Template-Type: ReDIF-Article 1.0
Author-Name: Ravindra Ojha
Author-X-Name-First: Ravindra
Author-X-Name-Last: Ojha
Author-Name: Prem Vrat
Author-X-Name-First: Prem
Author-X-Name-Last: Vrat
Title: Prioritising factors for manufacturing growth in India: an analytic network process approach
Abstract:
The purpose of the paper has been to analyse the role, the impact and setting up right priorities of the 13 growth factors involved in accelerating India's manufacturing sector growth. An analytic network process (ANP) framework has been developed with a goal of accelerating Indian manufacturing growth which is influenced by eight key-drivers and five manufacturing industry-segments. In order to find the comparative weights of the factors, a questionnaire-based survey was carried out on 42 experts from the top-management of industry, consultancy and academia. In the current low manufacturing growth rate environment, the Indian manufacturing industry segments needing high priority are: resource-intensive, global technology and innovation and global innovation for local-market. The vital-few five key-drivers for fast-tracking manufacturing growth are: good-governance, technology-deployment, core-infrastructure, investment and financing and worker-skill. The application of ANP approach has provided some useful insights to the policy-makers on setting the priorities for the Indian manufacturing strategy.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 32-52
Issue: 1
Volume: 28
Year: 2018
Keywords: manufacturing growth factors; key drivers; analytic network process; ANP; priorities; manufacturing segments; India.
File-URL: http://www.inderscience.com/link.php?id=88560
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:1:p:32-52
Template-Type: ReDIF-Article 1.0
Author-Name: Ghorbanali Moslemipour
Author-X-Name-First: Ghorbanali
Author-X-Name-Last: Moslemipour
Author-Name: T.S. Lee
Author-X-Name-First: T.S.
Author-X-Name-Last: Lee
Author-Name: Y.T. Loong
Author-X-Name-First: Y.T.
Author-X-Name-Last: Loong
Title: Solving stochastic dynamic facility layout problems using proposed hybrid AC-CS-SA meta-heuristic algorithm
Abstract:
This paper proposes a novel hybrid algorithm in which simulated annealing algorithm starts with a population of good initial solutions constructed by combining ant colony, clonal selection, and robust layout design approaches. The proposed algorithm can be used to solve a dynamic (multi-period) facility layout problem in both deterministic and stochastic cases. In the stochastic environment, product demands are assumed to be normally distributed random variables with known probability density function that changes from period to period at random. In addition, a quadratic assignment-based mathematical model, which is used in the proposed hybrid algorithm, is developed to design a robust layout for the stochastic dynamic layout problem. Finally, the performance of the proposed algorithm is evaluated by solving a large number of randomly generated test problems and some test problems from the literature in stochastic and deterministic cases respectively. The results show that the hybrid algorithm has an outstanding performance from both solution quality and computational time points of view.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-31
Issue: 1
Volume: 28
Year: 2018
Keywords: ant colony optimisation; clonal selection; simulated annealing; stochastic dynamic layout problem.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:1:p:1-31
Template-Type: ReDIF-Article 1.0
Author-Name: Jafar Bagherinejad
Author-X-Name-First: Jafar
Author-X-Name-Last: Bagherinejad
Author-Name: Maryam Mirzaei
Author-X-Name-First: Maryam
Author-X-Name-Last: Mirzaei
Title: Developing heuristic algorithms for optimisation of location-allocation of fuel-distribution network
Abstract:
The aim of this paper is to determine the optimal locations for the construction of refuelling stations for vehicles in urban distribution networks including paths and intersections. The objective is to maximise the covered demands with certain number of facilities. For this purpose, mathematical modelling of location-allocation based on the maximal coverage is developed. Considering the service capacity constraint for refuelling stations is one of the innovations of this research. Changing the approach from the node-based to path-based for demands and facility location makes a new way to the location problems of this field. The proposed algorithms have been approved by solving a numerical example. The overall findings show that in the maximal covering of demands, the third heuristic algorithm is better than others based on the fewer number of determined stations.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 99-116
Issue: 1
Volume: 28
Year: 2018
Keywords: refuelling location model; heuristic algorithm; maximal covering; path-based approach; service capacity constraint.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:1:p:99-116
Template-Type: ReDIF-Article 1.0
Author-Name: Fu-Min Chang
Author-X-Name-First: Fu-Min
Author-X-Name-Last: Chang
Author-Name: Yu-Tang Lee
Author-X-Name-First: Yu-Tang
Author-X-Name-Last: Lee
Author-Name: Chia-Jung Chang
Author-X-Name-First: Chia-Jung
Author-X-Name-Last: Chang
Author-Name: Chung Yeh
Author-X-Name-First: Chung
Author-X-Name-Last: Yeh
Title: Analysis of a standby redundant system with controlled arrival of failed machines
Abstract:
This paper deals with a queueing characterisation of a machine repair system with controlled arrival of failed machines. The maintenance facility will allow the failed machines to enter the system till full capacity, then no further arriving failed machines are allowed to enter the maintenance facility until the number of failed machines in the maintenance facility decreases to a certain threshold value. For such system, we derive the explicit expressions for the steady-state availability, the steady-state busy period, and the mean time to system failure. We also perform a parametric analysis for investigating the effect of changes in the system parameters on the total expected profit function. Several cases are analysed graphically to study the effect of various parameters on the reliability and mean time to failure (MTTF) of the system.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 117-134
Issue: 1
Volume: 28
Year: 2018
Keywords: controlling arrival policy; steady-state availability; busy period; mean time to failure.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:1:p:117-134
Template-Type: ReDIF-Article 1.0
Author-Name: Vinod Kumar
Author-X-Name-First: Vinod
Author-X-Name-Last: Kumar
Author-Name: Kamal Kumar Jangra
Author-X-Name-First: Kamal Kumar
Author-X-Name-Last: Jangra
Author-Name: Vikas Kumar
Author-X-Name-First: Vikas
Author-X-Name-Last: Kumar
Author-Name: Neeraj Sharma
Author-X-Name-First: Neeraj
Author-X-Name-Last: Sharma
Title: GA-based optimisation using RSM in WEDM of Nimonic-90: a nickel-based super alloy
Abstract:
The present research work is focused on optimisation of WEDM process parameters for machining of Nimonic-90. It is a nickel-based alloy possessing creep resistance and high rupture strength at high temperature (up to 950°C). Genetic algorithm (GA) and response surface methodology (RSM) incorporated with each other to optimise the process parameters. Four input process parameters viz. discharge current (Ip), pulse-off time (Toff), pulse-on time (Ton), and servo voltage (SV) have been investigated and modelled for surface roughness (SR) utilising RSM. In present experimentation, quadratic model has been suggested for surface roughness. Pulse-on time is most significant effect on surface roughness as compared to other parameters. Finally, genetic algorithm, a popular evolutionary approach is used to optimise the process parameters. Using SEM micrographs and micro-hardness profile, effect of discharge energy on surface morphology has been examined.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 53-69
Issue: 1
Volume: 28
Year: 2018
Keywords: wire electric discharge machining; WEDM; Nimonic-90; response surface methodology; RSM; surface roughness; genetic algorithm; GA.
File-URL: http://www.inderscience.com/link.php?id=88564
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:1:p:53-69
Template-Type: ReDIF-Article 1.0
Author-Name: Samir A. Alsobhi
Author-X-Name-First: Samir A.
Author-X-Name-Last: Alsobhi
Author-Name: Krishna K. Krishnan
Author-X-Name-First: Krishna K.
Author-X-Name-Last: Krishnan
Author-Name: Deepak Gupta
Author-X-Name-First: Deepak
Author-X-Name-Last: Gupta
Author-Name: Abdulaziz T. Almaktoom
Author-X-Name-First: Abdulaziz T.
Author-X-Name-Last: Almaktoom
Title: Analysis of damage costs in supply chain systems
Abstract:
In a supply chain system, products get damaged during shipping due to transportation hazards and poor packaging. The most common hazards in transportation include shocks, vibrations, accident, handling, etc. Damage from accidents and handling issues are not completely within the control of packaging. However, proper packaging can prevent most of the damage from shocks and vibration. The loss due to damage at each stage of the supply chain network can be reduced by selecting the appropriate packaging, transportation method and by shipping under assembled or unassembled condition. There is not much literature available in the area of goods damaged during shipping as applied to supply chain systems. A mathematical model which minimises the total costs (damage costs, shipping costs, and packaging costs) has been developed to address the issue of damage costs. The model is implemented in MATLAB. The mathematical models were verified by using total enumeration strategy. Case studies to illustrate and validate the procedure were developed and implemented in MATLAB.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 70-98
Issue: 1
Volume: 28
Year: 2018
Keywords: damage cost; supply chain risk; shortest path; shipping cost; packaging cost.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:1:p:70-98
Template-Type: ReDIF-Article 1.0
Author-Name: Francesco Lolli
Author-X-Name-First: Francesco
Author-X-Name-Last: Lolli
Author-Name: Rita Gamberini
Author-X-Name-First: Rita
Author-X-Name-Last: Gamberini
Author-Name: Mauro Gamberi
Author-X-Name-First: Mauro
Author-X-Name-Last: Gamberi
Author-Name: Marco Bortolini
Author-X-Name-First: Marco
Author-X-Name-Last: Bortolini
Title: The training of suppliers: a linear model for optimising the allocation of available hours
Abstract:
The cost of quality represents a relevant item in total manufacturing costs. The learning process is incorporated into contemporary models because of its impact on unitary production costs through both autonomous (learning by doing) and induced (learning by means of proactive actions) learning processes. A learning model with time-varying learning rate is proposed in order to establish the relationship between quality improvements and training hours to allocate to suppliers. The performance indicator adopted is the rate of non-conforming units, rather than the more traditional process variance. This enables definition of a novel total cost function, which can be minimised for the best allocation of training hours to suppliers during a single learning cycle. A novel criterion also emerges for the evaluation of suppliers in terms of investment opportunity. Finally, a case study was carried out in order to verify the applicability of this model to real industrial settings.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 135-151
Issue: 2
Volume: 28
Year: 2018
Keywords: learning curves; LC; cost of quality; CoQ; continuous improvement; non-conforming units.
File-URL: http://www.inderscience.com/link.php?id=89133
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:135-151
Template-Type: ReDIF-Article 1.0
Author-Name: Emad Roghanian
Author-X-Name-First: Emad
Author-X-Name-Last: Roghanian
Author-Name: Baharak Ghorbani
Author-X-Name-First: Baharak
Author-X-Name-Last: Ghorbani
Author-Name: Mohammad Alipour
Author-X-Name-First: Mohammad
Author-X-Name-Last: Alipour
Title: Application of intuitionistic fuzzy numbers in SWOT analysis
Abstract:
Strategic studies are of high importance in every business administration. Some of them, like strengths, weaknesses, opportunities, threats (SWOT), can be used widely. However, uncertainty is always considered as a major obstacle for extracting strategies from these techniques. On the other hand, introduction of fuzzy logic facilitates the connection between real world managerial problems and deterministic mathematics. This paper thus focused on vague characteristic of the data used in SWOT analysis, and tried to solve it by utilisation of the intuitionistic fuzzy numbers (IFN), as a transformation which enables the outcome of this procedure to be identified more explicitly.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 152-165
Issue: 2
Volume: 28
Year: 2018
Keywords: strengths, weaknesses, opportunities, threats; SWOT; fuzzy set; intuitionistic fuzzy number; IFN; α-cut.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:152-165
Template-Type: ReDIF-Article 1.0
Author-Name: Arpan Gupta
Author-X-Name-First: Arpan
Author-X-Name-Last: Gupta
Author-Name: Mangey Ram
Author-X-Name-First: Mangey
Author-X-Name-Last: Ram
Title: Finite difference solution to stochastic partial differential equations in reliability
Abstract:
The paper presents a numerical method to solve for the reliability measures of a Markovian system. The model is obtained from the field of reliability engineering for systems having constant failure and repair rates. Generally, the steady state behaviour of the system is studied due to some constraint on obtaining the transition state solution. The proposed method helps to govern the transition state probability values, by utilising a finite difference method in concurrence with the results of integral appearing in stochastic differential equation obtained using the supplementary variable technique. Results thus achieved are found to be effective for studying the transition state behaviour of the system.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 166-177
Issue: 2
Volume: 28
Year: 2018
Keywords: reliability modelling; stochastic process; finite difference method; transition state probabilities.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:166-177
Template-Type: ReDIF-Article 1.0
Author-Name: Ji-yun Qin
Author-X-Name-First: Ji-yun
Author-X-Name-Last: Qin
Author-Name: Zhen-yuan Jia
Author-X-Name-First: Zhen-yuan
Author-X-Name-Last: Jia
Author-Name: Jian-wei Ma
Author-X-Name-First: Jian-wei
Author-X-Name-Last: Ma
Author-Name: De-ning Song
Author-X-Name-First: De-ning
Author-X-Name-Last: Song
Author-Name: Li-kun Si
Author-X-Name-First: Li-kun
Author-X-Name-Last: Si
Title: Kinematical performance prediction method for rotary axes of 5-axis machine tool in processing of complex curved surface
Abstract:
The 5-axis machine tool has obvious advantages in processing parts with complex curved surface. Due to the shape complexity of the curved surface and the inflexibility programming of tool orientation, the velocity, acceleration and jerk of rotary axes of 5-axis machine tool always fluctuate significantly during 5-axis high speed machining (HSM), which is one of the important reasons for affecting the quality and the efficiency in 5-axis machining. In this study, a kinematical performance prediction method for rotary axes of 5-axis machine tool is presented, and the velocity, acceleration and jerk of rotary axes during the actual machining can be pre-calculated by it. The prediction method can be easily integrated into the CAM system and can constitute as an indicator for 5-axis trajectory optimisation and feed scheduling. To verify the proposed method, two tests are conducted on a 5-axis milling machine tool controlled by SINUMERIK 840D system, and the prediction results are perfectly matched with the measured results got by 840D system.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 178-192
Issue: 2
Volume: 28
Year: 2018
Keywords: 5-axis machine tool; complex curved surface machining; rotary axes; kinematical performance prediction.
File-URL: http://www.inderscience.com/link.php?id=89136
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:178-192
Template-Type: ReDIF-Article 1.0
Author-Name: D.P. Tambuskar
Author-X-Name-First: D.P.
Author-X-Name-Last: Tambuskar
Author-Name: B.E. Narkhede
Author-X-Name-First: B.E.
Author-X-Name-Last: Narkhede
Author-Name: Siba Sankar Mahapatra
Author-X-Name-First: Siba Sankar
Author-X-Name-Last: Mahapatra
Title: A flexible clustering approach for virtual cell formation considering real-life production factors using Kohonen self-organising map
Abstract:
In dynamic production environment, quick adaptation for new product design is an important issue to achieve competitive edge. To address this issue, virtual cellular manufacturing has been evolved to improve shop flexibility and setup efficiency of cellular manufacturing system. The virtual manufacturing cell (VMC) involves grouping of parts to form part families and grouping of machines to form machine cells without physical boundaries of cells. Kohonen's self-organising map (KSOM), an unsupervised neural network technique, is employed in this work for cell formation because of its flexibility in dynamic clustering of parts and machines. The proposed KSOM network approach considers real life production factors like processing time, operation sequence, routing flexibility, machine capacity, machine flexibility and demand to design machine cells. A numerical example from literature is used to illustrate the proposed methodology. The methodology is tested on benchmark problems of different size and performance measures such as group technology efficiency (GTE) and exceptional elements (EE) are evaluated. The results indicate that the proposed approach is quite capable of solving different sizes of problems and outperforms the existing methods in some cases.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 193-215
Issue: 2
Volume: 28
Year: 2018
Keywords: virtual manufacturing cell; VMC; Kohonen's self-organising map; KSOM; group technology efficiency; GTE; exceptional element.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:193-215
Template-Type: ReDIF-Article 1.0
Author-Name: Pratima Verma
Author-X-Name-First: Pratima
Author-X-Name-Last: Verma
Author-Name: R.R.K. Sharma
Author-X-Name-First: R.R.K.
Author-X-Name-Last: Sharma
Title: The linkages between horizontal strategy, person-environment fit and horizontal fit: an empirical study
Abstract:
The purpose of this paper is to identify relationship between horizontal strategy, person-environment fit and horizontal fit. The selection of employees in the organisation, based on their skills, capabilities and knowledge, so organisation recruitment strategy should associated to organisation strategy. Horizontal strategy is corporate strategy which is very difficult to execute in the real world because there is no generalised and standardised structure. Today's best companies are horizontally integrated for achievement of sustainable competitive advantage that cannot easily imitated. Consequently, we are trying to determine the types of employee selection that are associated to horizontal strategy. Based on review of extant literature, seven hypotheses are proposed that examine the relationships. The empirical data was drawn from 267 Indian firms. The data was analysed using correlation and multiple regression analyses to validate these hypotheses. Our present study is unique in terms of scope and its contribution to theory and practice of horizontal strategy.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 216-239
Issue: 2
Volume: 28
Year: 2018
Keywords: horizontal strategy; horizontal fit; person-environment fit; person-job fit; person-organisation fit; person-group fit.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:216-239
Template-Type: ReDIF-Article 1.0
Author-Name: Mahsa Pouraliakbari
Author-X-Name-First: Mahsa
Author-X-Name-Last: Pouraliakbari
Author-Name: Mohammad Mohammadi
Author-X-Name-First: Mohammad
Author-X-Name-Last: Mohammadi
Author-Name: Abolfazl Mirzazadeh
Author-X-Name-First: Abolfazl
Author-X-Name-Last: Mirzazadeh
Title: Analysis of maximal covering location-allocation model for congested healthcare systems in user choice environment
Abstract:
This paper attempts to shed light onto the formulation and the solution of a probabilistic maximal covering location model for determining the optimal location of facilities in congested healthcare systems with referral hierarchical structure. We will address healthcare systems operating in a competitive setting and when the customers choose the facilities they patronise, by the travel time to the hospitals and service costs at each hospital. The hospitals have several low-level sections for offering low level services (such as primary services) and several high-level sections for offering high level services (such as professional services) and the patients will refer to different sections of hospitals according to their requirements and their physical conditions. Our objective is to minimise the total amount of demand that is lost in the system. To solve the model, two meta-heuristic algorithms, including population-based simulated annealing (PBSA) and ant colony optimisation (ACO) have been executed and analysed using statistical test and TOPSIS method to determine which algorithm works better.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 240-274
Issue: 2
Volume: 28
Year: 2018
Keywords: probabilistic maximal covering location problem; congested system; healthcare system; user choice environment; hierarchical structure; queuing theory; competitive environment; population-based simulated annealing; PBSA; ant colony optimisation; ACO.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:240-274
Template-Type: ReDIF-Article 1.0
Author-Name: Farzad Firouzi Jahantigh
Author-X-Name-First: Farzad Firouzi
Author-X-Name-Last: Jahantigh
Author-Name: Ali Noroozian
Author-X-Name-First: Ali
Author-X-Name-Last: Noroozian
Author-Name: Ali Daneshi
Author-X-Name-First: Ali
Author-X-Name-Last: Daneshi
Title: Using the knowledge base and fuzzy inference system to estimate the safety factor in calculating the number of the kanban cards
Abstract:
There are many studies in the field of using fuzzy logic in estimating the logistic computational parameters. In most of these studies, the proposed model is too large and too complicated which contains a lot of parameters. These issues make the proposed models hard to use in many industries. In this article, the safety factor considered in kanban card calculations named kanban safety factor and its relationship with fuzzy theory are addressed. Since kanban safety factor is obtained using expert judgements, there is uncertainty in it. Therefore, a practical fuzzy method is introduced in this article to calculate kanban safety factor. The method is efficient due to its simple calculations and comprehensive due to its ability to consider all parameters that affect kanban safety factor. The new proposed fuzzy method is implemented in a warehouse of Iran Khodro Corporation of Iran which resulted in remarkable improvements.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 275-287
Issue: 2
Volume: 28
Year: 2018
Keywords: fuzzy knowledge base; fuzzy inference engine; kanban; kanban safety factor; fuzzy membership functions.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:2:p:275-287
Template-Type: ReDIF-Article 1.0
Author-Name: Dillip Kumar Mohanty
Author-X-Name-First: Dillip Kumar
Author-X-Name-Last: Mohanty
Author-Name: Abhijit Padhiary
Author-X-Name-First: Abhijit
Author-X-Name-Last: Padhiary
Title: Effect of moisture in gasification of biomass using entrained flow gasifier at constant equivalence ratio
Abstract:
Biomass entrained flow gasification is a promising technology due to its commercial availability, high efficiency and high potential for the production of biofuels and chemicals from biomass. The entrained flow gasification has been investigated in order to evaluate the effect of the moisture content at a fixed equivalence ratio on the gasifier performance and the producer gas quality. The composition of the producer gas and the adiabatic flame temperature has been analysed with moisture varying from 10% to 30% at an equivalence ratio of 0.2609. The results show that steam gasification gives more yield of fuel while the temperature reduces with moisture content. The optimum moisture content to maximise the fuel content maintaining the reaction temperature at 1,000 K is found to be 18% to 19%. Simultaneously, the optimum calorific value of the fuel is found to be 7-8 MJ/Nm<SUP align="right"><SMALL>3</SMALL></SUP>.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 289-299
Issue: 3
Volume: 28
Year: 2018
Keywords: biomass; entrained flow gasifier; equivalence ratio; moisture; adiabatic flame temperature.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:289-299
Template-Type: ReDIF-Article 1.0
Author-Name: Namita Jaiswal
Author-X-Name-First: Namita
Author-X-Name-Last: Jaiswal
Author-Name: Seema Negi
Author-X-Name-First: Seema
Author-X-Name-Last: Negi
Author-Name: S.B. Singh
Author-X-Name-First: S.B.
Author-X-Name-Last: Singh
Title: Reliability analysis of non-repairable weighted k-out-of-n system using belief universal generating function
Abstract:
In this study reliability analysis of non-repairable weighted <i>k</i>-out-of-<i>n</i>: <i>G</i> (<i>F</i>) systems by incorporating uncertainties namely aleatory and epistemic have been considered. To remove these uncertainties the combination of mass distribution, fuzzy exponential distribution and belief universal generating function have been used. The failure rate (<i>λ</i>) of each component is taken as trapezoidal fuzzy number. Using the proposed method fuzzy reliability function of each component have been calculated and then distributed masses among the components. With the help of these masses reliability and MTTF of the proposed system have been obtained. Lastly, a numerical example is taken to understand the proposed method.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 300-318
Issue: 3
Volume: 28
Year: 2018
Keywords: weighted k-out-of-n system; fuzzy exponential distribution; belief universal generating function; BUGF; system reliability; mean time to failure.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:300-318
Template-Type: ReDIF-Article 1.0
Author-Name: Wenhao Gui
Author-X-Name-First: Wenhao
Author-X-Name-Last: Gui
Author-Name: Xinman Lu
Author-X-Name-First: Xinman
Author-X-Name-Last: Lu
Title: Double acceptance sampling plan based on the Burr type X distribution under truncated life tests
Abstract:
In this paper, we propose a double acceptance sampling plan for the Burr type X distribution when the lifetime experiment is truncated at a predetermined time. Considering the zero and one failure scheme, the minimum sample sizes of the first and second samples necessary to ensure the specified median life are obtained at the given consumer's confidence level. The operating characteristic values are analysed with various ratios of the true median lifetime to the specified life of the product. The minimum ratios of the median life to the specified life are also presented. We illustrate the double acceptance sampling plan with a numerical example.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 319-330
Issue: 3
Volume: 28
Year: 2018
Keywords: double acceptance sampling plan; producer's risk; truncated life test; Burr type X distribution; operating characteristic function value.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:319-330
Template-Type: ReDIF-Article 1.0
Author-Name: Yin Liu
Author-X-Name-First: Yin
Author-X-Name-Last: Liu
Author-Name: Zhaoqin Lu
Author-X-Name-First: Zhaoqin
Author-X-Name-Last: Lu
Title: Research on interval triangular fuzzy multi-attribute fault diagnosis methods based on the grey relation grade
Abstract:
Considering the fuzzy multi-attribute problems of components' failure information, a fault diagnosis model of a Bayesian network based on the interval triangular fuzzy multi-attribute decision method was built. First, the fault multi-attribute hierarchies were represented as a Bayesian network structure by Bayesian network causal dependencies, which reduced the complexity of the multi-attribute hierarchy. Second, in the condition that weight information is completely unknown, grey correlation optimal models were constructed based on the grey correlation analysis method. Furthermore, faulty components were sorted and the component with the highest value was optimised, and the calculation method of interval triangle fuzzy multi-attribute decision based on the grey correlation was given, which realised the fault diagnosis of the system fuzzy multiple-attribute problem. Finally, the method was applied in an analysis of a case of fault diagnosis on a CNC machine tool servo system with a low voltage alarm, which verified the effectiveness of the method.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 331-345
Issue: 3
Volume: 28
Year: 2018
Keywords: grey correlation degree; interval triangle; multiple-attribute decision; Bayesian network; fault diagnosis.
File-URL: http://www.inderscience.com/link.php?id=89743
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:331-345
Template-Type: ReDIF-Article 1.0
Author-Name: Horng-Jinh Chang
Author-X-Name-First: Horng-Jinh
Author-X-Name-Last: Chang
Author-Name: Chih-Ming Hsieh
Author-X-Name-First: Chih-Ming
Author-X-Name-Last: Hsieh
Title: A new model for selecting sites for chain stores in China
Abstract:
Retail chains, particularly those with small stores of approximate area of 150-180 square feet, are expanding aggressively in China. Because studies and essays related to this phenomenon are rare, this study evaluated the ideal locations for such chain stores. The three major aspects of site selection are population structure of the trade area, traffic-carrying capacity, and attraction of the facilities; these aspects can be decomposed into ten site-selection elements: crowd flow in front of the retail store, resident population, target number of clients, complementary stores, mutually exclusive shops, advantages in establishing the store, disadvantages in establishing the store, actual usable space in the store, ratio of rent to gross profit volume and rate of investment return. Multiple stepwise regression was applied in this study. The evaluation model provides retailers a fast and reliable store selection method for acquiring profitable new stores.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 346-359
Issue: 3
Volume: 28
Year: 2018
Keywords: retail chains; site selection; stepwise regression; chain stores; China.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:346-359
Template-Type: ReDIF-Article 1.0
Author-Name: Ahmadi Hamdan Musman
Author-X-Name-First: Ahmadi Hamdan
Author-X-Name-Last: Musman
Author-Name: Rosmaini Ahmad
Author-X-Name-First: Rosmaini
Author-X-Name-Last: Ahmad
Title: Critical component identification and autonomous maintenance activities determination using fuzzy analytical hierarchy process method
Abstract:
Autonomous maintenance (AM) is a preventive maintenance (PM) strategy that focuses on the 'man-machine' relationship towards effectively performing the following activities: cleaning, lubricating and tightening. The previous literature found that most of the applications and implementations of AM strategy were only discussed as a subset of total productive maintenance (TPM) and from a managerial perspective. This paper highlights the technical issue of AM strategy implementation by proposing an AM decision model using the fuzzy analytical hierarchy process (FAHP) method to identify the critical components and to determine the right AM activities. A case study that used a lathe machine was used to validate the model. The model assists the maintenance engineering team to systematically implement an AM strategy with their production assets. The benefit of this model is that it minimises the maintenance costs and time by identifying and determining the right component to be focused on for maintenance as well as the right maintenance activities to be carried out.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 360-378
Issue: 3
Volume: 28
Year: 2018
Keywords: autonomous maintenance activities; fuzzy analytical hierarchy process; FAHP; critical components.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:360-378
Template-Type: ReDIF-Article 1.0
Author-Name: Shyamal Samant
Author-X-Name-First: Shyamal
Author-X-Name-Last: Samant
Author-Name: Varinder Kumar Mittal
Author-X-Name-First: Varinder Kumar
Author-X-Name-Last: Mittal
Author-Name: Ravi Prakash
Author-X-Name-First: Ravi
Author-X-Name-Last: Prakash
Title: Resource optimisation for an automobile chassis manufacturer through value stream mapping enhanced with simulation technique and constraint programming
Abstract:
Incorporation of lean thinking has become an essential part of any manufacturing system, as reducing waste leads to cost savings and hence competitiveness of the company. Value stream mapping (VSM) which leads to cost savings is a part of the portfolio of tools to achieve lean orientation in manufacturing systems. Lean implementation starts with the application of VSM to an assembly line; however, it has various limitations. VSM being a pencil-and-paper technique is a static tool. It does not provide a dynamic view of the situation. There is need to enhance the VSM through discrete-event simulation (DES) technique (using Arena® simulation software) and constraint programming (using CPLEX® optimisation software) for an assembly line balancing problem (ALBP). This study suggests the usage of a simulation tool to gain meaningful insight into an assembly line to minimise waste. Constraint programming using combinatorial optimisation helps in efficient resource planning of an automotive chassis assembly line. Although the primary focus of this paper is manpower optimisation, but methodology discussed in this paper can be used for optimisation of machine resources as well. This study is expected to enhance the lean optimisation of the assembly lines.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 379-401
Issue: 3
Volume: 28
Year: 2018
Keywords: value stream mapping; VSM; lean thinking; resource optimisation; constraint programming.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:379-401
Template-Type: ReDIF-Article 1.0
Author-Name: V. Thiagarajan
Author-X-Name-First: V.
Author-X-Name-Last: Thiagarajan
Author-Name: T.N. Srikantha Dath
Author-X-Name-First: T.N. Srikantha
Author-X-Name-Last: Dath
Author-Name: Chandrasekharan Rajendran
Author-X-Name-First: Chandrasekharan
Author-X-Name-Last: Rajendran
Title: Manufacturing flow time estimation using the model-tree induction approach in a dynamic job shop environment
Abstract:
We describe an application of a supervised learning method, namely, model-tree induction, for the estimation of flow time in a dynamic job shop. An attempt is made to incorporate transfer batching as order review and release policy in the simulation model, whereas much of previous research appears to have ignored the order-review and release policy. The computational evaluation performance shows that the prediction accuracy of the model-tree induction method is superior to traditional methods such as total-work-content method and the dynamic-total-work-content method in estimating the flow time. This research work has been carried out with an open-source software in order to demonstrate the use of machine learning tools by the resource-constrained small- and medium-enterprises in their decision making processes.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 402-420
Issue: 3
Volume: 28
Year: 2018
Keywords: simulation; machine learning; data mining; model-tree induction; manufacturing flow time estimation.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:3:p:402-420
Template-Type: ReDIF-Article 1.0
Author-Name: Muhammad Esyam Bin Adip
Author-X-Name-First: Muhammad Esyam Bin
Author-X-Name-Last: Adip
Author-Name: Darius El Pebrian
Author-X-Name-First: Darius El
Author-X-Name-Last: Pebrian
Title: Performance comparisons of utilisation of silo and non-silo systems in mechanising fertiliser application in Malaysian oil palm plantation industry
Abstract:
The labour shortage and rising of fertiliser prices that is being faced by the oil palm plantation industries in Malaysia becomes challenging problems in their operations to achieve sustainability of economic and productivity. Thus, mechanisation has been adopted as an alternative approach to replace labour and at the same time to save costs in fertiliser application. This study was conducted to compare field performances of silo and non-silo systems in mechanising fertiliser application in Malaysian oil palm plantation industry. The silo system uses a temporary silo for storage the fertiliser in the field, while the non-silo system applies directly the fertiliser from the storage house. The results showed that the silo system gave a field capacity of 3.77 ha h<SUP align="right"><SMALL>−1</SMALL></SUP> or 1.5 times greater than that of 2.49 ha h<SUP align="right"><SMALL>−1</SMALL></SUP> of the non-silo. The total cost of silo was USD 3.31 ha<SUP align="right"><SMALL>−1</SMALL></SUP> or 5.74% higher as compared to USD 3.12 ha<SUP align="right"><SMALL>−1</SMALL></SUP> of the non-silo. The findings are only applicable for flat and undulating areas. Nonetheless, both systems can be considered as low-cost systems as compared to the manual system, which requires a total costs ranging from USD 3.66 ha<SUP align="right"><SMALL>−1</SMALL></SUP> to USD 4.28 ha<SUP align="right"><SMALL>−1</SMALL></SUP> for fertilising operation. The silo system is recommended for those plantations which need a timeliness of fertiliser application in the field.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 421-432
Issue: 4
Volume: 28
Year: 2018
Keywords: fertiliser application; silo and non-silo; mechanisation system; oil palm industry; farm machinery; Malaysia.
File-URL: http://www.inderscience.com/link.php?id=90443
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:4:p:421-432
Template-Type: ReDIF-Article 1.0
Author-Name: Filmon Andemeskel
Author-X-Name-First: Filmon
Author-X-Name-Last: Andemeskel
Author-Name: Daniel T. Semere
Author-X-Name-First: Daniel T.
Author-X-Name-Last: Semere
Title: Model-based collaborative development of manufacturing and control systems
Abstract:
This paper presents a collaborative model-based development method for a manufacturing system and its control system. The method is aimed towards improving the traditional manufacturing and control systems development approaches that are often done independently and in sequence. First the interactions and dependencies in the multi-disciplinary development process are identified. Depending on the desired the level of abstraction, a system is modelled in a discipline neutral modelling language from which domain-specific models are automatically transformed to a language of a target modelling environment. These models are then used as a basis for further development by domain experts. As an illustrative case, SysML is used for modelling of a high level system concept of a manufacturing cell. The subsequent modelling, simulation and the associated verification, validation and control code generation steps are described.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 433-450
Issue: 4
Volume: 28
Year: 2018
Keywords: collaborative development; co-modelling and co-simulation; PLC; virtual commissioning.
File-URL: http://www.inderscience.com/link.php?id=90445
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:4:p:433-450
Template-Type: ReDIF-Article 1.0
Author-Name: Loh Wei Lie
Author-X-Name-First: Loh Wei
Author-X-Name-Last: Lie
Author-Name: Nurhasyimah Abd Aziz
Author-X-Name-First: Nurhasyimah Abd
Author-X-Name-Last: Aziz
Author-Name: Dzuraidah Abd Wahab
Author-X-Name-First: Dzuraidah Abd
Author-X-Name-Last: Wahab
Author-Name: Mohd Nizam Ab Rahman
Author-X-Name-First: Mohd Nizam Ab
Author-X-Name-Last: Rahman
Author-Name: Che Husna Azhari
Author-X-Name-First: Che Husna
Author-X-Name-Last: Azhari
Title: Enhancing remanufacturing efficiency in Malaysia through a knowledge support system: a case study of brake callipers
Abstract:
Implementing remanufacturing is certainly a challenge to the new industry in many developing countries since this most promising end of life recovery option requires products to be returned to 'as new' condition. The remanufacturing process requires specific knowledge, skill and the experience of the operators; hence the need for knowledge-based system to ensure an efficient reprocessing of the ELV components. For the purpose of this study, a prototype support system for the remanufacturing of brake callipers was developed. Knowledge and experience on the disassembly and reprocessing of brake callipers and the remanufacturing of ELV components in general are gathered from a case study in a local company involved in repairing of brake callipers. Based on knowledge gathered through interviews, observations and comparison with practices documented by established practitioners, a graphical user interface (GUI) support system for the remanufacturing of brake calliper was proposed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 451-467
Issue: 4
Volume: 28
Year: 2018
Keywords: end of life vehicle; remanufacturing; reuse; knowledge and skills; knowledge support system; brake calliper; inspection; disassembly; reprocessing; National Automotive Policy; NAP.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:4:p:451-467
Template-Type: ReDIF-Article 1.0
Author-Name: Shima Arabzadeh
Author-X-Name-First: Shima
Author-X-Name-Last: Arabzadeh
Title: Ranking of companies regarding the effective factors on technology transfer using FAHP and fuzzy TOPSIS techniques
Abstract:
The purpose of this research is to realise how organisations have been sustaining their growth through applying technology transfer factors. Regarding the thematic nature of a research model, experts' opinion of the oil industry and companies in the oil industry have been examined in the current study which included: 1) oil pipeline and telecommunication company; 2) oil products distribution company; 3) national gas company in Semnan and Khorasan province, all have been brought for this research as a statistic population. The results obtained from both methods indicate that the oil pipeline and telecommunication company are more important than the national gas company, and the oil product distribution company. The results obtained from fuzzy AHP technique, according to the technology transfer factors, indicate that the technological feature is of most importance for the oil industry than the organisational feature, personnel feature, and industrial feature. According to the technological feature scale, it is concluded that diffusion is the most important factor among the other factors.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 468-493
Issue: 4
Volume: 28
Year: 2018
Keywords: technology transfer; technology transfer factors; FAHP; fuzzy TOPSIS.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:4:p:468-493
Template-Type: ReDIF-Article 1.0
Author-Name: Viral Gupta
Author-X-Name-First: Viral
Author-X-Name-Last: Gupta
Author-Name: Parmod Kumar Kapur
Author-X-Name-First: Parmod Kumar
Author-X-Name-Last: Kapur
Author-Name: Deepak Kumar
Author-X-Name-First: Deepak
Author-X-Name-Last: Kumar
Title: Measuring architecture and design efficiency for enterprise applications
Abstract:
The efficiency of architectural and design attributes in enterprise applications plays a very crucial role in the successful implementation. These attributes are the building blocks of the software program that influence the overall quality and customer satisfaction. Despite of various controls and metrics available in quality management discipline, the implementation of enterprise applications tend to fail or do not accomplish the desired level of efficiency in terms of architectural and design attributes. This research paper presents a two-way framework that is based on analytic hierarchy process for measuring and controlling these attributes across various stages in the implementation life cycle. The proposed framework calculates the utility measure for these attributes, which is an indication of performance and efficiency. An experiment was conducted on an enterprise application project and the utility measure was derived using the proposed framework at various stages. The utility measure obtained from the framework demonstrated the improvement in the performance and efficiency of architectural and design attributes by 45%.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 494-529
Issue: 4
Volume: 28
Year: 2018
Keywords: architecture; design; utility measure; analytic hierarchy process; AHP; enterprise applications; quality; two-way assessment.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:4:p:494-529
Template-Type: ReDIF-Article 1.0
Author-Name: Pulkit Rana
Author-X-Name-First: Pulkit
Author-X-Name-Last: Rana
Author-Name: Anupam Das
Author-X-Name-First: Anupam
Author-X-Name-Last: Das
Author-Name: Swarnambuj Suman
Author-X-Name-First: Swarnambuj
Author-X-Name-Last: Suman
Author-Name: Jhareshwar Maiti
Author-X-Name-First: Jhareshwar
Author-X-Name-Last: Maiti
Title: A statistical monitoring strategy for a pulp and paper industry
Abstract:
The current article features the endeavour to develop a monitoring strategy for paper and pulp industry. The complexity involved in production of better quality pulp warrants the close monitoring of the process characteristics associated with the process. Partial least square regression (PLSR) which is a multivariate statistical projection-based technique is used for building the process representation which aids in the simultaneous monitoring of multiple correlated characteristics. Individual Hotelling T<SUP align="right"><SMALL>2</SMALL></SUP> chart has been developed to monitor each grade of paper being produced. However this leads to implementation of different control charts for different grades of paper adding to the dexterity of the methodology. In order to solve the above problem methodology hence developed is further extended to develop a combined control chart to monitor all the grades of paper simultaneously. Furthermore a comparative study of the competence of the developed unified control chart with respect to the individual charts is done.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 530-545
Issue: 4
Volume: 28
Year: 2018
Keywords: process monitoring; partial least square regression; PLSR; Hotelling T2 chart; diagnostic statistic; unified control chart.
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Handle: RePEc:ids:ijisen:v:28:y:2018:i:4:p:530-545
Template-Type: ReDIF-Article 1.0
Author-Name: Ankita Ray
Author-X-Name-First: Ankita
Author-X-Name-Last: Ray
Author-Name: Sandeep Mondal
Author-X-Name-First: Sandeep
Author-X-Name-Last: Mondal
Title: An optimisation approach for finding an optimal pricing in a hybrid manufacturing/remanufacturing system
Abstract:
Hybrid manufacturing/remanufacturing in closed loop manufacturing system (CLMS) has gained considerable attention in industry over past few years due to environmental concern. Remanufacturing of used products basically includes activities like acquisition of used product, reverse logistics, cleaning, inspection, reassembly, disposal of unused material, and remarketing. Determination of selling prices of remanufactured product is also complex and an important decision making area as the profitability of remanufacturing business is significantly dependent on it. Under the above circumstances in this research paper, a profit-maximisation model is developed to optimise selling price of new products and used products using genetic algorithm. OEM (original equipment manufacturer) sells remanufactured products in place of brand new products as there is no quality difference between them and also sells refurbished products and spare parts into secondary market. In this paper a numerical example and sensitivity analysis has been performed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-18
Issue: 1
Volume: 29
Year: 2018
Keywords: closed loop supply chain; pricing policies; profit maximisation model; genetic algorithm.
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:1:p:1-18
Template-Type: ReDIF-Article 1.0
Author-Name: Ramezan Nemati Keshteli
Author-X-Name-First: Ramezan Nemati
Author-X-Name-Last: Keshteli
Author-Name: Owais Torabi
Author-X-Name-First: Owais
Author-X-Name-Last: Torabi
Author-Name: Eesa Mahmoudi
Author-X-Name-First: Eesa
Author-X-Name-Last: Mahmoudi
Author-Name: Hassan Ghasemi
Author-X-Name-First: Hassan
Author-X-Name-Last: Ghasemi
Title: A novel hybrid approach based on fuzzy DEA-AHP
Abstract:
The data envelopment analysis (DEA) model is a non-parametric programming technique that helps to efficiency evaluating for every decision making units (DMUs) with multiple inputs and multiple outputs. In traditional DEA model, we need crisp data. But in the real world, most of the data are imprecise and uncertain. A major cause of uncertainty related to the non-quantifiable, incomplete and unachievable information. For this reason, fuzzy logic and fuzzy sets developed in different models of DEA. In this paper, a new hybrid model is developed for performance evaluation problems ranking of DMUs, with multiple inputs and fuzzy outputs. To achieve the best ranking of DMUs, fuzzy analytical hierarchy process (FAHP) is applied. Solving FAHP ends up in a full ranking of DMUs. Finally, to illustrate the proposed model an example is presented.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 19-30
Issue: 1
Volume: 29
Year: 2018
Keywords: fuzzy data envelopment analysis; FDEA; efficiency analysis; fuzzy analytical hierarchy process; FAHP.
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:1:p:19-30
Template-Type: ReDIF-Article 1.0
Author-Name: A. John Rajan
Author-X-Name-First: A. John
Author-X-Name-Last: Rajan
Author-Name: E.V.V. Ramanamurthy
Author-X-Name-First: E.V.V.
Author-X-Name-Last: Ramanamurthy
Author-Name: Rajdeep Nath
Author-X-Name-First: Rajdeep
Author-X-Name-Last: Nath
Author-Name: Prashant Kumar
Author-X-Name-First: Prashant
Author-X-Name-Last: Kumar
Title: Productivity enhancement by component-oriented line balancing method
Abstract:
The problem of balancing a production line has been one of the typical complications in the field of industrial engineering. An unbalanced production line associates with the downfall in productivity. Since productivity is the 'primus motor' of income in any firm, the above problem cannot be over sighted. In this paper a similar problem is being faced by a company which is unable to cope with the increasing demands of their product. The past data of component manufacturing process, resources required and the time taken is collected, when this data is analysed, constraints are observed in the testing machine of the production line. The elimination of bottleneck in this line is needed in order to escalate the productivity. The intended rate of production is achieved through component-oriented line balancing (COLB) approach. In this method the number of workstations is increased and hence bottle neck is removed. The comparison of the data before and after the implementation of component-oriented line balancing shows a simultaneous improvement in the productivity and reduction of labour cost.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 31-47
Issue: 1
Volume: 29
Year: 2018
Keywords: component-oriented line balancing; COLB; productivity improvement; automobile; work station; cycle time.
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:1:p:31-47
Template-Type: ReDIF-Article 1.0
Author-Name: S. Jeyakkannan
Author-X-Name-First: S.
Author-X-Name-Last: Jeyakkannan
Author-Name: T. Prabaharan
Author-X-Name-First: T.
Author-X-Name-Last: Prabaharan
Title: Modified improved genetic algorithm to minimise tri-objective functions in a textile mill
Abstract:
Efficient scheduling has become essential for manufacturing industries to survive in today's competitive business environment. A flow shop scheduling problem with processing times in textile yarn manufacturing mill is considered in this paper. The objective is to minimise the tri objective function of makespan time, meanflow time and machine idle time by using the exact sequencing method. To solve this problem modified improved genetic algorithm (MIGA) is proposed in this paper wherein multiple cross over operators and multiple mutation operators are fine tuned to obtain the above performance measures and the results show that the proposed algorithm can provide better results in textile industry problems when comparing with the results obtained through genetic algorithm (GA) and improved genetic algorithm (IGA).
Journal: Int. J. of Industrial and Systems Engineering
Pages: 48-61
Issue: 1
Volume: 29
Year: 2018
Keywords: flowshop scheduling; make span; mean flow time; machine idle time; tri objective function; modified improved genetic algorithm; MIGA.
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:1:p:48-61
Template-Type: ReDIF-Article 1.0
Author-Name: Faizul Huq
Author-X-Name-First: Faizul
Author-X-Name-Last: Huq
Author-Name: Trevor S. Hale
Author-X-Name-First: Trevor S.
Author-X-Name-Last: Hale
Author-Name: Heather S. Lutz
Author-X-Name-First: Heather S.
Author-X-Name-Last: Lutz
Author-Name: Nikhil A. Pujari
Author-X-Name-First: Nikhil A.
Author-X-Name-Last: Pujari
Title: Closed form models for dwell point locations with turnover-based storage assignment policy
Abstract:
This study investigates where an idle storage-retrieval device should dwell (locate) to minimise the expected response time of its next transaction for both an automated storage/retrieval system (AS/RS) and an automated storage carousel (ASC). A review of the relevant literature showed that previous attempts to obtain the dwell point location only considered a randomised storage assignment policy. This research proposes that under a myriad of operating conditions, the problem can be formulated as a <i>p</i>-median location problem on a tree network to incorporate the turnover-based storage assignment policy.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 62-73
Issue: 1
Volume: 29
Year: 2018
Keywords: dwell point location; facility location; location science; turnover-based storage assignment policy; TBSAP.
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:1:p:62-73
Template-Type: ReDIF-Article 1.0
Author-Name: Khalil Elbaz
Author-X-Name-First: Khalil
Author-X-Name-Last: Elbaz
Author-Name: Allaoua Chaoui
Author-X-Name-First: Allaoua
Author-X-Name-Last: Chaoui
Title: An empirical study to improve software quality through design patterns
Abstract:
Numerous elements influence the quality of software systems. One of these elements is the use of design patterns. This paper examines the influence of design patterns on quality requirements in particular maintainability. Improving the maintainability of software systems provides a higher opportunity for recovery because maintenance costs can use 60-80% of the complete budget of proprietorship of software systems. In addition, if the maintainability of the software system is poor, the destruction of the product will increase and the system will rapidly lose its importance to stakeholders. In this context, we propose a pattern guided approach to improve the maintainability of software products. Maintainability is measured by certain factors. We focus in this article on the observer and the façade design patterns to illustrate our work.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 74-94
Issue: 1
Volume: 29
Year: 2018
Keywords: maintainability; design patterns; tactics; metrics.
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:1:p:74-94
Template-Type: ReDIF-Article 1.0
Author-Name: Apriani Soepardi
Author-X-Name-First: Apriani
Author-X-Name-Last: Soepardi
Author-Name: Pratikto Pratikto
Author-X-Name-First: Pratikto
Author-X-Name-Last: Pratikto
Author-Name: Purnomo Budi Santoso
Author-X-Name-First: Purnomo Budi
Author-X-Name-Last: Santoso
Author-Name: Ishardita Pambudi Tama
Author-X-Name-First: Ishardita Pambudi
Author-X-Name-Last: Tama
Title: An updated literature review of agile manufacturing: classification and trends
Abstract:
In contemporary manufacturing area, agility is considerably acknowledged as an emerging issue to react to dynamic market environment changes. The implementation of agile manufacturing system proved to be efficient to acquire a competitive advantage. Since the agile manufacturing (AM) concept was popularised in 1991, there is a growing recognition by practitioners and academics. The aim of this study is to perform an analysis of AM research in order to update the literature review, give the current discussion regarding the trends and note the suggestions for the future directions of AM research. In this paper, we provide a wide coverage of excessively citations on AM from 1991 to 2015. The papers are classified in AM conceptual frameworks, agility assessment, agility achievement, merging lean and agile concepts, and adopting AM on small- and medium-sized enterprises. Furthermore, a category scheme to organise the journals is proposed and equipped by summary statistics presentation. The study results of the literature review are expected to assist development in the AM research.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 95-126
Issue: 1
Volume: 29
Year: 2018
Keywords: agile manufacturing; agility assessment; conceptual framework; leagile concept; sustainable manufacturing.
File-URL: http://www.inderscience.com/link.php?id=91436
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:1:p:95-126
Template-Type: ReDIF-Article 1.0
Author-Name: Seyed Sirvan Karimi
Author-X-Name-First: Seyed Sirvan
Author-X-Name-Last: Karimi
Author-Name: Mahdi Karbasian
Author-X-Name-First: Mahdi
Author-X-Name-Last: Karbasian
Author-Name: Reza Tavakkoli-Moghaddam
Author-X-Name-First: Reza
Author-X-Name-Last: Tavakkoli-Moghaddam
Title: Availability optimisation of multi-state series-parallel systems with human failures
Abstract:
Nowadays, the availability of systems and tendency to commit errors has become an important issue during the design of many engineering systems. Humans play a key role in the overall availability of engineering systems because many systems are interconnected by human links to a certain degree. Obviously, if the system is multi-state, methods to achieve the availability values of the system have an important role. In this paper, a redundancy optimisation problem for multi-state systems subject to human failures is formulated to minimise the system cost. Human failures are recognised with a fault tree analysis method, the universal generating function algorithm is used to compute the system availability and the genetic algorithm to optimise the system structure. To illustrate the credibility and applicability of the model, a case study is offered and analysed. The result of the solved model is corroborated and shows the efficiency of the used methods.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 127-143
Issue: 2
Volume: 29
Year: 2018
Keywords: human failures; minor and major failures; multi-state systems; MSS; UGF algorithm; genetic algorithm.
File-URL: http://www.inderscience.com/link.php?id=91896
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:127-143
Template-Type: ReDIF-Article 1.0
Author-Name: Mariyam Moumen
Author-X-Name-First: Mariyam
Author-X-Name-Last: Moumen
Author-Name: Houda El Aoufir
Author-X-Name-First: Houda El
Author-X-Name-Last: Aoufir
Title: Use and relevance of quality, safety and environment management tools and techniques: an empirical investigation, case of Moroccan companies
Abstract:
A large number of tools and techniques to improve the quality of products assess environmental impacts and manage the risks to health and safety at work, are available. It is interesting to characterise them in order to better understand their relationship and their relevance in different situations. Focusing on the level of use of these tools by responsible persons and target the most mentioned that seem most appropriate to different situations. In this paper, we conduct an empirical study to examine the level of use of quality, safety and environment management tools and techniques. To do this we use the responses of animators and representatives of QSE management systems in 34 Moroccan companies at least certified according to ISO 9001. After a diagnosis of the most serious, common and repetitive health and safety risks of all the companies surveyed, we discuss the action plans that are available to the Moroccan companies to evaluate the different health and safety problems at work. Finally we integrate all QSE tools and techniques encountered in a continuous improvement PDCA.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 144-162
Issue: 2
Volume: 29
Year: 2018
Keywords: quality; safety; environment; IMS; tools; Morocco.
File-URL: http://www.inderscience.com/link.php?id=91897
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:144-162
Template-Type: ReDIF-Article 1.0
Author-Name: Kamyar Hosseinzadeh Zoroofchi
Author-X-Name-First: Kamyar Hosseinzadeh
Author-X-Name-Last: Zoroofchi
Author-Name: Reza Farzipoor Saen
Author-X-Name-First: Reza Farzipoor
Author-X-Name-Last: Saen
Author-Name: Payman Bayat Lari
Author-X-Name-First: Payman Bayat
Author-X-Name-Last: Lari
Author-Name: Majid Azadi
Author-X-Name-First: Majid
Author-X-Name-Last: Azadi
Title: A combination of range-adjusted measure, cross-efficiency and assurance region for assessing sustainability of suppliers in the presence of undesirable factors
Abstract:
Assessing sustainability of suppliers and selecting the most sustainable supplier are the most important activities in sustainable supply chain management (SSCM). Data envelopment analysis (DEA) is frequently used to select suppliers. We extend range adjusted measure (RAM) model as one of the DEA models. We mix different models of RAM as well as cross-efficiency and assurance region methods when undesirable factors exist. Our model does not give zero results. This helps to incorporate all inputs and outputs in evaluating sustainability of suppliers. A real case study is provided.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 163-176
Issue: 2
Volume: 29
Year: 2018
Keywords: sustainable supplier selection; data envelopment analysis; DEA; range adjusted measure; RAM; cross-efficiency; assurance region; undesirable factors; supply chain management; SCM.
File-URL: http://www.inderscience.com/link.php?id=91898
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:163-176
Template-Type: ReDIF-Article 1.0
Author-Name: Parag Jafar Siddique
Author-X-Name-First: Parag Jafar
Author-X-Name-Last: Siddique
Author-Name: Huynh Trung Luong
Author-X-Name-First: Huynh Trung
Author-X-Name-Last: Luong
Author-Name: Muhammad Shafiq
Author-X-Name-First: Muhammad
Author-X-Name-Last: Shafiq
Title: An optimal joint maintenance and spare parts inventory model
Abstract:
Optimised maintenance of plant machineries is one of the important tasks to reduce plant operating cost. To carry out these maintenance tasks smoothly, development of spare parts inventory policy is the most prioritised issue. This research aims at the derivation of a joint maintenance and spare parts inventory model for a multi-component system. The decision variables are the order quantity and the ratio of ordering interval to preventive maintenance interval. We used block-based maintenance policy and periodic review inventory policy in this study. At first, a cost function is developed assuming that failure occurrences follow Poisson process with a constant failure rate and machine failures are non-repairable. Second, the model is further expanded for the case when failure occurrences follow non-homogeneous Poisson process and machine failures are repairable. The applicability of the developed models is demonstrated by numerical examples. Sensitivity analysis is also conducted to examine the effects of input parameters.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 177-192
Issue: 2
Volume: 29
Year: 2018
Keywords: maintenance; spare parts; block-based maintenance; periodic review inventory; non-homogeneous Poisson process; repairable system; non-repairable system.
File-URL: http://www.inderscience.com/link.php?id=91899
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:177-192
Template-Type: ReDIF-Article 1.0
Author-Name: P. Rajadurai
Author-X-Name-First: P.
Author-X-Name-Last: Rajadurai
Author-Name: M.C. Saravanarajan
Author-X-Name-First: M.C.
Author-X-Name-Last: Saravanarajan
Author-Name: V.M. Chandrasekaran
Author-X-Name-First: V.M.
Author-X-Name-Last: Chandrasekaran
Title: Cost optimisation analysis of retrial queue with K optional phases of service under multiple working vacations and random breakdowns
Abstract:
In this paper, we consider a cost optimisation analysis of M/G/1 retrial queue with k optional phases of service under multiple working vacations and vacation interruption, where each phase consists of an optional re-service. An arriving customer may balk the system at some particular times. When the orbit becomes empty at regular service completion instant, the server goes for a working vacation. During a working vacation period, the server works in lower service rate. The normal busy server may get to breakdown and the service channel will fail for a short interval of time. We analyse the steady state probability generating function for the system size by using the supplementary variable method. Some important system performance measures are obtained. Finally, some numerical examples and cost optimisation analysis are presented.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 193-222
Issue: 2
Volume: 29
Year: 2018
Keywords: retrial queue; re-service; multi phase service; multiple working vacations; vacation interruption.
File-URL: http://www.inderscience.com/link.php?id=91900
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:193-222
Template-Type: ReDIF-Article 1.0
Author-Name: Chandramani Upadhyay
Author-X-Name-First: Chandramani
Author-X-Name-Last: Upadhyay
Author-Name: Rahul
Author-X-Name-First:
Author-X-Name-Last: Rahul
Author-Name: Saurav Datta
Author-X-Name-First: Saurav
Author-X-Name-Last: Datta
Author-Name: Siba Sankar Mahapatra
Author-X-Name-First: Siba Sankar
Author-X-Name-Last: Mahapatra
Author-Name: Bibhuti Bhusan Biswal
Author-X-Name-First: Bibhuti Bhusan
Author-X-Name-Last: Biswal
Title: An experimental investigation on electro discharge machining of Inconel 601
Abstract:
The paper reports an experimental investigation on electro-discharge machining of Inconel 601 using copper electrode. Based on L<sub align="right"><small>27</small></sub> orthogonal array, experiments have been conducted by considering controllable process parameters: peak current, pulse-on-time, gap voltage, duty factor and flushing pressure. The following machining responses: material removal rate (MRR), electrode wear rate (EWR), roughness average (R<sub align="right"><small>a</small></sub>) and surface crack density (SCD) (developed on EDMed surface of Inconel 601) have been considered. Satisfaction function and distance-based approach (in conjugation with Taguchi method) has been proposed to select the most favourable parameters setting to satisfy optimised MRR, EWR, R<sub align="right"><small>a</small></sub> and SCD. Predicted optimal setting has been compared to that of obtained by grey-Taguchi approach. SEM micro-graphs have been analysed as well to infer important observations in terms of surface irregularities incurred on the end product of EDMed Inconel 601.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 223-251
Issue: 2
Volume: 29
Year: 2018
Keywords: electro-discharge machining; EDM; Inconel 601; orthogonal array; satisfaction function; Taguchi method; grey-Taguchi.
File-URL: http://www.inderscience.com/link.php?id=91901
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:223-251
Template-Type: ReDIF-Article 1.0
Author-Name: Charan Jeet Singh
Author-X-Name-First: Charan Jeet
Author-X-Name-Last: Singh
Author-Name: Binay Kumar
Author-X-Name-First: Binay
Author-X-Name-Last: Kumar
Author-Name: Sandeep Kaur
Author-X-Name-First: Sandeep
Author-X-Name-Last: Kaur
Title: MX/G/1 state dependent arrival queue with optional service and vacation under randomised policy
Abstract:
The present study deals with the performance analysis of a single server queues with state dependent arrival rates in batches. It is considerable that the units join the system for essential and optional services available in the system. The server can avail the at most <i>m</i>-vacations under randomised vacations policy. The system is analysed by using the supplementary variable technique with the assumptions of probability reasoning for study the steady state behaviour of the system and to obtain various performance indices of queue size distribution. The maximum entropy principle is used to find the approximate results of performance measures and comparative study of exact and approximate waiting times of the units is discussed. The numerical illustration is also carried out to facilitate the minimum cost for optimal parameters and validate the other results of the system.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 252-272
Issue: 2
Volume: 29
Year: 2018
Keywords: randomised vacation; optional service; supplementary variable; maximum entropy; queue size; cost.
File-URL: http://www.inderscience.com/link.php?id=91902
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:252-272
Template-Type: ReDIF-Article 1.0
Author-Name: Mohan Kumar Pradhan
Author-X-Name-First: Mohan Kumar
Author-X-Name-Last: Pradhan
Title: Optimisation of EDM process for MRR, TWR and radial overcut of D2 steel: a hybrid RSM-GRA and entropy weight-based TOPSIS approach
Abstract:
In this research, a distinct combination of response surface methodology (RSM), gray relational analysis (GRA) with Shannon's entropy measurement-based technique for order preference by similarity to ideal solution (TOPSIS) method has been suggested to assess, improve and estimate the influence of the process parameters on responses characteristics. The electrical discharge machining (EDM), parameters pulse current (<i>Ip</i>), pulse duration (<i>Ton</i>), duty cycle (<i>Tau</i>) and discharge voltage (<i>V</i>) were input, and, material removal rate (MRR), tool wear rate (TWR) and radial overcut or gap (G) were considered as output parameters. The <i>R</i><SUP align="right"><SMALL>2</SMALL></SUP> value for the relative closeness was found to be 96.83%. The ANOVA reveals that <i>Ip</i> is the most influencing parameter with 46.49% contribution followed by <i>Ton</i>, <i>Tau</i> and <i>V</i> with 13.92%, 7.35% and 2.8%, respectively. The interaction of parameters contributes 15.26%. This study can be used as a scientific source for parameter optimisation in concerned manufacturing processes.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 273-302
Issue: 3
Volume: 29
Year: 2018
Keywords: multi-criteria decision making; electrical discharge machining; EDM; material removal rate; MRR; tool wear rate; TWR; radial overcut or gap; response surface methodology; RSM; grey relational analysis; GRA; Shannons entropy; TOPSIS.
File-URL: http://www.inderscience.com/link.php?id=93047
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:273-302
Template-Type: ReDIF-Article 1.0
Author-Name: Eric Landquist
Author-X-Name-First: Eric
Author-X-Name-Last: Landquist
Author-Name: Curtis Reigle
Author-X-Name-First: Curtis
Author-X-Name-Last: Reigle
Author-Name: Francis J. Vasko
Author-X-Name-First: Francis J.
Author-X-Name-Last: Vasko
Title: A final note on the ones assignment method and its variants: they do not work
Abstract:
A recent paper presented a new algorithm, called the ones assignment method, for solving the assignment problem. This method is similar to the Hungarian method, but seeks to create, through division, ones in each row and column (instead of zeros as in the Hungarian method) of the assignment matrix. Subsequent steps are analogous to the Hungarian method. Several other researchers have suggested modifications to the ones assignment method in an effort to overcome flaws in the original method. In this brief paper, we provide a trivial assignment problem and show that neither the ones assignment method nor any of its variants are able to find the optimal solution to this problem which is obvious on inspection. We further argue that any further modifications to this or any similar method will likewise prove to be ineffective.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 405-412
Issue: 3
Volume: 29
Year: 2018
Keywords: assignment problem; Hungarian method; auction algorithm; ones assignment method; optimisation; linear programming; algorithm; sub-optimal; counterexample; additive strategy; multiplicative strategy.
File-URL: http://www.inderscience.com/link.php?id=93048
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:405-412
Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Saeid Atabaki
Author-X-Name-First: Mohammad Saeid
Author-X-Name-Last: Atabaki
Author-Name: Abolfazl Mirzazadeh
Author-X-Name-First: Abolfazl
Author-X-Name-Last: Mirzazadeh
Author-Name: Saeed Fazayeli
Author-X-Name-First: Saeed
Author-X-Name-Last: Fazayeli
Title: Price, production and order decisions in a one-manufacturer multi-retailer supply chain with fuzzy costs: two parameter tuned meta-heuristics
Abstract:
This paper develops a mixed integer nonlinear programming model of a one-manufacturer, multi-retailer, multi-period supply chain, where demands of retailers are affected by selling prices and learning curve is considered in production costs. Also, fuzzy concept is applied to cope with uncertainty of cost's parameters. Two meta-heuristic algorithms, namely genetic algorithm (GA) and invasive weed optimisation (IWO) are proposed to solve the model. With optimising parameters of the two meta-heuristics using Taguchi design of experiments, numerical examples showed that the proposed IWO has better performance in comparison with the GA. The IWO, then, is applied to solve the fuzzy model.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 303-337
Issue: 3
Volume: 29
Year: 2018
Keywords: supply chain; nonlinear; fuzzy; genetic algorithm; invasive weed optimisation; IWO; Taguchi.
File-URL: http://www.inderscience.com/link.php?id=93049
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:303-337
Template-Type: ReDIF-Article 1.0
Author-Name: Kai Huang
Author-X-Name-First: Kai
Author-X-Name-Last: Huang
Author-Name: Xiaoying Kong
Author-X-Name-First: Xiaoying
Author-X-Name-Last: Kong
Author-Name: Li Liu
Author-X-Name-First: Li
Author-X-Name-Last: Liu
Title: Analytical model of information system development productivity in adaptive and perfective maintenance phases
Abstract:
This paper presents an analytical model for information system (IS) maintenance productivity in adaptive and perfective phases. The modelling approach is from economic view point. The productivity model considers the economic value of the maintenance phase, pre-committed fixed cost and variable cost consumed in adaptive/perfective maintenance. Influence factors to the productivity are analysed using simulation. The simulation provides a tool for IS project managers to tune the project parameters to obtain the optimal productivity in adaptive/perfective maintenance phases.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 338-351
Issue: 3
Volume: 29
Year: 2018
Keywords: analytical model; economic model; maintenance; productivity; IS maintenance management; software engineering; simulation.
File-URL: http://www.inderscience.com/link.php?id=93050
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:338-351
Template-Type: ReDIF-Article 1.0
Author-Name: Huifang Liu
Author-X-Name-First: Huifang
Author-X-Name-Last: Liu
Author-Name: Xingwei Sun
Author-X-Name-First: Xingwei
Author-X-Name-Last: Sun
Author-Name: Quan Liang
Author-X-Name-First: Quan
Author-X-Name-Last: Liang
Author-Name: Yuqing Bo
Author-X-Name-First: Yuqing
Author-X-Name-Last: Bo
Title: Energy and magnetostriction analysis and nonlinear model of magnetostrictive actuator for precision drive
Abstract:
Magnetic hysteresis and eddy-current heating are the most significant disadvantages in giant magnetostrictive materials (GMM). And these properties have an effect on the displacement precision and other working performances of giant magnetostrictive actuator (GMA). To know and solve these above problems fundamentally, the key point is establishing a mathematical model which can describe magnetisation hysteresis process and energy loss characteristics for GMM and analysing the essential reason which causes hysteresis phenomenon. In this paper, on the basis of Armstrong theory and through analysing the composition of elastic Gibbs free energy, a nonlinear magnetisation and magnetostriction model is established. Experimental results show that this model can predict the magnetisation property, magnetostriction, magnetic potential orientation, energy loss characteristic and other working performance for GMM well. It is also able to describe the magnetostrictive elongation and output displacement for GMM rod and GMA respectively. Research results will provide a theoretical basis for solving magnetic hysteresis, working precision, and eddy current heating for GMA fundamentally.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 352-368
Issue: 3
Volume: 29
Year: 2018
Keywords: giant magnetostrictive actuator; GMA; model; magnetostriction; magnetic hysteresis.
File-URL: http://www.inderscience.com/link.php?id=93051
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:352-368
Template-Type: ReDIF-Article 1.0
Author-Name: Shweta Upadhyaya
Author-X-Name-First: Shweta
Author-X-Name-Last: Upadhyaya
Title: Performance analysis of a discrete-time Geo/G/1 retrial queue under J-vacation policy
Abstract:
We have investigated a discrete-time Geo/G/1 retrial queue under <i>J</i> vacation policy and general retrial times, which can be applicable to many digital systems, viz. broadband integrated services digital network (B-ISDN), asynchronous transfer mode (ATM) and circuit-switched time-division multiple access (TDMA) systems. In discrete-time systems, we consider time to be a discrete random variable and measure it in fixed size data units, such as machine cycle time, bits, bytes, packets, etc. The server follows <i>J</i> vacation policy according to which as soon as the retrial orbit becomes empty and no new customer arrives then the server may take at most <i>J</i> number of repeated vacations. The server immediately returns from the vacation if at least one customer arrives in the system. The inter arrival time is assumed to be geometrically distributed whereas retrial time, service time and vacation time are assumed to be generally distributed in the discrete environment. The underlying Markov process is analysed by using generating function method whereby we obtain various performance measures of interest. We provide stochastic decomposition laws for the system size of the developed model.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 369-388
Issue: 3
Volume: 29
Year: 2018
Keywords: discrete-time retrial queue; Bernoulli feedback; starting failure; J vacation policy; stochastic decomposition.
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:369-388
Template-Type: ReDIF-Article 1.0
Author-Name: Hanane Zermane
Author-X-Name-First: Hanane
Author-X-Name-Last: Zermane
Author-Name: Hayet Mouss
Author-X-Name-First: Hayet
Author-X-Name-Last: Mouss
Title: Fuzzy control of an industrial process system using internet and web services
Abstract:
This paper illustrates an internet-based fuzzy control system of complex industrial manufacturing, which is cement production. It ensures remote and fuzzy control of the process in real time in cement factories in Algeria. The remote control system contains several tasks, such as alarms diagnostic, e-maintenance and synchronising regulation loops, to guarantee the automated performance. To evolve the system, we propose firstly, fuzzy logic to control the cement mill workshop and ensure that the system is operational with minimal downtime. Secondly, we integrate internet technology to remote control via internet to secure human life and render it unnecessary for operators to be at site. When there is a breakdown, it is not necessary to send an expert to diagnose and solve problems. Therefore, the system reduces travel costs by sending reports and transmitting process data. Operators can execute and monitor the system according to authentication access in main control room or via internet.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 389-404
Issue: 3
Volume: 29
Year: 2018
Keywords: process control; data acquisition; fuzzy control; remote control; reports transmission; telecontrol; e-control; e-diagnostic; e-maintenance; manufacturing process; industrial engineering; SCADA.
File-URL: http://www.inderscience.com/link.php?id=93054
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:3:p:389-404
Template-Type: ReDIF-Article 1.0
Author-Name: Salih Aka
Author-X-Name-First: Salih
Author-X-Name-Last: Aka
Author-Name: Gökhan Akyüz
Author-X-Name-First: Gökhan
Author-X-Name-Last: Akyüz
Title: Fuzzy goal programming approach on location-routing model for waste containers
Abstract:
In this study, an application about determining the location of recyclable waste containers was executed in Siteler District part of Konyaaltı Municipality in Antalya, Turkey. For this problem, a location-routing model based on fuzzy goal programming was built. The aim of this study was to select optimal location nodes, which serve the maximum number of dwellings from candidate locations nodes and also, to create a minimum-distanced route between selected nodes. The containers of recyclable waste were located on optimal nodes of the route obtained by the mathematical model, which was run for different tolerance ranges and different priority structures.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 413-427
Issue: 4
Volume: 29
Year: 2018
Keywords: multi-objective location models; location-routing problems; fuzzy goal programming.
File-URL: http://www.inderscience.com/link.php?id=94265
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:4:p:413-427
Template-Type: ReDIF-Article 1.0
Author-Name: Ineen Sultana
Author-X-Name-First: Ineen
Author-X-Name-Last: Sultana
Author-Name: Imtiaz Ahmed
Author-X-Name-First: Imtiaz
Author-X-Name-Last: Ahmed
Author-Name: Abdullahil Azeem
Author-X-Name-First: Abdullahil
Author-X-Name-Last: Azeem
Author-Name: Nitish Ranjan Sarker
Author-X-Name-First: Nitish Ranjan
Author-X-Name-Last: Sarker
Title: Economic design of exponentially weighted moving average chart with variable sampling interval at fixed times scheme incorporating Taguchi loss function
Abstract:
A control chart is a graph used to study how process changes over time. The exponentially weighted moving average (EWMA) chart is highly useful for not only detecting small changes in process parameters but also in inspecting individual unit observations. The objective of this paper is to develop an economic statistical design of the exponentially weighted moving average (EWMA) chart using variable sampling interval at fixed times (VSIFT) control scheme considering preventive maintenance and Taguchi loss function to determine the values of the seven test parameters (i.e., the sample size, the fixed sampling interval, the number of subintervals between two consecutive sampling times, the warning limit coefficient, the control limit coefficient, exponential weight constant and the time interval of preventive maintenance) such that the expected total cost per hour is minimised. A mathematical model is developed to analyse the cost of the integrated model. Nelder-Mead downhill simplex method and genetic algorithm approaches are applied to search for the optimal values of the seven test parameters for the economic statistical design of VSIFT EWMA chart and Nelder-Mead downhill simplex performed better than genetic algorithm. A hypothetical example and its solution are provided to have a better understanding about the demonstration of the proposed model.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 428-452
Issue: 4
Volume: 29
Year: 2018
Keywords: EWMA control chart; VSIFT scheme; economic-statistical design; Taguchi loss function; preventive maintenance; Nelder-Mead downhill simplex method; genetic algorithm.
File-URL: http://www.inderscience.com/link.php?id=94266
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:4:p:428-452
Template-Type: ReDIF-Article 1.0
Author-Name: Jose Bernal
Author-X-Name-First: Jose
Author-X-Name-Last: Bernal
Author-Name: John Willmer Escobar
Author-X-Name-First: John Willmer
Author-X-Name-Last: Escobar
Author-Name: Juan Camilo Paz
Author-X-Name-First: Juan Camilo
Author-X-Name-Last: Paz
Author-Name: Rodrigo Linfati
Author-X-Name-First: Rodrigo
Author-X-Name-Last: Linfati
Author-Name: Gustavo Gatica
Author-X-Name-First: Gustavo
Author-X-Name-Last: Gatica
Title: A probabilistic granular tabu search for the distance constrained capacitated vehicle routing problem
Abstract:
We address the well-known distance constrained capacitated vehicle routing problem (DCVRP) by considering Euclidean distances, in which the aim is to determine the routes to be performed to fulfil the demand of the customers by using a homogeneous fleet. The objective is to minimise the sum of the variable costs associated with the distance travelled by the performed routes. In this paper, we propose a metaheuristic algorithm based on a probabilistic granular tabu search (pGTS) by considering different neighbourhoods. In particular, the proposed algorithm selects a neighbourhood by using a probabilistic discrete function, which is modified dynamically during the search by favouring the moves that have improved the best solution found so far. A shaking procedure is applied whenever the best solution found so far is not improved for a given number of iterations. Computational experiments on benchmark instances taken from the literature show that the proposed approach is able to obtain high quality solutions, within short computing times.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 453-477
Issue: 4
Volume: 29
Year: 2018
Keywords: probabilistic granular tabu search; pGTS; distance constrained capacitated vehicle routing problem; DCVRP; metaheuristic algorithms; vehicle routing problems; VRPs.
File-URL: http://www.inderscience.com/link.php?id=94267
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:4:p:453-477
Template-Type: ReDIF-Article 1.0
Author-Name: YangBeibei Ji
Author-X-Name-First: YangBeibei
Author-X-Name-Last: Ji
Author-Name: Wanjing Ma
Author-X-Name-First: Wanjing
Author-X-Name-Last: Ma
Author-Name: Shu-yang Zhang
Author-X-Name-First: Shu-yang
Author-X-Name-Last: Zhang
Title: Empirical analysis of bus travel time reliability: a case study in Shanghai
Abstract:
Travel time reliability is one of the most important indications of quality of service in bus systems. The automatic vehicle location (AVL) data of two typical bus routes in Shanghai are used to analyse bus travel time reliability. One bus line is in urban area and the other is in suburban area. Five reliability indices are used to capture the various characteristics of bus travel time fluctuations, which are planning time, buffer time, buffer time index, punctuality index based on routes and deviation index based on stops. The results indicates that peak hours have more obvious impact on travel time reliability and longer distance between adjacent stops causes higher buffer time at off peak hours. A bus in suburban area has more stable travel time than a bus in urban area. The travel time reliability control measures are suggested at the end.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 478-493
Issue: 4
Volume: 29
Year: 2018
Keywords: bus travel time; travel time reliability; bus stops; automatic vehicle location data; China.
File-URL: http://www.inderscience.com/link.php?id=94268
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:4:p:478-493
Template-Type: ReDIF-Article 1.0
Author-Name: Arash Apornak
Author-X-Name-First: Arash
Author-X-Name-Last: Apornak
Author-Name: Sadigh Raissi
Author-X-Name-First: Sadigh
Author-X-Name-Last: Raissi
Author-Name: Mehrdad Javadi
Author-X-Name-First: Mehrdad
Author-X-Name-Last: Javadi
Author-Name: Neda Ahmadizadeh-Tourzani
Author-X-Name-First: Neda
Author-X-Name-Last: Ahmadizadeh-Tourzani
Author-Name: Ahmad Kazem
Author-X-Name-First: Ahmad
Author-X-Name-Last: Kazem
Title: A simulation-based multi-objective optimisation approach in flexible manufacturing system planning
Abstract:
In this paper, an attempt has been made to address the optimum set of queues capacity, queues discipline, conveyors and transporter's speed and operational setup times in a common flexible manufacturing system (FMS) with objectives of minimisation of average stay time in queues and maximisation of throughput simultaneously. Analysis of such issues, especially when the objective functions cannot be described in mathematical terms is a complex task is focused in this paper. Here the mean of five objective functions estimated by fitness functions extracted experimentally using 36 scenarios on a valid computer simulation model. Under equal weights, the exact solution attained by the Lingo software and optimum process setting was achieved. The applicability of the new approach is ascertained through a case study involving the optimisation of real engineering system and presented using the proposed approach.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 494-506
Issue: 4
Volume: 29
Year: 2018
Keywords: design of experiment; DOE; response surface modelling; RSM; multi-objective optimisation problem; MOP; flexible manufacturing system; FMS; simulation.
File-URL: http://www.inderscience.com/link.php?id=94269
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:4:p:494-506
Template-Type: ReDIF-Article 1.0
Author-Name: Umacharan Singh Yadav
Author-X-Name-First: Umacharan Singh
Author-X-Name-Last: Yadav
Author-Name: Vinod Yadava
Author-X-Name-First: Vinod
Author-X-Name-Last: Yadava
Title: Modelling and optimisation of process parameters of electrical discharge diamond drilling of nimonic alloy - an aerospace material
Abstract:
This paper describes the development of a new process termed as electro-discharge diamond drilling (EDDD) for making the holes in difficult-to-cut aerospace materials and validated with the newly developed hybrid approach of models for material removal rate (MRR), average surface roughness (Ra), and average circularity (Ca). The developed model consist of Taguchi methodology (TM) coupled with response surface methodology (RSM) and has been termed as TMRSM. The model correlates the effects of interactions as well as of higher order of considered input parameters of tool electrode rpm, gap current, pulse-on time and duty factor. Thereafter, multi-objective optimisation (MOO) of the EDDD parameters has been done with the combination of grey relational analysis (GRA) and principal component analysis (PCA) methodology and termed it as GRAPCA. The used hybrid EDDD process of machining along with using the hybrid approach of TMRSM as well as GRAPCA methodology for modelling and MOO is successful.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 507-532
Issue: 4
Volume: 29
Year: 2018
Keywords: electrical discharge machining; electrical discharge diamond drilling; grey relational analysis; principal component analysis; PCA; response surface methodology; RSM; Taguchi methodology.
File-URL: http://www.inderscience.com/link.php?id=94270
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:4:p:507-532
Template-Type: ReDIF-Article 1.0
Author-Name: Katarína Čulková
Author-X-Name-First: Katarína
Author-X-Name-Last: Čulková
Author-Name: Erik Weiss
Author-X-Name-First: Erik
Author-X-Name-Last: Weiss
Author-Name: Andrea Rosová
Author-X-Name-First: Andrea
Author-X-Name-Last: Rosová
Author-Name: Roland Weiss
Author-X-Name-First: Roland
Author-X-Name-Last: Weiss
Title: Application of logistics principles in management of travel agency
Abstract:
The contribution is focused on the application of logistic management algorithms for travel agency sector. In the introduction the contribution explains the current state of the problem. As a methodology there is flash analysis, systems analysis and micro logistics analysis. The flash analysis points to the current position of the company on the local market, localisation, its products, customers, competitors, mission, vision and strategic goals for the future. System analysis shows ongoing systems in the company. Results of the contribution show to algorithms of major processes in the company and micro logistic model of the company. As a result of contribution measures are proposed, as for example a new website, modern reservation system and booking-accounting system.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 533-546
Issue: 4
Volume: 29
Year: 2018
Keywords: travel agency; algorithm; flash analysis; system analysis; micro logistic model of the company; Slovakia.
File-URL: http://www.inderscience.com/link.php?id=94271
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Handle: RePEc:ids:ijisen:v:29:y:2018:i:4:p:533-546
Template-Type: ReDIF-Article 1.0
Author-Name: Chia-Jung Chang
Author-X-Name-First: Chia-Jung
Author-X-Name-Last: Chang
Author-Name: Jau-Chuan Ke
Author-X-Name-First: Jau-Chuan
Author-X-Name-Last: Ke
Author-Name: Fu-Min Chang
Author-X-Name-First: Fu-Min
Author-X-Name-Last: Chang
Title: Unreliable retrial queue with loss and feedback under threshold-based policy
Abstract:
This paper considers an M/M/1 unreliable retrial queueing system with geometric loss and feedback under the threshold-based policy. After the customer is served completely, he may decide either to leave the system or to join the retrial orbit again for another service. If the server is found busy, the customer may either leave the system or join the retrial orbit. The server may be broken down at any time during the server is operating. When the server is broken down, it cannot be repaired immediately until the number of customers in the system reaches a specified threshold value. This system is modelled by a quasi-birth-and-death process, and some system performance measures are derived. The formulae for computing the rate matrix and stationary probabilities are derived by means of matrix-analytical approach. We obtain the optimal threshold value and the optimal service rate simultaneously to minimise the cost function of the system.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-20
Issue: 1
Volume: 30
Year: 2018
Keywords: retrial queue; quasi-birth-and-death; QBD; matrix-analytical.
File-URL: http://www.inderscience.com/link.php?id=94608
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:1:p:1-20
Template-Type: ReDIF-Article 1.0
Author-Name: Mohammed Shurrab
Author-X-Name-First: Mohammed
Author-X-Name-Last: Shurrab
Author-Name: Abbas Al-Refaie
Author-X-Name-First: Abbas
Author-X-Name-Last: Al-Refaie
Author-Name: Nabeel Mandahawi
Author-X-Name-First: Nabeel
Author-X-Name-Last: Mandahawi
Author-Name: Shorouq Shurrab
Author-X-Name-First: Shorouq
Author-X-Name-Last: Shurrab
Title: A decision-making using data envelopment aggressive formulation and theory of constraints to enhance the PVC production line performance
Abstract:
Bottlenecks and system's productivity are interrelated domains such that small changes in the bottlenecks could have a huge effect on the system's productivity. This research expounds a managerial case study combined a data envelopment analysis (DEA) with the theory of constraints (TOC) to a polyvinyl chloride (PVC) pipes' production line. Four scenarios were applied to break the bottleneck constraint. DEA was utilised to recognise the optimal solution and make a proper decision. Upgrading the constraint, which was the last resort of TOC implementation, was the optimal solution. The deliverable of this solution was a significant performance improvement to break the constraint in the production line. Although the optimal solution increased the incurred cost by 20%, it enhanced the number of the PVC pipes that are produced annually by 21%, increased the line throughput from 0.3 pipe/min to 1.15 pipe/min, and increased the system utilisation by 19%.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 21-39
Issue: 1
Volume: 30
Year: 2018
Keywords: theory of constraints; TOC; simulation and bottleneck analysis; data envelopment analysis; DEA; process-based costing; PBC; decision-making; PVC pipes.
File-URL: http://www.inderscience.com/link.php?id=94609
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:1:p:21-39
Template-Type: ReDIF-Article 1.0
Author-Name: Shahed Mahmud
Author-X-Name-First: Shahed
Author-X-Name-Last: Mahmud
Author-Name: Md. Sanowar Hossain
Author-X-Name-First: Md. Sanowar
Author-X-Name-Last: Hossain
Author-Name: Md. Mosharraf Hossain
Author-X-Name-First: Md. Mosharraf
Author-X-Name-Last: Hossain
Title: Application of multi-objective genetic algorithm to aggregate production planning in a possibilistic environment
Abstract:
The present study is to develop an interactive possibilistic environment-based genetic algorithm for multi-product and multi-period aggregate production planning (APP). APP is the prerequisite in order to make material requirement planning and/or capacity requirement planning accurately. The present study attempts to minimise the production cost and the rate of changing in labour level where production costs, backordering cost, labour level changing cost, demand are considered as imprecise parameters. It is noted that all these imprecise parameters are defined by the triangular possibility distribution. As the overtime production capacity is the fraction of available regular time production capacity, it is defined separately to make the result more acceptable. The proposed methodology is finally applied to demonstrate an industrial case in order to justify the feasibility. The solution obtained by the proposed methodology is compared with other solutions in context with computation efficiency and solution practicability.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 40-59
Issue: 1
Volume: 30
Year: 2018
Keywords: aggregate production planning; APP; imprecise parameters; possibilistic environment; practicability; multi-objective genetic algorithm; MOGA.
File-URL: http://www.inderscience.com/link.php?id=94610
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:1:p:40-59
Template-Type: ReDIF-Article 1.0
Author-Name: Ali Namazian
Author-X-Name-First: Ali
Author-X-Name-Last: Namazian
Author-Name: Masoud Ghodsi
Author-X-Name-First: Masoud
Author-X-Name-Last: Ghodsi
Author-Name: Khaled Nawaser
Author-X-Name-First: Khaled
Author-X-Name-Last: Nawaser
Title: Prediction of temperature variations using artificial neural networks and ARIMA model
Abstract:
Hydrological processes modelling is difficult but an important affair. These processes are caused by the parameters' interaction effects for which the large number of parameters and also their interactions lead to a complicated system. To design water resource systems, it is needed to predict the hydrological factors such as temperature, river's flow, quantity of rainfall and air humidity based on the historical data in configuration of time and place series. Time series analysis is a mostly used prediction method, which is based on the stationarity and linearity assumptions. Artificial neural network is another prediction method which has shown its performance and reliability for the time series prediction. In this paper, the efficiency of two prediction methods, namely auto regressive integrated moving average (ARIMA) and artificial neural networks (ANNs) are compared with each other based on the prediction of temperature variations of Gorgan city in Iran, between 1970 to 2010. The results indicated that the ARIMA method provides better estimates than the ANN method.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 60-77
Issue: 1
Volume: 30
Year: 2018
Keywords: temperature prediction; time series analysis; artificial neural networks; ANNs; auto regressive integrated moving average; ARIMA.
File-URL: http://www.inderscience.com/link.php?id=94611
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:1:p:60-77
Template-Type: ReDIF-Article 1.0
Author-Name: Panagiotis Tsarouhas
Author-X-Name-First: Panagiotis
Author-X-Name-Last: Tsarouhas
Author-Name: Maria Makrygianni
Author-X-Name-First: Maria
Author-X-Name-Last: Makrygianni
Author-Name: George J. Besseris
Author-X-Name-First: George J.
Author-X-Name-Last: Besseris
Title: Combat readiness evaluation of a fighter-jet using reliability and cluster analysis
Abstract:
We perform reliability analysis on a fourth generation fighter aircraft by taking into consideration its real flight conditions. The collection of the actual failure data was extended over a period of three years. Furthermore, the reliability function, the probability density function, the hazard function were estimated. The time between failures for all aircraft subsystems was evaluated. It was found that half of the failures were attributed to the engine, fuel, and electrical power subsystems. Overall, engine failures were more frequent and thus a quality analysis was undertaken. Commonalities of failure parameters were identified with a cluster analysis and were grouped in a dendrogram. Future research should look to further develop this concept for the evaluation of other types of military or civilian airplanes. This study may encourage air unit technical personnel to introduce a new combo problem-solving approach to systematically remove jet reliability blockers.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 78-102
Issue: 1
Volume: 30
Year: 2018
Keywords: reliability; statistical analysis; failure data; fighter aircraft; cluster analysis.
File-URL: http://www.inderscience.com/link.php?id=94612
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:1:p:78-102
Template-Type: ReDIF-Article 1.0
Author-Name: Ehsan Pourjavad
Author-X-Name-First: Ehsan
Author-X-Name-Last: Pourjavad
Author-Name: Rene V. Mayorga
Author-X-Name-First: Rene V.
Author-X-Name-Last: Mayorga
Title: Using a fuzzy MCDM approach to measure project complexity: a case study
Abstract:
Project complexity is considered as one of main factors of modern project management and should be better understood, analysed and measured. However, empirical studies related to the evaluation of project complexity are lacking. In this paper, four complexity criteria, project size, project variety, project interdependency, and project context-dependence are recognised for assessment of projects. Also, a fuzzy analytical hierarchy process (FAHP) is proposed to investigate the project complexity according to complexity criteria. The proposed model facilitates a consensus for decision-makers and reduces uncertainty. The application of the proposed approach is demonstrated in a case study of five projects performed by a company. The results reveal the usefulness of the proposed model in evaluating the project complexity in terms of complexity criteria. The findings also indicate the project variety and the project interdependency criteria have the highest impact on complexity of projects.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 103-124
Issue: 1
Volume: 30
Year: 2018
Keywords: project complexity; fuzzy analytical hierarchy process; FAHP; criteria; evaluation.
File-URL: http://www.inderscience.com/link.php?id=94613
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:1:p:103-124
Template-Type: ReDIF-Article 1.0
Author-Name: Xiaohong Lu
Author-X-Name-First: Xiaohong
Author-X-Name-Last: Lu
Author-Name: Song Wang
Author-X-Name-First: Song
Author-X-Name-Last: Wang
Author-Name: Shasha Wang
Author-X-Name-First: Shasha
Author-X-Name-Last: Wang
Author-Name: Lusi Gao
Author-X-Name-First: Lusi
Author-X-Name-Last: Gao
Author-Name: Likun Si
Author-X-Name-First: Likun
Author-X-Name-Last: Si
Title: The process flow optimisation of crankshaft machining considering production logistics
Abstract:
In this paper, a typical crankshaft machining of piston compressor is taken as the research object. Based on system handing analysis (SHA), according to a series of problems existed in current actual production process, such as excessive materials handling time, work in process (WIP) overstock, unreasonable production layout, low utilisation rate of equipment, high labour cost, etc.., the process flow diagram method is adopted to research processing, handling, parking, waiting and checking processes in crankshaft production logistics. Reliable optimisation of the production process is achieved via collection and analyses of time data in process flow. Through the researches on process flow optimisation of crankshaft machining considering production logistics, the unreasonable processing technology of the crankshaft production and processing workshop is changed; through detailed analyses and optimisation, process flow time of crankshaft production and processing is saved, the production efficiency is improved and the cost is reduced. The work done in this paper can provide reference for other products in process flow optimisation of machining.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 125-137
Issue: 2
Volume: 30
Year: 2018
Keywords: production logistics; crankshaft machining; process flow diagram method; optimisation; system handling analysis; SHA.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:125-137
Template-Type: ReDIF-Article 1.0
Author-Name: Yassine Bensafia
Author-X-Name-First: Yassine
Author-X-Name-Last: Bensafia
Author-Name: Samir Ladaci
Author-X-Name-First: Samir
Author-X-Name-Last: Ladaci
Author-Name: Khatir Khettab
Author-X-Name-First: Khatir
Author-X-Name-Last: Khettab
Author-Name: Ahmed Chemori
Author-X-Name-First: Ahmed
Author-X-Name-Last: Chemori
Title: Fractional order model reference adaptive control for SCARA robot trajectory tracking
Abstract:
This paper proposes a new control strategy to the problem of trajectory tracking of SCARA robotic manipulator system by using a fractional order model reference adaptive controller (FMRAC) for sufficiently smooth trajectories. Over the few last years the idea of introducing fractional calculus and systems in adaptive control has found a great interest, for the benefits one can win in the performances given by such systems. The main contribution of this paper, is to show that the proposed fractional adaptive controller is able to reduce the delay time and the overshoot existing in classical control approach. Simulation results illustrate the effectiveness of the proposed control approach comparatively to the classical integer order one.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 138-156
Issue: 2
Volume: 30
Year: 2018
Keywords: fractional adaptive control; model reference adaptive control; MRAC; SCARA robot; trajectory tracking; approximation methods.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:138-156
Template-Type: ReDIF-Article 1.0
Author-Name: Leyla Fazli
Author-X-Name-First: Leyla
Author-X-Name-Last: Fazli
Title: Supplier selection using improved input efficiency profiling with common set of weights model
Abstract:
The cost of the materials, parts and services received from outside constitutes the major cost of a product production. In such situations, purchasing departments can play a key and basic role in expenses reduction. The best suppliers' selection is one of the most important and basic duties of purchasing departments because of the basic role of suppliers' performance on quality, cost, delivery and service, etc. Therefore, the use of accurate and efficient techniques to select the best suppliers is out of question. Hence in this study, a new prototype evaluation model called improved input efficiency profiling with common set of weights (IIEPCSW) model is presented that provides a logical, reliable, consistent and efficient procedure to evaluate the potential suppliers of an item and select the best supplier (single sourcing) under certain circumstance in single period. This model is a hybrid model based on input efficiency profiling (IEP) model that improves the performance of IEP model and removes its shortages. Also, by validation is shown that IIEPCSW model is efficient and valid.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 157-177
Issue: 2
Volume: 30
Year: 2018
Keywords: suppliers selection; single sourcing; single period; certain circumstance; IIEPCSW model; IEP model.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:157-177
Template-Type: ReDIF-Article 1.0
Author-Name: Mayank Verma
Author-X-Name-First: Mayank
Author-X-Name-Last: Verma
Author-Name: R.R.K. Sharma
Author-X-Name-First: R.R.K.
Author-X-Name-Last: Sharma
Title: A novel approach based on relaxation and reduction to solve the capacitated lot sizing problem
Abstract:
Capacitated lot sizing problem (CLSP) finds its applications in manufacturing, production as-well-as process industries. Typical size of the real life problems is much larger compared to the sizes that can be handled by commercial solvers, as CLSP is an NP-hard problem. Researchers have attempted different variants of CLSP in last few decades and provided many classical, exact, heuristic and metaheuristic solution approaches. In this paper, we attempt to solve the multi item capacitated dynamic lot sizing problem with backorders and setup times (CLSPBS). We apply Lagrangian relaxation on the material balance constraint, to reduce the problem into several single constraint continuous knapsack problems with upper bound on the real variables. Bounded variable linear program determines the values of real variables. For the negative or positive value of coefficients in the Lagrangian function, we fix the setup variables at zero or one respectively. Thus, the reduced problem is solved in polynomial time, as the main effort required is only sorting of numbers. We use the set up variable that are at one, to develop yet another good upper bound. Branch-and-bound procedure benefits immensely by using these bounds to make a warm start.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 178-192
Issue: 2
Volume: 30
Year: 2018
Keywords: capacitated lot sizing; CLSP; Lagrangian; bounded variable linear program; BVLP; continuous knapsack problem; branch-and-bound.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:178-192
Template-Type: ReDIF-Article 1.0
Author-Name: Youssef Harrath
Author-X-Name-First: Youssef
Author-X-Name-Last: Harrath
Author-Name: Jihene Kaabi
Author-X-Name-First: Jihene
Author-X-Name-Last: Kaabi
Title: New heuristic to generate an initial basic feasible solution for the balanced transportation problem
Abstract:
This paper studied the balanced transportation problem. Many algorithms were developed to solve optimally this problem. The most commonly used method is the modified distribution method (MODI). The MODI algorithm starts by generating an initial basic feasible solution using the northwest corner method (NCM). In general, the cost of the initial basic feasible solution generated by NCM is too high and far away from the optimal cost. For this reason, we propose in this paper a new method to generate an initial basic feasible solution to the balanced transportation problem to solve this issue. This method, named Global Minimum Method (GMM), was tested and compared with the NCM, the minimum cost method (MCM), the Vogel's approximation method (VAM), and the optimal cost obtained by MODI. The computational results proved that the new heuristic is promising for small size instances and outperforms all other methods for big size problems.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 193-204
Issue: 2
Volume: 30
Year: 2018
Keywords: linear programming; LP; transportation problem; basic feasible solution.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:193-204
Template-Type: ReDIF-Article 1.0
Author-Name: Jiufu Liu
Author-X-Name-First: Jiufu
Author-X-Name-Last: Liu
Author-Name: Zaihong Zhou
Author-X-Name-First: Zaihong
Author-X-Name-Last: Zhou
Author-Name: Zhisheng Wang
Author-X-Name-First: Zhisheng
Author-X-Name-Last: Wang
Title: Online fault diagnosis in partially observed Petri nets
Abstract:
This paper investigates the fault detection problem for discrete event systems (DES) which can be modelled by partially observed Petri nets (POPN). To overcome the problem of low diagnosability in the POPN online fault diagnoser in current use, we propose an improved online fault diagnosis algorithm that integrates generalised mutual exclusion constraints (GMEC) and integer linear programming (ILP). We assume that the POPN structure and its initial markings are known, and the faults are modelled as unobservable transitions. First, the event sequence is observed and recorded. Then, the ILP problem of POPN is solved for elementary diagnosis of the system behaviour. While this system diagnoses that some faults may have happened, we also use GMEC for further diagnosis. Finally, we modelled and analysed an example of a real DES to test the new fault diagnoser. The proposed algorithm increased the diagnosability of the DES remarkably, and the effectiveness of the new algorithm integrating GMEC and ILP was verified.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 205-218
Issue: 2
Volume: 30
Year: 2018
Keywords: fault diagnosis; partially observed Petri nets; POPN; integer linear programming; ILP; generalised mutual exclusion constraints; GMEC.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:205-218
Template-Type: ReDIF-Article 1.0
Author-Name: Omid Rahmani
Author-X-Name-First: Omid
Author-X-Name-Last: Rahmani
Author-Name: Bahman Naderi
Author-X-Name-First: Bahman
Author-X-Name-Last: Naderi
Author-Name: Mohammad Mohammadi
Author-X-Name-First: Mohammad
Author-X-Name-Last: Mohammadi
Author-Name: Mehrdad Nouri Koupaei
Author-X-Name-First: Mehrdad Nouri
Author-X-Name-Last: Koupaei
Title: A novel genetic algorithm for the maximum coverage problem in the three-level supply chain network
Abstract:
The maximum coverage problem is one of the most functional location issues. Nowadays, organisations are seeking to increase profits and one of the competitive advantages for organisations is efficient and effective designing of supply chain network. On the other hand, given the importance of distribution planning among the levels of supply chain, vehicle routing problem needs to be explored which leads to a significant reduction in costs of supply chain network. The purpose of this research is designing a supply chain network that includes the supply, distribution centres and retailers. It should be noted that the coverage radius is defined for all distribution centres and distribution centres gives any services to retailers that is within the actual coverage. Also, this service is done on routing. Since that the classical vehicle routing problem is NP-hard, to solve the problem in small and medium sizes, we used the GAMS software. Next, genetic algorithms and simulated annealing is used to solve the problem in large size. Finally, the results have been evaluated.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 219-236
Issue: 2
Volume: 30
Year: 2018
Keywords: the maximum coverage problem; three-level supply chain network; genetic algorithm; simulated annealing.
File-URL: http://www.inderscience.com/link.php?id=94844
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:219-236
Template-Type: ReDIF-Article 1.0
Author-Name: Devarasan Ezhilmaran
Author-X-Name-First: Devarasan
Author-X-Name-Last: Ezhilmaran
Author-Name: Manickam Adhiyaman
Author-X-Name-First: Manickam
Author-X-Name-Last: Adhiyaman
Title: Soft computing method for minutiae-based fingerprint authentication
Abstract:
In this paper, the fingerprint authentication is obtained by using fuzzy logic system, which is based on bell shaped intuitionistic fuzzy number. The minutiae points extracted from fingerprint images which are treated as a fuzzy number. The important of the proposed work is to find out the two identical fingerprint images based on minutiae points, from these selects the optimal set and reduce the error points between the images using fuzzy logic system. The fuzzy system provides an adequate description of the proposed algorithm. The uniqueness of this process is consisting of a smaller number of calculations better than previous methods.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 237-252
Issue: 2
Volume: 30
Year: 2018
Keywords: biometric; fingerprint; minutiae extraction; fuzzy logic; intuitionistic fuzzy number; authentication system.
File-URL: http://www.inderscience.com/link.php?id=94845
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:237-252
Template-Type: ReDIF-Article 1.0
Author-Name: Arash Shahin
Author-X-Name-First: Arash
Author-X-Name-Last: Shahin
Author-Name: Saeede Jokar
Author-X-Name-First: Saeede
Author-X-Name-Last: Jokar
Title: Investigating the application of meta-heuristic algorithms in optimising opportunistic maintenance: an exploratory study
Abstract:
Opportunistic maintenance is very effective in optimising the existing costs of production. The aim of this article is to optimise opportunistic maintenance. For this purpose, based on an example, various methods such as genetic algorithm, imperialist competition algorithm, simulated annealing algorithm, artificial bee colony algorithm and particle swarm algorithm have been considered for solving the problem and the approaches have been compared to find the most cost effective approach. Findings imply that the imperialist competition algorithm is the most suitable solution.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 253-265
Issue: 2
Volume: 30
Year: 2018
Keywords: opportunistic maintenance; optimisation; imperialist competition algorithm; simulated annealing algorithm; genetic algorithm; artificial bees colony algorithm; particle swarm algorithm.
File-URL: http://www.inderscience.com/link.php?id=94846
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:2:p:253-265
Template-Type: ReDIF-Article 1.0
Author-Name: Mahnaz Mohebalizadeh
Author-X-Name-First: Mahnaz
Author-X-Name-Last: Mohebalizadeh
Author-Name: Ashkan Hafezalkotob
Author-X-Name-First: Ashkan
Author-X-Name-Last: Hafezalkotob
Title: Modelling sustainable supply chain management problem with fuzzy demand based on multi-criteria decision making methods
Abstract:
Nowadays, environmental issues are playing a significant role in our real lives and need to be taken into account in many decision-making problems. In order to incorporate environmental concerns into supply chain management problem as one of the most important decision-making problems, a new sustainable supply chain model is developed in this paper in which collection/inspection, recycling and returning unsatisfying and end-of-life products are examined in an uncertain environment. In this regard, a multi-objective mixed integer linear programming model with fuzzy demand parameter is proposed in which the flows through the sustainable supply chain network and facilities locations are determined in such a way that four objective functions are optimised including minimising total cost, minimising energy consumption, maximising number of jobs, and minimising delivery time. Using modified fuzzy parametric programming (MFPP) and weighted metrics method as the solution procedure to solve the developed model, it is implemented on a real case study to demonstrate its capabilities in a practical context.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 267-297
Issue: 3
Volume: 30
Year: 2018
Keywords: sustainable supply chain; sustainable development; multi objective problem; fuzzy TOPSIS; fuzzy programming.
File-URL: http://www.inderscience.com/link.php?id=95527
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:3:p:267-297
Template-Type: ReDIF-Article 1.0
Author-Name: Anshuman Kumar
Author-X-Name-First: Anshuman
Author-X-Name-Last: Kumar
Author-Name: Kumar Abhishek
Author-X-Name-First: Kumar
Author-X-Name-Last: Abhishek
Title: Influence of process parameters on MRR, kerf width and surface roughness during WEDM on Inconel 718: performance analysis of electrode tool material
Abstract:
In the present study, an attempt has been made to study the performance of (brass wire electrode and zinc coated brass wire electrode) wire electrodes in relation to material removal rate (MRR), kerf width and surface roughness of machined Inconel 718 obtained by wire electro discharge machining (WEDM) process. Experiments have been conducted using L<SUB align="right"><SMALL>16</SMALL></SUB> orthogonal array with two different types of wire electrodes and by tuning following controllable process parameters; discharge current, flushing pressure, wire tension, and pulse-on time. It has been observed that zinc coated brass wire produces lesser kerf width as well as surface roughness; higher MRR as compared to brass wire electrode. The pulse-on time is found to be the most significant factor on influencing MRR for all electrodes types. Pulse-on time and discharge current is found to be very significant on affecting kerf width for all electrodes types finally, Grey-Taguchi relational analysis have been adopted to establish the optimal parametric combination for both the wire electrode.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 298-315
Issue: 3
Volume: 30
Year: 2018
Keywords: material removal rate; MRR; kerf width; surface roughness; Inconel 718; wire electro discharge machining; WEDM; grey-Taguchi.
File-URL: http://www.inderscience.com/link.php?id=95528
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:3:p:298-315
Template-Type: ReDIF-Article 1.0
Author-Name: Abdessamad Abdelhedi
Author-X-Name-First: Abdessamad
Author-X-Name-Last: Abdelhedi
Author-Name: Wided Saadi
Author-X-Name-First: Wided
Author-X-Name-Last: Saadi
Author-Name: Driss Boutat
Author-X-Name-First: Driss
Author-X-Name-Last: Boutat
Author-Name: Lassaad Sbita
Author-X-Name-First: Lassaad
Author-X-Name-Last: Sbita
Title: Lin-Sontag and common Lyapunov functions for stabilising control of a switched nonlinear systems
Abstract:
This work presents a control of switched nonlinear systems. The approach is based on stabilisation by using control Lyapunov functions. A necessary and sufficient condition for stabilisation based on the existence of a common Lyapunov control function for switching subsystems is presented for the first time. Secondly, a stabilisation control device is designed for nonlinear switching system using the theory of common Lyapunov function and state feedback control of Lin-Sontag. Finally, this proposed approach is illustrated on the example of a switched reactor.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 316-328
Issue: 3
Volume: 30
Year: 2018
Keywords: switched systems; stabilisation; control; Lyapunov functions; reactor.
File-URL: http://www.inderscience.com/link.php?id=95529
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:3:p:316-328
Template-Type: ReDIF-Article 1.0
Author-Name: Yu-Jen Lin
Author-X-Name-First: Yu-Jen
Author-X-Name-Last: Lin
Author-Name: Shwu-Huey Lin
Author-X-Name-First: Shwu-Huey
Author-X-Name-Last: Lin
Title: The influence of different quantity discounts on integrated supplier-retailer inventory model
Abstract:
This paper investigates an integrated inventory model with defective items where the supplier will offer different quantity discounts to the retailer by different defective rate. We consider the supplier has to offer all-units quantity discount to retailer, as the retailer inspects the receiving items are too highly defective rate. Otherwise, the supplier offers price-break quantities discount to the retailer. Our objective is to determine the optimal order quantity of the retailer and the optimal number of shipment per production run from the supplier to the retailer, so that the joint total profit has a maximum value. An algorithm is developed to find the optimal solution. Two examples are provided to illustrate the theoretical results, and the management insight is presented to demonstrate from the numerical examples.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 329-345
Issue: 3
Volume: 30
Year: 2018
Keywords: integrated inventory system; quantity discount; defective items.
File-URL: http://www.inderscience.com/link.php?id=95530
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:3:p:329-345
Template-Type: ReDIF-Article 1.0
Author-Name: Atousa Zarindast
Author-X-Name-First: Atousa
Author-X-Name-Last: Zarindast
Author-Name: Seyed Mohamad Seyed Hosseini
Author-X-Name-First: Seyed Mohamad Seyed
Author-X-Name-Last: Hosseini
Author-Name: Mir Saman Pishvaee
Author-X-Name-First: Mir Saman
Author-X-Name-Last: Pishvaee
Title: A robust possibilistic programming model for simultaneous decision of inventory lot-size, supplier selection and transportation mode selection
Abstract:
As a result of the uncertain changes in global currencies, exchange rates have become a critical part of suppliers' selection problem. In the present paper the problem of supplier, transportation mode selection and inventory replenishment decision (STSI) in the presence of uncertain changes of currency exchange rates and price discounts have been studied. The present article addresses the STSI problem for a buyer sourcing a product from heterogeneous suppliers. Global suppliers' selection procedure is based on the prices that suppliers offer in their local currencies. Late deliveries and rejections also exert influence on sourcing and inventory replenishment decisions. The proposed model is a bi-objective mathematical programming, objective functions of which are minimising the total cost and the late delivery of items. In order to cope with uncertain parameters effectively, a robust possibilistic programming approach is utilised. Finally, to assess the robustness of the solutions obtained by the novel robust optimisation model, our model's results are compared to those generated by the chance-constrained programming model under the data of STAM SANAT Company. Further, the advantages of using this integrated approach versus a sequential approach under currency fluctuations are shown.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 346-364
Issue: 3
Volume: 30
Year: 2018
Keywords: supplier selection; lot-size; transportation mode selection; robust programming; RP; discount; currency exchange rate uncertainty.
File-URL: http://www.inderscience.com/link.php?id=95531
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:3:p:346-364
Template-Type: ReDIF-Article 1.0
Author-Name: Ramesh Kumar
Author-X-Name-First: Ramesh
Author-X-Name-Last: Kumar
Author-Name: M.S. Kadyan
Author-X-Name-First: M.S.
Author-X-Name-Last: Kadyan
Title: Operational behaviour of a clarifier system in the sugar industry using supplementary variable technique
Abstract:
In this paper, the clarifier system in the sugar industry is analysed having three subsystems - raw juice heater, juice sulphitor and sulphited juice heater. These subsystems are arranged in series. Both the subsystems 'raw juice heater' and 'sulphited juice heater' have standby unit whereas subsystem 'juice sulphitor' has single unit. The time to failure of the subsystems follows negative exponential distribution while repair time distribution is taken as arbitrary. The differential-difference equations associated with the state changeover model are developed by using supplementary variable technique and these equations are solved to get state probabilities of the system model. A particular case is also considered to show the behaviour of availability and expected profit of the clarifier system in the sugar industry.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 365-386
Issue: 3
Volume: 30
Year: 2018
Keywords: availability; clarifier system; expected profit; sugar industry; supplementary variable technique.
File-URL: http://www.inderscience.com/link.php?id=95532
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:3:p:365-386
Template-Type: ReDIF-Article 1.0
Author-Name: Behzad Paryzad
Author-X-Name-First: Behzad
Author-X-Name-Last: Paryzad
Author-Name: Esmaeil Najafi
Author-X-Name-First: Esmaeil
Author-X-Name-Last: Najafi
Author-Name: Hamed Kazemipoor
Author-X-Name-First: Hamed
Author-X-Name-Last: Kazemipoor
Author-Name: Nasser Shahsavari Pour
Author-X-Name-First: Nasser Shahsavari
Author-X-Name-Last: Pour
Title: The new ranking method of the decision making units in DEA: with an approach to modifying the cross efficiency method
Abstract:
There is no doubt that organisations need an operation evaluation and measurement for having more efficiency and an optimal usage of their limited sources. One of the most practical methods for evaluating the operation is using the data envelopment analysis. Hence, data envelopment analysis (DEA) and ranking decision making units (DMU) are the most favourite subjects for the researchers. This method has modified on a different style on this article that has removed the existence of multiple optimal answers in the CCR (Chames-Cooper and Rhodes). In other words, the acquired ranks of the units are particular and have achieved with a special delicacy. In order to show the efficiencies of the method, some examples have presented that had achieved the more desirable and accurate ranking. The calculated results of performing this method have compared with the Anderson-Peterson method and its flexibility has studied according to the analysis of variance (ANOVA).
Journal: Int. J. of Industrial and Systems Engineering
Pages: 387-400
Issue: 3
Volume: 30
Year: 2018
Keywords: cross efficiency; new ranking method; DEA; ANOVA.
File-URL: http://www.inderscience.com/link.php?id=95533
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:3:p:387-400
Template-Type: ReDIF-Article 1.0
Author-Name: Divya Agarwal
Author-X-Name-First: Divya
Author-X-Name-Last: Agarwal
Author-Name: Ajay K.S. Singholi
Author-X-Name-First: Ajay K.S.
Author-X-Name-Last: Singholi
Title: Performance analysis of a FLP problem using AHP-TOPSIS and FAHP-FTOPSIS
Abstract:
To meet the ever-increasing demands of manufactured product and rising competition among rival industries; well-organised, inexpensive, efficient and effective facility layout plan (FLP) needs to be equipped. FLP decision problem entails to assignment of departments, positioning of machine equipments, material handling decisions, design as well as planning of production operations, required for higher productivity with better quality and improved efficiency. It is estimated that 70% of the total production cost is due to material handling (including equipments, direct-indirect labour costs, etc.), within a facility layout however, better facility placement can contribute to up to 30% less operating expenses. ABC Pvt. Limited was considered for FLP problem because of improper material flow through shop floor and extended transportation time for material transfer. The objective of this research is to analyse and compare the performance of existing Front Axle Division Layout of ABC Pvt. Limited with the four proposed design alternatives using AHP-TOPSIS and FAHP-FTOPSIS, thereby reducing production time, material handling distance and material handling cost (MHC). The management of the case study company has adopted the analysis results as the basis to their future layout planning problem. The practical contribution of this research can, thus, be justified.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 401-424
Issue: 4
Volume: 30
Year: 2018
Keywords: facility layout; analytical hierarchical process; AHP; fuzzy AHP FAHP; TOPSIS; fuzzy TOPSIS; FTOPSIS; material handling; multiple criteria decision-making problem; MCDM.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:4:p:401-424
Template-Type: ReDIF-Article 1.0
Author-Name: Arvind Jayant
Author-X-Name-First: Arvind
Author-X-Name-Last: Jayant
Author-Name: Vikrant Giri
Author-X-Name-First: Vikrant
Author-X-Name-Last: Giri
Author-Name: Pradeep K. Singh
Author-X-Name-First: Pradeep K.
Author-X-Name-Last: Singh
Author-Name: Sunil Luthra
Author-X-Name-First: Sunil
Author-X-Name-Last: Luthra
Title: A state-of the-art literature survey of grey relational analysis applications in competitive business environment
Abstract:
Multi-criteria decision making (MCDM) approaches have been accepted a significant consideration from scientists and professionals for evaluating, surveying and selecting best alternatives for different commercial enterprises. Out of various MCDM approaches developed to unravel real-world decision making problems, grey relational analysis keeps on working satisfactorily over diversified fields of business. In this paper, we have conducted a state-of-the-art literature survey to taxonomise the research on GRA applications and methodologies in competitive business environment. The present paper is classified into five fields of applications viz. Supply chain and logistics management, manufacturing systems and design engineering, management and business, energy and environment management and some other areas of application. Research papers on GRA requisitions are again distributed based on number of publications in consecutive years and other methodologies compared or coordinated with GRA. We concluded our review paper with recommendations for future research directions in GRA decision making that is both forward-looking and practically oriented.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 425-448
Issue: 4
Volume: 30
Year: 2018
Keywords: grey relational analysis; GRA; supply chain management; SCM; environment management; multi-criteria decision-making; MCDM.
File-URL: http://www.inderscience.com/link.php?id=96160
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:4:p:425-448
Template-Type: ReDIF-Article 1.0
Author-Name: Ali Vatankhah Barenji
Author-X-Name-First: Ali Vatankhah
Author-X-Name-Last: Barenji
Title: Cloud-based manufacturing execution system: case study FMS
Abstract:
This paper proposed a cloud based manufacturing execution system (CbMES) for covering existing gaps between manufacturing execution system(MES) and enterprise resource planning(ERP) in the small and medium sized enterprises. The proposed system used a frame work based on the model driven architecture (MDA) for evaluation the proposed system, a flexible manufacturing system is selected as the case study. The proposed CbMES is developed for flexible manufacturing system and has been implemented within the oracle cloud platform, for the evaluation of this system, a simulation platform based on the colour Petri net is utilised. The result of simulation indicates that the proposed CbMAS is capable of closing the gaps between MES and ERP; therefore, the outcome of the results showed that the uptime productivity and the production rate of flexible manufacturing systems increased considerably meaning that the system is an effective and viable solution for the IT infrastructure.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 449-467
Issue: 4
Volume: 30
Year: 2018
Keywords: enterprise resource planning; ERP; manufacturing execution system; MES; model driven architecture; software as a service; SaaS; cloud computing.
File-URL: http://www.inderscience.com/link.php?id=96161
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:4:p:449-467
Template-Type: ReDIF-Article 1.0
Author-Name: Huisheng Gao
Author-X-Name-First: Huisheng
Author-X-Name-Last: Gao
Author-Name: Yujun He
Author-X-Name-First: Yujun
Author-X-Name-Last: He
Title: Risk assessment modelling for power optical backbone communication network based on MLFSR-oriented sampling Markov technique
Abstract:
In this paper, a hybrid multi-link failure statuses reduction (MLFSR)-oriented sampling Markov technique used for network service risk assessment is proposed. First, the link failure probability <i>p</i> is determined through link failure rate <i>λ</i> and repair rate <i>μ</i>. Then the link failure statuses can be reduced according to <i>p</i>, links number <i>n</i> and confidence level <i>α</i> which simplifies the failure state Markov model in assessing the possible service loss. Second, the sample size for each link failure status can be further reduced based on <i>t</i> bilateral percentile statistic theory in service loss estimation. Finally, the simulation and comparison are carried out for a practical communication network, and the results show that the network risk <i>R</i> has approximately linear relationship with link failure rate <i>λ</i> and mean repair time <i>τ</i>. This study is expected to have significant reference value for formulating risk-controlling measures to diminish communication network risk.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 468-485
Issue: 4
Volume: 30
Year: 2018
Keywords: power communication network; optical backbone network; link failure status reduction; service risk.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:4:p:468-485
Template-Type: ReDIF-Article 1.0
Author-Name: Hashem Omrani
Author-X-Name-First: Hashem
Author-X-Name-Last: Omrani
Author-Name: Iman Hushyar
Author-X-Name-First: Iman
Author-X-Name-Last: Hushyar
Author-Name: Saman Moradi Zolmabadi
Author-X-Name-First: Saman Moradi
Author-X-Name-Last: Zolmabadi
Author-Name: Abolfazl Jafari Asl
Author-X-Name-First: Abolfazl Jafari
Author-X-Name-Last: Asl
Title: A multi-objective programming model for selection third-party logistics companies and suppliers in a closed-loop supply chain
Abstract:
Due to globalisation and increasing competition in markets, the manufacturers and service organisations tend to outsource their logistics activities. On behalf of manufacturers and service organisations, an outer firm which called third party logistics (3PLs) company manages, controls and performs the logistics activities. In this paper, a general closed-loop supply chain network is designed that includes manufacturers, 3PLs, supplier, evaluation, disassembly, refurbishing and disposal sites. The proposed model of this paper has two phases. First phase determines 3PL and external supplier by using fuzzy sets theory. Namely, the preferences of decision makers for selecting 3PLs and suppliers are expressed by triangular fuzzy numbers and then, the weights of 3PLs and suppliers are determined. In the second phase, a multi-objective mixed integer linear programming model is proposed to determine the product optimum quantity assigned to the 3PL and parts purchased from supplier. The proposed model considers 3PL and supplier selection, simultaneously. To illustrate the capability of the suggested model, a numerical example is solved and the results are analysed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 486-511
Issue: 4
Volume: 30
Year: 2018
Keywords: supply chain management; reverse logistic; suppliers selection; third party logistic; 3PL; mixed integer linear programming; fuzzy logic.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:4:p:486-511
Template-Type: ReDIF-Article 1.0
Author-Name: Xiaopeng Li
Author-X-Name-First: Xiaopeng
Author-X-Name-Last: Li
Author-Name: Wujiu Pan
Author-X-Name-First: Wujiu
Author-X-Name-Last: Pan
Author-Name: Shujun Li
Author-X-Name-First: Shujun
Author-X-Name-Last: Li
Author-Name: Xinqi Wang
Author-X-Name-First: Xinqi
Author-X-Name-Last: Wang
Author-Name: Hongguang Wang
Author-X-Name-First: Hongguang
Author-X-Name-Last: Wang
Title: Analysis on the characteristics for a new differential crawling device of an insulator inspection robot
Abstract:
In order to realise the synchronous drive of the insulator inspection robot with a simple control system, a single drive crawling device of the robot is designed. This device has a three-degree freedom (3-DOF) differential drive system which can be driven by a motor to make the three sets of arm crawl synchronously. It has a certain ability of self-adaption and compensating output errors. First, the crawling device's assembly model of insulator inspection robot is designed. Then the kinematics analysis is established. In addition, a kineto-statics model is founded to analyse the total torque and the stress state of the contact points when the device is crawling. Finally, simulation is used to analyse and the error adjustment of crawling device is studied. After theoretical analysis and dynamic simulation of the crawling device, results show that it has a certain ability of error adjustment.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 512-535
Issue: 4
Volume: 30
Year: 2018
Keywords: insulator; inspection robot; differential drive; crawling device; error self-adjustment.
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Handle: RePEc:ids:ijisen:v:30:y:2018:i:4:p:512-535