Template-Type: ReDIF-Article 1.0
Author-Name: Ibtissem Bakhti
Author-X-Name-First: Ibtissem
Author-X-Name-Last: Bakhti
Author-Name: Souad Chaouch
Author-X-Name-First: Souad
Author-X-Name-Last: Chaouch
Author-Name: Abdessalam Makouf
Author-X-Name-First: Abdessalam
Author-X-Name-Last: Makouf
Author-Name: Tarek Douadi
Author-X-Name-First: Tarek
Author-X-Name-Last: Douadi
Title: Robust integral backstepping control with extended Kalman filter of permanent magnet synchronous motor
Abstract:
Sensorless integral backstepping control combined with extended Kalman filter applied to permanent magnet synchronous motors (PMSM) is the topic of this paper. Moreover, a robust backstepping control is designed where an integral action is introduced in order to improve the robust properties of the controller. Our proposed control strategy is based on an accurate extended Kalman filter observer that estimates speed, position, stator currents and load torque. This Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. The stability of the system with the observer-controller scheme is analysed and sufficient conditions are given to prove the practical stability. The simulation results are shown to illustrate the performance of the proposed scheme under parametric uncertainties and low speed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-14
Issue: 1
Volume: 31
Year: 2019
Keywords: permanent magnet synchronous motor; PMSM; sensorless control; integral backstepping control; I-back; extended Kalman filter; EKF.
File-URL: http://www.inderscience.com/link.php?id=96883
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:1:p:1-14

Template-Type: ReDIF-Article 1.0
Author-Name: Tanuj Nandan
Author-X-Name-First: Tanuj
Author-X-Name-Last: Nandan
Author-Name: Vikas Kumar Choubey
Author-X-Name-First: Vikas Kumar
Author-X-Name-Last: Choubey
Title: Exploring the relationship of discrete components of inventory with financial performance in Indian automotive industry
Abstract:
Inventory holdings and its discrete components [i.e., raw material inventory (RMI), work in process inventory (WIPI) and finished goods inventory (FGI)] are very important factors influencing the firm performance. The objective of this paper is to study the relationship between discrete components of inventory [raw material (RM), work-in-process (WIP), and finished goods (FG)], and financial performance in manufacturing companies. Statistical analysis has been applied to the financial information of 522 Indian automotive manufacturing firms over the ten-year period from 2002-2003 to 2011-2012. Through the analysis, this paper finds statistically significant relationships between the discrete components of inventory and measures of financial performance (at both the gross and operating levels) for firms in automotive manufacturing industries. This paper adds to previous literature by discussing and testing the relationship between the discrete types of inventory (RMI, WIP, and FGI) and firm's profitability of operations, both at the gross and at the operating profit levels.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 15-37
Issue: 1
Volume: 31
Year: 2019
Keywords: operational efficiency; automotive manufacturing industries; discrete components of inventory; financial performance.
File-URL: http://www.inderscience.com/link.php?id=96884
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:1:p:15-37

Template-Type: ReDIF-Article 1.0
Author-Name: Amal Boukili
Author-X-Name-First: Amal
Author-X-Name-Last: Boukili
Author-Name: Mohammed El Hammoumi
Author-X-Name-First: Mohammed El
Author-X-Name-Last: Hammoumi
Author-Name: Said Haouache
Author-X-Name-First: Said
Author-X-Name-Last: Haouache
Title: Statistical study on the use of the measurement techniques in predictive maintenance taking Moroccan companies as an example
Abstract:
This article presents where Moroccan companies stand the use of the measurement techniques in predictive maintenance. The objective is to identify the main advantages and disadvantages of each measurement technique (vibratory analysis; thermography; radiography; penetrant testing; magnetoscopy and ultrasonic) taking into account the characteristics of the production (continuous, discontinuous, by project) and the sector of activity (agri-food, automobile, textile, service sector...). This survey allows determining how many Moroccan industries use measurement techniques to avoid breakage that could slow down and even stop producing a preventive maintenance program. It brings the original data on the choice of a technique among others considering the nature of the physical monitoring parameter and criteria of speed, cost, reproducibility, reliability, sensitivity and resolution of each measurement technique. As a result, the industrial managers may rely on the results of this survey in order to use a maintenance program directed to a predictive maintenance. The most suitable technique should be chosen, taking into consideration the field of activity of each company and based on the advantages and disadvantages of each measurement technique.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 38-69
Issue: 1
Volume: 31
Year: 2019
Keywords: preventive maintenance; vibratory analysis; thermography; radiography; penetrant testing; magnetoscopy and ultrasonic; speed; cost; reproducibility; reliability; sensitivity and resolution; Morocco.
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Template-Type: ReDIF-Article 1.0
Author-Name: Rana Majumdar
Author-X-Name-First: Rana
Author-X-Name-Last: Majumdar
Author-Name: P.K. Kapur
Author-X-Name-First: P.K.
Author-X-Name-Last: Kapur
Author-Name: Sunil Kumar Khatri
Author-X-Name-First: Sunil Kumar
Author-X-Name-Last: Khatri
Title: Assessing software upgradation attributes and optimal release planning using DEMATEL and MAUT
Abstract:
This study analyses the software upgradations aspects of industries by applying the DEMATEL method and then finding the optimal release time of the upgraded software using MAUT to remain competitive in the market. Founded on the literature reviews and based on expert's opinion, three significant viewpoints and eight attribute were identified as key factors and then further confirmed by industry professionals. The result exhibited that the strategic perception from management point of view was the most significant perception and greatly influenced the remaining two viewpoints. The applicability of DEMATEL method is to confirm interrelationships among diverse attributes and helps to recognise the key attributes whereas the role of MAUT process is to identify the release time of software based on casual relations among attributes. So here the objective is: 1) to identify and analyses upgradation attributes; 2) based on analysis/outcome of DEMATEL method optimal release time of software is determined.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 70-94
Issue: 1
Volume: 31
Year: 2019
Keywords: decision-making trial and evaluation laboratory; DEMATEL; cause and effect relationship; multi-attribute utility theory; MAUT.
File-URL: http://www.inderscience.com/link.php?id=96886
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:1:p:70-94

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Farahmand
Author-X-Name-First: Mohammad
Author-X-Name-Last: Farahmand
Author-Name: Maliheh Ganji
Author-X-Name-First: Maliheh
Author-X-Name-Last: Ganji
Author-Name: Seyed Mojtaba Sajadi
Author-X-Name-First: Seyed Mojtaba
Author-X-Name-Last: Sajadi
Title: Reliability evaluation and improvement of manufacturing helicopter in an aircraft manufacturing company - case study: skid types helicopter landing gear
Abstract:
Due to its sensitivity to time and accuracy, aerospace equipment requires a highly accurate manufacturing process to achieve higher reliability compared to other equipment. Focusing the studied helicopter, this study examines reliability of components of a landing gear manufactured by an aircraft company to improve total reliability of the product. Developing a model for risk-based design of a landing gear, this study proposes an inclusive approach for evaluating and promoting total reliability of the landing gear. Obviously, the reliability of components leads to the total reliability of product. This study identifies different components of a product to examine reliability of a component of that product. Then, the components are prioritised by FMEA for promotion to increase total reliability of the product. In conclusion, the objective of this study is to develop an inclusive model for improving reliability of mechanical components of landing gear manufactured by an aircraft company.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 95-112
Issue: 1
Volume: 31
Year: 2019
Keywords: failure modes and effects analysis; FMEA; fault tree analysis; FTA; feasibility of objectives; FOO; reliability.
File-URL: http://www.inderscience.com/link.php?id=96887
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:1:p:95-112

Template-Type: ReDIF-Article 1.0
Author-Name: Cahyono Sigit Pramudyo
Author-X-Name-First: Cahyono Sigit
Author-X-Name-Last: Pramudyo
Author-Name: Huynh Trung Luong
Author-X-Name-First: Huynh Trung
Author-X-Name-Last: Luong
Title: One vendor and multiple retailers system in vendor managed inventory problem with stochastic demand
Abstract:
In many supply networks, the retailers are reluctant to share information about demand and inventory level to the vendor. This might lead to many difficulties for the vendor in establishing his own order/production plan. Vendor managed inventory (VMI) policy can help to solve that problem. By applying VMI, information sharing is not really a problem for the vendor anymore and this policy have been proven to help reduce total inventory cost as well as improve customer service level in the supply network. In this research, a VMI model for the system with one vendor and multiple retailers will be developed. The main target of the model is to determine the retailer's lot size, the vendor's lot size, the retailer cycle time, and the number of replenishments in a vendor cycle so as to minimise the total system cost. For solution purpose, simulation-optimisation technique using genetic algorithm is employed to help find optimal solutions for the decision variables. Numerical experiments are conducted to show the applicability of the proposed model. Sensitivity analysis is also conducted to examine the effects of some input parameters on the optimal solution.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 113-136
Issue: 1
Volume: 31
Year: 2019
Keywords: vendor managed inventory; VMI; simulation-optimisation; genetic algorithm.
File-URL: http://www.inderscience.com/link.php?id=96888
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:1:p:113-136

Template-Type: ReDIF-Article 1.0
Author-Name: J. Krishnaraj
Author-X-Name-First: J.
Author-X-Name-Last: Krishnaraj
Author-Name: S. Pugazhendhi
Author-X-Name-First: S.
Author-X-Name-Last: Pugazhendhi
Author-Name: Chandrasekharan Rajendran
Author-X-Name-First: Chandrasekharan
Author-X-Name-Last: Rajendran
Author-Name: S. Thiagarajan
Author-X-Name-First: S.
Author-X-Name-Last: Thiagarajan
Title: Simulated annealing algorithms to minimise the completion time variance of jobs in permutation flowshops
Abstract:
In this paper, the permutation flowshop scheduling problem with the objective of minimising the completion time variance (CTV) of jobs is considered, and a simulated annealing algorithm (SA) and two modified SAs (MSA1 and MSA2) are proposed. In the first phase, the proposed algorithms are used to minimise CTV of jobs without any right shifting of completion times of jobs on the last machine (RSCT). As followed in the literature some times, the RSCT (except that of the last job) is attempted in the second phase, and in the third phase, we convert sequences so as to follow the V-shaped property with respect to processing time of jobs on the last machine, followed by RSCT except that of the last job, so that the makespan and the machine utilisation in the shop floor remain the same. We present an extensive computational evaluation of the existing and the proposed heuristic algorithms.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 425-451
Issue: 4
Volume: 31
Year: 2019
Keywords: scheduling; permutation flowshop; simulated annealing algorithm; completion time variance; CTV.
File-URL: http://www.inderscience.com/link.php?id=99188
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:4:p:425-451

Template-Type: ReDIF-Article 1.0
Author-Name: Jiunn-I Shieh
Author-X-Name-First: Jiunn-I
Author-X-Name-Last: Shieh
Author-Name: Hsin-Hung Wu
Author-X-Name-First: Hsin-Hung
Author-X-Name-Last: Wu
Title: Improving dual importance analysis based on a Shapley value associated with a fuzzy measure when interactions of criteria are significant
Abstract:
Kano's model is very useful to classify customer needs into different categories by completely using self-stated evaluations. However, the derived evaluation approach uses a less direct way of uncovering the evaluations that are most reliable to reflect the respondents' view from the survey. In addition, interaction effects among items, particularly non-linear interactions, are often incurred in practice. This study proposes a framework of using the dual importance graph with self-stated performance and derived importance computed by a Shapley value associated with a fuzzy measure method to classify the service items into different types of Kano's category by considering both linear and nonlinear effects among items. A case of evaluating the service quality of a particular hospital is illustrated to show how this proposed framework works. The result shows that using the Shapley value-based dual importance graph is more practical to deal with interactions of items.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 168-183
Issue: 2
Volume: 31
Year: 2019
Keywords: Kano's model; dual importance diagram; Shannon interaction information; fuzzy measure; Shapley value.
File-URL: http://www.inderscience.com/link.php?id=97735
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:2:p:168-183

Template-Type: ReDIF-Article 1.0
Author-Name: Mohamad H. Gholami
Author-X-Name-First: Mohamad H.
Author-X-Name-Last: Gholami
Author-Name: Mirmehdi Seyyed-Esfahani
Author-X-Name-First: Mirmehdi
Author-X-Name-Last: Seyyed-Esfahani
Title: An integrated analytical framework based on fuzzy DEMATEL and fuzzy ANP for competitive market strategy selection
Abstract:
Selection of an appropriate competitive market strategy is inevitable for firms to create value for customers and consequently to achieve competitive advantage over their competitors. However, selection of such strategy is not straightforward because it requires considering numerous factors including internal and external factors that affect the firm's performance and assessing the complex relationships between them. This study considers the selection of the best competitive market strategy as a multiple criteria decision making problem and proposes an integrated framework on the basis of the resource-based view (RBV) of the firm as internal factors (firm-level analysis) and Porter's competitive forces as external factors (industry-level analysis). The aim of the current study is to propose a systematic decision support framework integrating the RBV of the firm and Porter's industry analysis to select the best competitive market strategy that can enhance the competitive advantage of a firm.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 137-167
Issue: 2
Volume: 31
Year: 2019
Keywords: competitive market strategy; resource-based view; RBV; Porter's competitive forces; Porter's generic strategies; fuzzy decision making trial and evaluation laboratory; fuzzy DEMATEL; fuzzy analytic network process; fuzzy ANP.
File-URL: http://www.inderscience.com/link.php?id=97736
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:2:p:137-167

Template-Type: ReDIF-Article 1.0
Author-Name: Ali Sayyah
Author-X-Name-First: Ali
Author-X-Name-Last: Sayyah
Author-Name: Reza Baradaran Kazemzadeh
Author-X-Name-First: Reza Baradaran
Author-X-Name-Last: Kazemzadeh
Author-Name: Mohammad Mehdi Sepehri
Author-X-Name-First: Mohammad Mehdi
Author-X-Name-Last: Sepehri
Author-Name: Hamidreza Eskandari
Author-X-Name-First: Hamidreza
Author-X-Name-Last: Eskandari
Title: A multi-objective modelling approach to assess the impact of maintenance scheduling on equipment procurement methods
Abstract:
In this research, a new multi-objective optimisation model is developed from equipment user's point of view who is seeking to select from among the buy/lease/upgrade decisions and maintenance schedule options when the equipment performance criteria and total cost are in consideration. The proposed model determines the possible non-dominated physical asset management (AM) strategies by interconnecting procurement parameters, maintenance scheduling variables, and equipment's working historical data. Total operational cost, the equipment reliability and unavailability are the objectives of the model which is solved using NSGA-II. Each of the achieved strategies consists of a procurement method (buy/lease/upgrade) and a maintenance strategy (PM degree, PM interval and upgrade level). The model is applied to a specific equipment to determine non-dominated asset management strategies for a specified time horizon in a copper mine. The results show that by managing maintenance variables, the decision maker is capable of choosing a proper procurement strategy to the organisation from among various equivalent AM strategies.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 184-208
Issue: 2
Volume: 31
Year: 2019
Keywords: maintenance scheduling; multi-objective optimisation; equipment procurement; physical asset management; reliability; unavailability; NSGA-II.
File-URL: http://www.inderscience.com/link.php?id=97737
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:2:p:184-208

Template-Type: ReDIF-Article 1.0
Author-Name: Reza Hosnavi
Author-X-Name-First: Reza
Author-X-Name-Last: Hosnavi
Author-Name: Mohammad Ali Nekooie
Author-X-Name-First: Mohammad Ali
Author-X-Name-Last: Nekooie
Author-Name: Seyed Mohammad Khalili
Author-X-Name-First: Seyed Mohammad
Author-X-Name-Last: Khalili
Author-Name: Ahmad Tavakoli
Author-X-Name-First: Ahmad
Author-X-Name-Last: Tavakoli
Title: A resilient supply portfolio considering political and disruption risks
Abstract:
The need of accounting for resilience in global supply chains has been growing from practical and academic points of view. However, there is still the need for developing quantitative decision support models on this issue. In the present work, we propose a novel multi-objective mixed possibilistic, two-stage scenario-based stochastic programming model to handle supplier selection and order allocation problem in a global supply chain under operational and disruption risks. The model minimises cost and political risk, while, maximising resilience of the supply portfolio. Various risk mitigation approaches including: contracting with backup suppliers, fortification of suppliers and procurement of emergency inventory, are considered in the model. In addition, the proposed model determines recovery plans. Reservation level driven Tchebycheff procedure is incorporated in the solution procedure to find Pareto-optimal solutions. The validation of the model via computational experiments demonstrates the applicability of the proposed model and solution method in building a resilient supply portfolio under consideration of operational and disruption risks.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 209-249
Issue: 2
Volume: 31
Year: 2019
Keywords: supply chain risk/disruption management; resilient supply portfolio; mixed possibilistic two-stage stochastic programming.
File-URL: http://www.inderscience.com/link.php?id=97738
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:2:p:209-249

Template-Type: ReDIF-Article 1.0
Author-Name: Amjad Khalili
Author-X-Name-First: Amjad
Author-X-Name-Last: Khalili
Author-Name: Md Yusof Ismail
Author-X-Name-First: Md Yusof
Author-X-Name-Last: Ismail
Author-Name: A.N.M. Karim
Author-X-Name-First: A.N.M.
Author-X-Name-Last: Karim
Author-Name: Mohd Radzi Che Daud
Author-X-Name-First: Mohd Radzi Che
Author-X-Name-Last: Daud
Title: Quality management practices and sustainable performance: examining the role of soft TQM as mediator
Abstract:
Malaysian managers are trying to implement quality management (QM) practices in their industries to be competitive. However, few empirical studies are conducted in the developing economy of Malaysia to examine the role of TQM soft dimension (STQM) as possible mediator in the relationship among QMS ISO9001:2015 and sustainable performance (SP). Using 329 primary data collected from Malaysian numerous industries, this paper aims to develop a conceptual model that links the three practices namely QMS, STQM and SP in one integrated model and to examine the mediating structure of soft TQM (STQM) aspects through techniques exploited from structural equation modelling (SEM). Findings from AMOS program show that bootstrapping technique supported that STQM is treated as mediator construct. Full mediation is detected in this paper which reflects the importance of practising STQM aspects for Malaysian manufacturers. The main contribution of this paper is through introducing bootstrapping for mediating estimation and focusing on all measured industrial sectors that Malaysia needs to be an industrialised nation in the coming few years.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 250-277
Issue: 2
Volume: 31
Year: 2019
Keywords: QMS; soft TQM; STQM; sustainable; mediating; bootstrapping; Malaysia.
File-URL: http://www.inderscience.com/link.php?id=97739
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:2:p:250-277

Template-Type: ReDIF-Article 1.0
Author-Name: De-ning Song
Author-X-Name-First: De-ning
Author-X-Name-Last: Song
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: Ning Zhang
Author-X-Name-First: Ning
Author-X-Name-Last: Zhang
Author-Name: Li-kun Si
Author-X-Name-First: Li-kun
Author-X-Name-Last: Si
Title: A precise direct parametric interpolation method for NURBS-toolpath generation
Abstract:
Non-uniform rational B-spline (NURBS) interpolator has many advantages over conventional linear/circular interpolator. However, as there is a nonlinear corresponding relation between the curve parameter and the arc displacement of the NURBS curve, it is hard to accurately calculate the parameter of the next interpolation point, thus resulting in a deviation between the desired and the actual feed rate, i.e., feed rate fluctuation. A large feed rate fluctuation may cause machine-tool vibration, which is bad for the cutter life and the machining quality. Therefore, aiming at reducing the feed rate fluctuation, this paper presents a high-precision parametric interpolation method, which features a second-order Runge-Kutta algorithm with parameter compensation. First, a second-order Runge-Kutta method is employed to compute the initial interpolation-point parameter. After that, the parameter is compensated using first-order Taylor's expansion of the feed rate-fluctuation function, thus enhancing the calculation precision of the next interpolation point parameter. Experimental results demonstrate the advantage of the presented method.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 278-286
Issue: 2
Volume: 31
Year: 2019
Keywords: parametric interpolation; NURBS interpolator; feed rate fluctuation; high-precision machining.
File-URL: http://www.inderscience.com/link.php?id=97743
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:2:p:278-286

Template-Type: ReDIF-Article 1.0
Author-Name: Elia Oey
Author-X-Name-First: Elia
Author-X-Name-Last: Oey
Author-Name: Alexander B. Marpaung
Author-X-Name-First: Alexander B.
Author-X-Name-Last: Marpaung
Author-Name: M. Idham Sofyan
Author-X-Name-First: M. Idham
Author-X-Name-Last: Sofyan
Title: Analysing salesmen itinerary with agglomerative hierarchical clustering and vehicle routing algorithm - a case study of a confectionery supplier in Indonesia
Abstract:
The study analysed salesmen itinerary of a confectionery supplier in Indonesia. Channel management and robust product distribution are important elements for confectionery business, since growth heavily depends on healthy product distribution. To support product distribution, optimising salesmen itinerary plays an important role in the firm's sales operation. The study was limited to optimising salesmen schedule for its wholesalers' outlet type, since it contributed to 78% of its revenue. The analyses were carried out using 'cluster first-route second' approach. For clustering the customer nodes, it recommended agglomerative hierarchical clustering (AHC) method. For routing within each customer's cluster, it tested two algorithms, i.e., Clarke-Wright and weighted-serving time-visual approach. The result showed that AHC-weighted-serving-time-visual algorithm was as good as AHC-Clarke-Wright with 2.1% cheaper variable cost. The proposed algorithm was adapted from practical insight and easier to be understood.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 287-303
Issue: 3
Volume: 31
Year: 2019
Keywords: cluster first-route second; vehicle routing problem; VRP; agglomerative hierarchical clustering; AHC; Clarke-Wright; weighted-serving time-visual approach; Indonesia.
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:3:p:287-303

Template-Type: ReDIF-Article 1.0
Author-Name: Amiya Kumar Pattanayak
Author-X-Name-First: Amiya Kumar
Author-X-Name-Last: Pattanayak
Author-Name: Anand Prakash
Author-X-Name-First: Anand
Author-X-Name-Last: Prakash
Author-Name: Rajendra Prasad Mohanty
Author-X-Name-First: Rajendra Prasad
Author-X-Name-Last: Mohanty
Title: Managing cost of quality in supply chain: a case study
Abstract:
This paper attempts to present the overseeing situation of cost of quality (CoQ) in the supply chain of an integrated aluminium manufacturing company as the case example shown by the authors. The study has critiqued a wide range of published literature to provide an in depth review of CoQ and CoQ in the supply chain. This study describes an application of grounded theory approach for CoQ in the supply chain to demonstrate what can be found and how the information on CoQ in supply chain of the case example can help. The study considers rigorous methodological usefulness of the research results to benefit researchers and practitioners in making financial improvements, with justification in planning and controlling of quality in the supply chain. This study explains that CoQ in the supply chain helps in realising there is a sustainable competitive advantage through its proficient know-how advancement founded on internal analysis under conditions of uncertainty, complexity and conflicts.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 304-323
Issue: 3
Volume: 31
Year: 2019
Keywords: cost of quality; CoQ; grounded theory; management; quality; quality cost; supply chain.
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:3:p:304-323

Template-Type: ReDIF-Article 1.0
Author-Name: Panagiotis Tsarouhas
Author-X-Name-First: Panagiotis
Author-X-Name-Last: Tsarouhas
Title: Evaluation of reliability, availability and maintainability of a milk production line
Abstract:
The application of statistical approaches of failure data for analysing the reliability, availability and maintainability of a milk production line were carried out. Descriptive statistics of the failure and repair data was computed and the best fitness indexes were determined. The parameters of some idealised probability distributions, such as Weibull, exponential, lognormal and normal distributions have been estimated. Reliability and maintainability (R%M) of workstation and the entire line at different mission times with their best-fit distribution have been estimated. Both R%M proved to be useful tools to assess the current situation, and to predict reliability, mainly in short term, for upgrading the operation management of the milk production line. It was pointed out that: a) the availability for the milk production line was 96.13% and the line was down or under repair for 3.9%; b) both bottling machine and heat exchanger/pasteuriser machine had 57.5% of all the failures that presented on the production line; c) there were no-trend and serial correlation for both failure and repair data. The records of failures and repairs can be a useful database for manufacturers of milk industry to design new reliable and safe equipment.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 324-342
Issue: 3
Volume: 31
Year: 2019
Keywords: reliability; maintainability; performance evaluation; field failure/repair data.
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:3:p:324-342

Template-Type: ReDIF-Article 1.0
Author-Name: Saeideh Naghiha
Author-X-Name-First: Saeideh
Author-X-Name-Last: Naghiha
Author-Name: Reza Maddahi
Author-X-Name-First: Reza
Author-X-Name-Last: Maddahi
Author-Name: Ali Ebrahimnejad
Author-X-Name-First: Ali
Author-X-Name-Last: Ebrahimnejad
Title: An integrated AHP-DEA methodology for evaluation and ranking of production methods in industrial environments
Abstract:
Decision making about the superior method to produce products is essential to growth and dynamism of productive organisations. In this regard, utilising a model to evaluate the comprehensive performance of different manufacturing methods is significant. In addition, defining and finding the suitable indexes of decision making is required to the proper implementation of performance evaluation system. Thus, in this study, it is attempted to select the best production method and to supply material using data envelopment analysis (DEA) technique and analytic hierarchy process (AHP). In this regard, the performance of ball valve production in Petro Nab Sepahan Manufacturing Company is assessed and ranked using these two methods by considering dimensions such as quality, cost and function as well as acquired measures.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 343-359
Issue: 3
Volume: 31
Year: 2019
Keywords: performance assessment; analytic hierarchy process; AHP; data envelopment analysis; DEA; simple additive weight; SAW; ball valve.
File-URL: http://www.inderscience.com/link.php?id=98544
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:3:p:343-359

Template-Type: ReDIF-Article 1.0
Author-Name: Ammar Y. Alqahtani
Author-X-Name-First: Ammar Y.
Author-X-Name-Last: Alqahtani
Author-Name: Surendra M. Gupta
Author-X-Name-First: Surendra M.
Author-X-Name-Last: Gupta
Title: Warranty cost sharing policies with preventive maintenance strategy for sensor embedded remanufactured products
Abstract:
With the rapid growth of interest in remanufactured products, offering warranty for remanufactured products and components is becoming necessary for remanufacturer in order to meet customers' requirements mechanism. Furthermore, maintenance policies are of great importance in order to reduce the warranty cost of the remanufacturer. In this paper, a simulation model for remanufactured items sold with one-dimensional non-renewing cost sharing warranty (CSW) and cost limit warranty (CLW) are proposed from the point of view of remanufacturer. In this model, an end-of-life product (EOLP) is subjected to upgrade action at the end of its past life. During the warranty period, preventive maintenance actions are carried out when the remaining life of the product reaches a pre-specified value so that the remanufacturer's expected profit can be maximised. Finally, a numerical example and design of experiment analysis are provided to demonstrate the proposed approach.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 360-394
Issue: 3
Volume: 31
Year: 2019
Keywords: reverse supply chain; preventive maintenance; warranty policies; remanufacturing; sensor-embedded products; SEPs.
File-URL: http://www.inderscience.com/link.php?id=98545
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:3:p:360-394

Template-Type: ReDIF-Article 1.0
Author-Name: Zhengling Lei
Author-X-Name-First: Zhengling
Author-X-Name-Last: Lei
Author-Name: Hui Xie
Author-X-Name-First: Hui
Author-X-Name-Last: Xie
Title: An active observer-based predictive energy management strategy for engine waste heat recovery system
Abstract:
In this paper, energy management of waste heat recovery system has been attacked based on a three-step problem formulation approach. The problem has been formulated into a bilevel programme, where the upper level is designed to optimise the usage of recovered energy and the lower level is arranged to maximise the recovered energy. However, detailed models for real-time decision making cannot be easily obtained. In order to ensure the energy management performance, an active observer named extended state observer is adopted to compensate for static models via online information of the real energy network. The final decision making of the energy management is conducted based on the reconstructed model, which is simpler and more accurate. An energy network constructed by <engine>-<power turbine>-<organic Rankine cycle system>-<electric cooling system>-<battery>-<integrated starter and generator> is employed as the research object. Simulation study conducted by GT-SUITE software is used to verify the sub-goals of the problem configuration, including model self-reconstruction capability and fuel-saving potential. For two given testing cycles, simulation results indicate fairly good self-reconstruction capability can be ensured, while considerable fuel-saving capability can be reached comparing with a baseline strategy, indicating the effectiveness of the proposed approach.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 395-423
Issue: 3
Volume: 31
Year: 2019
Keywords: engine waste heat recovery; extended state observer; bilevel programming; energy management.
File-URL: http://www.inderscience.com/link.php?id=98546
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:3:p:395-423

Template-Type: ReDIF-Article 1.0
Author-Name: Armagan Bayram
Author-X-Name-First: Armagan
Author-X-Name-Last: Bayram
Author-Name: Senay Solak
Author-X-Name-First: Senay
Author-X-Name-Last: Solak
Title: An application of routing location and allocation model for drinking water distribution
Abstract:
Due to severe droughts occurring in southwest China, this region is facing a perilous water crisis for a long time. To meet the daily drinking water demand, the government is sending water to these rural areas via trucks. This study addresses a type of vehicle routing problem motivated by a drinking water distribution application in Luxi County, China to help alleviate the drought in this region. We model this problem as a mixed-integer program where the objective involves the minimisation of a weighted function of efficiency and equity metrics. Due to the computational complexity of the integer programming model, two heuristic approaches are proposed to obtain more practical solutions. We further propose Benders' decomposition algorithm and perform computational analysis to compare the efficiency of mixed integer programming model, heuristic approaches and Benders' decomposition algorithm. Through computational analyses, we also explore how different objective metrics influence the distribution of drinking water.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 452-474
Issue: 4
Volume: 31
Year: 2019
Keywords: vehicle routing and allocation; non-profit vehicle routing; mixed-integer programming; resource allocation; water distribution.
File-URL: http://www.inderscience.com/link.php?id=99189
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:4:p:452-474

Template-Type: ReDIF-Article 1.0
Author-Name: Zahra Mohammadian-Behbahani
Author-X-Name-First: Zahra
Author-X-Name-Last: Mohammadian-Behbahani
Author-Name: Armin Jabbarzadeh
Author-X-Name-First: Armin
Author-X-Name-Last: Jabbarzadeh
Author-Name: Mir Saman Pishvaee
Author-X-Name-First: Mir Saman
Author-X-Name-Last: Pishvaee
Title: A robust optimisation model for sustainable blood supply chain network design under uncertainty
Abstract:
Blood is a perishable, scarce and lifesaving product. While the demand for blood products has been increased over the past few decades, there has been no specified artificial alternative for this critical product yet. In this context, it is of paramount importance to design efficient, agile and effective blood supply chain networks. This paper presents a multi-objective stochastic programming model for blood supply chain network design by considering the following objectives: minimising total cost, minimising delivery time and maximising two important social measures including the indicator of consumer's health and the rate of regular blood donors. A robust optimisation approach is employed to incorporate different sources of uncertainties in demand and supply parameters. To investigate the performance and utility of the proposed formulation, the model is implemented using real data of blood transfusion network of Tehran.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 475-494
Issue: 4
Volume: 31
Year: 2019
Keywords: blood supply chain; network design; sustainability; uncertainty; ?-constraint method.
File-URL: http://www.inderscience.com/link.php?id=99190
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:4:p:475-494

Template-Type: ReDIF-Article 1.0
Author-Name: M. Satheesh
Author-X-Name-First: M.
Author-X-Name-Last: Satheesh
Author-Name: J. Edwin Raja Dhas
Author-X-Name-First: J. Edwin Raja
Author-X-Name-Last: Dhas
Title: Experimentation and weld parameter optimisation using grey fuzzy analysis
Abstract:
The most popular steel grade material highly used in the fabrication of industrial pressure vessels and boilers is SA516 grade 70. Submerged Arc Welding is a metal joining technique widely used in heavy fabrication industries for its high quality, reliability, attaining deeper penetration and a smooth appearance of weld bead. In this paper, Taguchi's L27 orthogonal array is used to perform welding of SA 516 grade 70 steel plates. To improve the weld quality, the optimal combination of welding parameters is chosen using grey relational analysis. Grey fuzzy optimisation of welding parameters is based on four different output performance characteristics, namely, bead reinforcement, bead width, bead penetration and dilution. From analysis of variance it is evident that electrode stick out is the most influential factor in submerged arc welding process parameters. Mechanical and metallurgical studies are performed to confirm the effectiveness of the approach.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 495-516
Issue: 4
Volume: 31
Year: 2019
Keywords: ANOVA; fuzzy; bead geometry; orthogonal array; Taguchi method.
File-URL: http://www.inderscience.com/link.php?id=99191
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:4:p:495-516

Template-Type: ReDIF-Article 1.0
Author-Name: Jau-Chuan Ke
Author-X-Name-First: Jau-Chuan
Author-X-Name-Last: Ke
Author-Name: Tzu-Hsin Liu
Author-X-Name-First: Tzu-Hsin
Author-X-Name-Last: Liu
Author-Name: Ying-Lin Hsu
Author-X-Name-First: Ying-Lin
Author-X-Name-Last: Hsu
Author-Name: Hui-Tzu Ku
Author-X-Name-First: Hui-Tzu
Author-X-Name-Last: Ku
Title: Analysis of machine-repairing systems with server breakdown and delayed repairs
Abstract:
This paper considers a machine-repairing system with a partial breakdown and delay-repairs. When the servers fail, the service continues at a slower rate instead of stopping completely. We utilise a matrix-analytic method to obtain steady-state probabilities. We then develop system performance measures. A cost model is developed to simultaneously determine the optimal value of the number of servers, the number of standby servers, the two service rates, and the cost of maintaining system availability at an acceptable level. We employ the probabilistic global search Lausanne method to deal with the optimisation problem. Sensitivity analysis is also conducted in which various system parameters are evaluated under optimal operating conditions. Finally, an application example is provided to demonstrate how the presented model could be used in real-life situations.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 517-534
Issue: 4
Volume: 31
Year: 2019
Keywords: cost analysis; partial breakdowns; delayed repairs; warm standby machine; probabilistic global search Lausanne.
File-URL: http://www.inderscience.com/link.php?id=99192
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:4:p:517-534

Template-Type: ReDIF-Article 1.0
Author-Name: Daryosh Mohamadi Janaki
Author-X-Name-First: Daryosh Mohamadi
Author-X-Name-Last: Janaki
Author-Name: Abolfazl Mirzazadeh
Author-X-Name-First: Abolfazl
Author-X-Name-Last: Mirzazadeh
Author-Name: Mehdi Mohamadi Janaki
Author-X-Name-First: Mehdi Mohamadi
Author-X-Name-Last: Janaki
Title: Reducing barriers to the implementation of strategic management by providing improved strategies: using fuzzy QFD applied to Petropars Company
Abstract:
In all organisations, the transition from strategy development to strategy implementation requires a change in responsibilities. Petropars has been chosen as a real case in the oil and gas industry. In this research, we have tried to address the fundamental problems of private companies in implementing strategic management, And in interviews with the top managers and experts of Petropars Company, some of the main barriers to implementation of strategic management were identified. In this paper, a quality-performance-based approach is proposed. Using the fuzzy method, different parts of the house of quality, and the relationship of the stakeholders' desire to improve barriers, are removed from linguistic and ambiguous strategies with strategic actions, How to use both the house of quality (HOQ) and fuzzy logic, and adding four new fuzzy parts to the quality house, and finally, using the quality home, the transformation of barriers to implementing strategic management to the improvement strategies is presented in Table 12.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 535-557
Issue: 4
Volume: 31
Year: 2019
Keywords: fuzzy QFD; strategic management obstacles; Petropars; stakeholders.
File-URL: http://www.inderscience.com/link.php?id=99193
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Handle: RePEc:ids:ijisen:v:31:y:2019:i:4:p:535-557

Template-Type: ReDIF-Article 1.0
Author-Name: Xiaopeng Li
Author-X-Name-First: Xiaopeng
Author-X-Name-Last: Li
Author-Name: Ze Wang
Author-X-Name-First: Ze
Author-X-Name-Last: Wang
Author-Name: Xue Wang
Author-X-Name-First: Xue
Author-X-Name-Last: Wang
Author-Name: Jiasheng Li
Author-X-Name-First: Jiasheng
Author-X-Name-Last: Li
Title: Research on static friction coefficient of joint surfaces considering elastic-plastic deformation based on fractal model
Abstract:
In order to study the influence of the microscopic morphology on joint surfaces, it is necessary to consider the elastic-plastic deformation of micro-bulge. Based on the M-B fractal model, the contact fractal models of static friction coefficient with the elastic-plastic deformation considered and not considered are established respectively. Then the models are analysed by changing different characteristic parameters, and the nonlinear relationships between static friction coefficient and characteristic parameters of joint surfaces are revealed. The results show that the static friction coefficient is increased with the normal load and material parameters increase and decreased with the fractal scale parameter increases. And the static friction coefficient is first increased and then decreased with the fractal dimension increase. The static friction coefficients considering elastic-plastic deformation and not are compared. The comparison result reveals that the elastic-plastic deformation has influence on static friction coefficient.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 32-55
Issue: 1
Volume: 32
Year: 2019
Keywords: joint surfaces; elastic-plastic deformation; static friction coefficient; fractal theory; the nonlinear relationships.
File-URL: http://www.inderscience.com/link.php?id=99775
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:1:p:32-55

Template-Type: ReDIF-Article 1.0
Author-Name: Rahul Jain
Author-X-Name-First: Rahul
Author-X-Name-Last: Jain
Author-Name: M.L. Meena
Author-X-Name-First: M.L.
Author-X-Name-Last: Meena
Author-Name: G.S. Dangayach
Author-X-Name-First: G.S.
Author-X-Name-Last: Dangayach
Author-Name: A.K. Bhardwaj
Author-X-Name-First: A.K.
Author-X-Name-Last: Bhardwaj
Title: Effect of individual and work parameters on musculoskeletal health of manual agriculture workers
Abstract:
Musculoskeletal disorders (MSDs) are a major work-related issue for farmers. The aim of the current research is to find out the occurrence and risk factors for MSDs in the manual agriculture workers. A sample of Indian workers was surveyed (N = 138). An information theory method was investigated to determine the comparative feature of mathematical models for a specified group of data collected on MSDs, individual and work parameters. The result from the Akaike information criterion analysis used further to select a model of the extreme fit. Risk Factors associated with MSDs in the final model with 95% bootstrap contained age (40.5%), gender (24.5%), education (5.2%), income satisfaction (10.6%), tool satisfaction (8.4%) and smoking (10.8%). Problem attentions to MSDs are identical in developed and newly industrialised countries. However, factors are not exact similar. Interventions targeted at manual activities for degrading risk factors that furnish to MSDs are necessary.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 56-70
Issue: 1
Volume: 32
Year: 2019
Keywords: agricultural systems; information theory; musculoskeletal disorders; R statistical software.
File-URL: http://www.inderscience.com/link.php?id=99776
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:1:p:56-70

Template-Type: ReDIF-Article 1.0
Author-Name: Parames Chutima
Author-X-Name-First: Parames
Author-X-Name-Last: Chutima
Author-Name: Watcharawit Tanontong
Author-X-Name-First: Watcharawit
Author-X-Name-Last: Tanontong
Title: Two-sided assembly line car sequencing with a fuzzy adaptive extended coincidence algorithm
Abstract:
The car sequencing problem is a constraint satisfaction problem that has attracted the attention of academia and practitioners for many years now. In this paper, the industrial version of the car sequencing problem is extended to reflect more real operations in practice by using a two-sided assembly line instead of classical single-sided one. The fuzzy adaptive extended coincidence algorithm (COIN-F) is developed to optimise the multi-objective car sequencing problem in a Pareto sense. The relative performance of COIN-F is compared against COIN-E, NSGA-II and DPSO. Experimental results demonstrate the effectiveness of COIN-F over the contestant algorithms, especially in the search for the approximate true-Pareto frontier.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 71-102
Issue: 1
Volume: 32
Year: 2019
Keywords: car sequencing; two-sided assembly line; coincidence algorithm COIN; fuzzy adaptive.
File-URL: http://www.inderscience.com/link.php?id=99777
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:1:p:71-102

Template-Type: ReDIF-Article 1.0
Author-Name: Chenghu Jing
Author-X-Name-First: Chenghu
Author-X-Name-Last: Jing
Author-Name: Hongguang Xu
Author-X-Name-First: Hongguang
Author-X-Name-Last: Xu
Title: A novel kind of electrohydraulic loading system based on friction for actuator test
Abstract:
Conventional electric or electrohydraulic load simulator is disturbed by the motion of the tested system. To eliminate the strong motion disturbance and improve loading performance, a novel kind of friction electrohydraulic loading system is proposed. The mechanism of friction electrohydraulic loading system is described in detail. The math model for the loading torque and the input signal has been deduced, which indicates that this proposed friction electrohydraulic loading system has no disturbances resulting from tested actuators under ideal conditions. However, friction coefficient is time-varying and uncertain. The friction device increases the load inertia of the actuator. The additional inertia may affect the loading performance. The structure mechanism has been optimised to reduce the rotary inertia. To verify the loading performance of friction electrohydraulic loading system, simulations and experiments are carried out. Compared with conventional electrohydraulic load simulator, the theoretical analysis and experimental results validate the feasibility of the friction electrohydraulic loading method. The novel friction electrohydraulic load simulator, with a simple control principle and easy engineering constructability, can provide accurate torque simulation for actuator test.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 103-119
Issue: 1
Volume: 32
Year: 2019
Keywords: electrohydraulic system; load simulator; loading system; motion disturbance; extraneous torque; actuator test.
File-URL: http://www.inderscience.com/link.php?id=99778
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:1:p:103-119

Template-Type: ReDIF-Article 1.0
Author-Name: Hsien-Jen Lin
Author-X-Name-First: Hsien-Jen
Author-X-Name-Last: Lin
Title: Integrated supplier-buyer cooperative models with price-dependent demand and process quality improvement under two-part trade credit policy
Abstract:
This paper deals with an integrated supplier-buyer inventory model with process quality improvement where market demand is sensitive to the retail price and the supplier adopts two-part trade credit policy. The model has some insights in order to obtain optimal strategy of a business firm. The objectives of this paper are twofold. Firstly, we want to correct and improve the recently studied model by simultaneously optimising order quantity, defective rate, retail price, and number of shipments from the supplier to the buyer to maximise the joint total profit. Secondly, we consider that the demand rate is retail price dependent and the production rate is finite and proportional to the demand rate to fit the real-life situations. For the proposed model, a computational algorithm is proposed for determining the optimal solution. Furthermore, numerical examples are provided to illustrate the modelling idea and effectiveness of the algorithm. Sensitivity analysis is conducted and some managerial implications are presented.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 120-135
Issue: 1
Volume: 32
Year: 2019
Keywords: integrated inventory model; two-part trade credit; price elasticity; quality improvement; capital investment; credit period; systems engineering.
File-URL: http://www.inderscience.com/link.php?id=99779
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:1:p:120-135

Template-Type: ReDIF-Article 1.0
Author-Name: Matias Siponen
Author-X-Name-First: Matias
Author-X-Name-Last: Siponen
Author-Name: Harri Haapasalo
Author-X-Name-First: Harri
Author-X-Name-Last: Haapasalo
Author-Name: Janne Harkonen
Author-X-Name-First: Janne
Author-X-Name-Last: Harkonen
Title: Maintenance, repair, and operations inventory reduction and operational development
Abstract:
Emphasis on maintenance, repair, and operations inventory (MRO inventory) can lead to improvements in inventory control and productivity while reducing operational costs. This study focuses on different approaches to optimising and reducing spare part inventories by addressing the development of MRO inventory operations and by analysing the development efforts of an urban energy company. The results indicate that typical challenges faced in inventory control are due to inadequate control and management policies and procedures. Three main viewpoints are emphasised to developing spare part inventory operations, with a broad focus, including: material management, supplier management, and information system management. The need to adopt business process management methods to enable successful continuous development of the spare part inventory processes is also highlighted. A potential framework for the MRO inventory management development process is developed as a result of the findings, and the role of correct roles and responsibilities within the organisation is highlighted.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-31
Issue: 1
Volume: 32
Year: 2019
Keywords: inventory; spare part; maintenance, repair and operation; MRO; inventory reduction; industrial and systems engineering; process development; process management.
File-URL: http://www.inderscience.com/link.php?id=99780
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:1:p:1-31

Template-Type: ReDIF-Article 1.0
Author-Name: Caimao Tan
Author-X-Name-First: Caimao
Author-X-Name-Last: Tan
Author-Name: Junliang He
Author-X-Name-First: Junliang
Author-X-Name-Last: He
Author-Name: Hang Yu
Author-X-Name-First: Hang
Author-X-Name-Last: Yu
Author-Name: Yunjie Tang
Author-X-Name-First: Yunjie
Author-X-Name-Last: Tang
Title: Modelling the problem of yard crane deployment for resource-limited container terminal
Abstract:
With the bottleneck of container port has moved from the quay side to the yard area, the operational efficiency of yard crane is becoming increasingly significant to the container terminal. This article studies on the modelling of yard crane (YC) deployment for resource-limited container terminal. Firstly, the models for the basic yard crane deployment are proposed, which include the basic network flow model and the basic mathematical model. Secondly, the extended models are formulated, which can be utilised to deal with the deployment of multi-type yard cranes. Finally, numerical experiments are conducted to verify the effectiveness of the proposed models, e.g., functional test, performance analysis and scenario analysis.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 137-169
Issue: 2
Volume: 32
Year: 2019
Keywords: container terminal operation; yard crane deployment; network flow; resource limited; multi-type yard cranes.
File-URL: http://www.inderscience.com/link.php?id=100161
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:2:p:137-169

Template-Type: ReDIF-Article 1.0
Author-Name: Siddharth Mahajan
Author-X-Name-First: Siddharth
Author-X-Name-Last: Mahajan
Author-Name: Krishna Sundar Diatha
Author-X-Name-First: Krishna Sundar
Author-X-Name-Last: Diatha
Title: On supply chain contracts as risk sharing mechanisms
Abstract:
In this paper, we consider risk and return in the buyback contract and the revenue sharing contract. Risk is measured by the variability in profits and return by average profits. We analyse the two firms in the supply chain using the Newsboy inventory model and standard results related to modelling of buyback contracts and revenue sharing contracts. We also use simulation. We show that the two contracts represent an opportunity for the manufacturer to increase return at the expense of taking a moderate risk. For the retailer, it is possible to benefit both ways in the two contracts. We show numerically that he can simultaneously get a higher return and a lower risk by entering into the two contracts. The manufacturer's risk always gets increased with the two contracts. The retailer's risk can get increased or lowered with the contracts. If the contract parameters are chosen such that the retailer's risk gets lowered, then the contracts act as risk sharing mechanisms. They lower the higher risk of the retailer and transfer some of it to the manufacturer.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 170-183
Issue: 2
Volume: 32
Year: 2019
Keywords: inventory; supply chain coordination; buyback contract; revenue sharing contract; risk and return.
File-URL: http://www.inderscience.com/link.php?id=100162
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:2:p:170-183

Template-Type: ReDIF-Article 1.0
Author-Name: Emmanuel D. Adamides
Author-X-Name-First: Emmanuel D.
Author-X-Name-Last: Adamides
Author-Name: Dimitrios P. Koumanakos
Author-X-Name-First: Dimitrios P.
Author-X-Name-Last: Koumanakos
Author-Name: Vasilis Hadjipandelis
Author-X-Name-First: Vasilis
Author-X-Name-Last: Hadjipandelis
Title: Sequencing platform derivatives under operational and market constraints
Abstract:
Although there has been considerable amount of research on the design of product platforms, not much research has been pursued on how to exploit platform designs in changing business environments. Related to the latter issue is the problem of planning the sequence of platform derivatives launchings that corresponds best to market requirements and satisfies the operations constrains imposed by the platform design and the firm's strategy. This paper addresses this problem and proposes a method for planning the introduction of a platform's derivatives to market. The method is based on the assessment of the sequence of <i>moves</i> (switching) between product-segment pairs by using an integrated hypernetwork-based representation of the knowledge related to the products, operations and market(s).
Journal: Int. J. of Industrial and Systems Engineering
Pages: 184-211
Issue: 2
Volume: 32
Year: 2019
Keywords: product-launch sequencing; platform products; operations strategy; operations-marketing interface.
File-URL: http://www.inderscience.com/link.php?id=100163
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:2:p:184-211

Template-Type: ReDIF-Article 1.0
Author-Name: Kanokwan Singha
Author-X-Name-First: Kanokwan
Author-X-Name-Last: Singha
Author-Name: Jirachai Buddhakulsomsiri
Author-X-Name-First: Jirachai
Author-X-Name-Last: Buddhakulsomsiri
Author-Name: Parthana Parthanadee
Author-X-Name-First: Parthana
Author-X-Name-Last: Parthanadee
Title: Computational experiment of methods to determine periodic (<i>R</i>, <i>Q</i>) inventory policy parameters: a case study of information decentralised distribution network
Abstract:
This paper presents a case study of inventory management at distribution centre for hundreds of herbal products in Thailand. Differences in multiple products are characterised in terms of movement and demand variation. The incoming lead time from the manufacturer is time varying. The distribution network is information decentralised such that the distribution centres use replenishment orders from over 2,200 stores and hospitals to represent the end-customer demand. With the lack of real time inventory control system, the distribution centres implement a periodic (&lt;i&gt;R&lt;/i&gt;, &lt;i&gt;Q&lt;/i&gt;) policy for each item. The challenge is to properly set the parameters of the inventory policy for each product to minimise the total inventory management cost. Five methods with different degrees of computational requirement are implemented. An enumeration distribution is used to model the demand during varying lead time due to the lack of fits of widely used probability distributions. A computational experiment on the case study data is performed where method performance is evaluated through simulation. Statistical analysis of the results is conducted to identify the most effective methods to determine the inventory policy parameters.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 212-242
Issue: 2
Volume: 32
Year: 2019
Keywords: inventory control; iterative approach; distribution network; stochastic demand; varying lead time.
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:2:p:212-242

Template-Type: ReDIF-Article 1.0
Author-Name: Ahmed Maged
Author-X-Name-First: Ahmed
Author-X-Name-Last: Maged
Author-Name: Salah Haridy
Author-X-Name-First: Salah
Author-X-Name-Last: Haridy
Author-Name: Saleh Kaytbay
Author-X-Name-First: Saleh
Author-X-Name-Last: Kaytbay
Author-Name: Nadia Bhuiyan
Author-X-Name-First: Nadia
Author-X-Name-Last: Bhuiyan
Title: Continuous improvement of injection moulding using Six Sigma: case study
Abstract:
Plastic injection moulding is considered as one of the very challenging processes to obtain output with a good quality and low cost. This paper presents a case study of the deployment of Six Sigma in plastic injection moulding to improve the quality of the final product by eliminating major defects occurred using cost effective methods. The main objective is to identify the major quality problems and to eliminate root causes by adopting Six Sigma define, measure, analyse, improve and control (DMAIC) methodology. The proposed Six Sigma approach effectively integrates quantitative and qualitative tools such as statistical process control (SPC) charts, Pareto chart, histogram, Ishikawa diagram, measurement system analysis, hypothesis test and checklist to achieve the desired goal. The results reveal that the implementation of the proposed Six Sigma approach can reduce the rejection rate significantly. It is found that the quality of the final products is substantially improved in terms of sigma level which increased from 4.06 to 4.5 and the cost of poor quality (COPQ) is reduced by 45%.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 243-266
Issue: 2
Volume: 32
Year: 2019
Keywords: Six Sigma; define&#44; measure&#44; analyse&#44; improve and control; DMAIC; statistical process control; SPC; injection moulding.
File-URL: http://www.inderscience.com/link.php?id=100165
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:2:p:243-266

Template-Type: ReDIF-Article 1.0
Author-Name: Tian-Chi Zheng
Author-X-Name-First: Tian-Chi
Author-X-Name-Last: Zheng
Author-Name: Zi-Xue Qiu
Author-X-Name-First: Zi-Xue
Author-X-Name-Last: Qiu
Author-Name: Jian-Xin Shao
Author-X-Name-First: Jian-Xin
Author-X-Name-Last: Shao
Author-Name: Guan Lu
Author-X-Name-First: Guan
Author-X-Name-Last: Lu
Author-Name: Jiang Yuan
Author-X-Name-First: Jiang
Author-X-Name-Last: Yuan
Title: Design and experimental analysis for quantitative glue-pouring system of aluminium electrolytic capacitor
Abstract:
Aiming at the problems existing in the glue-pouring process of capacitor aluminium shell, such as glue solution uneven heating, glue easy carbonization, low accuracy of glue-pouring and so on, a new method for quantitative glue-pouring of aluminium shell is proposed. The quantitative glue-pouring system of aluminium electrolytic capacitor is designed, including melt glue machine, gear pump, quantitative glue-pouring mechanism, human-machine interface, PID intelligent temperature control unit and so on, and the mechanical structure of the melt glue machine and quantitative glue-pouring mechanism are designed in detail. Incremental PID intelligent temperature control unit is introduced, and the simulation analysis of the temperature control system is conducted, the simulation results show that the temperature control has high precision and good adaptability; and the experimental analysis of aluminium electrolytic capacitor quantitative glue-pouring system is carried out, the analysis results show that the system has high precision and good stability. The system has been put into practical production use, operation results show that the maximum error of the system is 1.2%, which meets the requirement of quantitative glue-pouring for aluminium shell, and the system has good practical application value.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 287-303
Issue: 3
Volume: 32
Year: 2019
Keywords: aluminium electrolytic capacitor; aluminium shell; quantitative glue-pouring; experimental analysis; PID control.
File-URL: http://www.inderscience.com/link.php?id=101111
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:3:p:287-303

Template-Type: ReDIF-Article 1.0
Author-Name: Carina Pimentel
Author-X-Name-First: Carina
Author-X-Name-Last: Pimentel
Author-Name: Sandra Martins
Author-X-Name-First: Sandra
Author-X-Name-Last: Martins
Author-Name: João Matias
Author-X-Name-First: João
Author-X-Name-Last: Matias
Title: Job shop production system to a manufacturing cellular system: an action research study
Abstract:
Organisations are motivated to improve their production flow. This is achieved by a better use of resources, including equipment, people, and materials. The process of changing production systems is a priority for manufacturers in order to make production more efficient. Cellular manufacturing systems provide several different kinds of benefit over traditional production systems, allowing better customer satisfaction. This paper describes a real company changing process from a job shop production system to a manufacturing cellular system, using simple but effective lean practices and tools and following an action research methodology. The achievements obtained by the introduction of the manufacturing cellular system are presented, and compared with the previous system. The improvements achieved were substantial in terms of production organisation, production levels, quality levels, customer satisfaction and workers' self-esteem. Careful selections of the parts and of the human resources are two critical factors for success.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 267-286
Issue: 3
Volume: 32
Year: 2019
Keywords: job shop; cellular manufacturing; lean manufacturing; lean practices and tools; action research; trial technique.
File-URL: http://www.inderscience.com/link.php?id=101114
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:3:p:267-286

Template-Type: ReDIF-Article 1.0
Author-Name: Ankit Sharma
Author-X-Name-First: Ankit
Author-X-Name-Last: Sharma
Author-Name: A.K. Jha
Author-X-Name-First: A.K.
Author-X-Name-Last: Jha
Title: Layout design optimisation with point cloud object modelling for multi-robot industrial working cell
Abstract:
The paper proposes a multi-robot cell design method by integrating the concepts of computer aided design, optimisation and point cloud modelling in the layout planning problem. The point cloud data of machines and robots have been used through a MATLAB programming interface to generate the optimal layout design. The minimum angular displacement of robot joints is the optimisation criterion, and axis align bounding box collision detection method has been used to obtain accurate solutions. The developed layout is validated against the data collected from an industrial robotic cell.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 363-381
Issue: 3
Volume: 32
Year: 2019
Keywords: multi-robot cell; MRC; optimisation; point cloud modelling; CAD.
File-URL: http://www.inderscience.com/link.php?id=101116
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:3:p:363-381

Template-Type: ReDIF-Article 1.0
Author-Name: Amir T. Payandeh Najafabadi
Author-X-Name-First: Amir T. Payandeh
Author-X-Name-Last: Najafabadi
Author-Name: Mansoureh Sakizadeh
Author-X-Name-First: Mansoureh
Author-X-Name-Last: Sakizadeh
Title: Designing an optimal bonus-malus system using the number of reported claims, steady-state distribution, and mixture claim size distribution
Abstract:
This article, in a first step, considers two Bayes estimators for the relativity premium of a given bonus-malus system. It then develops a linear relativity premium that closes, in the sense of weighted mean square error loss, to such Bayes estimators. In a second step, it supposes that the claim size distribution for a given bonus-malus system can be formulated as a finite mixture distribution. It then evaluates the base premium under a Bayesian framework for such a finite mixture distribution. The Loimaranta efficiency of such a linear relativity premium, for several bonus-malus systems, has been compared with two Bayes and ordinary linear relativity premiums.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 304-331
Issue: 3
Volume: 32
Year: 2019
Keywords: bonus-malus system; relativity premium; Bayes estimator; weighted mean square error; Loimaranta efficiency.
File-URL: http://www.inderscience.com/link.php?id=101117
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:3:p:304-331

Template-Type: ReDIF-Article 1.0
Author-Name: Mohit Gaur
Author-X-Name-First: Mohit
Author-X-Name-Last: Gaur
Author-Name: Mohammad Muzammil
Author-X-Name-First: Mohammad
Author-X-Name-Last: Muzammil
Title: User value analysis of a two wheeler (scooter)
Abstract:
In the present research, user value elements of a two wheeler (scooter) were excerpted from life value elements using a survey sampling method. A total of 32 subjects participated in the study. The subjects were divided in three groups, namely male, female and a group comprising both male and female scooter drivers. An online survey was carried out to extract user value elements from life value elements. The data collected was analysed using IBM SPSS statistical software. The results of the study showed that there were 25 user value elements for a scooter. These were comfort, competence, satisfaction, independence, cheer, convenience, intelligence, salvation, family security, cleanliness, money, freedom, logic, accomplishment, trust, self-control, social recognition, justice, courage, ambition, confidence, responsibility, individuality, appearance, and happiness. Also the frequency of occurrence of the three life value elements namely convenience, accomplishment and creativity was higher when compared with other life value elements.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 332-362
Issue: 3
Volume: 32
Year: 2019
Keywords: value analysis; user acquaintance; life value elements; two wheeler; user value element.
File-URL: http://www.inderscience.com/link.php?id=101118
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:3:p:332-362

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: Yanfei Lu
Author-X-Name-First: Yanfei
Author-X-Name-Last: Lu
Author-Name: Nan Li
Author-X-Name-First: Nan
Author-X-Name-Last: Li
Author-Name: Chaokai Wen
Author-X-Name-First: Chaokai
Author-X-Name-Last: Wen
Title: Research on TBF distribution model of circular tool magazine and ATC
Abstract:
Tool magazine and automatic tool changer (ATC) is one of the most important function units of a machining centre and its reliability directly influences the reliability of the machining centre. Failure analysis is the basic work in reliability study. So far, there are few studies on failure of the tool magazine and ATC. Based on the failure data obtained from the field tracing of a kind of circular tool magazine and ATC, the probability density function, the distribution function and failure function of time between failures (TBF) of the tool magazine and ATC are calculated. It is preliminarily assumed that the TBF of the circular tool magazine and ATC obey Weibull distribution. Parameter estimation and hypothesis testing of the Weibull distribution model are done. Finally, the effectiveness of the model is verified. The work can provide a reference for failure prediction of circular tool magazine and ATC.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 382-404
Issue: 3
Volume: 32
Year: 2019
Keywords: circular tool magazine; automatic tool changer; ATC; time between failures; TBF; distribution model; linear relation testing; hypothesis testing.
File-URL: http://www.inderscience.com/link.php?id=101120
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:3:p:382-404

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammed M. El-Beheiry
Author-X-Name-First: Mohammed M.
Author-X-Name-Last: El-Beheiry
Author-Name: Khaled S. Abdallah
Author-X-Name-First: Khaled S.
Author-X-Name-Last: Abdallah
Title: Developed priority rules support system for ELSP: a case study
Abstract:
Economic lot size scheduling problem (ELSP) is one of the most challenging problems in production and operation management. Although studied extensively in the literature, yet it is still one of the major topics in scheduling research. ELSP with its various configurations can be found in many industrial fields. In this paper, a producer of fast moving consumer goods (FMCG) is considering this decision. The company has a production line producing a range of products having dependent changeover cost. It is required to determine the production schedule and lot size that minimise the total cost. A new heuristic model is developed that uses different priority rules to find the best lot size that minimises the total cost. The new model is then simulated to analyse and compare the performance for the different rules with different lot size. The results of the case study used show that choosing the scheduling policy relies on a suggested cost ratio threshold which is a function of the cost parameters of the operation. The effect of different cost parameters on the performance of different priority rules is also discussed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 405-423
Issue: 4
Volume: 32
Year: 2019
Keywords: economic lot size scheduling problem; ELSP; priority rules; simulation; FMCG scheduling.
File-URL: http://www.inderscience.com/link.php?id=101330
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:4:p:405-423

Template-Type: ReDIF-Article 1.0
Author-Name: Maysam Khodayari
Author-X-Name-First: Maysam
Author-X-Name-Last: Khodayari
Author-Name: Jafar Razmi
Author-X-Name-First: Jafar
Author-X-Name-Last: Razmi
Author-Name: Reza Babazadeh
Author-X-Name-First: Reza
Author-X-Name-Last: Babazadeh
Title: An integrated fuzzy analytical network process for prioritisation of new technology-based firms in Iran
Abstract:
The performance evaluation and prioritisation of knowledge-based firms which are working in science and technology parks enable the decision makers (DMs) to specify the benchmarks (the best firms) and grant them or help other firms to improve their performance. In this paper, the performance of new technology-based firms (NTBFs) in Iran is evaluated through a multi-criteria decision-making method. To do so, at the first the most important criteria to assess the performance of the NTBFs are proposed according to the literature and experts' opinions. Then, due to complex relationship and correlation among these criteria, an integrated fuzzy analytic network process (ANP) is proposed to evaluate NTBFs under uncertainty of evaluation parameters. The results show that the applied approach is a suitable tool for prioritisation of NTBFs.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 424-442
Issue: 4
Volume: 32
Year: 2019
Keywords: new technology-based firms; science and technology parks; analytic network process; ANP; fuzzy set theory; performance evaluation and prioritisation; Iran.
File-URL: http://www.inderscience.com/link.php?id=101331
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:4:p:424-442

Template-Type: ReDIF-Article 1.0
Author-Name: Naveen Kumar
Author-X-Name-First: Naveen
Author-X-Name-Last: Kumar
Author-Name: Pankaj Chandna
Author-X-Name-First: Pankaj
Author-X-Name-Last: Chandna
Author-Name: Dheeraj Joshi
Author-X-Name-First: Dheeraj
Author-X-Name-Last: Joshi
Title: Integrated scheduling of part, tool and automated guided vehicles in a flexible manufacturing system using modified genetic algorithm
Abstract:
Scheduling of part and tools without considering material handling devices may result into non-implementable results as the material handling system constraints affect the overall scheduling. In this paper, an attempt has been made for the simultaneous scheduling of part, tool and two automated guided vehicles (AGVs) in a flexible manufacturing system which has identical machines with no on-board tool magazine. All the tools are stored in a common tool magazine and are shared among different machines through a material handling system. Each tool type is single in number. The problem has two interrelated problems; one as loading and scheduling of part and tool and other as scheduling of AGVs. Two heuristics namely priority dispatching rules (PDRs) and modified genetic algorithm (MGA) with three parent crossover are used to find the optimal solution to the integrated scheduling problem. Both PDRs and MGA use an algorithm based on the concept of Giffler and Thompson procedure and a heuristic approach to generate the active feasible schedule. The performance of the two proposed algorithm is compared for the results of makespan. It was found that the MGA gives better results.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 443-468
Issue: 4
Volume: 32
Year: 2019
Keywords: integrated scheduling; flexible manufacturing system; modified genetic algorithm; MGA; automated guided vehicle; AGV; makespan.
File-URL: http://www.inderscience.com/link.php?id=101332
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:4:p:443-468

Template-Type: ReDIF-Article 1.0
Author-Name: Marcello Braglia
Author-X-Name-First: Marcello
Author-X-Name-Last: Braglia
Author-Name: Davide Castellano
Author-X-Name-First: Davide
Author-X-Name-Last: Castellano
Author-Name: Marco Frosolini
Author-X-Name-First: Marco
Author-X-Name-Last: Frosolini
Author-Name: Mosè Gallo
Author-X-Name-First: Mosè
Author-X-Name-Last: Gallo
Title: Integrating considerations of uncertainty within the OEE of a manufacturing line
Abstract:
Lean manufacturing has become a paramount production paradigm in many industrial sectors and overall equipment effectiveness (OEE) is a widely accepted and adopted lean metric for any type of machine/equipment. However, the standard OEE formulation presents two important limits: 1) it deals with a single machine; 2) gives a deterministic measure of effectiveness. The objective of this paper is to overcome both of these two shortcomings by proposing a Fuzzy approach for measuring the OEE of a manufacturing line (OEEML). Hence, starting from a possible definition of OEEML, this paper provides a framework to measure its modal value and its variability on an entire manufacturing line. The approach exploits fuzzy triangular numbers instead of burdensome stochastic quantities to measure this variability. Furthermore, it integrates a method which enables us to avoid the annoying 'overestimation effect' of FTNs. The integrated approach has proved to be useful in consistently capturing the OEEML variations, also, both the modal value and the range obtained from its application are good estimators of both the OEEML and its variability. A full case study is finally provided to show the effectiveness of the proposed approach in diagnosing problems and addressing improvement actions.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 469-496
Issue: 4
Volume: 32
Year: 2019
Keywords: lean manufacturing; overall equipment effectiveness; OEE; stochastic; variability; manufacturing line; fuzzy triangular numbers; FTNs; overestimation.
File-URL: http://www.inderscience.com/link.php?id=101333
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:4:p:469-496

Template-Type: ReDIF-Article 1.0
Author-Name: Kumar Abhishek
Author-X-Name-First: Kumar
Author-X-Name-Last: Abhishek
Author-Name: V. Rakesh Kumar
Author-X-Name-First: V. Rakesh
Author-X-Name-Last: Kumar
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
Title: An integrated multi-response optimisation route combining principal component analysis, fuzzy inference system, nonlinear regression and JAYA algorithm: a case experimental study on machining of GFRP (epoxy) composites
Abstract:
Machining (drilling) operations have been performed on glass fibre reinforced polymer (GFRP) (epoxy) composites. The work intended to evaluate the most favourable setting of controllable process parameters which could simultaneously satisfy multi-requirements of process performance yield; in view of product quality as well as productivity. During drilling, three process parameters viz. drill rotational speed, feed rate and drill diameter have been considered to optimise thrust, torque and delamination factor (entry and exit both), simultaneously. Owing to the limitations of traditional Taguchi method-based optimisation approaches, the study proposes an integrated optimisation module combining principal component analysis (PCA), fuzzy inference system (FIS), nonlinear regression and JAYA algorithm towards optimising correlated multi-response features during machining of GFRP (epoxy) composites. JAYA is parameter (algorithm-specific)-less algorithm; which is used to solve constrained and unconstrained optimisation problems. Application potential of the aforesaid integrated optimisation route has been compared to that of teaching-learning-based optimisation (TLBO) algorithm; good agreement has been observed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 497-525
Issue: 4
Volume: 32
Year: 2019
Keywords: glass fibre reinforced polymer; GFRP; Taguchi method; principal component analysis; PCA; fuzzy inference system; FIS; nonlinear regression; JAYA algorithm; teaching-learning-based optimisation algorithm; TLBO.
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Handle: RePEc:ids:ijisen:v:32:y:2019:i:4:p:497-525

Template-Type: ReDIF-Article 1.0
Author-Name:  Kailash
Author-X-Name-First: 
Author-X-Name-Last: Kailash
Author-Name: Rajeev Kumar Saha
Author-X-Name-First: Rajeev Kumar
Author-X-Name-Last: Saha
Author-Name: Sanjeev Goyal
Author-X-Name-First: Sanjeev
Author-X-Name-Last: Goyal
Title: Benchmarking model to analyse ISCM performance of selected Indian manufacturing industries using fuzzy AHP technique
Abstract:
Competing globally with world class industries, Indian manufacturing industries need to brace itself with benchmarking models and continuous self-improvement. Internal supply chain management (ISCM) performance may be focused in particular to create a niche over others. Proper understanding of key performance indicators of ISCM is necessary to analyse the gaps. A suitable methodology is also required to interpret the loopholes in order to remove them. A combined approach of fuzzy logic and analytic hierarchy process (AHP) technique is used for better result of theoretical benchmarking model. Comparison control bar charts are also used to view the performance gap between internal supply chains of selected manufacturing competitors. The primary purpose of this paper is to identify worst performance measures by implementation of benchmarking model, fuzzy logic and AHP methodology.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-16
Issue: 1
Volume: 33
Year: 2019
Keywords: internal supply chain management; ISCM; key performance indicators; KPI's; benchmarking model; fuzzy logic; multi criteria decision making; MCDM; analytic hierarchy process technique; AHP technique.
File-URL: http://www.inderscience.com/link.php?id=102038
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:1-16

Template-Type: ReDIF-Article 1.0
Author-Name: R.K. Tiwari
Author-X-Name-First: R.K.
Author-X-Name-Last: Tiwari
Author-Name: Jeetendra Kumar Tiwari
Author-X-Name-First: Jeetendra Kumar
Author-X-Name-Last: Tiwari
Title: Identification of key lean practices within Indian automotive SMEs environment
Abstract:
Indian small and medium-sized enterprises (SMEs) are facing stiff competition both in and out of the county by the big players in particular. Indian SMEs are suffering from scarcity of vital resources and latest technical knowhow. It's imperative for them to use resources judiciously by implementing lean manufacturing. It's not feasible for SMEs to implement all the lean practices like big players. The objective of current study is to identify key lean practices for the Indian automotive SMEs to reap the maximum benefits out of it. Factor analysis was applied to identify independent lean practices because the various lean practices suggested by the different researchers were found overlapping and confusing in nature. Multiple regression analysis is used to identify the key lean practices which Indian SMEs can afford and must implement. Customer involvement is the most important lean practice followed by problem identification and prevention, total productive maintenance, and others.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 17-37
Issue: 1
Volume: 33
Year: 2019
Keywords: lean manufacturing; key lean practices; factor analysis; multiple regression; sustainable strategic advantages; Indian automotive SMEs.
File-URL: http://www.inderscience.com/link.php?id=102040
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:17-37

Template-Type: ReDIF-Article 1.0
Author-Name: M. Cecilia Fernández
Author-X-Name-First: M. Cecilia
Author-X-Name-Last: Fernández
Author-Name: Maria Nadia Pantano
Author-X-Name-First: Maria Nadia
Author-X-Name-Last: Pantano
Author-Name: Santiago Rómoli
Author-X-Name-First: Santiago
Author-X-Name-Last: Rómoli
Author-Name: H. Daniel Patiño
Author-X-Name-First: H. Daniel
Author-X-Name-Last: Patiño
Author-Name: Oscar Alberto Ortiz
Author-X-Name-First: Oscar Alberto
Author-X-Name-Last: Ortiz
Author-Name: Gustavo J.E. Scaglia
Author-X-Name-First: Gustavo J.E.
Author-X-Name-Last: Scaglia
Title: An algebra approach for nonlinear multivariable fed-batch bioprocess control
Abstract:
In this paper, a linear algebra-based controller design is proposed. This technique allows tracking, with minimum error, predefined optimal profiles in nonlinear and multivariable systems. To achieve this, control actions are obtained by solving a linear equation system. The controller parameters are selected with a Monte Carlo algorithm. The methodology is applied in a fed-batch penicillin production process, where the control action is the feed flow rate and the tracked profiles are the concentration of biomass, product and subtract inside the reactor. Different tests are shown to prove the good performance of the controller adding: parametric uncertainty and perturbations in the control action and in the initial conditions
Journal: Int. J. of Industrial and Systems Engineering
Pages: 38-57
Issue: 1
Volume: 33
Year: 2019
Keywords: nonlinear dynamics control; fed-batch fermentation; penicillin production; profiles tracking control.
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:38-57

Template-Type: ReDIF-Article 1.0
Author-Name: Saeed Abdolmaleki
Author-X-Name-First: Saeed
Author-X-Name-Last: Abdolmaleki
Author-Name: Sajjad Shokouhyar
Author-X-Name-First: Sajjad
Author-X-Name-Last: Shokouhyar
Author-Name: Masoud Kasaee
Author-X-Name-First: Masoud
Author-X-Name-Last: Kasaee
Title: Simulation-based optimisation model for paired-cells overlapping loops of cards with authorisation system
Abstract:
Companies with high variety of high-mix products are interested in having smoother production flow to cope with tardiness, to this end, they have been looking for an effective production and material flow control (PMFC) system to gain competitive advantages. In practice, paired-cells overlapping loops of cards with authorisation (POLCA) system has had a great remarkable success. This paper deals with a simulation-optimisation approach to evaluate POLCA control system in workshops before implementing it.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 58-74
Issue: 1
Volume: 33
Year: 2019
Keywords: discrete event simulation; POLCA; optimisation.
File-URL: http://www.inderscience.com/link.php?id=102043
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:58-74

Template-Type: ReDIF-Article 1.0
Author-Name: Rossella Pozzi
Author-X-Name-First: Rossella
Author-X-Name-Last: Pozzi
Author-Name: Margherita Pero
Author-X-Name-First: Margherita
Author-X-Name-Last: Pero
Author-Name: Roberto Cigolini
Author-X-Name-First: Roberto
Author-X-Name-Last: Cigolini
Author-Name: Francesco Zaglio
Author-X-Name-First: Francesco
Author-X-Name-Last: Zaglio
Author-Name: Tommaso Rossi
Author-X-Name-First: Tommaso
Author-X-Name-Last: Rossi
Title: Using simulation to reshape the maintenance systems of caster segments
Abstract:
The maintenance of steel mills has a relevant impact on costs and productivity of steel industry. According to the traditional approach, one crew per shift takes care of the maintenance of key components of the slab caster with very limited process control, productivity and long lead-times. This paper introduces a new approach that makes each component move along a line where specific attention has to be paid to shared resources. The methodological approach is based on simulation, which has been applied to a real-life case study, represented by a leading Indian steel mill. Simulation is exploited, first, to point out the effect of the concurrent requirement of resources, demonstrating that a static sizing can lead to wrong designs, then, to properly consider the variance of execution times. Results show that caster maintenance arranged in a line designed according to the proposed methodology remarkably contributes to speed up the maintenance process.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 75-96
Issue: 1
Volume: 33
Year: 2019
Keywords: simulation; maintenance; steel mills; flow line.
File-URL: http://www.inderscience.com/link.php?id=102047
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:75-96

Template-Type: ReDIF-Article 1.0
Author-Name: Midhun Paul
Author-X-Name-First: Midhun
Author-X-Name-Last: Paul
Author-Name: R. Sridharan
Author-X-Name-First: R.
Author-X-Name-Last: Sridharan
Author-Name: T. Radha Ramanan
Author-X-Name-First: T. Radha
Author-X-Name-Last: Ramanan
Title: Scheduling an assembly job shop production system with multiple objectives: a simulation study
Abstract:
This paper presents the salient aspects of the performance analysis of two mechanisms for shop floor control namely, order review/release (ORR) and dispatching rules in an assembly job shop system in a multi-objective environment. A simulation model of an assembly job shop is developed for experimentation with eight dispatching rules and four ORR mechanisms from the literature. An ORR policy based on the concept of backward scheduling and interval release is developed and incorporated in the simulation model. Grey relational analysis is used for ranking the ORR policy-dispatching rule combinations. Multivariate and univariate hypotheses are developed. The results are analysed using ANOVA and MANOVA. The analysis of results reveals that integrating dispatching rules with ORR policies provides better system performance than using dispatching rules alone. The proposed ORR policy namely, backward scheduling with interval release policy provides better results than other ORR polices.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 97-128
Issue: 1
Volume: 33
Year: 2019
Keywords: assembly job shop; AJS; simulation; scheduling; multi-objective; grey relational analysis; GRA.
File-URL: http://www.inderscience.com/link.php?id=102049
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:97-128

Template-Type: ReDIF-Article 1.0
Author-Name: Anu Mehra
Author-X-Name-First: Anu
Author-X-Name-Last: Mehra
Author-Name: Vinay Verma
Author-X-Name-First: Vinay
Author-X-Name-Last: Verma
Author-Name: Rana Majumdar
Author-X-Name-First: Rana
Author-X-Name-Last: Majumdar
Author-Name: Nidhi Gaur
Author-X-Name-First: Nidhi
Author-X-Name-Last: Gaur
Author-Name: Alok Kumar
Author-X-Name-First: Alok
Author-X-Name-Last: Kumar
Author-Name: Ansh Awasthi
Author-X-Name-First: Ansh
Author-X-Name-Last: Awasthi
Author-Name: Chanda Pandey
Author-X-Name-First: Chanda
Author-X-Name-Last: Pandey
Title: Comparative analysis of different Vedic algorithms for 8 &#215; 8 binary multipliers
Abstract:
Multipliers are the basic building blocks of various processors; arithmetic and logical unit and they are widely used in digital signal processing and image processing applications such as convolution, DWT, DCT. In this paper, four separate algorithms for designing binary multipliers are adopted from the ancient Indian Book of Wisdom &lt;i&gt;Sthapatya-veda (an Upa-veda of Atharvaveda)&lt;/i&gt;. The current work mainly focuses on comparing the power, delay, look up table (LUT), noise margin of different multiplier algorithms using various sutra's of Vedic mathematics which has been implemented on Virtex 7 Board 1.1, using Xilinx Vivado version 14.2.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 129-140
Issue: 2
Volume: 33
Year: 2019
Keywords: delay; look up table; LUT; power; Vedic multiplier.
File-URL: http://www.inderscience.com/link.php?id=102466
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:129-140

Template-Type: ReDIF-Article 1.0
Author-Name: Maria Hulett
Author-X-Name-First: Maria
Author-X-Name-Last: Hulett
Author-Name: Purushothaman Damodaran
Author-X-Name-First: Purushothaman
Author-X-Name-Last: Damodaran
Title: Analytical approximations to predict order picking times at a warehouse
Abstract:
The primary objective of this research was to develop analytical approximations to predict the time taken to complete a customer order in a warehouse. The problem under study was modelled as a network of queues and the parametric decomposition approach was adopted to develop the approximations. Under this method, the queuing network is decomposed into individual queues allowing to analyse single (i.e., customer order processing, pallet building, and re-pick process) and fork-join stations (i.e., order picking with synchronisation constraints) within the same framework. Analytical formulations to estimate order picking times were developed and compared with equivalent simulation models to estimate the accuracy of the formulations. Appropriate correction terms were also developed to bridge the gap between the analytical approximations and the simulation models. The experimental study conducted indicates that the analytical approximations along with the correction terms can serve as a good estimate for the order picking times in a warehouse.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 141-161
Issue: 2
Volume: 33
Year: 2019
Keywords: queuing networks; parametric decomposition approach; fork and join queues; warehouse order picking.
File-URL: http://www.inderscience.com/link.php?id=102468
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:141-161

Template-Type: ReDIF-Article 1.0
Author-Name: Sérgio Manuel Oliveira Vieira
Author-X-Name-First: Sérgio Manuel Oliveira
Author-X-Name-Last: Vieira
Author-Name: Rui Borges Lopes
Author-X-Name-First: Rui Borges
Author-X-Name-Last: Lopes
Title: Improving production systems with lean: a case study in a medium-sized manufacturer
Abstract:
Lean principles and tools have been increasingly employed in companies across several sectors, with numerous successful implementations both inside and outside production environments. In the case of Portuguese companies, few works have reported the application and corresponding results of lean, and even fewer focusing on small and medium sized companies. This work presents a case study of an implementation of several lean principles and tools in the production sector of a Portuguese medium-sized screw cap manufacturer. Visual management, A3 thinking, and single-minute exchange of die (SMED) were employed to identify and reduce inefficiencies and waste in the shop floor. The implementation of these principles and tools is detailed, showcasing the necessary adjustments for being correctly embedded in the company's culture. Qualitative and quantitative results are presented concerning the case study, where a continuous improvement culture was adhered to and a significant gain in productivity could be observed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 162-180
Issue: 2
Volume: 33
Year: 2019
Keywords: lean tools; case study; bottle cap industry.
File-URL: http://www.inderscience.com/link.php?id=102469
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:162-180

Template-Type: ReDIF-Article 1.0
Author-Name: Watchara Songserm
Author-X-Name-First: Watchara
Author-X-Name-Last: Songserm
Author-Name: Teeradej Wuttipornpun
Author-X-Name-First: Teeradej
Author-X-Name-Last: Wuttipornpun
Title: MIP-based heuristic algorithm for finite capacity MRP problem in hybrid flow shop with unrelated parallel machines
Abstract:
A main drawback of the material requirement planning (MRP) system is that it assumes fixed lead time, resulting in capacity problems recently called finite capacity material requirement planning (FCMRP). This paper proposes a mixed integer programming (MIP)-based heuristic algorithm that can solve the industrial scale FCMRP problem in hybrid flow shop with unrelated parallel machines. The heuristic is applied to construct an initial sequence of operations, whereas the MIP model is applied to determine the optimal machines and start times for the operations based on the initial sequence. The objective is to minimise the total cost, defined as the sum of tardiness, earliness, idle time, and work in process (WIP) holding costs. Performances of the proposed algorithm are evaluated using real data from automotive industries. The result shows that the total cost of the proposed algorithm are substantially reduced compared with the recent FCMRP algorithm (HGATS). Moreover, the required runtime is within a practical limit.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 181-203
Issue: 2
Volume: 33
Year: 2019
Keywords: mixed integer programming; MIP; finite capacity material requirement planning; FCMRP; hybrid flow shop; unrelated parallel machines; application in industry.
File-URL: http://www.inderscience.com/link.php?id=102470
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:181-203

Template-Type: ReDIF-Article 1.0
Author-Name: Panagiotis-Petros Matthopoulos
Author-X-Name-First: Panagiotis-Petros
Author-X-Name-Last: Matthopoulos
Author-Name: Stella Sofianopoulou
Author-X-Name-First: Stella
Author-X-Name-Last: Sofianopoulou
Title: A firefly algorithm for the heterogeneous fixed fleet vehicle routing problem
Abstract:
Vehicle routing is a key success factor in logistics problems. A variation of vehicle routing problem (VRP), the heterogeneous fixed fleet VRP in which the vehicles available for distribution activities are characterised by different capacities and costs, is tackled. A hybrid firefly algorithm for optimising the routing of heterogeneous fixed fleet of vehicles in logistics distribution systems is presented. The principles and key steps of the proposed firefly algorithm are introduced in detail. Experimental results from solving the heterogeneous fixed fleet vehicle routing problem when tested on benchmark datasets are demonstrated. Moreover, the algorithm is compared with other algorithms solving similar problems in order to prove the effectiveness of the proposed hybrid firefly algorithm.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 204-224
Issue: 2
Volume: 33
Year: 2019
Keywords: firefly algorithm; nature inspired metaheuristic algorithms; combinatorial optimisation; vehicle routing problem; VRP.
File-URL: http://www.inderscience.com/link.php?id=102471
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:204-224

Template-Type: ReDIF-Article 1.0
Author-Name: Emidio Tiberi
Author-X-Name-First: Emidio
Author-X-Name-Last: Tiberi
Author-Name: Riccardo Furlanetto
Author-X-Name-First: Riccardo
Author-X-Name-Last: Furlanetto
Author-Name: Daniele Turrin
Author-X-Name-First: Daniele
Author-X-Name-Last: Turrin
Author-Name: Marzio Piller
Author-X-Name-First: Marzio
Author-X-Name-Last: Piller
Title: A reliable and computationally efficient model for professional gas boilers
Abstract:
Gas boilers can be integrated into professional ovens for steamcooking processes. Their heat-transfer efficiency depends on several parameters, as exhaust gas temperature, combustion stability, fuel type, excess air. Computational fluid dynamics (CFD henceforth) provides a viable option to assess several &lt;i&gt;digital&lt;/i&gt; prototypes of gas boilers under different operation conditions. Short setup-time, low computational cost and close matching with experimental results are key features of a CFD model suitable for the industrial design. We propose a reliable and computationally-efficient CFD model for gas boilers, operating under steady conditions. The model does not take explicitly into account both combustion and water boiling. The accuracy of the proposed model is confirmed by the excellent agreement between experimental measurements of the exhaust gas temperatures and the corresponding numerical results.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 225-251
Issue: 2
Volume: 33
Year: 2019
Keywords: gas boilers; computational fluid dynamics; CFD; CFD model; heat transfer; experimental validation; computational efficiency; industrial systems.
File-URL: http://www.inderscience.com/link.php?id=102472
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:225-251

Template-Type: ReDIF-Article 1.0
Author-Name: Leyla Demir
Author-X-Name-First: Leyla
Author-X-Name-Last: Demir
Author-Name: Alexandros C. Diamantidis
Author-X-Name-First: Alexandros C.
Author-X-Name-Last: Diamantidis
Author-Name: Deniz Türsel Eliiyi
Author-X-Name-First: Deniz Türsel
Author-X-Name-Last: Eliiyi
Author-Name: M.E.J. O'Kelly
Author-X-Name-First: M.E.J.
Author-X-Name-Last: O'Kelly
Author-Name: Semra Tunali
Author-X-Name-First: Semra
Author-X-Name-Last: Tunali
Title: Optimal buffer allocation for serial production lines using heuristic search algorithms: a comparative study
Abstract:
The buffer allocation problem (BAP) is one of the major optimisation problems faced by production system designers. BAP is widely studied in the literature since buffers have a great impact on efficiency of production lines. This paper deals with buffer allocation problem and compares the performance of three heuristic search algorithms, namely myopic algorithm (MA), degraded ceiling (DC), and adaptive tabu search (ATS) with respect to both throughput maximisation and also computational time. To generalise experimental findings the experiments have been conducted both for reliable and also unreliable serial production lines over various sizes of problem instances. It is hoped that the findings of this research study can serve as a guideline for the decision makers while designing and operating production lines.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 252-270
Issue: 2
Volume: 33
Year: 2019
Keywords: production lines; buffer allocation problem; BAP; tabu search; myopic algorithm; degraded ceiling.
File-URL: http://www.inderscience.com/link.php?id=102473
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:252-270

Template-Type: ReDIF-Article 1.0
Author-Name: Andrew H. Bluett
Author-X-Name-First: Andrew H.
Author-X-Name-Last: Bluett
Author-Name: Hector A. Vergara
Author-X-Name-First: Hector A.
Author-X-Name-Last: Vergara
Author-Name: J. David Porter
Author-X-Name-First: J. David
Author-X-Name-Last: Porter
Title: Evaluating the effectiveness of spare parts replenishment methods for warranty service satisfaction
Abstract:
After a mobile communication device (MCD) has been sold, the customer may find that there is a defect. MCD manufacturers usually contract a third-party warranty service provider (WSP) to perform repairs of manufacturing defects and to ship a repaired MCD back to the customer. The contract established between the MCD manufacturer and the WSP clearly specifies the minimum required service levels for repair lead time and fill rate that must be met by the WSP. In this research, the ability of two distinct spare parts replenishment methods to meet minimum required service levels at a minimum cost was evaluated using a discrete event simulation approach. The results show that both methods satisfy minimum service level requirements with no significant difference in average total system cost. However, the results also indicate that their performance with respect to average repair lead time and average fill rate is significantly different.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 271-290
Issue: 3
Volume: 33
Year: 2019
Keywords: discrete event simulation; mobile communication device; MCD; spare parts replenishment; inventory management; replenishment planning; warranty service.
File-URL: http://www.inderscience.com/link.php?id=103439
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:3:p:271-290

Template-Type: ReDIF-Article 1.0
Author-Name: Satu Tamminen
Author-X-Name-First: Satu
Author-X-Name-Last: Tamminen
Author-Name: Eija Ferreira
Author-X-Name-First: Eija
Author-X-Name-Last: Ferreira
Author-Name: Henna Tiensuu
Author-X-Name-First: Henna
Author-X-Name-Last: Tiensuu
Author-Name: Heli Helaakoski
Author-X-Name-First: Heli
Author-X-Name-Last: Helaakoski
Author-Name: Vesa Kyllönen
Author-X-Name-First: Vesa
Author-X-Name-Last: Kyllönen
Author-Name: Juha Jokisaari
Author-X-Name-First: Juha
Author-X-Name-Last: Jokisaari
Author-Name: Esa Puukko
Author-X-Name-First: Esa
Author-X-Name-Last: Puukko
Author-Name: Juha Röning
Author-X-Name-First: Juha
Author-X-Name-Last: Röning
Title: An online quality monitoring tool for information acquisition and sharing in manufacturing: requirements and solutions for the steel industry
Abstract:
The purpose of this study was to develop an innovative online supervisor system to assist the operators of an industrial manufacturing process in discovering new solutions for improving both the products and the manufacturing process itself. In this paper, we discuss the requirements and practical aspects of building such a system and demonstrate its use and functioning with different types of statistical modelling methods applied for quality monitoring in industrial applications. The two case studies presenting the development work were selected from the steel industry. One case study predicting the profile of a stainless steel strip tested the usability of the tool offline, while the other study predicting the risk of roughness of a steel strip had an online test period. User experiences from a test use period were collected with a system usability scale questionnaire.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 291-313
Issue: 3
Volume: 33
Year: 2019
Keywords: data mining; generalised boosted regression; GBM; quality improvement; online monitoring; knowledge representation; product design; smart decision support.
File-URL: http://www.inderscience.com/link.php?id=103442
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:3:p:291-313

Template-Type: ReDIF-Article 1.0
Author-Name: Sagar Sikder
Author-X-Name-First: Sagar
Author-X-Name-Last: Sikder
Author-Name: Indrajit Mukherjee
Author-X-Name-First: Indrajit
Author-X-Name-Last: Mukherjee
Author-Name: Subhash Chandra Panja
Author-X-Name-First: Subhash Chandra
Author-X-Name-Last: Panja
Title: A synergic multivariate statistical process control framework for monitoring, diagnosis, and adjustment of multiple response abrasive machining processes
Abstract:
In various abrasive machining processes, output quality is defined in terms of multiple critical responses and their deviations from target values. These multiple responses are often interacting and changing the process conditions for improving or controlling one response may deteriorate the quality of another. Thus, there is a need to simultaneously consider all responses and recommend a trade-off operating condition for process control and optimisation. Two important fields that consider simultaneous control and optimisation of multiple responses are the multivariate statistical process control (MSPC) and multiple response optimisation (MRO). Although various MSPC and MRO approaches have been proposed by researchers, there is limited prior research on the integration of MSPC and MRO approaches to ensure the stability and process capability. In this study, a synergic MSPC and MRO approach is proposed based on Mahalanobis-Taguchi system and nonlinear optimisation to ensure the stability and capability of the abrasive machining process.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 314-345
Issue: 3
Volume: 33
Year: 2019
Keywords: abrasive machining process; multivariate statistical process control; MSPC; multiple response optimisation; MRO; Mahalanobis-Taguchi system; MTS; r-control chart; multivariate process capability.
File-URL: http://www.inderscience.com/link.php?id=103443
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:3:p:314-345

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
Author-Name: Satya Prakash Singh
Author-X-Name-First: Satya Prakash
Author-X-Name-Last: Singh
Title: Analytical evaluation of agile success factors influencing quality in banking sector
Abstract:
Today's software applications deployed in an enterprise caters to the complex business processes, integrates various business units and addresses requirements of global customer base. The traditional methodology of software engineering succumbs towards the changing need of customer and technology advancement. Agile methodology targets complex systems with its iterative, incremental and evolutionary approach. There are numerous factors attributing towards the successful implementation of agile methodology. The measurement and evaluation of these agile success factors in an enterprise remains a challenge. This research paper presents a framework to analyse and measure the success factors of agile methodology in an enterprise, using two-way assessment and analytic hierarchy process (AHP). A case study has been conducted in a large enterprise in banking sector and twelve success factors of agile implementation have been evaluated and measured. The proposed framework makes significant contributions to the research community by providing improvement in the maturity of agile implementation in an enterprise by 54%.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 346-373
Issue: 3
Volume: 33
Year: 2019
Keywords: software quality; agile methodology; two-way assessment; analytic hierarchy process; AHP; continuous integration; enterprise application.
File-URL: http://www.inderscience.com/link.php?id=103448
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:3:p:346-373

Template-Type: ReDIF-Article 1.0
Author-Name: M. Amirthakodi
Author-X-Name-First: M.
Author-X-Name-Last: Amirthakodi
Author-Name: B. Sivakumar
Author-X-Name-First: B.
Author-X-Name-Last: Sivakumar
Title: An inventory system with service facility and feedback customers
Abstract:
We consider a continuous review inventory system with service facility and a single server. The customers arrive according to a Poisson process. Any arriving customer, who finds the waiting room is full, is considered to be lost. The individual customer's unit demand is satisfied after a random time of service which is distributed as exponential. After a customer is served, he/she will decide either to join the orbit, for another service or leave the system according to a Bernoulli trial. The service time for these feedback customers are assumed to be exponential distribution. The inventory is replenished according to an (&lt;i&gt;s&lt;/i&gt;, &lt;i&gt;S&lt;/i&gt;) inventory policy and the replenishing times are assumed to be exponential. We have carried out the busy period analysis of the system and the waiting time distribution for both primary and feedback customers. The sensitivity analysis has been carried out the effect of different parameters and costs rates.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 374-411
Issue: 3
Volume: 33
Year: 2019
Keywords: (<i>s</i>&#44; <i>S</i>) inventory policy; finite waiting hall; feedback customer; busy period analysis; waiting time distribution.
File-URL: http://www.inderscience.com/link.php?id=103450
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:3:p:374-411

Template-Type: ReDIF-Article 1.0
Author-Name: Abdulaziz Ahmed
Author-X-Name-First: Abdulaziz
Author-X-Name-Last: Ahmed
Author-Name: Wenfei Shen
Author-X-Name-First: Wenfei
Author-X-Name-Last: Shen
Author-Name: Mohammad T. Khasawneh
Author-X-Name-First: Mohammad T.
Author-X-Name-Last: Khasawneh
Title: Sustainability modelling of health information exchanges in dynamic environments
Abstract:
Healthcare practitioners have realised that sharing patient data is beneficial, which can be accomplished by joining a healthcare information exchange (HIE) network. Many challenges confront those joining an HIE network, and one of the most serious is the network's financial sustainability. This paper develops three linear programming models to study the sustainability of an HIE network. Two types of agent are considered: the healthcare provider (HCP) and the HIE network owner. Model 1 aims to maximise the benefits for HCPs, while Models 2A and 2B are intended to maximise the benefits for HIE owners. The results of model 1 showed that the benefits for HIE owners and HCPs were positive. In models 2A and 2B, the benefits for HIE owners were sometimes negative because in some cases there were not enough joined HCPs. This study helps decision makers understand the sustainability of HIE networks in a dynamic environment.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 413-434
Issue: 4
Volume: 33
Year: 2019
Keywords: healthcare information exchange; HIE; linear programming; optimisation; sustainability; dynamic behaviour.
File-URL: http://www.inderscience.com/link.php?id=104272
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:4:p:413-434

Template-Type: ReDIF-Article 1.0
Author-Name: Juan Camilo Paz
Author-X-Name-First: Juan Camilo
Author-X-Name-Last: Paz
Author-Name: John Willmer Escobar
Author-X-Name-First: John Willmer
Author-X-Name-Last: Escobar
Title: An optimisation framework of a global supply chain considering transfer pricing for a Colombian multinational company
Abstract:
This paper considers the problem of designing a global supply chain of consumer products by considering transfer pricing. It is based on a global established supply chain for which the central problem is to determine the closure and consolidation of national distribution centres. The problem has been solved by using a mixed integer linear programming model considering decisions regarding the location of facilities, transfer pricing, plant capacities, and the flow of products through the supply chain. The objective function of the proposed mathematical model is to maximise the total profit after tax by considering the determination of global revenues in the different facilities and their division over the chain. The mathematical model has been tested with real information obtained from a Colombian multinational company of the commercial sector. The obtained results confirm the efficiency of the proposed model by including transfer pricing and the positive impact on the determination of the profits of the case study company.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 435-449
Issue: 4
Volume: 33
Year: 2019
Keywords: optimisation of global supply chains; transfer pricing; tax; logistics.
File-URL: http://www.inderscience.com/link.php?id=104273
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:4:p:435-449

Template-Type: ReDIF-Article 1.0
Author-Name: Xing Yu
Author-X-Name-First: Xing
Author-X-Name-Last: Yu
Author-Name: Dongwei Shi
Author-X-Name-First: Dongwei
Author-X-Name-Last: Shi
Title: Risk control with options hedging for an oil import enterprise
Abstract:
The paper examines the performance of several options hedging models, namely with currency options, with crude oil options and with both currency and crude oil options, for a crude oil importing firm. We simulate the returns, calculate optimal hedge ratios and suggest a risk management strategy. The empirical results show that the models of GJR-t and EGARCH-t are respectively suitable to forecast the volatilities for WTI crude oil price and exchange rates (CNY/USD). Student-t Copula is the best fitting function to describe the dependence structure among the bivariate return series. Furthermore, by comparing the risks measured by conditional value at risk (CVaR), we suggest that the risk appetite investors can buy currency options for hedging and the risk aversion investors can buy crude oil options for hedging. It is not wise to buy both options of currency and crude oil in terms of budget.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 450-472
Issue: 4
Volume: 33
Year: 2019
Keywords: risk control; options hedging; optimisation model; simulation method; conditional at risk; GARCH models; Copula functions; GJR models; EGARCH models; maximum likelihood estimate method; marginal distributions; dependence structure.
File-URL: http://www.inderscience.com/link.php?id=104274
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:4:p:450-472

Template-Type: ReDIF-Article 1.0
Author-Name: Ibrahim H. Garbie
Author-X-Name-First: Ibrahim H.
Author-X-Name-Last: Garbie
Author-Name: Rahma Al-Shaqsi
Author-X-Name-First: Rahma
Author-X-Name-Last: Al-Shaqsi
Title: Building sustainable models and assessments into petroleum companies: theory and application
Abstract:
There is an urgent need to build sustainable models to predict future in oil and gas sector to accommodate and respond to the short-term pressures. One of the main issues in petroleum companies is the concept of sustainability interpreted in a multitude of different ways. Numerous frameworks have been presented to assess sustainability, but there is no agreement on a common set of criteria for analysis, investigation, modelling and assessment. A framework of sustainability in oil and gas industry was built and investigated on two important levels: micro-level and macro-level. The micro-level was proposed to evaluate sustainable index in an individual petroleum company and macro-level was suggested to assess sustainable index in the whole oil and gas sector. Practical indicators have been suggested, developed and evaluated to assess sustainability indexes. An implementation of the suggested framework was applied through three big petroleum companies in Sultanate of Oman. The results show that some companies had sustainable indices of more importance than others.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 473-512
Issue: 4
Volume: 33
Year: 2019
Keywords: oil and gas industry; sustainability; sustainable development.
File-URL: http://www.inderscience.com/link.php?id=104275
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Handle: RePEc:ids:ijisen:v:33:y:2019:i:4:p:473-512

Template-Type: ReDIF-Article 1.0
Author-Name: Ke Sun
Author-X-Name-First: Ke
Author-X-Name-Last: Sun
Author-Name: James T. Luxhøj
Author-X-Name-First: James T.
Author-X-Name-Last: Luxhøj
Title: A hybrid approach for modelling dynamic flows and systemic risks in supply chains
Abstract:
The uncertainty of supply chain operations is becoming more complex with the growth of globalised business collaborations. Temporal business environment fluctuations cause disruptions that require quantitative risk analysis tools to understand and mitigate supply chain risks. This paper presents the formulation and application of the dynamic flow Bayesian networks (DFBNs) and the optimised dynamic flow Bayesian networks (ODFBNs) for a three-stage supply chain. DFBNs are created by integrating dynamic Bayesian networks (DBNs) and system dynamics (SD) to demonstrate the feedback flows of a supply chain with systemic risks considered. ODFBNs that incorporate mathematical optimisation with the original DFBNs are also developed to generate an optimisation-enhanced risk-influenced dynamic flow analysis. DFBN and ODFBN provide supply chain practitioners with a more effective reference for their business strategy. Comparison between the ODFBN and the DFBN is illustrated with a discussion of preliminary modelling results.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 513-541
Issue: 4
Volume: 33
Year: 2019
Keywords: supply chain; risk analysis; dynamic Bayesian networks; DBNs; system dynamics; multi-objective optimisation; hybrid model.
File-URL: http://www.inderscience.com/link.php?id=104276
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijisen:v:33:y:2019:i:4:p:513-541

Template-Type: ReDIF-Article 1.0
Author-Name: Ateekh Ur Rehman
Author-X-Name-First: Ateekh Ur
Author-X-Name-Last: Rehman
Title: An approach to assess robustness of a reconfigurable manufacturing system
Abstract:
A manufacturing system is considered, which produces 30 products using 17 conventional machines and different process plans for each product. The system accepts customer orders for any combination of these products. These orders received from time to time may relate to different combinations of the products of varying quantities. The system is simulated using ProModel and the exercise helped in quantifying how the manufacturing system would perform under different scenarios characterised by the combinations of various operational features. The performance of the system is measured using performance measures such as machine utilisation, throughput time, product earliness, product lateness and product block time. Nine different alternative configurations were developed and simulated. Taguchi analysis led to some interesting inference, which appears to be extending good support to manufacturing system performance analysis. The details of the simulation model, analysis of the results and the inference drawn are presented in this paper.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 542-557
Issue: 4
Volume: 33
Year: 2019
Keywords: performance evaluation; reconfiguration; simulation; ProModel; robustness; signal to noise.
File-URL: http://www.inderscience.com/link.php?id=104277
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijisen:v:33:y:2019:i:4:p:542-557