Forthcoming articles

International Journal of Industrial and Systems Engineering

International Journal of Industrial and Systems Engineering (IJISE)

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International Journal of Industrial and Systems Engineering (89 papers in press)

Regular Issues

  • Simulated Annealing Approach to Minimize Total Weighted Tardiness of Non-Identical Parallel Batch Processing Machines   Order a copy of this article
    by Rajani Kakkunuri, Christine Nguyen, Purushothaman Damodaran 
    Abstract: A variety of industries use Batch Processing Machines (BPMs) that can process multiple jobs simultaneously per machine. This research considers the scheduling of multiple jobs onto non-identical parallel BPMs while minimizing the total weighted tardiness. The problem under study is NP-hard and solving it to optimality using a commercial solver requires long run times when the size of the problem increases. A Simulated Annealing (SA) approach is proposed to find good solutions for large problem instances within short run times. The results obtained are compared to two metaheuristics, Particle Swarm Optimization (PSO) and Differential Evolution (DE), proposed in the literature and a commercial solver (CPLEX). An experimental study is conducted to evaluate the different solution approaches on a set of problem instances. Based on results, the authors conclude that SA is highly effective in solving large problem instances within reasonable run times when compared to CPLEX, PSO and DE.
    Keywords: Scheduling; batch processing machines; weighted tardiness; simulated annealing.

  • The value of fleet information: A cost-benefit model   Order a copy of this article
    by Sini-Kaisu Kinnunen, Salla Marttonen-Arola, Timo Kärri 
    Abstract: Internet of Things (IoT) technologies enable the collection of wide-ranging data related to industrial assets which can be used as a support of decision making in asset management, varying from operative maintenance decisions concerning one asset to the management of asset fleets. Technologies and data-refining processes need to be invested in to create knowledge from the massive amounts of data. However, it is not clear that the investments in technologies will pay back, as the data analysis and modelling processes need to be developed as well, and the potential benefits must be considerable. This paper contributes to this field by modelling the costs and benefits of IoT investments. As a result, we develop a model that evaluates the value of fleet information in the maintenance context by applying the cost-benefit approach. The costs consist of hardware, software and data processing -related work costs, while the benefits comprise savings in maintenance and quality costs, as well as other savings or increased revenues. Testing the model with a descriptive case demonstrates that the realized cost savings and other benefits need to be considerable for the investment in IoT technologies to be profitable. The results emphasize the importance of data utilization in decision making in order to gain benefits and to create value from data.
    Keywords: fleet; cost-benefit; asset management; investment appraisal; maintenance; life-cycle analysis; Weibull; life-cycle data; cost savings; value of information.

  • Meta-heuristics for Dynamic Real Time Scheduling of Diffusion Furnace in Semiconductor Manufacturing Industry   Order a copy of this article
    by M. Vimala Rani, M. Mathirajan 
    Abstract: It is observed from the literature that most of the earlier research in dynamic scheduling of diffusion furnace (DF) in Semiconductor Manufacturing industry, considers only future arrival of jobs. However, in reality along with the future arrival of jobs, various unexpected real time events related to jobs, and/or resources will occur. Hence, this study addresses the important real life characteristics of considering simultaneously both future arrival jobs and the occurrence of a job and/or resource related real time events while scheduling DF, called as dynamic real time scheduling (DRTS), with the scheduling objective of minimizing total weighted tardiness (TWT). This study first explains the mathematical model for dynamic scheduling of single diffusion furnace to minimize TWT. Since the research problem that is considered in this study is shown to be NP-hard, this study proposes meta-heuristics: Simulated Annealing (SA) and Tabu Search (TS) for DRTS of DF. In this study, for both SA and TS, six different initial solutions obtained from six variants of greedy heuristic algorithm (GHA) are given as input to improve the solution and this would result 12 variants of meta-heuristics (six variants of SA and six variants of TS). To find the most performing variants among the proposed 12 variants of the meta-heuristics, a series of computational experiments are conducted by empirically comparing the effectiveness with (a) best solution among the proposed 12 variants of the meta-heuristics, and (b) estimated optimal solution. In addition, the results obtained from the empirical analyses are further verified through two different statistical analyses. From empirical and statistical analyses on 270 problem instances, one of the proposed versions of the SA algorithm outperforms in comparison with the other proposed variants of the meta-heuristics.
    Keywords: Simulated Annealing; Tabu Search; Greedy Heuristic Algorithm; Real Time Events; Dynamic Real Time Scheduling; Diffusion Furnace.

  • Analysis of an M[X]/G(a, b)/1 queueing model with multiple vacation controllable arrival during multiple vacation and two phases of repair with delay   Order a copy of this article
    by T. Deepa, AYYAPPAN Govindan 
    Abstract: The objective of this paper is to analyse anM[X]/G(a; b)/1 queueing model with multiple vacation, controllable arrival during multiple vacation and two phases of repair with delay. Whenever the queue size is less than 'a', the server resumes multiple vacation and continues this until at least 'a' customers are waiting in the queue. After finishing a batch of service, if the server is breakdown with probability ?, the server will be sent for repair after a short interval of time called delay time. After this delay, two consecutive phases of repair (first phase repair, second phase repair) are considered. After the second phase of repair or when there is no breakdown with probability 1-?, the server starts a vacation if the queue length is less than 'a'. Otherwise, the server starts a service under the general bulk service rule. Using supplementary variable technique, the probability generating function of the queue size at an arbitrary time is obtained for the steady-state case. Also some performance measures and cost model are derived. Numerical illustrations are presented to visualise the effect of various system parameters.
    Keywords: Bulk queue; Controllable arrival; Multiple vacation; Two phases of repair; Delay time to repair.
    DOI: 10.1504/IJISE.2019.10015165
     
  • Simulation of incompressible flows in channels containing fluid and porous regions   Order a copy of this article
    by Pavel Bulat, Konstantin Volkov 
    Abstract: Flows and heat transfer in channels containing both fluid and porous regions play an important role in various engineering applications. A better understanding of fundamental mechanisms in the fluid flows in porous regions are required in order to design and optimise gas bearings, air filters, and thermal insulation in the specific applications. Darcy-Brinkman-Forchheimer model is used to describe the flow inside the porous domain. The finite volume method is applied to solve these equations in a porous and open domain. The capabilities of the mathematical model and computational algorithm are demonstrated using test cases from various areas of practical applications. The effect of various physical quantities on velocity and pressure distributions is studied. The results of the numerical simulation of flows in porous domains are presented. The results obtained are in a good agreement with the experimental and numerical data available in the literature.
    Keywords: porous medium; computational fluid dynamics; channel flow; fluid injection; gas bearing.
    DOI: 10.1504/IJISE.2020.10015491
     
  • Stability Analysis of Asynchronous Switched Positive Systems with Unstable Subsystems   Order a copy of this article
    by Jingjing Hu, Pingping Gu, Huiwen Liu, Dexiang Liu 
    Abstract: This paper investigates the stability problems of asynchronous switched positive systems based on mode-dependent average dwell time method in continuous-time context. While using mode-dependent average dwell time to study the stability of switched systems, each subsystem must be stable, otherwise a state feedback controller should be designed for the unstable subsystem. But in practical application, when the subsystem is activated one by one, it usually takes a period of time to identify which one of the state feedback controllers should be activated, which causes the asynchronisation. Next, in consideration of the difficulty of designing an appropriate state feedback controller for some unstable subsystems, this paper is aimed at obtaining the stability condition of asynchronous switched positive systems with both stable and unstable subsystems.
    Keywords: asynchronization; mode-dependent average dwell time; stabilization; switched positive systems; unstable subsystem.
    DOI: 10.1504/IJISE.2020.10016058
     
  • Generalized Fault Detection and Correction Modeling Framework for Multi Release of Software   Order a copy of this article
    by Avinash K. Shrivastava, Iqra Saraf, Javaid Iqbal 
    Abstract: The intense competition in the technology around the world has forced the software firms to speed-up their software upgrades. This arises challenges as the reconsideration in code may add new bugs/faults or the undetected leftover faults from previous release may create complications in getting the software updated. Due to added complexity, the testing team may be unable to correct the fault upon detection leaving the actual fault to reside in the software, termed as imperfect debugging or there may be addition of extra fault during correction process, known as error/fault generation. Also, change in testing strategies and resources at any time point may result in change in fault detection and correction rate which is known as change point. Keeping these issues under consideration, we propose, an NHPP-based general framework for multi-release, two stage fault detection and correction software reliability models under imperfect debugging, error generation and change-point. Proposed model is validated on real life data.
    Keywords: Non-Homogenous Poisson Process (NHPP); Software Reliability Growth Model (SRGM); Detection; Correction; Modeling; Imperfect Debugging; Change-Point; Multi release; Ranking; Distance Based approach(DBA.
    DOI: 10.1504/IJISE.2020.10016059
     
  • Operational strategies for managing container terminals. An approach based on closed queueing networks.   Order a copy of this article
    by Iñigo L. Ansorena 
    Abstract: The port performance can be improved by a well-defined operations plan. We present a closed Jackson network (CJN) approach to analyse port operations from vessel to yard. The tool is not only focused on the berthing line, but also on the service level at the storage yard. It aims to determine the best way to operate a containership using two crucial parameters: container stowage and truck traffic. Thus, the CJN model determines the impact of cargo stowage on port performance (1)) and the impact of traffic on port performance (2)). Both are crucial to set the best strategy and ensure the efficient use of handling equipments. The CJN model is flexible in the sense that managers may plan different scenarios. The study suggests that terminal operators can achieve substantial benefits by means of the best resource allocation in each scenario.
    Keywords: Jackson network; resource allocation; container terminals; operations management; port performance; trucks; traffic; bay plans; service rate; berth productivity; yard productivity; queues; matlab.
    DOI: 10.1504/IJISE.2020.10016084
     
  • A fuzzy multi-objective model for a cellular manufacturing system with layout designing in a dynamic condition   Order a copy of this article
    by Ali Mohtashami, Alireza Alinezhad 
    Abstract: Cellular manufacturing system (CMS) plays a remarkably significant role in modern production systems. This paper presents a novel and practical fuzzy multi-objective mathematical model for a CMS in a dynamic condition considering the flexibility in allocating machines. The proposed model seeks to determine the best layout design in each production period. Two conflicting objectives are considered including minimizing the cost of manufacturing system due to the amount of production loss caused by waste, as well as minimizing the variance of fuzzy costs. Due to the complexity of the problem, non-dominate sorting genetic algorithm-II and multi-objective particle swarm optimization algorithm are designed to solve the model and to obtain the effective solutions. In order to demonstrate the efficiency of the algorithms and to choose the premier algorithm, both algorithms are evaluated in several random problems and then compared based on the existing measurement indicators. Then, the algorithms are tuned to solve the problem, based on which their performances are analyzed statistically. The applicability of the proposed approach and the solution methodologies are demonstrated as well.
    Keywords: Cellular manufacturing system; fuzzy theory; NSGA-II algorithm; MOPSO algorithm.
    DOI: 10.1504/IJISE.2020.10026694
     
  • Mathematical Modeling for Prediction of Tube Hydroforming Process using RSM and ANN   Order a copy of this article
    by P. VENKATESHWAR REDDY, B. VEERABHADRA REDDY, P. Janaki Ramulu 
    Abstract: Tube hydroforming (THF) is a special manufacturing process used to produce tubular components having applications in aerospace and automotive industries. The present study investigates the effect of process parameters such as coefficient of friction (CF), corner radius (CR) of the die and the axial feeding (AF) of the punch. The bulge ratio and thinning ratio has been evaluated to minimise the defects like bursting, wrinkling and buckling in the tubes. Apart from many parameters, these parameters are chosen to know the effect of each individual parameter on the outcomes namely bulge ratio and thinning ratio. Each factor has varied with three levels and a total of 27 simulations were carried out based on full factorial design. RSM and ANN were applied on the obtained results in order to predict the process parameters effect on the tube hydroforming process. The R-square value of ANN (0.9524 and 0.9517) is much closure to 1 when compared to R-square value of RSM (0.9539 and 0.9509).
    Keywords: Tube hydroforming; FEM; RSM; ANN; MATHEMATICAL MODELLING.
    DOI: 10.1504/IJISE.2020.10016192
     
  • Effects of proof tests on the safety performance of safety-instrumented systems   Order a copy of this article
    by Asklou Noureddine, Noureddine Rachid 
    Abstract: The imperfection in the values of the average probability of failure on demand (PFDavg) creates uncertainty about the effectiveness of safety-instrumented system (SIS). To overcome this problem, many parameters such as dangerous failures, common cause failures, diagnostic coverage rate and proof tests are taken into consideration. In order to emphasise the importance of the proof tests and show their effects on the safety performance of the SIS, a new analytical formula is developed in this study. The impact of these tests on the SIS's allocation of the safe integrity level (SIL) is shown through the results obtained in the present research.
    Keywords: Safety-instrumented system; proof test; average probability of failure on demand; safety integrity level.
    DOI: 10.1504/IJISE.2020.10016201
     
  • Throughput Time Reduction for Transportation of Foodgrains in Public Distribution System: A Value Analysis Approach   Order a copy of this article
    by K. Mathiyazhagan, Ajay Bohtan, Prem Vrat 
    Abstract: Food security to the population of India is ensured by the public distribution system (PDS) which involves an enormous and complex supply chain, wherein after procurement from the farmers foodgrains are distributed to the intended beneficiaries. This paper has analysed the large through put time in a sector of the supply chain using value chain analysis approach which has led to re-appropriation of the flow by minimising the time taken by non-value adding activities thereby increasing the efficiency of the supply chain. Reduction in this throughput time would lead to various advantages including the reduction in cost of the supply chain. Further, the model so arrived at could be reworked to bring a similar reduction in the throughput time at the macro level of the entire PDS supply chain.
    Keywords: Supply Chain Management; Public Distribution System; Value Addition; Value Analysis; Throughput time.
    DOI: 10.1504/IJISE.2020.10016598
     
  • A Responsive Multiplicative Holt-Winters (RMHW) Approach for Enhanced Forecasting Accuracy   Order a copy of this article
    by H. M. E. Kays, A. N. M. Karim, Mohd Radzi C. Daud 
    Abstract: In the competitive world of todays business, the quest for a reliable forecasting method to predict the future events is an ongoing process. Accordingly, efforts are being made incessantly to come up with ideas of superior forecasting techniques. As a classical and reliable forecasting technique of Operations Research, the Conventional Multiplicative Holt-Winters (CMHW) approach has been widely adopted for the time series events having seasonal and other causal variations. To make a forecast, the CMHW approach incorporates three different recursion processes for updating and estimating the level, growth rate and seasonal patterns of the associated time series. A set of estimated initial values having the number of elements equivalent to the seasonal length is used to initiate the recursion process for the seasonal parameter. Whereas, the recursion processes of level and growth rate are initiated by using the individual single stationary values. However, dependency on the stationary single initial values reflecting a strong adherence to the preceding patterns of a data set might compromise the forecasting accuracy and responsiveness. While, modification of the CMHW approach by facilitating the periodic updates of initial values in the recursion process of level and growth rate is presumed to have positive effect in reducing the forecast error. In this context a Responsive Multiplicative Holt-Winters (RMHW) forecasting approach is proposed and presented in this paper for which the conventional recursion process of level and growth rate are adjusted dynamically by accommodating a periodic updating procedure. The proposed forecasting method is tested for validation through several sets of data collected from real-life industry and case studies extracted from literature. Interestingly, for all the cases the forecasting accuracy is found to be enhanced by applying the proposed RMHW approach.
    Keywords: Seasonal patterns; Demand forecasting; Smoothing constants; Multiplicative Holt-Winters Method; Forecasting Accuracy.

  • Considering pricing and uncertainty in design of a reverse logistics network   Order a copy of this article
    by Mohsen Zamani, Mahdi Abolghasemi, Seyed Mohammad Seyed Hosseini, Mir Saman Pishvaee 
    Abstract: Companies try to maximize their profits by recovering returned products of highly uncertain quality and quantity. In this paper, a reverse logistics network for an Original Equipment Manufacturer (OEM) is presented. Returned products are selected for remanufacturing or scrapping, based on their quality and proportional prices are offered to customers. A Mixed Integer Non-linear Programming (MINLP) model is proposed to determine the location of collection centers, the optimum price of returned products and the sorting policy. The risk in the objective function is measured using the Conditional Value at Risk (CVaR) metric. CVaR measures the risk of an investment in a conservative way by considering the maximum lost. The results are analyzed for various values of the risk parameters (α, and λ). These parameters indicate that considering risk affects prices, the classification of returned products, the location of collection centers and, consequently, the objective function. The model performs more conservatively when the weight of the CVaR part (λ) and the value of the confidence level α are increased. The results show that better profits are obtained when we take CVaR into account.
    Keywords: Reverse logistics; Network design; Pricing; Risk.

  • Using GRASP Approach and Path Relinking to Minimize Total Number of Tardy Jobs on a Single Batch Processing Machine   Order a copy of this article
    by Purushothaman Damodaran, Panteha Alipour, Christine Nguyen 
    Abstract: This paper considers scheduling a single batch processing machine such that the total number of tardy jobs is minimised. The machine can simultaneously process several jobs as a batch as long as the machine capacity is not violated. The batch processing time is equal to the largest processing time among those jobs in the batch. As the problem under study is NP-hard solving a mathematical formulation optimality is computationally intensive. A greedy randomised adaptive search procedure (GRASP) is proposed with the assumption of arbitrary job sizes, arbitrary processing times and arbitrary due dates. A novel construction phase for the GRASP approach is proposed to improve the solution quality. In addition, a path relinking procedure is proposed for solving large-sized problems effectively. The performance of the proposed GRASP approach is evaluated by comparing its results to a commercial solver and a construction heuristic. Experimental studies suggest that GRASP is superior compared to the commercial solver and the construction heuristic.
    Keywords: Minimizing total number of tardy jobs; batch processing machine; scheduling; GRASP; path relinking.
    DOI: 10.1504/IJISE.2020.10017570
     
  • Use of Industrial Robots in Developing Countrys Scenario; Evidence from Three Dimensional Wireframe Graphs of Production   Order a copy of this article
    by Ejaz Gul 
    Abstract: Globally, use of industrial robots increased by 60% in last decade. In case of developing country, use of industrial robots is a bit tricky. This paper presents a functional model to explain use of robots and productivity link for industrial environment of developing country. Presented model is based on three scenarios; human solo (existing), robot solo (substitute) and combination of human and robots (complement). Taking production P as dependent variable, we determined its mathematical value for three scenarios. After detailed analysis with a help of latest software GeoGebra and 3D wireframe graphs, we concluded that in human solo scenario, factory production remain low in short run but increases in the long run; in robot solo scenario (substitute), production increases in the short run but decreases in the long run more than human solo scenario; while production increases in short and long run when robots are used mixed with human effort.
    Keywords: Robot; human; solo; substitute; complement; industry; production; short run; long run; increase; decrease.
    DOI: 10.1504/IJISE.2020.10020771
     
  • Influence of Demographic Factors on Productivity: A study among employees with different personality types in architectural firms   Order a copy of this article
    by Sriram K. V, Zara Poursafar, Lewlyn L. R. Rodrigues, Mohammad Haghighatpanah 
    Abstract: Though productivity of an organisation is influenced by many factors like skill set, wages, qualification, etc. personality trait of an employee is an important contributor. The present research attempts to identify the significance of relationship between the demographic factors of the employees and the productivity in the office of architects with and without the consideration of personality traits of employees. The survey for the study was carried out in 80 architects' offices located in Iran and India. The data was collected through a self-administered survey questionnaire using random sampling method on the basis of representative sampling. Statistical analysis was carried out using SPSS ver. 20. Chi-square test was used to test association between demographic factors and productivity. The study shows that there is a significant influence of demographic factors on employees' productivity while taking into consideration the different personality types.
    Keywords: Demographic factors; Productivity; Personality types; MBTI; Psychology; Architects’ offices.
    DOI: 10.1504/IJISE.2020.10018052
     
  • The discrete analysis of relay-races   Order a copy of this article
    by Eugene Larkin, Alexander Privalov 
    Abstract: It is shown that relay-races as a form of concurrency, are widespread in such fields of human activity, as industry, defence, economics, politics, etc. The analytical description of J stages relay-races, in which participate M teams, is considered. The model based on the semi-Markov process theory allows investigating a process evolution in detail but is of little use for computer calculation of forfeit, which the winner team receives from loser teams. To adapt analytical description to computer calculations, the method based on sampling of continual time densities of passing stages is proposed. Due to the method, initial semi-Markov process is converted to semi-Markov process with degenerative distributions, and the task of forfeit calculation is reduced to the task of rigid schedules effectiveness analysis, in which schedules are selected stochastically from the densities samples. Formulae for the stochastic summation of forfeits, is obtained. The results may be used for optimal planning the activity of participant teams when passing the distance.
    Keywords: relay-race; rigid schedule; semi-Markov process; degenerative distribution; evolution; distributed forfeit; recurrent procedure.
    DOI: 10.1504/IJISE.2020.10018057
     
  • Variable sample size control chart for monitoring process capability index Cpm   Order a copy of this article
    by Dja Shin Wang 
    Abstract: Abstract: Process capability indices (PCIs) provide numerical measures of process reproduction capability and are effective tools for quality assurance. In the present paper, we develop a variable sample size control chart, namely VSSCpm , to monitor PCIs for industry manufacturing to improve product quality. We set up the control limits; determine the upper and lower warning limits, fixed sample size, central region sample size, and warning region sample size for the control chart; and apply them to monitor PCICpm. We also use the average run length (ARL) as a monitoring performance indicator. To increase the in-plant applicability of the proposed method, we tabulate the performance value of the ARL for various commonly used situations. We perform a sensitivity analysis to study the effects of model parameters on the monitoring performance and then present an example to illustrate the proposed procedure.
    Keywords: Key words: Process capability index; Variable sample size control chart; Quality monitoring performance.

  • Channel Coordination under Predictive and Corrective Maintenance Outsourcing   Order a copy of this article
    by Yu-Chung Tsao, Arke Li, Vu-Thuy Linh, Zhang Qinhong, Lu-Wen Liao 
    Abstract: With respect to Industry 4.0, predictive maintenance plays an important role in production systems. A better predictive maintenance strategy is absolutely essential to an efficient, reliable and safe production process. This study considers a supply chain that consists of a manufacturer and an external contractor wherein the manufacturer is willing to outsource the predictive maintenance activities provided by the contractor. In order to achieve channel coordination, we introduce three incentive contracts: 1) maintenance cost subsidisation contract; 2) uptime target and bonus contract; 3) uptime reward contract, which enhance the cooperation willingness of the contractor and increases profit for both parties, thereby leading to a win-win situation. We also discuss the feasibility of the contracts given improvements in the failure rate and maintenance capability. Theoretical results show that the uptime target and bonus and uptime reward contracts can achieve channel coordination under specific conditions given increases in the failures rate and maintenance capacity. Numerical results are further presented to reveal the managerial insights.
    Keywords: predictive maintenance; corrective maintenance; maintenance outsourcing; channel coordination; contract design.
    DOI: 10.1504/IJISE.2020.10018903
     
  • Bibliometric Research Indicators for Green Supply Chain Modeling   Order a copy of this article
    by Mohammed Alkahtani, Shafiq Ahmad, Mohammed A. Noman, Husam Kaid, Ahmed Badwelan 
    Abstract: Bibliometric research is a statistical technique that analyses written publications like articles, reviews, or books from a quantitative perspective. This study provides an overall picture of the research in green supply chain modelling (GSCM) sciences. This paper proposes a methodology. First, the articles have been collected using Web of Science based on selected keywords from 1995 to 2018. Next, the most influential journals, articles, keywords, authors, and institutions have been determined in GSCM. Then, the country analysis has been performed to analyse GSCM studies with respect to its geographical distribution. Finally, the VOS viewer software has been used to visualise the bibliographic material through co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation analysis. The indicators identify the fundamental research in this field. It can be concluded that there is a high level of scattering in this field, with several effective nations, such as the USA.
    Keywords: Bibliometric; Green supply chain modeling; Sustainability.
    DOI: 10.1504/IJISE.2020.10019033
     
  • A Multi-Objective Scheduling Payment Pattern for Project Cash Flow by Considering Resource Constraints (A case study in power transfer system)   Order a copy of this article
    by Reza Kamranrad, Yaser Vahedi Geshniani, Iman Emami 
    Abstract: Financial aspects in project scheduling are specified by incoming and outgoing cash flows associated with events of the projects. As in the real world the project stakeholders are looking for benefit, here we have maximised project net value which is obtained from cost fraction of income. In fact, taking into account the objective function is it attempted that problem under study be closer to real-world issues. In this study, a mathematical model to maximise contractor net present value on the basis of payment pattern and consideration of resource constraint are presented. Since this issue is considered as NP-hard problems, to solve this, meta-heuristic multi-objective algorithms including NSGA-II, MOPSO and MOSA have been used. Finally payment patterns and an appropriate model are proposed to reduce the completion time and maximise the net present value of the project.
    Keywords: Project scheduling; payment patterns; meta-heuristic algorithms; comparison of payment patterns.

  • Forecasting the International Air Passengers of Iran Using an Artificial Neural Network   Order a copy of this article
    by Sadoullah Ebrahimnejad, Farzin Nourzadeh, Kaveh Khalili-Damghani, Ashkan Hafezalkotob 
    Abstract: Forecasting passenger demand is generally viewed as the most crucial function of airline management. In order to organise the entering air passengers to Iran, in this study, number of international air passengers of Iran in 2020 has been forecasted using an artificial neural network. For this purpose, first, countries that have a similar status to Iran on some indicators, have been recognised by using 11 indices. Afterward, number of their air passengers has been forecasted by using the various training algorithms. Then, number of international passengers of Iran has been forecasted using the weighted average and similarity percentage of other countries in defined indices. It should be noted that training algorithm for countries have been chosen based on experimental error and the prediction accuracy has been set at 99% of confidence interval. Comparison of the results obtained from present study and other studies shows high accuracy of the proposed approach.
    Keywords: Forecasting; Artificial Neural Network Algorithm; Air Transportation System; Time series; Training Algorithm.
    DOI: 10.1504/IJISE.2020.10019258
     
  • Order Quantity allocation for Total inventory cost optimization to selected suppliers through VIKOR Technique   Order a copy of this article
    by ADAM NAGA PHANEENDRA, V. Diwakar Reddy, G. Sankaraiah 
    Abstract: In modern era, no. of potential suppliers for the industries are considerably increased and minimisation of total inventory cost becomes complicated. In response to the concern, we present and address the problem in two stages which efficiently assists to figure out the best suppliers among many and allocates order quantity to each supplier so as to mitigate overall inventory cost. Firstly, potential suppliers are listed and quantitative, qualitative data are collected based on opinion and judgemental survey. The normalised data is represented in square matrix and ranking is awarded to suppliers using utility measures and regret measures. Secondly, the fitness function is formulated and necessary constraints that primarily influences objective function is framed as nonlinear programming model. Further, the model is solved using LINDO software for its optimal solutions. The results show that the model considerably reduces total cost function as no. of orders from customer's increases.
    Keywords: order quantity; Inventory management; supplier selection; VIKOR method.
    DOI: 10.1504/IJISE.2020.10019260
     
  • Simultaneous Supplier Selection and Network Configuration for Green Closed-Loop Supply Chain under Uncertainty   Order a copy of this article
    by Mohammad Yavari, Mohaddese Geraeli, Mohammad Aftabsavar 
    Abstract: The current study integrates two strategic decisions, network configuration and selecting suppliers, for the green closed-loop supply chain under uncertainty. The demand and the rate of return are uncertain parameters. A robust multi-objective mixed-integer linear programming model is projected for the problem. The multi-period and multi-product model seeks to configure the network along with selecting suppliers and determining the type of technology used by manufacturers and recovery centres. The objectives include minimising the cost, minimising CO2 emission and maximising the weight of the suppliers. A two-stage model is utilised to solve the problem. The performance of the two-stage robust model is investigated in several numerical examples. The results revealed that the robust model compared to the deterministic model has better quality and is more reliable. Moreover, with a small additional cost, imposed by the robust model to face uncertainty, the robust model decreases the CO2 emission and has no infeasibilities.
    Keywords: Green closed-loop supply chain; Supplier selection; Network configuration; Uncertainty; Robust optimization.
    DOI: 10.1504/IJISE.2020.10019294
     
  • SCHEDULING OF AUTOMATED GUIDED VEHICLES AND MACHINES IN FLEXIBLE MANUFACTURING SYSTEMS: A SIMULATION STUDY   Order a copy of this article
    by Essam Kaoud, Mohamed El-Sebaie, Mahmoud El-Sharief, Mahmoud Heshmat 
    Abstract: Flexible manufacturing systems (FMSs) have widely expanded in industry sectors all over the world. Scheduling is one of the problems that face the life cycle of FMSs. This paper introduces the simultaneous scheduling problem of automated guided vehicles (AGVs) and machines in FMSs. The study is based on discrete event simulation (DES) to solve that problem using benchmark data used by previous studies. The objective of this study is to determine the starting and completion times of each job to minimise the makespan. The results validate the robustness of the simulation model, especially for large-scale problems. Furthermore, they are compared against the other approaches and show consistency.
    Keywords: FMSs; AGVs; Scheduling; Simulation.
    DOI: 10.1504/IJISE.2020.10019488
     
  • RETAILER LAYOUT DESIGN: A NOVEL HYBRID APPROACH WITH ASSOCIATION RULES MINING AND MCRAFT   Order a copy of this article
    by Ali Osman Ku?akc?, Elif Karakaya 
    Abstract: Spatial layout of a retail store is a crucial decision variable related to both utilisation of store area and purchasing behaviour of the customer. In this respect, the task of optimising the allocation of shelves to specific product segments has become a strategic decision to facilitate a more comfortable shopping environment for customers, which, in turn, increases sales volume. This study proposes a novel hybrid approach to facility layout design problem, which combines association rules mining (ARM) and a facility layout method, MCRAFT. The proposed methodology is composed of two main stages: 1) rule mining; 2) layout design. More specifically, the presented approach exploits the association rules obtained from purchasing records and uses them as a proximity measure input to MCRAFT algorithm to determine the layout of the store. The merit of the proposed methodology is shown with a case study on a prominent Turkish supermarket chain.
    Keywords: Association Rule Mining; Facility Layout Algorithm; Supermarket Layout; Apriori Algorithm.
    DOI: 10.1504/IJISE.2020.10019544
     
  • Minimizing Makespan in Embedded Real-Time Systems with Failure Rate Requirements   Order a copy of this article
    by Hamoudi Kalla, Salim Kalla, Sonia Sabrina Bendib, Riadh Hocine 
    Abstract: Scheduling of real-time tasks in embedded real-time systems with quantitative reliability requirements, such as failure rate, is one of the important issues in system design. In this paper, we present a real-time scheduling heuristic that minimise makespan and satisfy reliability requirements for systems that are subject to processor and communication faults. The heuristic is based on a cost function to minimise makespan and on task redundancy to meet reliability requirements. Our approach is dedicated to heterogeneous architectures with multiple processors linked by several shared buses. It is based on active redundancy and data fragmentation strategies, which allow fast error detection and error handling. Thanks to the above-mentioned strategies, we are able to show with simulation results that our approach can generally reduce the run-time overhead.
    Keywords: task scheduling; embedded systems; real-time systems; makespan; failure rate; reliability; task redundancy.
    DOI: 10.1504/IJISE.2020.10019672
     
  • PSO-based algorithm for solving lot splitting in unbalanced seru production systems   Order a copy of this article
    by Zhe Zhang, Yong Yin, Luming Shao 
    Abstract: Seru production system is one of responsive and flexible systems to cope with uncertain demands or changes in current volatile market, and the design of this system involves many structural and operational factors. One of the most important steps is the formation of seru production system, including worker assignment and order scheduling. This paper aims to address a scheduling problem in unbalanced seru production system with lot splitting, where the non-zero setup time is also considered. After describing the problem, a comprehensive mathematical model is proposed to confirm seru formations and arrange orders to different serus. Subsequently, motivated by the particular nature of proposed model, a solution method based on PSO algorithm is designed to assign workers to each seru and determine the productivity, and the optimal assignment of sub-orders is also decided. Finally, an illustrative numerical example is presented to validate the effectiveness of proposed model and solution method.
    Keywords: Line-seru conversion; scheduling; lot splitting; particle swarm optimization.
    DOI: 10.1504/IJISE.2020.10019673
     
  • Coupling Influence of Multiple Disruptions in Supply Chain   Order a copy of this article
    by Hui Hu, Hai Ma, Jing He, Baowen Li, Yang Gao 
    Abstract: To analyse the coupling influence of multiple disruptions, this study proposed a coupling utility model of multiple disruptions in a supply chain. The model was constructed based on the two functions of utility and degree of coupling. Then the supply chain model under disruptions was built and Anylogic was applied to simulate the coupling influence on the supply chain system. Taking the fire-explosion at the Port of Tianjin as an example, the coupling utility degree between disruptions was calculate. Then the simulation results were obtained to analyse the coupling influence under various characteristics of disruptions. Results show that the proposed methodology could analyse the coupling influence quantitatively and visually. The intensity coefficient of disruption is more significant than its frequency coefficient for the case. The research will provide reference for the control of multiple disruptions.
    Keywords: supply chain; multiple disruptions; coupling; utility; simulation.
    DOI: 10.1504/IJISE.2020.10019968
     
  • Analysis of the performance of competing models for aggregate demand forecasting using observable data characteristics   Order a copy of this article
    by Rajagopalan Sridharan, N. Jayasree, Radha Ramanan 
    Abstract: This paper provides an analysis of the performance of two simplified approaches for forecasting the aggregate demand for a product family consisting of two interrelated items. The correlated demand characteristic of the product family is modelled by bivariate vector IMA(1, 1) process. The forecasting approaches chosen for evaluation are univariate scheme and aggregate scheme. The performances of these methods are analysed by theoretically determining the forecast mean square error (MSE) in terms of observable data characteristics. Further, subsequent evaluation of percentage changes of these MSEs with respect to the MSE of original bivariate model has been conducted to determine how far the forecast MSE values deviate from the original model. Through numerical experimentation, the necessary and sufficient conditions in terms of observable data characteristics are determined for the two approaches to be equal in terms of forecast MSE of the original bivariate model.
    Keywords: Aggregate demand forecast; Vector IMA (1,1) model; observable data characteristics.
    DOI: 10.1504/IJISE.2020.10020225
     
  • Modeling and optimization of duplex turning of titanium alloy (grade 5) using Taguchi methodology-response surface methodology (TM-RSM)   Order a copy of this article
    by Sunil Kumar, Ravindra Nath Yadav, Raghuvir Kumar 
    Abstract: Duplex turning is an innovative idea of metal cutting that shows potential to improve the productivity with better quality. In duplex turning, two cutting tools are used as parallel to each other and perpendicular to the workpiece axes for getting the desired surface quality in single pass turning operation. The use of two cutting tools makes the process very complex which requires optimal parameters to enhance the productivity with quality. In present work, the parameters are optimised by applying a Taguchi methodology (TM) and optimised parameters are utilised as central values for further analysis. The central data are used to collect the experimental results for response surface methodology (RSM) for modelling and optimisation of control parameters such as cutting speed, feed rate, primary depth-of-cut (DOC) and secondary-DOC to optimise responses as primary-cutting force, secondary-cutting force and average surface roughness using TM-RSM techniques. The result shows the significant improvement in the responses with TM-RSM approach as primary-cutting force = 18.67%, secondary-cutting force = 15.80% and surface finish = 13.30% than the TM optimised values.
    Keywords: Cutting Force; RSM; Surface Roughness; Taguchi; Turning; Modeling: Optimization; ANOVA.
    DOI: 10.1504/IJISE.2020.10020229
     
  • Inventory- Routing Mathematical Model in Transportation Fleet of a Bike Sharing Distribution Network   Order a copy of this article
    by Hadi Shirouyehzad, Mahsa Soroushnia 
    Abstract: Todays, bike sharing system as a non-motorised transportation system and compatible with the environment has attracted a lot of attention in the field of public transportation. One of the issues that has been considered by some researchers in recent years is bike sharing rebalancing problem that is related to the provision of the required bike for stations and their inventory management. The proposed model is an integer nonlinear programming that is able to rebalance BSS by considering the appropriate inventory policies. The purpose of this model is finding optimal routes for the fleet of vehicles (trucks) and using the suitable trucks to traverse these routes and minimising costs of rebalancing operations in multiple periods. The efficiency of the model is proved by solving two numerical examples by the GAMS software.
    Keywords: Bike Sharing System (BSS); Bike sharing Rebalancing Problem (BRP); Inventory-Routing Problem (IRP); Mathematical Modelling.
    DOI: 10.1504/IJISE.2020.10020231
     
  • Effects of Supply Disruption on Optimal Inventory Policy: The Case of (r,S) Continuous Review Inventory Policy   Order a copy of this article
    by Chirakiat Saithong, Huynh Trung Luong 
    Abstract: In this study, we focus on the derivation of an optimal inventory policy to help tackle the supply disruption problem. The main objective of the study is to derive an optimal inventory policy for a retailer who is facing stochastic supply disruption and stochastic demand, operating under a (r, S) continuous review policy so as to minimise the total inventory cost per time-unit. Renewal reward theorem is used to help develop the total inventory cost function which consists of order cost, time-dependent holding and shortage costs in the existence of replenishment lead time. Numerical experiments and sensitivity analyses are then conducted to illustrate the applicability of the developed inventory policy.
    Keywords: Supply disruption; continuous review inventory policy; stochastic demand; renewal reward process; expected path approach.
    DOI: 10.1504/IJISE.2020.10020418
     
  • Ranking of Univariate Forecasting Techniques for Seasonal Time Series using Analytical Hierarchy Process   Order a copy of this article
    by Sharfuddin Ahmed Khan, Iram Naim, Tripti Mahara 
    Abstract: The choice of a suitable forecasting method carries noteworthy significance for organisations in adequately accomplishing their business targets. The selection of forecasting method becomes more sophisticated when there is a significant impact of seasonality on the business of an organisation. To deal with the situation of selecting the most relevant forecasting method for seasonal data, this paper proposes a framework using analytical hierarchy process (AHP) to rank various forecasting techniques for long time series. Accuracy measures namely Theils U, mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE) are used as AHP criteria for performance measurement of various univariate time series methods such as na
    Keywords: Time Series Analysis; Forecasting; AHP; Seasonality; TBATS; SARIMA; Accuracy Measures.
    DOI: 10.1504/IJISE.2020.10020521
     
  • Impact of consumption behaviour on stock-induced material waste   Order a copy of this article
    by Neeta Sharma, Prem Vrat 
    Abstract: This paper attempts to examine the impact of consumption behaviour on material waste due to stock-induced consumption phenomenon and introduces an entirely new behavioural dimension to inventory management practices. Stock-induced consumption phenomenon is linked with material waste and a case of water resource wastage due to stock-induced consumption is analysed here from the behavioural perspective. To analyse the behavioural aspects in water resource wastage, a MATLAB simulation program is developed by taking reference of one of the available stock-induced consumption inventory control models. The results obtained in the form of indifference curves reveal the conspicuous increase in water waste due to poor behavioural traits. Based on the results obtained, a concept of behavioural consumption grid is developed to provide insights which can be used in devising policies for reducing stock-induced material waste.
    Keywords: stock-induced consumption; behavioral grid; indifference curve; simulation; behavioural parameter; behavioural inventory management; material waste.
    DOI: 10.1504/IJISE.2020.10020525
     
  • Application of Artificial Immune System Algorithm for Simultaneous Minimization of Multiple Objectives in Single Row Facility Layout Problems   Order a copy of this article
    by Lenin N, Siva Kumar Mahalingam, Jayakrishna K, Selvakumar G 
    Abstract: In this paper, an artificial immune system (AIS) algorithm is proposed to solve single row facility layout problem (SRFLP) for obtaining a best layout design of machines, which simultaneously minimises the multiple objectives. The multi-product environment with multiple objectives is considered in this work and it is a non-polynomial hard problem too. Total number of machines in the layout, total flow distance of products, total length of the flow line and total material handling cost are considered as objectives. Four problems are taken from Lenin et al. (2018) and four problems are randomly generated to obtain the best layout using AIS. The reduction in objective values is good by the proposed AIS algorithm compared with Lenin et al. (2018). In addition, the computational time for all the eight problems by the proposed AIS method is less compared with Lenin et al. (2018).
    Keywords: Artificial Immune System Algorithm; Single Row Facility Layout Problem; Best Layout; Multi-Product Environment; Multiple Objectives.
    DOI: 10.1504/IJISE.2020.10020891
     
  • Usability in computerized mobile assistance solutions   Order a copy of this article
    by Dorra Zaibi, Meriem Riahi, Faouzi Moussa 
    Abstract: The awareness of the importance of system usability is in a constant boosting. Considering usability has been more and more recognised as one of the indispensable quality factors in the success of an interactive system. This paper explores in this direction the importance of usability in context-aware user interface design for computerised mobile maintenance solutions. We propose a methodology for incorporating contextualised usability requirements in the development process of mobile applications in industrial maintenance sector. An illustrative case study was presented in a typical industrial environment to validate our proposal. Finally, an experimental evaluation was conducted with end users to evaluate our proposal.
    Keywords: Mobile industrial maintenance; computerized management maintenance system; usability; context-awareness; human-computer interface; model-driven development.
    DOI: 10.1504/IJISE.2020.10021140
     
  • An Effective Approach for Aid Planning on Multi-Type Transportation Networks After a Disaster   Order a copy of this article
    by Saber Shiripour, Nezam Mahdavi-Amiri 
    Abstract: We present a new approach for emergency response planning to the injured on a multi-type transportation network. We consider a three-type transportation network with separate connection links simultaneously: road, rail and air networks. In this study, a circle-based approach is presented where using concentric circles with various radiuses, different levels of the effect of a disaster are considered. After formulating the relations, we present an integer nonlinear programming model for the problem. The model is to determine the locations for establishment of temporary aid stations among the candidate locations, the type of aid stations, the percentage of the injured allocated to each station, the percentages of the injured allocated to different routes and the number of vehicles and the type of transportation network so that the total relief time is minimised. Finally, we test and analyse a numerical example of the earthquake problem in a typical transportation network in detail.
    Keywords: Location-allocation-routing problem; Multi-type transportation network; Disaster response; Mathematical programming model.
    DOI: 10.1504/IJISE.2020.10021145
     
  • An efficient teaching-learning-based optimization algorithm (TLBO) for the resource-constrained project scheduling problem   Order a copy of this article
    by Dheeraj Joshi, M.L. Mittal, Manish Kumar 
    Abstract: This work proposes a teaching-learning-based optimisation algorithm as an alternate metaheuristic to solve the resource-constrained project scheduling problem (RCPSP). A precedence feasible activity list is employed for encoding the solutions whereas serial schedule generation scheme (SGS) is used as the decoding procedure to derive the solutions. In order to have good initial population, we employ a regret-based sampling method with latest finish time (LFT) priority rule. In addition to teacher and learner phase in basic TLBO, the proposed work also applies two additional phases namely self-study and examination for improving its exploration and exploitation capabilities. The algorithm is tested on well-known instance sets from literature. The performance of the algorithm is found to be competitive with the existing solution approaches available to solve this problem.
    Keywords: Resource-constrained project scheduling; metaheuristics; teaching-learning-based optimization algorithm.
    DOI: 10.1504/IJISE.2020.10021146
     
  • Modular product architecture to manage product development complexity   Order a copy of this article
    by Ahm Shamsuzzoha, Sujan Piya, Petri Helo, Mohammed Alkahtani 
    Abstract: Shorter product life cycles, together with heterogeneous market demands, are forcing manufacturing companies to eliminate or reduce complexities in product development and supply chain. These complexities arise due to high level of interdependencies between component interfaces and supply chain participants. To address such complexities, companies need to focus on their product architecture and supply chain design. In this research, the impact of product architecture on developing modular products is highlighted. This modular principle is elaborated with the objective to reduce product development complexities. A case example is presented to define the importance of product architecture with the help of a design structure matrix (DSM) tool to reduce product development complexity. In addition, various drivers responsible for supply chain complexities are identified and categorised, and the relationship between product architecture and supply chain complexities are defined within the scope of this research.
    Keywords: Product architecture; design structure matrix; product modularity; product complexity; case study.
    DOI: 10.1504/IJISE.2020.10022519
     
  • Factors Affecting Spine Loading in a Box Lifting Task: A Digital Human Modeling Study   Order a copy of this article
    by Osama Al-meanzel, Faisal Aqlan, Abd Al-Rahman S. Al-Shudiefat, Hesham A. Almomani 
    Abstract: This paper presents a digital human modelling (DHM) study of a box-lifting task considering human physical characteristics (i.e., gender and percentile) and task requirements (i.e., posture and force). Two response variables are considered: compression force on L4/L5 and the tension on right/left Latissimus Dorsi muscle. Multivariate analysis of variance (MANOVA) was used to analyse the data. Results showed that lower back compression force is positively correlated with Latissimus Dorsi muscle tension (r = 0.94). Moreover, the 95th percentile male in standing position experienced the highest compression force on the lower back; however, both males and females had similar muscle tension.
    Keywords: Lower back disorders; lifting; manual material handling; digital human modeling,.
    DOI: 10.1504/IJISE.2020.10023277
     
  • Analyzing challenges for Internet of Things adoption in agriculture supply chain management   Order a copy of this article
    by Sunil Luthra, SANJEEV YADAV, Dixit Garg 
    Abstract: Internet of things (IoT) has gained noticed throughout the world. It has changed the agricultural supply chain and permits farmers and food processing organisation to compete with massive issues they face. Currently, IoT is at developing stage for its implementation in agriculture supply chain (ASC). Therefore, purpose of this paper is the identification of critical challenges in IoT adoption for ASC. In this paper technique of order preference similar to ideal solution (TOPSIS) methodology adopted to prioritise the identified challenges. Findings introduce some recent technology in IoT field and also ten critical challenges in IoT adoption. This paper concluded that IoT-based infrastructure for ASC is the most important challenge and IoT-based cloud system is the worst challenge. This paper also has managerial implications for organisation’s managers to adopt IoT in the ASC to improve their competitiveness. This paper may be further used in various Industry 4.0 applications.
    Keywords: Internet of Things (IoT); Agriculture Supply Chain (ASC); Technique of Order Preferences Similar to Ideal Solution (TOPSIS); Radio Frequency Identification (RFID).
    DOI: 10.1504/IJISE.2020.10023301
     
  • An ACO Algorithm for Scheduling a Flow Shop with Setup Times   Order a copy of this article
    by Shanthi Muthuswamy, Miguel Rojas-Santiago, Maria Hulett 
    Abstract: A flow shop scheduling problem with setup times has been studied in a food processing setting. This company packs cooking sauces and spices. The objective is to minimise the makespan (Cmax) taking the setup times into consideration. Given that this problem in NP-hard, an ant colony optimisation (ACO) algorithm has been developed to find the initial solution which is further improved using 2-opt and 3-opt local heuristic. Using Taillard's benchmark problems' processing times and randomly generated setup times, 60 problem instances were computed for 50 to 200 jobs using 10 and 20 machine scenarios. These Cmax values were compared against the results obtained through a particle swarm optimisation (PSO) metaheuristic. The results clearly show that the ACO algorithm schedules the machines consistently well to minimise the Cmax value in comparison to the PSO algorithm.
    Keywords: ACO; Scheduling; Makespan; Flow shop; Setup time; PSO.
    DOI: 10.1504/IJISE.2020.10023650
     
  • Impact of Product-Package Design on Material Waste due to Stock-Induced Consumption Phenomenon   Order a copy of this article
    by Neeta Sharma, Prem Vrat 
    Abstract: This paper attempts to examine the impact of product-package design in influencing the consumption behaviour due to stock-induced consumption phenomenon. The exploratory research presented in this paper shows how a design feature in a product or packaging can enhance consumption rate over the normal consumption resulting in waste. It also reports the findings of primary research data collected through controlled condition experimentation on two consumable products from FMCG category toothpaste and shampoo. It is shown that a bigger orifice size results in extra consumption in tubed or bottled products and the discounts offered by the manufacturer on bigger size products may be more than offset by the excess stock-induced consumption due to orifice size. The orifice size and product viscosity play significant role in controlling stock-induced material waste. The paper suggests the need for standardisation of orifice size and product viscosity to minimise the material waste in such products. Additionally, this research explores the effect of instantaneous volumetric stock availability for consumption in toothpaste tube on its consumption rate and attempts to estimate stock-dependent consumption parameters and for the consumption of toothpaste.
    Keywords: stock-dependent demand; stock-induced consumption; product and package design; sustainable consumption; orifice size; material waste.
    DOI: 10.1504/IJISE.2020.10023774
     
  • Cost Optimization of a Discrete-time Retrial Queue with Bernoulli feedback and Starting failure   Order a copy of this article
    by Shweta Upadhyaya 
    Abstract: this paper, we explore the performance characteristics of a discrete-time Geo/G/1 retrial queue with Bernoulli feedback where the server is subjected to starting failure. On the arrival of a customer, the server may either resume its service successfully with probability ? or may not resume its service successfully with probability due to some faults which in turn force the server to repair and the customer may join the orbit. The service time, retrial time and repair time are general distributed. The purpose of this paper is two-fold. Firstly, we use generating function method and supplementary variable technique to derive expressions for system size, orbit size and other performance measures. Secondly, for a cost-effective system, we have found the optimal values of some critical system parameters such that the total system cost is minimised using particle swarm optimisation (PSO) technique. Finally, sensitivity analysis is also provided.
    Keywords: Discrete-time retrial queue; Preferred customer; Impatient customer; Bernoulli feedback; Starting failure; System size; Particle Swarm Optimization.
    DOI: 10.1504/IJISE.2020.10023795
     
  • Prioritization of attributes of green leanness & agility to achieve sustainable strategic advantages in Indian automotive SMEs environment.   Order a copy of this article
    by Rupesh Tiwari, Jeetendra Tiwari 
    Abstract: Fast changing customer taste, increasing global competition, and stiffer environmental norms forced organisations worldwide to device novel manufacturing strategy. The present research focused on novel approach to model green lean and agile manufacturing with the factors of sustainable strategic advantage within Indian automotive SMEs environment by applying structural equation modelling. Weight assignment of various factors are done applying entropy value methodology. After validating the model, various attributes of green lean and agile manufacturing were ranked using variety of MCDM techniques in relation to sustainable strategic advantage. Ranking has been finalised using the novel and most robust MULTIMOORA algorithm. Ranking suggested most important attributes were customer satisfaction, closely followed by problem prevention and identification, responsiveness, and others. Outcome may help in prioritisation of various attributes of green lean and agile manufacturing in order to develop more productive manufacturing system to attain significant sustainable strategic advantage for Indian SMEs in automotive sector.
    Keywords: Prioritization; Sustainable strategic advantage; India automotive SMEs; Green; lean & agile manufacturing; Structural equation modelling; Entropy value methodology; MCDM.
    DOI: 10.1504/IJISE.2020.10023876
     
  • Retrospective investigation of flexibility factors in additive manufacturing system   Order a copy of this article
    by Abid Haleem, Mohd Javaid, Shahbaz Khan, Mohd Imran Khan 
    Abstract: Additive manufacturing (AM) systems provide extensive flexibility by enabling improved product design, customisation and part printing. There is a need to understand these flexibilities and identify the respective factors of each of them, and further identify the relative importance of these flexibilities and their associated factors. The extensive literature review has helped in identifying the significant flexibilities and their associated factors. This research categorises the AM flexibility into seven significant types. These flexibilities are found to play a significant role in implementing AM in industries for achieving enhanced performance. Ranking of these flexibilities and their factors is accomplished using analytical hierarchical process (AHP) by taking the help of experts opinion. AM provides flexibility which can be appropriately used to support different types of organisations. The limitation of the paper is that the view of experts may not always be free from bias, and the technology is evolving. Industries use these flexibilities in customisation, product design and development, reverse engineering and innovation of products.
    Keywords: 3D Printing; 3D Scanning: Additive Manufacturing (AM); Analytical Hierarchical Process (AHP); Flexibility; Product Design; Rapid Prototyping.
    DOI: 10.1504/IJISE.2020.10023880
     
  • Monitoring Strategy for a Multistage Manufacturing Facility Using K-Means Clustering Technique   Order a copy of this article
    by Swarnambuj Suman, Anupam Das 
    Abstract: The article proposes a process monitoring strategy for a multistage manufacturing facility. In past, researchers have attempted to develop monitoring strategies for multistage processes using multi-block principal component analysis (MBPCA) which requires comprehensive process knowledge. But in most of the cases, the complete acquaintance with the process knowledge may not be possible. Hence, in such cases, a suitable clustering algorithm-based classification of process parameters may be performed. The current article proposes a methodology articulated via amalgamation of the K-means clustering algorithm and traditional MBPCA for monitoring of a process. K-means clustering algorithm is capable of clubbing the process parameters into relevant blocks without any prior process knowledge. In order to validate the devised strategy, a case study related to a multistage manufacturing facility engaged in production of rail blooms is considered. The outcome of the devised strategy has been compared with the outcome of regular MBPCA-based monitoring strategy which is used when the process knowledge is available.
    Keywords: K-means Clustering Algorithm; Multi Block Principal Component Analysis; Multistage manufacturing facility; Process Monitoring; Fault Detection; Fault Diagnosis; Principal Component Analysis.
    DOI: 10.1504/IJISE.2020.10023947
     
  • Large-Scale Model and Solution for Integrated Maintenance Routing and Tail Assignment Problem in Airline Industry   Order a copy of this article
    by Rajagopalan Sridharan, Ajyuk Jayaraj, Vinay Panicker 
    Abstract: The airline planning and scheduling functions are generally performed in sequential manner which makes the schedule yield to disruptions. This paper presents an integrated maintenance routing and tail assignment problem (IMRTAP), a paradigm of embedding the tactical and operational planning. This is a relatively new approach in airline planning where the aircraft routing is re-optimised with the consideration of tail assignment and semi-integration of crew scheduling. This aids in the design of a more robust schedule with up-to-date operational information regarding the aircraft. The problem is formulated as a combination of set partition and multi-commodity network model. The model is solved using a modified restrict-and-relax as an efficient strategy to tackle large-scale instances. Six real-world instances are used to test the model with the problem size as large as 50 lakh variables in the largest instance. In addition to efficient solving, perturbation is introduced to the problem to deal with degeneracy in large problems.
    Keywords: Maintenance Routing; Tail Assignment; Airline Scheduling; Integrated Planning; Combinatorial Optimization; Ad-hoc Maintenance; Large-Scale Optimization.
    DOI: 10.1504/IJISE.2020.10023976
     
  • Enhancing Situational Awareness on Fragmented Information in Complex Systems with Workflow Information Network Analysis   Order a copy of this article
    by Lasse Metso, Salla Marttonen-Arola, Samu Linnimaa, Sini-Kaisu Kinnunen, Timo Kärri 
    Abstract: In industrial contexts, information is usually fragmented into a complex network of organisations and systems. To develop their information management, the organisations need to obtain and maintain situational awareness of their workflows, and identify and understand relevant information and how the planned actions affect the system in the near future. This paper introduces workflow information network analysis, a managerial method for analysing and improving situational awareness in complex systems. The method is built on the principles of information management, product lifecycle management and value network analysis. A six-step process for applying the method is presented, and the validity of the method has been demonstrated with a case study in which the information flows of a networked aircraft maintenance organisation are analysed. The case study shows that the method enables the identification of discontinuities and bottlenecks in information flows, as well as produces suggestions for further development.
    Keywords: situational awareness; Workflow Information Network Analysis; WINA; information flows; case study; aviation; aircraft maintenance; complex system; fragmented information.
    DOI: 10.1504/IJISE.2020.10024087
     
  • Optimal delivery and replenishment policies for perishable products considering lost sale cost: An efficient hybrid algorithm   Order a copy of this article
    by Mahla Babagolzadeh, Mohammadali Pirayesh, Anup Shrestha 
    Abstract: In today's competitive global market, improving the quality of customer service and waste reduction are two important factors to maximise the profits of a system. These goals can be achieved throughout well-managed logistical operations such as proper inventory management and timely delivery of perishable items to customers. This paper presents an integrated mathematical model that schedules replenishment of a perishable product to determine delivery routes, truck loads and inventory levels, where the vehicle arrival time has a direct impact on the quantity of the product delivered to customers. Given the NP-hard nature of the problem, finding optimum or near optimum solutions in polynomial time is challenging, therefore a hybrid algorithm based on a linear programming model and a simulated annealing algorithm is developed to solve the problem efficiently. The proposed method achieves a solution near-optimal solution in an efficient computational time. Finally, an analysis is carried out to verify the effectiveness of the algorithm.
    Keywords: Keywords: Inventory-routing problem; lost sale cost; Meta-heuristic algorithm; Perishable product.
    DOI: 10.1504/IJISE.2020.10024103
     
  • Selection of optimal assembly strategy at an engine assembly plant using fuzzy multi-criteria decision-making tools   Order a copy of this article
    by L.N. Pattanaik, Abinash Jena 
    Abstract: This paper is presenting a methodology to select an optimal assembly strategy using two fuzzy multi-criteria decision making (MCDM) tools as illustrated in a case study of an engine assembly plant. Based on an automotive engine assembly system, the existing challenges and related criteria are identified. Four potential assembly strategies compatible with existing system are developed to address the challenges. Two different fuzzy MCDM tools (VIKOR and TOPSIS) are applied for the multi-criteria problem to select the optimal assembly strategy. Four decision makers (DMs) from middle-level management are involved during the process. A comparison of results from the two MCDM tools is performed to consolidate the decision. For the present case, reconfigurable assembly system (RAS) is found to be the most preferred assembly strategy by both the MCDM tools. The ranking for rest of the alternatives are also found.
    Keywords: Assembly Strategy; Reconfigurable Assembly Systems; Multi-Criteria Decision Making; Fuzzy-VIKOR; Fuzzy-TOPSIS.
    DOI: 10.1504/IJISE.2020.10024536
     
  • Analysis, Design and Development of Advanced Planning Systems   Order a copy of this article
    by Melina Vidoni, Jorge Marcelo Montagna, Aldo Vecchietti 
    Abstract: Small and medium-sized organisations (SMO) often need to optimise their operations to improve their effectiveness in a competitive world. Advanced planning systems (APS) emerged to provide optimal operations in several areas of an organisation, including production planning and scheduling, logistics, financial, among others. Currently, there is a gap in the literature regarding proposals, from a software engineering perspective, to assist SMOs in the design and development of APS systems. This article proposes an architecture for the APS domain that supports the implementation of specific applications and can be adapted through variation points. The proposal is evaluated with architecture trade-off analysis method (ATAM) involving two different groups of stakeholders. Also, a process is included to show how to use the architecture in the implementation of a specific case. Finally, a case study based on a local industry is developed.
    Keywords: Advanced Planning Systems; Software Architecture; Software Analysis and Design.
    DOI: 10.1504/IJISE.2020.10024547
     
  • Study of issues related to constraints in FMS by ISM, fuzzy ISM and TISM   Order a copy of this article
    by Vineet Jain, Tilak Raj 
    Abstract: The purpose of this research is the identification of issues related to constraints in the flexible manufacturing system (FMS). FMS comprises different resources as machine tool, material handling system with computer control, etc. FMS offers high utilisation of resources, less labour costs, less work-in-process inventories, shorter lead times, etc. Machine tools are required to produce different parts. Robots and automated guided vehicles (AGVs) are included in FMS material handling system. This paper shows the study of different constraints in FMS. Modelling of these constraints is performed by interpretive structural modelling (ISM), fuzzy ISM and total ISM (TISM) approaches. The driving and the dependence power of the constraints are analysed by MICMAC and fuzzy MICMAC. To validate the driving power of variables, the relative importance of variables is determined by AHP methodology. Finally, concluded that fixture and robot are the key variables of FMS constraints.
    Keywords: FMS; ISM; TISM; AHP; fuzzy ISM; constraint.
    DOI: 10.1504/IJISE.2020.10024552
     
  • Vibration Measurement and Analysis in Carton Clamp Truck Handling   Order a copy of this article
    by Jonghun Park, Jongmin Park, Sangil Choi, Jongsoon Kim, Ghiseok Kim 
    Abstract: The purpose of this study was to construct power spectral density (PSD) profiles to analyse carton clamp truck handling environments. It also aimed to investigate the effects of payload, travelling speed, and tyre type on vibration levels of the main body and attachment of the clamp truck. Three types of PSD profiles of carton clamp truck handling were constructed for three different test courses designed based on a case study in the home appliance industry, ASTM D6055 and ISTA 3B. Experimental results showed that the overall root mean square acceleration of the new test course designed based on the actual handling environment in the home appliance industry is between the data obtained from ASTM D6055 and ISTA 3B test courses. The vibration levels measured at both the main body and attachment of the clamp truck increased with travel speed, they also increased when payload decreased.
    Keywords: Vibration measurement; Power spectral density; Carton clamp truck handling; Driving test course.
    DOI: 10.1504/IJISE.2020.10024633
     
  • Experimental study on vibration control of equipment in industrial building   Order a copy of this article
    by Changsheng Wang 
    Abstract: Control the vibration of the device with a viscous damper. Firstly, the finite element model of the plant structure is established by using the finite element software ANSYS. Then, the scale model of shaking table test is designed and the shaking table test is carried out on the condition that no control and the viscous damper are installed on the equipment. The self-vibration characteristics of the structure were obtained by experiments, compare the results of the test without control and the results of ANSYS calculation, comparison of test uncontrolled results and results of viscous damper control. The results show that the viscous damper has a good control effect on the vibration of the equipment in the steel structure workshop. Research results can provide reference for vibration control of equipment.
    Keywords: Steel structure plant; equipment vibration; viscous damper; vibration control; equipment study.
    DOI: 10.1504/IJISE.2020.10024637
     
  • Blast Testing and Numerical Simulation Analysis of Diversion Tunnel Upper Section for Qianping Reservoir   Order a copy of this article
    by Wenliang Ma, Qiu-gui YANG, Guangyao Zhang 
    Abstract: This paper expounds the basic theory of rock mass blasting technology, the rock blasting excavation of Qianping reservoir project was taken as an example, by means of numerical simulation and experimental research, the finite element model for rock blasting excavation in Qianping reservoir is established. The rock blast on the upper section of the diversion tunnel for Qianping reservoir is simulated by using the dynamic analysis module LS-DYNA in the finite element method analysis software ANSYS, through the comparative analysis of blast testing and numerical simulation results. The results show that, the dynamic analysis results are in good agreement with the field test, the correctness and validity of the finite element model are proved, finite element dynamic analysis model is a general calculation model, rock mechanics parameters in the model can be adjusted in the calculation process, it can be used to simulate the blasting excavation process of different rock properties.
    Keywords: Diversion tunnel; Blast testing; Numerical simulation; LS-DYNA; Parameters of hole arrangement; Data of explosive filled.
    DOI: 10.1504/IJISE.2020.10024644
     
  • Design of Urban Landscape Visual Simulation System based on Three-dimensional Simulation Technology   Order a copy of this article
    by Song Yang, Jing Yang 
    Abstract: Aiming at the problems of inaccurate visual modelling of urban landscape and high cost of the system, a visual simulation system of urban landscape based on three-dimensional simulation technology is proposed and designed. For the hardware part, the overall framework of the system is designed, and the static landscape modelling and dynamic landscape driving are analysed, respectively. For the software part, the development process of the visual simulation system for urban landscape is described, the urban landscape plan is acquired, and the urban landscape model library is constructed. The experimental results show that the accuracy of the visual modelling system for urban landscape designed by the proposed method is over 80%, and the accuracy is good. The highest cost coefficient used in the visual simulation system for urban landscape is 0.7, the cost is low, and the users are satisfied with the system.
    Keywords: Three-dimensional simulation technology; urban landscape; vision; system design.
    DOI: 10.1504/IJISE.2020.10024645
     
  • Simulation of Grasping Attitude Control of Robotic Arm Based on Synovial Error Feedback   Order a copy of this article
    by Zhimin Lv 
    Abstract: In order to improve the attitude stabilisation of robotic arms during grasping, a method of grasping attitude control of the robotic arm based on synovial error feedback is proposed. Based on it, the attitude parameter information of the robotic arm is measured and fused by using multi-sensor fusion information acquisition method to construct a constraint parameter model and control objective function for grasping attitude control of the robotic arm. The experimental results show that the proposed method has high control precision in the attitude control of the robot arm, and can accurately track the position information of the object to be captured in real time, realise zero error capture, and the parameter tracking performance is good, which improves the grip on the robot arm. Taking the control quality of the attitude, the overall has an application advantage.
    Keywords: synovial membrane; error feedback regulation; robotic arm; grasping; attitude positioning; control; steady state error.
    DOI: 10.1504/IJISE.2020.10024654
     
  • Two-stage efficiency-based approach to biofuel supply chain logistics network design under the risk of disruptions   Order a copy of this article
    by Jae-Dong Hong 
    Abstract: This paper deals with a design problem for the biofuel supply chain logistics network (BSCLN) under the risk of disruptions. Under a circumstance of disruptions, the BSCLN design problem should deal with multiple goals. This paper proposes an innovative procedure for combining a goal programming (GP) approach and the two-stage network data envelopment analysis (NDEA). The GP model will generate various BSCLN configurations that depend on the weights assigned to the goals. Then, the two-stage NDEA is applied to find the overall efficiency of BSCLN and to identify most efficient BSCLN schemes. Through a case study using the real data on the disaster events in South Carolina, the applicability of the proposed procedure is demonstrated. It is observed that the proposed procedure performs well with respect to designing and identifying the efficient and robust BSCLN schemes, which would be able to attract potential investors who are interested in investing in the biofuel industry.
    Keywords: Biofuel supply chain logistics network; Goal programming; Network data envelopment analysis; Overall efficiency; Two-stage network.
    DOI: 10.1504/IJISE.2020.10024655
     
  • A Business Process Decision Model for Client Evaluation Using Fuzzy AHP and TOPSIS   Order a copy of this article
    by Khine Mi Mi Hmu Tin, Henry C.W. Lau 
    Abstract: Customer selection is one of multi-criteria decision-making problems and is of strategic importance for most companies. The purpose of this paper is to develop a business process decision model to assess the potential and profitable customers in order to select the best performing customers using a digital marketing (DM) companys customer data and create multiple selection criterions from them. The existing problem in most business firms is the challenges in choosing a proper model which can be accurately assessed their customer performances. The proposed models in this study can provide a better insight for planning and implementing to gain competitive advantage in this area. This study proposes two multi-criteria decision making (MCDM) techniques, fuzzy analytical hierarchy process (FAHP) and technique for order of preference by similarity to ideal solution (TOPSIS), and apply these methods to analyse customer performance in a digital marketing company.
    Keywords: business process decision model; case study; fuzzy analytical hierarchy process; FAHP; technique for order of preference by similarity to ideal solution; TOPSIS; customer selection criteria.
    DOI: 10.1504/IJISE.2020.10024706
     
  • Reentrant hybrid flow shop scheduling problem with non-anticipatory sequence-dependent setup time   Order a copy of this article
    by Lu Chen, Jinfeng Wang, Yi Zhu 
    Abstract: This paper studies a hybrid flow shop scheduling problem originated from a steam turbine rotor production. Reentrance and non-anticipatory sequence-dependent setup time are considered. The objectives are to minimise makespan and total tardiness. A mixed integer linear programming model is formulated. A bi-objective simulated annealing algorithm is developed to solve problems with real size. A modified version of the Nawaz-Enscore-Ham algorithm is applied to find a good initial solution and a Pareto search mechanism is introduced to find the Pareto set. The proposed bi-objective simulated annealing algorithm is compared with a single-objective algorithm. Experimental results demonstrate the superiority of the bi-objective algorithm. Sensitivity analysis provides valuable managerial insights for real production.
    Keywords: hybrid flow shop; steam turbine rotor production; reentrance; nonanticipatory sequence-dependent setup time; bi-objective simulated annealing.
    DOI: 10.1504/IJISE.2020.10024850
     
  • Design and Development of Reactive Material Ordering System using E-Kanban and Taguchi’s Technique for a warehouse of Tractor Assembly Plant   Order a copy of this article
    by Mangesh Joshi, Himanshu Shukla 
    Abstract: In last one decade, information technology has proliferated in all sectors and it has become essential tool to survive in 21st century for all industries. In this endeavour, the efforts taken by authors to propose a virtual kanban system with the help of e-kanban database to react to the seasonal variations in demand. To react in stochastic conditions in JIT system, is a challenge, and hence a reactive ordering system is developed to operate the e-kanban system. The reactive ordering system consists of a simulation and Taguchi technique module to analyse the various parameters governing kanban system which can be changed to react to the variation in demand, in the database of e-kanban. Virtual e-kanban system can be established just by changing the parameters in database, governing the operation of kanban without physically changing the number of kanban cards on shop floor.
    Keywords: Kanban; Simulation and Modeling; Reactive ordering; Taguchi’s technique; materials management.
    DOI: 10.1504/IJISE.2020.10024918
     
  • Assessing Nurses’ Overall Satisfaction of Patient Safety Culture from A Regional Teaching Hospital in Taiwan   Order a copy of this article
    by Hsin-Hung Wu, Chih-Yun Cheng, Yii-Ching Lee, Chih-Hsuan Huang 
    Abstract: This study intends to identify critical dimension(s) of the Chinese version of the safety attitudes questionnaire (SAQ) affecting the patient safety culture from nurses' viewpoints by the internal survey data. Linear regression with forward selection approach is used where eight dimensions of the Chinese version of the SAQ are the independent variables and the overall satisfaction of the patient safety culture is the dependent variable. The results show that working conditions and job satisfaction are the two critical dimensions having significant impacts on the overall satisfaction in 2015, while working conditions, safety climate, and perceptions of management are the critical dimensions in 2016. Hospital management needs to pay much attention to improve working conditions first in order to relentlessly enhancing the patient safety culture from nurses' viewpoints in this case hospital.
    Keywords: patient safety culture; safety attitudes questionnaire; Chinese version of safety attitudes questionnaire; overall satisfaction; nurse.
    DOI: 10.1504/IJISE.2020.10024926
     
  • Fixed and Flexible Shape Facility Layout Problems using Biogeography-Based Optimization Algorithm   Order a copy of this article
    by Dinesh Singh, Supriya Ingole 
    Abstract: For any manufacturing and production industry to be efficient in terms of revenue, the layout of the industry must be arranged to minimise the total material handling and transporting cost of that industry. All the facilities, machines, storage, etc. are allocated in the layout in an optimum manner. While designing a layout, the planner has to allocate equal or unequal shape facilities on the available layout space to minimise the distance between the facilities which are having maximum material flow. The problem concerned with assigning facilities to the floor is mentioned as facility layout problem (FLP). This paper focuses on unequal area FLPs with fixed shape and flexible shape facilities. Biogeography-based optimisation (BBO) algorithm is one of the metaheuristic methods emerged in recent times to cope with various optimisation problems. Therefore, BBO is considered to solve unequal are FLPs. The results obtained using BBO algorithm are compared and found better than previous known results.
    Keywords: Unequal area facility layout; fixed-shape facilities; flexible-shape facilities; biogeography-based optimization.
    DOI: 10.1504/IJISE.2020.10024935
     
  • Achieving Lean through Value Stream Mapping with Constraint Programming and Simulation Technique for Complex Production Systems   Order a copy of this article
    by Shyamal Samant 
    Abstract: Lean manufacturing helps companies achieve improved productivity, quality, reduced lead time and cost reduction. This leads to the competitiveness of manufacturing systems. To achieve lean many tools are available. Value stream mapping (VSM) occupies an important place among the available tools. However, VSM as a tool suffers from many shortcomings. It can only give a static snapshot of the situation. It cannot be easily applied to achieve lean in complex production stream, e.g., manufacture of complete product, assembly operations involving multi-product, multi-level bill of materials (BOM) scenarios. This paper proposes an innovative framework to achieve lean. The proposed approach integrates CPLEX optimisation, Arena simulation and lean box score method for achieving lean in complex production streams. A case of pump manufacturer is discussed to demonstrate the proposed framework.
    Keywords: Value stream mapping; lean manufacturing; constraint programming; simulation; lean management; project scheduling.
    DOI: 10.1504/IJISE.2020.10024939
     
  • Modelling and comparison of three echelon production- inventory supply chain models for a deteriorating product with and without backlogging   Order a copy of this article
    by Radha Ramanan 
    Abstract: We consider a production inventory problem of a deteriorating product that begins to deteriorate immediately on production. Two models of three echelon supply chain are developed whose rate of demand, production and deterioration are assumed to be constant. The second model allows backlogging of the demand, while the first model does not allow backlogging. In both models, the producer's cycle starts with zero stock and the production continues till the stock level reaches an optimal value. There will be demand and deterioration and consequently stock level falls to zero during the non-production phase. The demand subsequently received is backordered in the second model and a fraction of it is met by restarting the production process. Optimal lot sizes of distributor and retailer is identified within each of the producer's cycle. A numerical example is illustrated. Comparison between the models shows that backordering reduces the total supply chain cost.
    Keywords: Deteriorating product; Inventory Management; Multi echelon supply chain; Backlogging; Integrated supply chain.
    DOI: 10.1504/IJISE.2020.10024967
     
  • Power Optimization of wind energy conversion system using T-S Fuzzy approach   Order a copy of this article
    by Sahbi Abderrahim 
    Abstract: This paper presents a maximum power point tracking control for a wind energy conversion system (WECS) using a squirrel cage induction generator (SCIG) which supplies a DC load through AC/DC converter. The goal of the developed fuzzy control law is to track the reference signals corresponding to the maximum power generation that leads to an optimal operation of the induction generator. First, the dynamics behaviour of the WECS is represented by a Takagi-Sugeno (T-S) fuzzy model. Then, a H? observer-based fuzzy controller is proposed to achieve a maximum power point tracking even when we consider a varying wind speed profile. The controller and observer gains are calculated by solving linear matrix inequalities (LMIs). Finally, simulation results are presented to illustrate the effectiveness of the proposed approach.
    Keywords: Wind energy conversion system; fuzzy observer; AC/DC converter; Takagi-Sugeno model; linear matrix inequality (LMI).
    DOI: 10.1504/IJISE.2020.10024973
     
  • Development of an Optimization Model for Unequal-Area Facility Layout Problems   Order a copy of this article
    by Tanveer Hossain Bhuiyan, Sarah Harun, Abdullahil Azeem 
    Abstract: Optimisation of unequal-area facility layout problems (UA-FLPs) aims to find the optimal arrangement of a given number of non-overlapping departments having unequal area requirements within the facility premises. This paper studies a multi-objective UA-FLP that considers minimising the material transportation cost, maximising the closeness rating score and minimising makespan of the overall facility in developing the layout. We develop a mixed-integer nonlinear programming (MINLP) facility layout model and optimise using a reformulation-based spatial branch-and-bound algorithm. Constraints are developed to ensure non-overlapping of the departments, bounding the departments within the facility, nonlinear expression of required area, and aspect ratio. We reformulate the non-smooth functions of the original model by the smooth ones. The solution of our model provides optimal arrangements as well optimal dimensions of the departments within the facility. Additionally, our model provides a set of Pareto-optimal layouts that enable decision makers in selecting a layout depending on different real-world scenarios.
    Keywords: Unequal-area facility layout; Mixed-integer nonlinear programming; Smooth functions; Spatial branch-and-bound; Exact algorithm.
    DOI: 10.1504/IJISE.2020.10024974
     
  • An EPQ Model for an Imperfect Production System with Rework, Scrap, and Backorder   Order a copy of this article
    by Pablo Biswas, Scott R. Schultz 
    Abstract: This paper deals with an imperfect two-stage manufacturing process that orders raw materials from a supplier and produces finished goods with defective items that can be reworked. The generation of scrap during the initial production stage, during inspection, and during the rework stage is also considered. To fulfil customer demand a permissible backorder is also considered. First, an inventory model is developed for this two-stage production process with instantaneous raw material order, in-cycle rework, and scrap. Then, a total cost function is developed to simultaneously find the optimal economic production quantity, optimal backorder quantity, and optimal order quantity. The cost function of the proposed inventory model is verified and validated using numerical examples and sensitivity analysis.
    Keywords: Imperfect production; defective items; rework; scrap; and backorder.
    DOI: 10.1504/IJISE.2020.10024989
     
  • Optimizing unrelated parallel machine scheduling in job shops with maximum allowable tardiness limit   Order a copy of this article
    by Parsa Kianpour, Deepak Gupta, Krishna Kumar Krishnan, Bhaskaran Gopalakrishnan 
    Abstract: Motivated by the practical scheduling problem of job shops, this study evaluates unrelated parallel machine scheduling models. The researchers proposed a new mixed integer linear programming model considering effects of maximum limit on the allowable tardiness. An efficient solution technique was developed in MATLAB to minimise computational time. The model was validated using real-life data from local aircraft industry. It was shown that the proposed model leads to lower cost compared to the current models (i.e., without any limit on tardiness) in the literature. In addition, reduction in computational time enables corporate scheduling staff to use the model efficiently.
    Keywords: Job Shop; Scheduling; Unrelated Parallel Machines; Tardiness; Earliness; Inventory Cost; Penalty Cost.
    DOI: 10.1504/IJISE.2020.10025105
     
  • Particle Swarm Optimization for Truck Scheduling Problem in Cross Docking Network   Order a copy of this article
    by Warisa Wisittipanich, Takashi Irohara, Piya Hengmeechai 
    Abstract: In cross docking network, multiple products from multiple origins are transferred by trucks through one or more cross docks. One critical concern is the decision on how to synchronise product transshipment through multiple cross docks to achieve timely shipment. This paper presents a mathematical model of truck scheduling problem in cross docking network in order to minimise makespan. Since the problem is NP-hard, a solution method is developed based on particle swarm optimisation (PSO) with two solution representations: randomised truck solution representation (Ra-SR) and prioritised truck solution representation (Pr-SR). The results show that the PSO-based approach performs well in solving the problem. Both solution representations are proven effective when comparing the solution quality and computational time with optimal results obtained from LINGO. However, the Pr-SR yields superior results to the Ra-SR in terms of solution quality and convergence behaviour for most instances especially in the case of large-size problems.
    Keywords: truck scheduling; cross docking network; particle swarm optimization; makespan.
    DOI: 10.1504/IJISE.2020.10025370
     
  • Selection of Resilient Supply Portfolio under Disruption Risks in Supply Chain   Order a copy of this article
    by Mohsen Shafiei Nikabadi, Hanieh Shambayati, Nasim Ataie 
    Abstract: Nowadays, dependence of supply chain members while has provided many benefits for organisations, increases uncertainty and risk in the planning and organising activities. The risk of disrupting or failing to communicate with the supplier due to various disasters has occurred in recent years. In this regard, this study introduces a model of mixed integer programming (MIP), to provide resiliency under the terms of a portfolio’s risk by minimising the disturbance conditional value at risk is optimised. Model, with two meta-heuristic algorithm and using real data is solved and compared. The results showed that the two algorithms do not differ significantly in the value of the objective function. Also the resolution time for the Harmony search algorithm was 8.87 seconds and the Imperialist competition algorithm was 8.28 seconds. According to the results, in general, the performance of the imperialist competition algorithm, although slightly less, is better than a harmony search algorithm.
    Keywords: conditional value at risk; disruption risk; Harmony search Algorithm; Imperialist Competitive Algorithm; supply chain; supply portfolio; supplier selection; Resilience.
    DOI: 10.1504/IJISE.2020.10025372
     
  • Optimal Design and Experiment of Multi-row Rolling-style Planting-hole Punch for Rapeseed Plant Seedlings   Order a copy of this article
    by Mingliang Wu, Wei Xiang, Jiangnan Lyu, Lan Ma, Jiajie Liu, Wei Zhou 
    Abstract: In order to realise high-efficiency hole-forming and pursue optimal forming hole parameters which satisfied agricultural requirements for awl-shaped punch transplanter, optimal designed indigenously-developed pure rolling planting hole-forming machine's hole forming mechanism parts. The CAD software was used to graphing method to study the effect of forming planting hole by structural parameters, the numerical simulation method by MATLAB 7.0 software and CATIA software were used to verify the rationality of the hole-forming key parameters optimisation design. Subsequently, prototype trial-production was carried out, followed by field testing. The results showed that forming planting hole opening lengthwise shrank form original 88.8 mm to 72.6 mm, lateral width was 41.2 mm, the effective depth reduced form 58.9 mm to 48.5 mm, qualified radio of forming planting hole reached to 95.1%, which 1.93% higher than the original prototype, which was significant for the provision of technical support for the design of new transplanter.
    Keywords: rapeseed transplanting; planting hole; key components; hole forming mechanism; parameter optimization.
    DOI: 10.1504/IJISE.2020.10025385
     
  • Optimum Design and Analysis of U-shape Thin-wall Aqueduct Based on Genetic Algorithm   Order a copy of this article
    by Wenliang Ma, Rui Yang 
    Abstract: In order to save project investment and reduce project quantity, the optimal design of aqueduct is the main problem in the project therefore, carrying out the optimal design and simulation analysis of U-shaped thin-walled aqueduct has important engineering application value. The paper takes Sha River aqueduct as the research object and adopts the direct search and point checking method of mixed discrete variable optimisation design it adopts the structural optimisation design method based on genetic algorithm and gives the optimal design scheme of U-shaped aqueduct. The optimisation design method has the advantages of fast convergence speed, high convergence efficiency and strong global search ability. The results show that, U-shape aqueduct structure is smooth, it has good mechanical properties, the structural stress is small and can meet the strength requirement; The maximum vertical displacement of the aqueduct occurs in the middle of the span, the vertical displacement value is small, which can meet the requirement of stiffness.
    Keywords: Aqueduct; Optimization design; Discrete variable; Finite element method; Stress analysis; Vertical displacement.
    DOI: 10.1504/IJISE.2020.10025387
     
  • ERP-based Lean systems and their impact on performance: The system dynamics approach for a maturity model   Order a copy of this article
    by Thi Ho, Arun Kumar, Nirajan Shiwakoti 
    Abstract: There are continuing debates on the effects of enterprise resource planning (ERP) and its combination with lean on manufacturing performance. It is suggested to integrate lean production principles into ERP systems; however, research exploring this area in the literature is limited, especially quantitative studies. This study fills the knowledge gap by quantitatively investigating the correlation between ERP-based lean systems and performance outcomes, using a system dynamics approach. We model a manufacturing system, focusing on the effects of ERP and lean inputs on customers' order fulfilment. Different scenarios of ERP systems supporting lean practices are illustrated through a capability maturity model. Actual performance data is collected to validate the developed model. The results show that ERP is a hindrance on lean at the low maturity level. The influence on ERP only occurs with the mediator role of lean. ERP-based lean systems bring substantial benefits to organisations. Therefore, lean practices are a foundation upon which the full benefit of ERP can be received.
    Keywords: System dynamics; Lean; ERP; ERP-based Lean system; maturity model; performance.
    DOI: 10.1504/IJISE.2020.10025388
     
  • Load shifting of a supplier based demand response of multi-class subscribers in smart grid   Order a copy of this article
    by Junxiang Li, Bo Liu, Quan Sun, Kamran Sarmadi, Yan Gao, Yazheng Dang, Jingxin Dong 
    Abstract: This paper presents a load shifting mechanism to address the problem of the overloaded electricity consumption requirement of different classes of electricity users, namely, the residential, commercial and industrial users, provided by a supplier in a smart grid. A real-time pricing model based the utility of each user-group and the supply cost is given and an alternating direction method of multipliers is used to solve the model for obtaining the optimal real-time electricity price and consumption of each user-group. A demand response (DR) algorithm-based different user-groups gives a priority load shifting rule to allocate the surplus optimal or reserved electricity consumption requirements of some user-groups to other suppliers to keep the requirements within the capacity of the supplier. Numerical experiment is conducted to analyse the performance of the DR algorithm, which shows that the consumption requirement load shifting mechanism is reasonable and feasible.
    Keywords: demand response; multi-class subscribers; alternating direction method of multipliers; load shifting; smart grid.
    DOI: 10.1504/IJISE.2020.10025389
     
  • Sustainable Energy Strategies (SES) for Micro, Small, and Medium Enterprises (MSMEs) in India: a review   Order a copy of this article
    by Jangam Ramesh, Mohan Ram M, Varadarajan Y. S 
    Abstract: Enhancing energy efficiency and conservation will play a significant aspect in the accomplishment of energy requirements in developing economies. To be competitive and sustainable, micro, small, and medium enterprises (MSMEs) have to utilise energy input sources optimally and effectively to enhance overall productivity. Sustainable energy strategies (SES) focus on the economical use of energy sources and examine the parameters that influence energy utilisation in enterprises. This review aims to fill energy gaps and update the literature review in industries through SES, highlight the current research concerning the future scope of sustainability in MSMEs. In this review paper, we explored the sustainable energy strategies (SES), it included the initiation of various practices and policies that decline energy demand through energy efficiency measures, the role of technological capabilities, examine the factors influencing and barriers to energy efficiency that are believed to enhance productivity and sustainability in MSMEs. The motivation for the review paper focused on considering the better strategies that are needed to improved forecasting techniques and assist in the development of sustainability in MSMEs.
    Keywords: MSMEs; Energy efficiency; Energy intensity; Sustainability; Productivity:Technological capability.
    DOI: 10.1504/IJISE.2020.10025390
     
  • Bi-objective Reliable Multi-Product Location-Inventory Problem Design with Perishable Products and Freshness-dependent Demands   Order a copy of this article
    by Parviz Fattahi, Mohsen Aghajani, Vahid Hajipour 
    Abstract: This paper tackles a bi-objective location-inventory problem (LIP) in a three-echelon multi-product supply chain with perishable products. Demands from customers are stochastic and freshness-dependent. Moreover, reliability issues are considered in terms of three different levels of failures for the distribution centres, namely disastrous, serious and partial. We also assess how well the customers' demands are met with products that are fresh enough and regard this as a reliability indicator from the viewpoint of customers. The problem is formulated as a mixed integer nonlinear programming (MINLP) model and six multi-objective decision-making (MODM) methods namely individual optimisation method, goal programming method, LP metrics/global criteria method, utility function method, goal attainment method, and maxi-min method are applied to solve test problems of different sizes. Finally, to select the best method, we used the filtering/displaced ideal solution (DIS) method where the goal programming method turned out to outperform other methods. Goal programming was then applied for sensitivity analysis of the problem.
    Keywords: Location-inventory; reliability; freshness dependent demand; perishable products.
    DOI: 10.1504/IJISE.2020.10025599
     
  • A Social Performance Metrics Framework for Sustainable Manufacturing   Order a copy of this article
    by Rafael Henao, William Sarache, Ivan Gomez 
    Abstract: This paper tackles a bi-objective location-inventory problem (LIP) in a three-echelon multi-product supply chain with perishable products. Demands from customers are stochastic and freshness-dependent. Moreover, reliability issues are considered in terms of three different levels of failures for the distribution centres, namely disastrous, serious and partial. We also assess how well the customers' demands are met with products that are fresh enough and regard this as a reliability indicator from the viewpoint of customers. The problem is formulated as a mixed integer nonlinear programming (MINLP) model and six multi-objective decision-making (MODM) methods namely individual optimisation method, goal programming method, LP metrics/global criteria method, utility function method, goal attainment method, and maxi-min method are applied to solve test problems of different sizes. Finally, to select the best method, we used the filtering/displaced ideal solution (DIS) method where the goal programming method turned out to outperform other methods. Goal programming was then applied for sensitivity analysis of the problem.
    Keywords: social metrics; social performance; sustainability; manufacturing.
    DOI: 10.1504/IJISE.2020.10025600
     
  • Representing a Dynamic Model of Employees Education in the Path of Industrial Clusters Development   Order a copy of this article
    by Masoumeh Danesh Shakib  
    Abstract: Nowadays, in most countries, small and medium sized enterprises (SMEs) play the role from the various aspects like economic, social, manufacturing and offering service. Therefore, the development of this sector has been considered in most developed and developing countries. On the other hand, the access to the local labour market can facilitate the development of this sector. This paper concentrates on the education of workforce in order to facilitate the development of industrial clusters and as a result the development of the country. The results show that if the intended policies apply, the cluster grow faster.
    Keywords: Small and Medium Sized Enterprises (SMEs); Industrial Cluster; System Dynamics (SD); Training; Labour.
    DOI: 10.1504/IJISE.2020.10025607
     
  • Analysis of customer’s impatience on bulk service queueing system with unreliable server, setup time and two types of multiple vacation   Order a copy of this article
    by Nirmala Marimuthu, Ayyappan G 
    Abstract: In this investigation, we analyse the customer's impatience on unreliable bulk queueing system with two types of vacation. Depending upon the length of queue, the server is permitted to take two types of vacation called type I vacation and type II vacation. The server is possibly affected by breakdowns and takes considerable time for setup before the repair begins to start. After repair completion, the server will start its remaining service to the batch of customers whose service was interrupted. It could be assumed that the arriving units may be balked from the system when the server is on vacation (type I or type II). By incorporating the supplementary variables technique, the probability generating function of the queue size at an arbitrary and departure time epoch for the designed queueing system are derived. Finally, the stability condition, some performance measures, particular cases are obtained with appropriate numerical illustrations and graphical presentation.
    Keywords: General bulk service; Unreliable server; Two types of Multiple vacation; Setup time and Repair.
    DOI: 10.1504/IJISE.2020.10025822
     
  • A simulation model of container terminals. The port of Valencia case study   Order a copy of this article
    by Iñigo L. Ansorena 
    Abstract: The arrival and service process of vessels at container terminals is always a main concern for port managers. We present a simulation model, which aims to shed light on this problem. On one hand, the model inputs describe the number of berths, as well as the ship arrivals and the services through its respective distributions. On the other hand, the outputs of the simulation model include: waiting times, queue lengths, berth utilisation and efficiency ratio. An empirical case study is used to explore the effectiveness of the proposed approach. The case study is based on real data collected at two container terminals. Both are located at the Port of Valencia (Spain), one is the Noatum public terminal, and the other is the MSC dedicated terminal. The simulation model is effective in replicating realistic scenarios and gives crucial information to improve port operations.
    Keywords: queuing systems; arrivals; simulation; utilization; waiting time; efficiency; port operations; service management; performance analysis.
    DOI: 10.1504/IJISE.2020.10025825
     
  • Torque ripple mitigation in FCS-MPDTC of PMSM Drive using an Adaptive Fuzzy Logic Modulator   Order a copy of this article
    by Islam Benhamida, A. Ameur, Katia Kouzi 
    Abstract: This paper presents the use of the fuzzy logic duty cycle concept in the finite-control-set model predictive direct torque control (FCS-MPDTC) strategy to mitigate the torque ripples of a surface-mounted permanent magnet synchronous motor (PMSM) drive. In fact, MPDTC is a simple and powerful tool to overcome the main drawbacks associated with the commonly used control strategies like direct torque control (DTC) and field-oriented control (FOC). However, the conventional-MPDTC selects only one voltage vector (VV) per sampling period and this procedure leads to increase relatively the torque ripple. In order to further improve the torque control performance, an adaptive fuzzy logic-based duty cycle modulation is utilised and two VV's instead of single VV are applied during the whole control cycle. The performances of the proposed control scheme are simulated and compared to those obtained with conventional-MPDTC. The simulation results show that the proposed AFLM-MPDTC can effectively mitigate the torque ripples, even under severe operating conditions.
    Keywords: (Permanent magnet synchronous machine (PMSM); Model predictive direct torque control (MPDTC); Finite control set (FCS); Torque ripple; Duty cycle; Adaptive Fuzzy Logic Modulator (AFLM)).
    DOI: 10.1504/IJISE.2020.10026126
     
  • A service level agreement baselining methodology for non-normal characteristics using the Pearson distribution   Order a copy of this article
    by Boby John, Subhani S. M 
    Abstract: Many organisations use outsourcing to achieve cost advantage and focus on core processes. The quality of the services provided by the outsourced partner plays a significant role in the firm's overall performance. The service level agreement (SLA) baselining is the process of finalising the performance level expected from the outsourced partner. Generally, performance characteristics like cycle time, turnaround time, handling time, productivity, etc. are baselined. Many of the aforementioned metrics may not be normally distributed. In this paper, the authors discuss the cases of baselining non-normal performance characteristics. The methodology is to fit a general system of distributions namely the Pearson family of distribution and identify the SLA value using the best fit Pearson type of distribution. The methodology is demonstrated through two case studies and results are found to be very encouraging. The methodology can be used for baselining of non-normal performance characteristics of various service industries.
    Keywords: Service level agreement baselining; process capability analysis; non-normal characteristics; Pearson family of distributions; R package.
    DOI: 10.1504/IJISE.2020.10026172
     
  • Research on Estimation of Equipment Maintenance Duration Based on AHP-FIE Risk Analysis   Order a copy of this article
    by Zhengkun Dai, Lu Yao, Jiandong QIN 
    Abstract: Equipment maintenance duration is an important indicator of equipment maintenance management, and is a key factor to measure the success or failure of a maintenance project. In view of the current situation of inaccurate estimation of equipment maintenance period and frequent changes in schedule, this paper considers the characteristics of many uncertain factors, and studies the estimation of equipment maintenance project duration from the perspective of risk analysis, identifying risk factors and identifying risk factors. Based on the evaluation criteria, the comprehensive evaluation method based on AHP-FIE explores the relationship between risk and construction period, and analyzes through actual cases. The analysis results make reasonable adjustments to the construction period, providing theoretical and practical reference for equipment maintenance duration optimization management.
    Keywords: equipment maintenance; duration estimation; AHP-FIE; risk analysis.
    DOI: 10.1504/IJISE.2020.10026397
     
  • Variable Substitution Integral Method and Its Application for Solving Displacement Curves of Framed Structures   Order a copy of this article
    by Yuguo Zheng, Yu Wang, Xiangshou Xiao 
    Abstract: Considering the great importance of structural displacement curves and the shortcomings of the classical material mechanics approach and the conventional structural mechanics one in this aspect, a general analytical method, the variable substitution integral method whose mechanics concept is very clear, was proposed for solving structural displacement curves of framed structures based on virtual work principle and unit load method. The basic principle of the new method was constructed and compared with the classical material mechanics one. The comparison results show that the application of the proposed approach in examples proves that it fully compensates for the shortcomings of the classical material mechanics method and the conventional structural mechanics one. This new method, which is very simple and practical, can be widely applied to analytically solve displacement curves of various static determinate and indeterminate structures, straight or curved framed structures under kinds of internal forces caused by loads.
    Keywords: structural mechanics; framed structure; displacement calculation; virtual work principle; unit load method; variable substitution integral method.
    DOI: 10.1504/IJISE.2020.10026398
     
  • Design of Travel Route Recommendation System Based on Fast Spark Artificial Intelligence Architecture   Order a copy of this article
    by Xiaolu Wei 
    Abstract: In order to overcome the problems of low accuracy of current system tourism route prediction and poor accuracy of route recommendation, this paper proposes a tourism route recommendation system design based on fast Spark artificial intelligence architecture. For the hardware part, the system module structure is constructed as a way to obtain data. For the software part, firstly, the problem definition of tourism route recommendation is given, secondly, the Markov model is constructed, and finally, the tourism route is excavated. By sorting the transfer probability of tourist attractions, the tourism route can be obtained, and the design of the software part of the system is completed. Through the design of hardware and software of the system, the tourism route recommendation is finally realized. The experimental results show that the proposed system not only has a high accuracy in predicting tourism routes, but also can accurately recommend tourism routes to users.
    Keywords: Fast Spark; Artificial Intelligence Architecture; Travel Route Recommendation; System Design.
    DOI: 10.1504/IJISE.2020.10026399