Template-Type: ReDIF-Article 1.0 Author-Name: M.L.R. Varela Author-X-Name-First: M.L.R. Author-X-Name-Last: Varela Author-Name: Vijay Kumar Manupati Author-X-Name-First: Vijay Kumar Author-X-Name-Last: Manupati Author-Name: Suraj Panigrahi Author-X-Name-First: Suraj Author-X-Name-Last: Panigrahi Author-Name: Eric Costa Author-X-Name-First: Eric Author-X-Name-Last: Costa Author-Name: Goran D. Putnik Author-X-Name-First: Goran D. Author-X-Name-Last: Putnik Title: Using social network analysis for industrial plant layout analysis in the context of industry 4.0 Abstract: Social network analysis (SNA) is a widely studied research topic, which has been increasingly applied for solving different kinds of problems, including industrial manufacturing ones. This paper focuses on the application of SNA to an industrial plant layout problem. The study aims at analysing the importance of using SNA techniques to study the important relations between entities in a manufacturing environment, such as jobs and resources in the context of industrial plant layout analysis. Here, performance measures such as maximum completion time of jobs (makespan), resource utilisation, and throughput time have been considered to evaluate the system performance. Later, with the simulation analysis, the relationships between entities and their impact on the system performance are evaluated. The experimental results revealed that the proposed SNA approach supports to find the key machines of the systems that ultimately lead to the effective performance of the whole system. Finally, the identification of relations among these entities supported the establishment of an appropriate plant layout for producing the jobs in the context of industry 4.0. Journal: Int. J. of Industrial and Systems Engineering Pages: 1-19 Issue: 1 Volume: 34 Year: 2020 Keywords: industry 4.0; industrial engineering; systems engineering; resource utilisation; throughput time; makespan; simulation; network modelling; FlexSim. File-URL: http://www.inderscience.com/link.php?id=104313 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:1:p:1-19 Template-Type: ReDIF-Article 1.0 Author-Name: K. Jayakrishna Author-X-Name-First: K. Author-X-Name-Last: Jayakrishna Author-Name: Vimal K.E.K. Author-X-Name-First: Vimal Author-X-Name-Last: K.E.K. Author-Name: Medha Vibha Author-X-Name-First: Medha Author-X-Name-Last: Vibha Author-Name: Shubham Jain Author-X-Name-First: Shubham Author-X-Name-Last: Jain Author-Name: Asela K. Kulatunga Author-X-Name-First: Asela K. Author-X-Name-Last: Kulatunga Title: Fostering systematic eco-innovation in an industrial symbiosis environment using DEMATEL Abstract: In today's rapidly changing and evolving world, industrial symbiosis acts as an important strategy for the development of any organisation. Industrial symbiosis helps different organisations to pool their resources, discuss their problems, their merits-demerits and also to share their profit. This study was conducted with the objective of understanding the key parameters to enhance the organisational performance in an industrial symbiotic setup. This study collected information from the sugar mill industry, and paper mill and cement industries in Tamil Nadu, India. Decision making trial and evaluation laboratory (DEMATEL) method was used to visualise the impact of different attributes on the company. On the basis of DEMATEL approach solid waste management was identified as a critical area and the organisations need to focus on solid waste management to improve the efficiency in terms of eco-innovation and industrial symbiosis. Journal: Int. J. of Industrial and Systems Engineering Pages: 20-42 Issue: 1 Volume: 34 Year: 2020 Keywords: multiple attribute decision making; DEMATEL; criteria interaction; visualise; sustainability; eco-innovation; industrial symbiosis. File-URL: http://www.inderscience.com/link.php?id=104314 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:1:p:20-42 Template-Type: ReDIF-Article 1.0 Author-Name: Sharfuddin Ahmed Khan Author-X-Name-First: Sharfuddin Ahmed Author-X-Name-Last: Khan Author-Name: Amin Chaabane Author-X-Name-First: Amin Author-X-Name-Last: Chaabane Author-Name: Fikri Dweiri Author-X-Name-First: Fikri Author-X-Name-Last: Dweiri Title: Supply chain performance measurement systems: a qualitative review and proposed conceptual framework Abstract: Management of supply chain (SC) is becoming more challenging with every passing day due to high competition, globalisation, and digitalisation because of the recent adoption of internet of things (IoT) technologies in order to increase supply chain visibility. Due to this fact, importance of supply chain performance measurement systems (SCPMS) has been increased significantly. To cope with these challenges and remain competitive, organisations are keen to evaluate SC performance more precisely. Therefore, this paper adopts a qualitative review methodology to find out if existing SCPMS are in line with the current emerging technology trends of managing SC and measuring SC performance and if not, what will be the characteristics of future SCPMS. Results show particularly that existing SCPMSs are not adequate to cope with the complexity and the technology advancement observed in supply chain management as a smart way for measuring modern SC performance is needed. Finally, this study proposes a conceptual supply chain performance measurement (SCPM) framework to fill the identified research gaps. Journal: Int. J. of Industrial and Systems Engineering Pages: 43-64 Issue: 1 Volume: 34 Year: 2020 Keywords: supply chain management; SCM; supply chain performance measurement systems; SCPMS; knowledge base system; integrated framework; qualitative review. File-URL: http://www.inderscience.com/link.php?id=104315 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:1:p:43-64 Template-Type: ReDIF-Article 1.0 Author-Name: Jin'an He Author-X-Name-First: Jin'an Author-X-Name-Last: He Author-Name: Xingyu Yang Author-X-Name-First: Xingyu Author-X-Name-Last: Yang Author-Name: Hong Lin Author-X-Name-First: Hong Author-X-Name-Last: Lin Author-Name: Yong Zhang Author-X-Name-First: Yong Author-X-Name-Last: Zhang Title: Adaptive online successive constant rebalanced portfolio based on moving window Abstract: In the non-stationary financial market, considering that earlier observations may have little or no relevance to the current investment decision making, we design two kinds of adaptive online portfolio strategies only based on recent historical data. Firstly, we design an adaptive online portfolio strategy by linearly combining the last portfolio and the best constant rebalanced portfolio corresponding to the recent historical data, which we call moving window. We determine the length of the moving window by adaptive learning. More precisely, we consider the strategies that always adopt the best constant rebalanced portfolio corresponding to the moving window of different fixed lengths as different experts, and at the beginning of the current period, we choose the length of moving window the same as the expert achieving maximum current cumulative return. Furthermore, we determine the length of moving window by only using the recent historical data to adaptively learn, and design another adaptive online portfolio strategy. We present numerical analysis by using real stock data from the US and Chinese markets, and the results illustrate that our strategies perform well, compared with some benchmark strategies and existing online portfolio strategies. Journal: Int. J. of Industrial and Systems Engineering Pages: 107-123 Issue: 1 Volume: 34 Year: 2020 Keywords: online portfolio selection; investment strategy; moving window; adaptive algorithm. File-URL: http://www.inderscience.com/link.php?id=104316 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:1:p:107-123 Template-Type: ReDIF-Article 1.0 Author-Name: Guang-Dong Liu Author-X-Name-First: Guang-Dong Author-X-Name-Last: Liu Author-Name: Tian-Jian Yang Author-X-Name-First: Tian-Jian Author-X-Name-Last: Yang Author-Name: Xue-Mei Zhang Author-X-Name-First: Xue-Mei Author-X-Name-Last: Zhang Title: Supply chain coordination and decisions under effort-dependent demand and customer balking behaviour Abstract: The paper explores supply chain coordination under a sales effort-dependent demand and customer balking scenario and analyses the impacts of revenue- and cost-sharing contracts on the decisions of supply chain members. This paper subsequently develops a two-echelon supply chain consisting of one supplier and one retailer and examines two models that incorporate customer balking and sales efforts: in one model, the retailer offers a revenue sharing-only contract, and in the other model, the retailer and the supplier bargain on the revenue and cost-sharing contract. The results show that the revenue- and cost-sharing contract can coordinate the decentralised supply chain better than it can coordinate a centralised supply chain and that the effects of customer balking on the supply chain are clear; when customer balking occurs, the probability of a sale occurring can increase the profit of the supply chain, while the threshold of inventory and the sales effort can improve the marketing demand. Journal: Int. J. of Industrial and Systems Engineering Pages: 84-106 Issue: 1 Volume: 34 Year: 2020 Keywords: revenue- and cost-sharing contract; customer balking behaviour; newsvendor model; Stackelberg game; effort-dependent demand. File-URL: http://www.inderscience.com/link.php?id=104317 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:1:p:84-106 Template-Type: ReDIF-Article 1.0 Author-Name: Henrique Ewbank Author-X-Name-First: Henrique Author-X-Name-Last: Ewbank Author-Name: Peter Wanke Author-X-Name-First: Peter Author-X-Name-Last: Wanke Author-Name: Henrique L. Correa Author-X-Name-First: Henrique L. Author-X-Name-Last: Correa Title: Fleet dimensioning and scheduling in the Brazilian ethanol industry: a fuzzy logic approach Abstract: This work solves a real-world multi-depot vehicle routing problem (MDVRP) with a homogeneous fleet and capacitated depots. A pipeline company wants to establish a vehicle policy in order to own part of its fleet and serve its customers for a period of one year. The company also wants to know the schedule of the visits for collecting ethanol from 261 producers and taking it to their three terminals located in Brazil. This problem presents uncertain demand, since weather conditions impact the final crop and uncertain depot capacity. Due to the vagueness of managers' speech, this problem also presents uncertain travel time. In this paper, fuzzy logic is used to model uncertainty and vagueness and to split the initial instance into smaller ones. Besides solving a real-world problem with fuzzy demand, fuzzy depot capacity and fuzzy travel time, this paper contributes with a decision making tool that reports different solutions for different uncertainty levels. Journal: Int. J. of Industrial and Systems Engineering Pages: 65-83 Issue: 1 Volume: 34 Year: 2020 Keywords: multi-depot vehicle routing problem; MDVRP; fuzzy logic; job scheduling; real-world problem; expert system. File-URL: http://www.inderscience.com/link.php?id=104318 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:1:p:65-83 Template-Type: ReDIF-Article 1.0 Author-Name: Raquel Kraemer Sabadin Author-X-Name-First: Raquel Kraemer Author-X-Name-Last: Sabadin Author-Name: Eliana Andréa Severo Author-X-Name-First: Eliana Andréa Author-X-Name-Last: Severo Author-Name: Julio Cesar Ferro De Guimarães Author-X-Name-First: Julio Cesar Ferro De Author-X-Name-Last: Guimarães Title: Innovation in ergonomics: a survey in the agribusiness sector of Brazil Abstract: The healthy organisation encourages participatory environments, is innovative, is centralised in the sense of human relations in the workplace, and has an anthropocentric essence of ergonomics. The aim of this study is to analyse the relationship between innovations in ergonomics, absenteeism and in the risk of lifting loads in six units of an agribusiness. The method we used was a quantitative survey of a descriptive nature, survey type with a sample of 419 workers, which used measures that explored the relationship between the study variables, through factor analysis and multiple linear regression. The results show that the workplace environment explains 46% of the occurrence of process and organisational innovations in ergonomics, since the process and organisational innovations in ergonomics justify by 40% the significant reduction of absenteeism. Healthy organisations have in their management processes the involvement of workers and make innovations that refine their performance and contribute to human relationships in the workplace, which positively affect both the organisation and the workers. Journal: Int. J. of Industrial and Systems Engineering Pages: 124-143 Issue: 1 Volume: 34 Year: 2020 Keywords: process innovation; organisational innovation; ergonomics; absenteeism; agribusiness; Brazil. File-URL: http://www.inderscience.com/link.php?id=104319 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:1:p:124-143 Template-Type: ReDIF-Article 1.0 Author-Name: Huafeng Dai Author-X-Name-First: Huafeng Author-X-Name-Last: Dai Author-Name: Wenming Cheng Author-X-Name-First: Wenming Author-X-Name-Last: Cheng Author-Name: Wucheng Yang Author-X-Name-First: Wucheng Author-X-Name-Last: Yang Author-Name: Yupu Wang Author-X-Name-First: Yupu Author-X-Name-Last: Wang Title: A general variable neighbourhood search for multi-skill resource-constrained project scheduling problem with step-deterioration Abstract: This paper proposes a general variable neighbourhood search approach (GVNS) for solving the multi-skill resource constrained project scheduling problem (MS-RCPSP) under step-deterioration aiming to minimise maximum completion time. To assess the performance of the proposed GVNS, integrating five neighbourhood structures and a disturbance step, computational experiments are carried out on two sets instances. One group takes no account of deterioration where the proposed GVNS achieved highly performance compared with the state-of-the-art algorithms in the literature, and the other group of experiments on modified dataset considering the step-deterioration effect also demonstrates the capability of the GVNS to find high quality solutions. Journal: Int. J. of Industrial and Systems Engineering Pages: 145-164 Issue: 2 Volume: 34 Year: 2020 Keywords: deterioration effect; multi-skill; resource constrained project scheduling problem; RCPSP; variable neighbourhood search; VNS. File-URL: http://www.inderscience.com/link.php?id=105288 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:2:p:145-164 Template-Type: ReDIF-Article 1.0 Author-Name: Sandra García-Bustos Author-X-Name-First: Sandra Author-X-Name-Last: García-Bustos Author-Name: Andrés Plaza Author-X-Name-First: Andrés Author-X-Name-Last: Plaza Author-Name: Joseph León Author-X-Name-First: Joseph Author-X-Name-Last: León Author-Name: Antonio S.E. Chong Author-X-Name-First: Antonio S.E. Author-X-Name-Last: Chong Title: Optimal multivariate control charts based on linear combination of normal variables Abstract: In some productive processes where normal variables intervene, it is necessary to control specific directions of shifts (increments or decrements) in the mean vector. Many multivariate control charts base their statistics on quadratic forms and do not rapidly detect a shift in a specific direction. In this paper, we propose two charts based on the linear combination of correlated normal variables, the linear combination of normal variables (LCN) and linear combination of principal components (LCPC). These charts were designed to detect a specific shift in the process. To analyse the performances of these charts, we have developed a friendly program that finds the best parameters through genetic algorithms (GA). This algorithm minimises the out-of-control average run length (ARL) for a proposed shift in the mean vector under the restriction of a desired in-control ARL value. The proposed control charts are Shewhart type, which show better performances than the Hotelling <i>T</i><SUP align="right"><SMALL>2</SMALL></SUP> chart. Journal: Int. J. of Industrial and Systems Engineering Pages: 165-192 Issue: 2 Volume: 34 Year: 2020 Keywords: control chart; the Hotelling T2 control chart; optimisation; principal components; normal variables; genetic algorithm; heuristic; average run length; ARL; one-sided chart; Shewhart chart. File-URL: http://www.inderscience.com/link.php?id=105289 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:2:p:165-192 Template-Type: ReDIF-Article 1.0 Author-Name: Xingjian Xu Author-X-Name-First: Xingjian Author-X-Name-Last: Xu Author-Name: Yuehua Li Author-X-Name-First: Yuehua Author-X-Name-Last: Li Author-Name: Can Wang Author-X-Name-First: Can Author-X-Name-Last: Wang Title: Back-projection imaging algorithm of random noise frequency modulation continuous wave SAR Abstract: The combination of random noise frequency-modulation continuous wave technology and synthetic aperture radar (SAR) promises a cost-effective, low probability of intercept and high electromagnetic compatibility. This paper analyses the time-domain restricting algorithms for random noise frequency modulation continuous wave (RNFMCW) SAR. Two versions of the back-projection algorithm are proposed. At first, the radar antenna continuous motion in a pulse repetition period of RNFMCW SAR is analysed. Then the phase term which is caused by the continuous motion is described by a approximate expression with Taylor expansion. Meanwhile, both the start-stop approximate back-projection algorithm and the modified back-projection algorithm are proposed. In the end, with the help of numerical simulation, the limitations of the start-stop approximation back-projection algorithm and the validity of the modified back-projection algorithms are illustrated. Journal: Int. J. of Industrial and Systems Engineering Pages: 193-202 Issue: 2 Volume: 34 Year: 2020 Keywords: random noise; FMCW; synthetic aperture radar; SAR; Taylor expansion; back-projection; correlation. File-URL: http://www.inderscience.com/link.php?id=105290 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:2:p:193-202 Template-Type: ReDIF-Article 1.0 Author-Name: Deepak Sharma Author-X-Name-First: Deepak Author-X-Name-Last: Sharma Author-Name: Srinivasan Sridhar Author-X-Name-First: Srinivasan Author-X-Name-Last: Sridhar Author-Name: David Claudio Author-X-Name-First: David Author-X-Name-Last: Claudio Title: Comparison of AHP-TOPSIS and AHP-AHP methods in multi-criteria decision-making problems Abstract: Decision-making is a highly researched topic and various methods have been developed to facilitate a decision-maker (DM) in choosing the best alternative. Saaty's analytic hierarchy process (AHP) has been very popular since 1977 and has been adapted all over the world. However, AHP is a highly-debated topic. Technique for order of preference by similarity to ideal solution (TOPSIS) is another multi-criteria decision-making (MCDM) method developed by Hwang and Yoon in 1981 as a ranking method. This research is focused on identifying which is the MCDM method between AHP and TOPSIS. Since TOPSIS is a ranking method, the authors propose to combine AHP and TOPSIS methods and determine which method's ranking (AHP, AHP-TOPSIS combination, and TOPSIS with equal weights) aligns more closely with the DM's initial preference. Moreover, this research states the efficiency of the method by comparing the time it takes to make a decision and its reliability. Journal: Int. J. of Industrial and Systems Engineering Pages: 203-223 Issue: 2 Volume: 34 Year: 2020 Keywords: analytic hierarchy process; AHP; AHP-TOPSIS; decision maker initial ranking; multi-criteria decision-making; MCDM; industrial and systems engineering. File-URL: http://www.inderscience.com/link.php?id=105291 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:2:p:203-223 Template-Type: ReDIF-Article 1.0 Author-Name: Ajay Kumar Author-X-Name-First: Ajay Author-X-Name-Last: Kumar Title: Performance modelling and optimisation of the rice processing industrial system using PSO Abstract: The present work includes the performance modelling and optimisation of the rice processing industry for achieving the maximum availability. The study presents a methodology for availability evaluation of the process industry. For the increased production rate and resource utilisation, the maintenance plan should be developed which can predict the effect of performance parameters with time. The performance modelling for the steady state availability (SSA) has been done using Markov method using historical failure and repair database followed by the system optimisation using particle swarm optimisation (PSO). The performance parameters are assumed to be negative exponential which are independent to each other and repaired units are considered as fine as original. The uncertainties of failure and repair rates (FRR) are removed by selecting these parameters randomly in PSO. The maximum availability of each system for all possible combinations of FRR within fixed minimum and maximum limits for each sub-system has also been computed. The rice processing plant consists of several sub-systems for which optimum availability level for rice processing plant for random combinations of FRR has been found. The computed results are economically beneficial for the plant personnel in improving the production rate and maintenance planning. Journal: Int. J. of Industrial and Systems Engineering Pages: 224-240 Issue: 2 Volume: 34 Year: 2020 Keywords: performance modelling; rice processing plant; Markov modelling; particle swarm optimisation; PSO; selection; decision support system. File-URL: http://www.inderscience.com/link.php?id=105292 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:2:p:224-240 Template-Type: ReDIF-Article 1.0 Author-Name: Jayalal Wettasinghe Author-X-Name-First: Jayalal Author-X-Name-Last: Wettasinghe Author-Name: Huynh Trung Luong Author-X-Name-First: Huynh Trung Author-X-Name-Last: Luong Title: An inventory positioning model under vendor managed inventory system Abstract: Inventory management is one of the key functions in any supply chain. Since inventory cost occupies a significant portion of supply chain cost, it is essential to employ a good inventory policy in order to reduce the supply chain cost while improving the service level. This paper presents a vendor managed inventory (VMI) policy with emergency orders for a supply chain with a single vendor and two independent retailers. A mathematical model is developed using the concept of demand rate, assuming Poisson demand for the retailers. The formulated model is used to help determine the optimal system base stock level, delivery quantities to retailers and the cycle length such that the total expected inventory cost of the system is minimised. Numerical experiments and sensitivity analysis are then conducted to examine the effect of model parameters on total inventory cost and optimal solution. Journal: Int. J. of Industrial and Systems Engineering Pages: 241-282 Issue: 2 Volume: 34 Year: 2020 Keywords: vendor managed inventory; VMI; emergency orders; inventory management; optimal base stock level. File-URL: http://www.inderscience.com/link.php?id=105293 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:2:p:241-282 Template-Type: ReDIF-Article 1.0 Author-Name: Rajani Kakkunuri Author-X-Name-First: Rajani Author-X-Name-Last: Kakkunuri Author-Name: Christine Nguyen Author-X-Name-First: Christine Author-X-Name-Last: Nguyen Author-Name: Purushothaman Damodaran Author-X-Name-First: Purushothaman Author-X-Name-Last: Damodaran Title: Simulated annealing approach to minimise total weighted tardiness of non-identical parallel batch processing machines 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 minimising 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 optimisation (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. Journal: Int. J. of Industrial and Systems Engineering Pages: 301-320 Issue: 3 Volume: 34 Year: 2020 Keywords: scheduling; batch processing machines; BPM; weighted tardiness; simulated annealing; SA. File-URL: http://www.inderscience.com/link.php?id=105732 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:3:p:301-320 Template-Type: ReDIF-Article 1.0 Author-Name: Sini-Kaisu Kinnunen Author-X-Name-First: Sini-Kaisu Author-X-Name-Last: Kinnunen Author-Name: Salla Marttonen-Arola Author-X-Name-First: Salla Author-X-Name-Last: Marttonen-Arola Author-Name: Timo Kärri Author-X-Name-First: Timo Author-X-Name-Last: Kärri Title: The value of fleet information: a cost-benefit model 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 realised cost savings and other benefits need to be considerable for the investment in IoT technologies to be profitable. The results emphasise the importance of data utilisation in decision making in order to gain benefits and to create value from data. Journal: Int. J. of Industrial and Systems Engineering Pages: 321-341 Issue: 3 Volume: 34 Year: 2020 Keywords: fleet; cost-benefit; asset management; investment appraisal; maintenance; life-cycle analysis; Weibull; life-cycle data; cost savings; value of information. File-URL: http://www.inderscience.com/link.php?id=105734 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:3:p:321-341 Template-Type: ReDIF-Article 1.0 Author-Name: M. Vimala Rani Author-X-Name-First: M. Vimala Author-X-Name-Last: Rani Author-Name: M. Mathirajan Author-X-Name-First: M. Author-X-Name-Last: Mathirajan Title: Meta-heuristics for dynamic real time scheduling of diffusion furnace in semiconductor manufacturing industry Abstract: Most of the earlier research in dynamic scheduling (DS) of diffusion furnace (DF), considers only future arrival of jobs. However, in reality along with the future arrival of jobs, various unexpected real time events (RTE) related to jobs, and/or resources will occur. Hence, this study addresses the important real life characteristics of both future arrival jobs and the occurrence of a RTE while scheduling DF, called as dynamic real time scheduling (DRTS), with the scheduling objective of minimising total weighted tardiness (TWT). This study first explains the mathematical model for DS of single DF to minimise TWT. Then, this study proposes 12 variants of meta-heuristics (six variants of simulated annealing and six variants of tabu search) by considering six different initial solutions obtained from six variants of greedy heuristic algorithm for DRTS of DF. From empirical and statistical analyses on 270 problem instances, this study observed that one of the variants of simulated annealing consistently performing better. Journal: Int. J. of Industrial and Systems Engineering Pages: 365-395 Issue: 3 Volume: 34 Year: 2020 Keywords: simulated annealing; tabu search; greedy heuristic algorithm; GHA; real time events; dynamic real time scheduling; DRTS; diffusion furnace. File-URL: http://www.inderscience.com/link.php?id=105737 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:3:p:365-395 Template-Type: ReDIF-Article 1.0 Author-Name: G. Ayyappan Author-X-Name-First: G. Author-X-Name-Last: Ayyappan Author-Name: T. Deepa Author-X-Name-First: T. Author-X-Name-Last: Deepa Title: 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 Abstract: The objective of this paper is to analyse an <i>M</i><SUP align="right"><SMALL>[<i>X</i>]</SMALL></SUP>/<i>G</i>(<i>a</i>, <i>b</i>)/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 '<i>a</i>', the server resumes multiple vacation and continues this until at least '<i>a</i>' customers are waiting in the queue. After finishing a batch of service, if the server is breakdown with probability γ, 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-γ, the server starts a vacation if the queue length is less than '<i>a</i>'. 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 409-431 Issue: 3 Volume: 34 Year: 2020 Keywords: bulk queue; controllable arrival; multiple vacation; two phases of repair; delay time to repair. File-URL: http://www.inderscience.com/link.php?id=105738 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:3:p:409-431 Template-Type: ReDIF-Article 1.0 Author-Name: Pavel Viktorovich Bulat Author-X-Name-First: Pavel Viktorovich Author-X-Name-Last: Bulat Author-Name: Konstantin Nikolaevich Volkov Author-X-Name-First: Konstantin Nikolaevich Author-X-Name-Last: Volkov Title: Simulation of incompressible flows in channels containing fluid and porous regions 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 283-300 Issue: 3 Volume: 34 Year: 2020 Keywords: porous medium; computational fluid dynamics; channel flow; fluid injection; gas bearing. File-URL: http://www.inderscience.com/link.php?id=105739 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:3:p:283-300 Template-Type: ReDIF-Article 1.0 Author-Name: Noureddine Asklou Author-X-Name-First: Noureddine Author-X-Name-Last: Asklou Author-Name: Rachid Noureddine Author-X-Name-First: Rachid Author-X-Name-Last: Noureddine Title: Effects of proof tests on the safety performance of safety-instrumented systems Abstract: The imperfection in the values of the average probability of failure on demand (<i>PFD<SUB align="right"><SMALL>avg</SMALL></SUB></i>) 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 396-408 Issue: 3 Volume: 34 Year: 2020 Keywords: safety-instrumented system; proof test; average probability of failure on demand; PFDavg; safety integrity level; SIL. File-URL: http://www.inderscience.com/link.php?id=105740 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:3:p:396-408 Template-Type: ReDIF-Article 1.0 Author-Name: Saber Shiripour Author-X-Name-First: Saber Author-X-Name-Last: Shiripour Author-Name: Nezam Mahdavi-Amiri Author-X-Name-First: Nezam Author-X-Name-Last: Mahdavi-Amiri Title: An effective approach for aid planning on multi-type transportation networks after a disaster 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 342-364 Issue: 3 Volume: 34 Year: 2020 Keywords: location-allocation-routing problem; multi-type transportation network; disaster response; mathematical programming model. File-URL: http://www.inderscience.com/link.php?id=105747 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:3:p:342-364 Template-Type: ReDIF-Article 1.0 Author-Name: Iqra Saraf Author-X-Name-First: Iqra Author-X-Name-Last: Saraf Author-Name: A.K. Shrivastava Author-X-Name-First: A.K. Author-X-Name-Last: Shrivastava Author-Name: Javaid Iqbal Author-X-Name-First: Javaid Author-X-Name-Last: Iqbal Title: Generalised fault detection and correction modelling framework for multi-release of software Abstract: The intense competition in the technology around the world has forced the software firms to speed-up their software upgrades. This creates 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. Owing 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, a change in testing strategies and resources at any time point may result in a 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 with real life data. Journal: Int. J. of Industrial and Systems Engineering Pages: 464-493 Issue: 4 Volume: 34 Year: 2020 Keywords: non-homogenous Poisson process; NHPP; software reliability growth model; SRGM; detection; correction; modelling; imperfect debugging; change-point; multi-release; ranking; distance-based approach; DBA. File-URL: http://www.inderscience.com/link.php?id=106085 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:4:p:464-493 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Mohtashami Author-X-Name-First: Ali Author-X-Name-Last: Mohtashami Author-Name: Alireza Alinezhad Author-X-Name-First: Alireza Author-X-Name-Last: Alinezhad Author-Name: Amir Hossein Niknamfar Author-X-Name-First: Amir Hossein Author-X-Name-Last: Niknamfar Title: A fuzzy multi-objective model for a cellular manufacturing system with layout designing in a dynamic condition 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 minimising the cost of manufacturing system due to the amount of production loss caused by waste, as well as minimising the variance of fuzzy costs. Due to the complexity of the problem, non-dominate sorting genetic algorithm-II and multi-objective particle swarm optimisation 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 A fuzzy multi-objective model for a cellular manufacturing system 515 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 analysed statistically. The applicability of the proposed approach and the solution methodologies are demonstrated as well. Journal: Int. J. of Industrial and Systems Engineering Pages: 514-543 Issue: 4 Volume: 34 Year: 2020 Keywords: cellular manufacturing system; fuzzy theory; MOPSO algorithm; NSGA-II algorithm. File-URL: http://www.inderscience.com/link.php?id=106086 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:4:p:514-543 Template-Type: ReDIF-Article 1.0 Author-Name: Farzin Nourzadeh Author-X-Name-First: Farzin Author-X-Name-Last: Nourzadeh Author-Name: Sadoullah Ebrahimnejad Author-X-Name-First: Sadoullah Author-X-Name-Last: Ebrahimnejad Author-Name: Kaveh Khalili-Damghani Author-X-Name-First: Kaveh Author-X-Name-Last: Khalili-Damghani Author-Name: Ashkan Hafezalkotob Author-X-Name-First: Ashkan Author-X-Name-Last: Hafezalkotob Title: Forecasting the international air passengers of Iran using an artificial neural network Abstract: Forecasting passenger demand is generally viewed as the most crucial function of airline management. In order to organise the air passengers entering Iran, in this study, the number of international air passengers entering Iran in 2020 has been forecast 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, the number of their air passengers has been forecast by using various training algorithms. Then, the number of international passengers entering Iran has been forecast using the weighted average and similarity percentage of other countries in defined indices. It should be noted that training algorithms 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 562-581 Issue: 4 Volume: 34 Year: 2020 Keywords: forecasting; artificial neural network; ANN; training algorithm; air passenger demand; Iran. File-URL: http://www.inderscience.com/link.php?id=106089 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:4:p:562-581 Template-Type: ReDIF-Article 1.0 Author-Name: Mahsa Soroushnia Author-X-Name-First: Mahsa Author-X-Name-Last: Soroushnia Author-Name: Hadi Shirouyehzad Author-X-Name-First: Hadi Author-X-Name-Last: Shirouyehzad Title: Inventory-routing mathematical model in transportation fleet of a bike sharing distribution network Abstract: Todays' bike sharing system (BSS) 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 494-513 Issue: 4 Volume: 34 Year: 2020 Keywords: bike sharing system; BSS; bike sharing rebalancing problem; BRP; inventory-routing problem; IRP; mathematical modelling. File-URL: http://www.inderscience.com/link.php?id=106091 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:4:p:494-513 Template-Type: ReDIF-Article 1.0 Author-Name: Dorra Zaibi Author-X-Name-First: Dorra Author-X-Name-Last: Zaibi Author-Name: Meriem Riahi Author-X-Name-First: Meriem Author-X-Name-Last: Riahi Author-Name: Faouzi Moussa Author-X-Name-First: Faouzi Author-X-Name-Last: Moussa Title: Usability in computerised mobile assistance solutions 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 is presented in a typical industrial environment to validate our proposal. Finally, an experimental evaluation was conducted with end users to evaluate our proposal. Journal: Int. J. of Industrial and Systems Engineering Pages: 433-463 Issue: 4 Volume: 34 Year: 2020 Keywords: mobile industrial maintenance; computerised management maintenance system; usability; context-awareness; human-computer interface; model-driven development. File-URL: http://www.inderscience.com/link.php?id=106096 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:4:p:433-463 Template-Type: ReDIF-Article 1.0 Author-Name: Dheeraj Joshi Author-X-Name-First: Dheeraj Author-X-Name-Last: Joshi Author-Name: M.L. Mittal Author-X-Name-First: M.L. Author-X-Name-Last: Mittal Author-Name: Manish Kumar Author-X-Name-First: Manish Author-X-Name-Last: Kumar Title: An efficient teaching-learning-based optimisation algorithm for the resource-constrained project scheduling problem Abstract: This work proposes a teaching-learning-based optimisation algorithm as an alternative 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 <i>self-study</i> and <i>examination</i> 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 544-561 Issue: 4 Volume: 34 Year: 2020 Keywords: resource-constrained project scheduling; teaching-learning-based optimisation algorithm; metaheuristics. File-URL: http://www.inderscience.com/link.php?id=106097 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:34:y:2020:i:4:p:544-561 Template-Type: ReDIF-Article 1.0 Author-Name: Iñigo L. Ansorena Author-X-Name-First: Iñigo L. Author-X-Name-Last: Ansorena Title: Operational strategies for managing container terminals. An approach based on closed queuing networks 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 (<i>μ</i><SUB align="right"><SMALL>1</SMALL></SUB>) and the impact of traffic on port performance (<i>μ</i><SUB align="right"><SMALL>2</SMALL></SUB>). 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 1-12 Issue: 1 Volume: 35 Year: 2020 Keywords: Jackson network; resource allocation; container terminals; operations management; port performance; trucks; traffic; bay plans; service rate; berth productivity; yard productivity; queues; MATLAB. File-URL: http://www.inderscience.com/link.php?id=106847 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:1:p:1-12 Template-Type: ReDIF-Article 1.0 Author-Name: P. Venkateshwar Reddy Author-X-Name-First: P. Venkateshwar Author-X-Name-Last: Reddy Author-Name: B. Veerabhadra Reddy Author-X-Name-First: B. Veerabhadra Author-X-Name-Last: Reddy Author-Name: P. Janaki Ramulu Author-X-Name-First: P. Janaki Author-X-Name-Last: Ramulu Title: Mathematical modelling for prediction of tube hydroforming process using RSM and ANN 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). Journal: Int. J. of Industrial and Systems Engineering Pages: 13-27 Issue: 1 Volume: 35 Year: 2020 Keywords: tube hydroforming; THF; FEM; RSM; artificial neural network; ANN; optimisation. File-URL: http://www.inderscience.com/link.php?id=106848 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:1:p:13-27 Template-Type: ReDIF-Article 1.0 Author-Name: Ajay Bohtan Author-X-Name-First: Ajay Author-X-Name-Last: Bohtan Author-Name: K. Mathiyazhagan Author-X-Name-First: K. Author-X-Name-Last: Mathiyazhagan Author-Name: Prem Vrat Author-X-Name-First: Prem Author-X-Name-Last: Vrat Title: Throughput time reduction for transportation of foodgrains in public distribution system: a value analysis approach 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 28-56 Issue: 1 Volume: 35 Year: 2020 Keywords: supply chain management; SCM; public distribution system; PDS; value addition; value chain analysis; VCA; throughput time. File-URL: http://www.inderscience.com/link.php?id=106849 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:1:p:28-56 Template-Type: ReDIF-Article 1.0 Author-Name: H.M. Emrul Kays Author-X-Name-First: H.M. Emrul Author-X-Name-Last: Kays Author-Name: A.N. Mustafizul Karim Author-X-Name-First: A.N. Mustafizul Author-X-Name-Last: Karim Author-Name: Mohd Radzi C. Daud Author-X-Name-First: Mohd Radzi C. Author-X-Name-Last: Daud Title: A responsive multiplicative Holt-Winters approach for enhanced forecasting accuracy Abstract: In today's competitive business world, the quest for a more reliable forecasting method is an ongoing process. As a classical and reliable technique the Conventional Multiplicative Holt-Winters (CMHW) approach has been widely used in which three different recursion processes are incorporated to estimate the level, growth rate and the seasonal parameter. A set of estimated initial values having the number of elements equivalent to the seasonal length is used to initiate recursion for seasonal parameter. But the recursion processes of level and growth rate, initiated by using the individual single stationary values, might reflect a strong adherence to the preceding patterns of data sets compromising the forecasting accuracy. In this context the CMHW approach is modified with a periodic updating procedure in recursion process of the level and growth rate values. The proposed Responsive Multiplicative Holt-Winters (RMHW) method with a dynamic adjustment feature is validated through various sets of data. Journal: Int. J. of Industrial and Systems Engineering Pages: 114-134 Issue: 1 Volume: 35 Year: 2020 Keywords: seasonal patterns; demand forecasting; smoothing constants; multiplicative Holt-Winters method; forecasting accuracy. File-URL: http://www.inderscience.com/link.php?id=106850 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:1:p:114-134 Template-Type: ReDIF-Article 1.0 Author-Name: Panteha Alipour Author-X-Name-First: Panteha Author-X-Name-Last: Alipour Author-Name: Purushothaman Damodaran Author-X-Name-First: Purushothaman Author-X-Name-Last: Damodaran Author-Name: Christine Nguyen Author-X-Name-First: Christine Author-X-Name-Last: Nguyen Title: Using GRASP approach and path relinking to minimise total number of tardy jobs on a single batch processing machine 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 80-99 Issue: 1 Volume: 35 Year: 2020 Keywords: number of tardy jobs; batch processing machine; BPM; scheduling; GRASP; path relinking. File-URL: http://www.inderscience.com/link.php?id=106852 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:1:p:80-99 Template-Type: ReDIF-Article 1.0 Author-Name: Evgenii V. Larkin Author-X-Name-First: Evgenii V. Author-X-Name-Last: Larkin Author-Name: Aleksandr N. Privalov Author-X-Name-First: Aleksandr N. Author-X-Name-Last: Privalov Title: The discrete analysis of relay-races 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 <i>J</i> stages relay-races, in which participate <i>M</i> 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 100-113 Issue: 1 Volume: 35 Year: 2020 Keywords: relay-race; semi-Markov process; time density sampling; rigid schedule; distributed forfeit; stochastic summation. File-URL: http://www.inderscience.com/link.php?id=106854 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:1:p:100-113 Template-Type: ReDIF-Article 1.0 Author-Name: Khine Mi Mi Hmu Tin Author-X-Name-First: Khine Mi Mi Hmu Author-X-Name-Last: Tin Author-Name: Henry Lau Author-X-Name-First: Henry Author-X-Name-Last: Lau Title: A business process decision model for client evaluation using fuzzy AHP and TOPSIS 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) company's 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 57-79 Issue: 1 Volume: 35 Year: 2020 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. File-URL: http://www.inderscience.com/link.php?id=106857 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:1:p:57-79 Template-Type: ReDIF-Article 1.0 Author-Name: Mohsen Zamani Author-X-Name-First: Mohsen Author-X-Name-Last: Zamani Author-Name: Mahdi Abolghasemi Author-X-Name-First: Mahdi Author-X-Name-Last: Abolghasemi Author-Name: Seyed Mohammad Seyed Hosseini Author-X-Name-First: Seyed Mohammad Seyed Author-X-Name-Last: Hosseini Author-Name: Mir Saman Pishvaee Author-X-Name-First: Mir Saman Author-X-Name-Last: Pishvaee Title: Considering pricing and uncertainty in designing a reverse logistics network Abstract: Companies try to maximise 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 nonlinear programming (MINLP) model is proposed to determine the location of collection centres, 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 analysed for various values of the risk parameters (<i>α</i>, and <i>λ</i>). These parameters indicate that considering risk affects prices, the classification of returned products, the location of collection centres and, consequently, the objective function. The model performs more conservatively when the weight of the CVaR part (<i>λ</i>) and the value of the confidence level <i>α</i> are increased. The results show that better profits are obtained when we take CVaR into account. Journal: Int. J. of Industrial and Systems Engineering Pages: 158-182 Issue: 2 Volume: 35 Year: 2020 Keywords: reverse logistics; network design; pricing; risk. File-URL: http://www.inderscience.com/link.php?id=107554 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:2:p:158-182 Template-Type: ReDIF-Article 1.0 Author-Name: Zahra Poursafar Author-X-Name-First: Zahra Author-X-Name-Last: Poursafar Author-Name: Lewlyn L.R. Rodrigues Author-X-Name-First: Lewlyn L.R. Author-X-Name-Last: Rodrigues Author-Name: Mohammad Haghighatpanah Author-X-Name-First: Mohammad Author-X-Name-Last: Haghighatpanah Author-Name: K.V. Sriram Author-X-Name-First: K.V. Author-X-Name-Last: Sriram Title: Influence of demographic factors on productivity: a study among employees with different personality types in architectural firms 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 183-195 Issue: 2 Volume: 35 Year: 2020 Keywords: demographic factors; productivity; personality types; Myers-Briggs type indicator; MBTI; psychology; architects' offices. File-URL: http://www.inderscience.com/link.php?id=107557 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:2:p:183-195 Template-Type: ReDIF-Article 1.0 Author-Name: Yu-Chung Tsao Author-X-Name-First: Yu-Chung Author-X-Name-Last: Tsao Author-Name: Arke Li Author-X-Name-First: Arke Author-X-Name-Last: Li Author-Name: Thuy-Linh Vu Author-X-Name-First: Thuy-Linh Author-X-Name-Last: Vu Author-Name: Lu-Wen Liao Author-X-Name-First: Lu-Wen Author-X-Name-Last: Liao Author-Name: Qinhong Zhang Author-X-Name-First: Qinhong Author-X-Name-Last: Zhang Title: Channel coordination under predictive and corrective maintenance outsourcing 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 216-234 Issue: 2 Volume: 35 Year: 2020 Keywords: predictive maintenance; PdM; maintenance outsourcing; corrective maintenance; channel coordination; contract design. File-URL: http://www.inderscience.com/link.php?id=107571 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:2:p:216-234 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Yavari Author-X-Name-First: Mohammad Author-X-Name-Last: Yavari Author-Name: Mohammad Aftabsavar Author-X-Name-First: Mohammad Author-X-Name-Last: Aftabsavar Author-Name: Mohaddese Geraeli Author-X-Name-First: Mohaddese Author-X-Name-Last: Geraeli Title: Simultaneous supplier selection and network configuration for green closed-loop supply chain under uncertainty 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 CO<SUB align="right"><SMALL>2</SMALL></SUB> 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 CO<SUB align="right"><SMALL>2</SMALL></SUB> emission and has no infeasibilities. Journal: Int. J. of Industrial and Systems Engineering Pages: 235-274 Issue: 2 Volume: 35 Year: 2020 Keywords: green closed-loop supply chain; supplier selection; network configuration; uncertainty; robust optimisation. File-URL: http://www.inderscience.com/link.php?id=107572 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:2:p:235-274 Template-Type: ReDIF-Article 1.0 Author-Name: Hui Hu Author-X-Name-First: Hui Author-X-Name-Last: Hu Author-Name: Hai Ma Author-X-Name-First: Hai Author-X-Name-Last: Ma Author-Name: Jing He Author-X-Name-First: Jing Author-X-Name-Last: He Author-Name: Baowen Li Author-X-Name-First: Baowen Author-X-Name-Last: Li Author-Name: Yang Gao Author-X-Name-First: Yang Author-X-Name-Last: Gao Title: Coupling influence of multiple disruptions in supply chain 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 135-157 Issue: 2 Volume: 35 Year: 2020 Keywords: supply chain; multiple disruptions; coupling; utility; simulation. File-URL: http://www.inderscience.com/link.php?id=107575 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:2:p:135-157 Template-Type: ReDIF-Article 1.0 Author-Name: Iram Naim Author-X-Name-First: Iram Author-X-Name-Last: Naim Author-Name: Tripti Mahara Author-X-Name-First: Tripti Author-X-Name-Last: Mahara Author-Name: Sharfuddin Ahmed Khan Author-X-Name-First: Sharfuddin Ahmed Author-X-Name-Last: Khan Title: Ranking of univariate forecasting techniques for seasonal time series using analytical hierarchy process 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 Theil's 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 naïve + season level trend (SLT), error, trend, seasonal (ETS), seasonal autoregressive moving average (SARIMA), exponential smoothing state space model with Box-Cox transformation (BATS) and trigonometric exponential smoothing state space model with Box-Cox transformation (TBATS) for seasonal data. The proposed framework is validated through real-time data provided by a public sector company in India. Ranking obtained from the developed AHP framework suggests that SARIMA is ranked top amongst all the techniques for short-term forecasting of seasonal data. Journal: Int. J. of Industrial and Systems Engineering Pages: 196-215 Issue: 2 Volume: 35 Year: 2020 Keywords: time series analysis; forecasting; analytical hierarchy process; AHP; seasonality; TBATS; seasonal autoregressive moving average; SARIMA; accuracy measures. File-URL: http://www.inderscience.com/link.php?id=107581 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:2:p:196-215 Template-Type: ReDIF-Article 1.0 Author-Name: Ejaz Gul Author-X-Name-First: Ejaz Author-X-Name-Last: Gul Title: Use of industrial robots in developing country's scenario; evidence from three-dimensional wireframe graphs of production 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 a 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 long run; in robot solo scenario (substitute), production increases in short run but decreases in long run more than human solo scenario; while production increases in short and long run when robots are used mixed with human effort. Journal: Int. J. of Industrial and Systems Engineering Pages: 275-289 Issue: 3 Volume: 35 Year: 2020 Keywords: robot; human; solo; substitute; complement; industry; production; short run; long run; increase; decrease. File-URL: http://www.inderscience.com/link.php?id=107771 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:3:p:275-289 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Alkahtani Author-X-Name-First: Mohammed Author-X-Name-Last: Alkahtani Author-Name: Shafiq Ahmad Author-X-Name-First: Shafiq Author-X-Name-Last: Ahmad Author-Name: Mohammed A. Noman Author-X-Name-First: Mohammed A. Author-X-Name-Last: Noman Author-Name: Husam Kaid Author-X-Name-First: Husam Author-X-Name-Last: Kaid Author-Name: Ahmed Badwelan Author-X-Name-First: Ahmed Author-X-Name-Last: Badwelan Title: Bibliometric research indicators for green supply chain modelling 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 314-344 Issue: 3 Volume: 35 Year: 2020 Keywords: bibliometric; green supply chain modelling; GSCM; sustainability. File-URL: http://www.inderscience.com/link.php?id=107772 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:3:p:314-344 Template-Type: ReDIF-Article 1.0 Author-Name: Yaser Vahedi Geshniani Author-X-Name-First: Yaser Vahedi Author-X-Name-Last: Geshniani Author-Name: Reza Kamranrad Author-X-Name-First: Reza Author-X-Name-Last: Kamranrad Author-Name: Iman Emami Author-X-Name-First: Iman Author-X-Name-Last: Emami Title: A multi-objective scheduling payment pattern for project cash flow by considering resource constraints (a case study in power transfer system) 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 299-313 Issue: 3 Volume: 35 Year: 2020 Keywords: project scheduling; payment patterns; meta-heuristic algorithms; comparison of payment patterns. File-URL: http://www.inderscience.com/link.php?id=107773 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:3:p:299-313 Template-Type: ReDIF-Article 1.0 Author-Name: A. Naga Phaneendra Author-X-Name-First: A. Naga Author-X-Name-Last: Phaneendra Author-Name: V. Diwakar Reddy Author-X-Name-First: V. Diwakar Author-X-Name-Last: Reddy Author-Name: G. Sankaraiah Author-X-Name-First: G. Author-X-Name-Last: Sankaraiah Title: Order quantity allocation for total inventory cost optimisation to selected suppliers through VIKOR technique 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 290-298 Issue: 3 Volume: 35 Year: 2020 Keywords: order quantity; inventory management; supplier selection; VIKOR method. File-URL: http://www.inderscience.com/link.php?id=107774 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:3:p:290-298 Template-Type: ReDIF-Article 1.0 Author-Name: Essam Kaoud Author-X-Name-First: Essam Author-X-Name-Last: Kaoud Author-Name: Mahmoud Heshmat Author-X-Name-First: Mahmoud Author-X-Name-Last: Heshmat Author-Name: Mahmoud A. El-Sharief Author-X-Name-First: Mahmoud A. Author-X-Name-Last: El-Sharief Author-Name: Mohamed G. El-Sebaie Author-X-Name-First: Mohamed G. Author-X-Name-Last: El-Sebaie Title: Scheduling of automated guided vehicles and machines in flexible manufacturing systems: a simulation study 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 372-387 Issue: 3 Volume: 35 Year: 2020 Keywords: flexible manufacturing system; FMSs; automated guided vehicle; AGVs; scheduling; simulation. File-URL: http://www.inderscience.com/link.php?id=107775 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:3:p:372-387 Template-Type: ReDIF-Article 1.0 Author-Name: Warisa Wisittipanich Author-X-Name-First: Warisa Author-X-Name-Last: Wisittipanich Author-Name: Takashi Irohara Author-X-Name-First: Takashi Author-X-Name-Last: Irohara Author-Name: Piya Hengmeechai Author-X-Name-First: Piya Author-X-Name-Last: Hengmeechai Title: Particle swarm optimisation for truck scheduling problem in cross docking network 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 345-371 Issue: 3 Volume: 35 Year: 2020 Keywords: truck scheduling; cross docking network; particle swarm optimisation; PSO; makespan. File-URL: http://www.inderscience.com/link.php?id=107778 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:3:p:345-371 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Osman Kuşakcı Author-X-Name-First: Ali Osman Author-X-Name-Last: Kuşakcı Author-Name: Elif Karakaya Cesur Author-X-Name-First: Elif Karakaya Author-X-Name-Last: Cesur Title: Retailer layout design: a novel hybrid approach with association rules mining and MCRAFT 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 389-409 Issue: 4 Volume: 35 Year: 2020 Keywords: association rule mining; ARM; facility layout algorithm; supermarket layout; apriori algorithm. File-URL: http://www.inderscience.com/link.php?id=108545 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:4:p:389-409 Template-Type: ReDIF-Article 1.0 Author-Name: Salim Kalla Author-X-Name-First: Salim Author-X-Name-Last: Kalla Author-Name: Sonia Sabrina Bendib Author-X-Name-First: Sonia Sabrina Author-X-Name-Last: Bendib Author-Name: Hocine Riadh Author-X-Name-First: Hocine Author-X-Name-Last: Riadh Author-Name: Hamoudi Kalla Author-X-Name-First: Hamoudi Author-X-Name-Last: Kalla Title: Minimising makespan in embedded real-time systems with failure rate requirements 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 451-462 Issue: 4 Volume: 35 Year: 2020 Keywords: task scheduling; embedded systems; real-time systems; makespan; failure rate; reliability; task redundancy. File-URL: http://www.inderscience.com/link.php?id=108546 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:4:p:451-462 Template-Type: ReDIF-Article 1.0 Author-Name: Zhe Zhang Author-X-Name-First: Zhe Author-X-Name-Last: Zhang Author-Name: Luming Shao Author-X-Name-First: Luming Author-X-Name-Last: Shao Author-Name: Yong Yin Author-X-Name-First: Yong Author-X-Name-Last: Yin Title: PSO-based algorithm for solving lot splitting in unbalanced seru production system Abstract: <i>Seru</i> 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 <i>seru</i> production system, including worker assignment and order scheduling. This paper aims to address a scheduling problem in unbalanced <i>seru</i> 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 <i>seru</i> formations and arrange orders to different <i>serus</i>. Subsequently, motivated by the particular nature of proposed model, a solution method based on PSO algorithm is designed to assign workers to each <i>seru</i> 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 433-450 Issue: 4 Volume: 35 Year: 2020 Keywords: seru formation; scheduling; lot splitting; particle swarm optimisation; PSO. File-URL: http://www.inderscience.com/link.php?id=108547 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:4:p:433-450 Template-Type: ReDIF-Article 1.0 Author-Name: N. Jayasree Author-X-Name-First: N. Author-X-Name-Last: Jayasree Author-Name: T. Radha Ramanan Author-X-Name-First: T. Radha Author-X-Name-Last: Ramanan Author-Name: R. Sridharan Author-X-Name-First: R. Author-X-Name-Last: Sridharan Title: Analysis of the performance of competing models for aggregate demand forecasting using observable data characteristics 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 410-432 Issue: 4 Volume: 35 Year: 2020 Keywords: aggregate demand forecast; vector IMA(1, 1) model; observable data characteristics. File-URL: http://www.inderscience.com/link.php?id=108548 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:4:p:410-432 Template-Type: ReDIF-Article 1.0 Author-Name: Sunil Kumar Author-X-Name-First: Sunil Author-X-Name-Last: Kumar Author-Name: Ravindra Nath Yadav Author-X-Name-First: Ravindra Nath Author-X-Name-Last: Yadav Author-Name: Raghuvir Kumar Author-X-Name-First: Raghuvir Author-X-Name-Last: Kumar Title: Modelling and optimisation of duplex turning of titanium alloy (grade 5) using Taguchi methodology-response surface methodology 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 463-481 Issue: 4 Volume: 35 Year: 2020 Keywords: response surface methodology; RSM; surface roughness; Taguchi; turning; modelling: optimisation; analysis of variance; ANOVA; cutting force. File-URL: http://www.inderscience.com/link.php?id=108549 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:4:p:463-481 Template-Type: ReDIF-Article 1.0 Author-Name: Chirakiat Saithong Author-X-Name-First: Chirakiat Author-X-Name-Last: Saithong Author-Name: Huynh Trung Luong Author-X-Name-First: Huynh Trung Author-X-Name-Last: Luong Title: Effects of supply disruption on optimal inventory policy: the case of (r, S) continuous review inventory policy 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 482-508 Issue: 4 Volume: 35 Year: 2020 Keywords: supply disruption; continuous review inventory policy; stochastic demand; renewal reward process; expected path approach. File-URL: http://www.inderscience.com/link.php?id=108550 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:35:y:2020:i:4:p:482-508 Template-Type: ReDIF-Article 1.0 Author-Name: Dja Shin Wang Author-X-Name-First: Dja Shin Author-X-Name-Last: Wang Author-Name: Hau Yu Yang Author-X-Name-First: Hau Yu Author-X-Name-Last: Yang Author-Name: Tong Yuan Koo Author-X-Name-First: Tong Yuan Author-X-Name-Last: Koo Title: Variable sample size control chart for monitoring process capability index Cpm 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 VSS<i>C<SUB align="right"><SMALL>pm</SMALL></SUB></i>, to monitor PCIs for industry manufacturing to improve product quality. We setup 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 PCI <i>C<SUB align="right"><SMALL>pm</SMALL></SUB></i>. 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 32-48 Issue: 1 Volume: 36 Year: 2020 Keywords: process capability index; PCI; control chart; quality monitoring performance. File-URL: http://www.inderscience.com/link.php?id=109117 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:32-48 Template-Type: ReDIF-Article 1.0 Author-Name: Neeta Sharma Author-X-Name-First: Neeta Author-X-Name-Last: Sharma Author-Name: Prem Vrat Author-X-Name-First: Prem Author-X-Name-Last: Vrat Title: Impact of consumption behaviour on stock-induced material waste 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 17-31 Issue: 1 Volume: 36 Year: 2020 Keywords: behavioural inventory management; material waste; stock-induced consumption; behavioural grid; indifference curve; simulation; behavioural parameter. File-URL: http://www.inderscience.com/link.php?id=109118 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:17-31 Template-Type: ReDIF-Article 1.0 Author-Name: Lenin Nagarajan Author-X-Name-First: Lenin Author-X-Name-Last: Nagarajan Author-Name: Siva Kumar Mahalingam Author-X-Name-First: Siva Kumar Author-X-Name-Last: Mahalingam Author-Name: Jayakrishna Kandasamy Author-X-Name-First: Jayakrishna Author-X-Name-Last: Kandasamy Author-Name: Selvakumar Gurusamy Author-X-Name-First: Selvakumar Author-X-Name-Last: Gurusamy Title: Application of artificial immune system algorithm for simultaneous minimisation of multiple objectives in single row facility layout problems 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). Journal: Int. J. of Industrial and Systems Engineering Pages: 49-72 Issue: 1 Volume: 36 Year: 2020 Keywords: artificial immune system algorithm; single row facility layout problems; SRFLP; best layout; multiple objectives; multi-product environment. File-URL: http://www.inderscience.com/link.php?id=109119 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:49-72 Template-Type: ReDIF-Article 1.0 Author-Name: Sanjeev Yadav Author-X-Name-First: Sanjeev Author-X-Name-Last: Yadav Author-Name: Dixit Garg Author-X-Name-First: Dixit Author-X-Name-Last: Garg Author-Name: Sunil Luthra Author-X-Name-First: Sunil Author-X-Name-Last: Luthra Title: Analysing challenges for internet of things adoption in agriculture supply chain management 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 73-97 Issue: 1 Volume: 36 Year: 2020 Keywords: internet of things; IoT; agriculture supply chain; ASC; TOPSIS; radio frequency identification; RFID. File-URL: http://www.inderscience.com/link.php?id=109121 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:73-97 Template-Type: ReDIF-Article 1.0 Author-Name: Miguel Rojas-Santiago Author-X-Name-First: Miguel Author-X-Name-Last: Rojas-Santiago Author-Name: Shanthi Muthuswamy Author-X-Name-First: Shanthi Author-X-Name-Last: Muthuswamy Author-Name: Maria Hulett Author-X-Name-First: Maria Author-X-Name-Last: Hulett Title: An ACO algorithm for scheduling a flow shop with setup times 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 98-109 Issue: 1 Volume: 36 Year: 2020 Keywords: ant colony optimisation; ACO; scheduling; makespan; flow shop; setup time; particle swarm optimisation; PSO. File-URL: http://www.inderscience.com/link.php?id=109123 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:98-109 Template-Type: ReDIF-Article 1.0 Author-Name: Zhimin Lv Author-X-Name-First: Zhimin Author-X-Name-Last: Lv Title: Simulation of grasping attitude control of robotic arm based on synovial error feedback 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 110-124 Issue: 1 Volume: 36 Year: 2020 Keywords: synovial membrane; error feedback regulation; robotic arm; grasping; attitude positioning; steady state error. File-URL: http://www.inderscience.com/link.php?id=109124 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:110-124 Template-Type: ReDIF-Article 1.0 Author-Name: Sanjeev Kumar Author-X-Name-First: Sanjeev Author-X-Name-Last: Kumar Author-Name: Rakesh Pandey Author-X-Name-First: Rakesh Author-X-Name-Last: Pandey Title: Automated university course timetable generator Abstract: Scheduling and planning are considered difficult combinatorial optimisation problems and belong to the NP-complete class. The university course timetabling problem (UCTP) is one such type of problem which is to be solved under various constraints. The purpose of this paper is to create a university course timetable generator to automate the university course scheduling process, which is one of the most challenging and cumbersome tasks for the administration. All modules of the proposed timetable generator are inter-linked in SQL database and implemented in C# programming on the .NET platform. The proposed university course timetable generator is tested on several randomly generated problem instances of various complexities to verify the efficiency. The outcomes of them signify the importance of the solver, as it is producing a conflict-free timetable by taking very less amount of time and primary memory. Journal: Int. J. of Industrial and Systems Engineering Pages: 1-16 Issue: 1 Volume: 36 Year: 2020 Keywords: university course timetabling problem; UCTP; combinatorial optimisation; scheduling; timetable generator; C# programming; .NET; SQL server. File-URL: http://www.inderscience.com/link.php?id=109133 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:1-16 Template-Type: ReDIF-Article 1.0 Author-Name: You-Yu Dai Author-X-Name-First: You-Yu Author-X-Name-Last: Dai Author-Name: An-Jin Shie Author-X-Name-First: An-Jin Author-X-Name-Last: Shie Author-Name: Z-John Liu Author-X-Name-First: Z-John Author-X-Name-Last: Liu Title: How service industry attract employee? Evidence from website quality Abstract: Because of the concept of the modern service industry, the service industry is increasingly extensive. Websites are the first step in contact between a company and its employees. Therefore, this article aims to discuss website quality and company attractiveness and the relationship between these two factors. This study introduced perceived usefulness and perceived ease of use as intermediate variables. Four sectors in the service industry were selected for research, namely scientific research, technical services and geological prospecting, tourism, and finance industry and education staff. Subsequently, we administered a questionnaire to demonstrate the research framework. In this study, 466 service industry employees were sampled using path analysis. The results of this study revealed that perceived ease of use is an intermediate variable between company website quality and company attractiveness. Corporate culture fit was the most crucial factor of company website quality and was proven highly effective for enhancing company attractiveness. Employees with higher technology readiness (TR) are more conversant regarding how to utilise information provided by company websites. A company's website enables the company to interact with its employees, and the service firm should focus primarily on improving its perceived ease of use (PEOU) to help users retrieve information of interest. Journal: Int. J. of Industrial and Systems Engineering Pages: 125-148 Issue: 1 Volume: 36 Year: 2020 Keywords: technology acceptance model; TAM; service industry; website quality; enterprise attraction; corporate culture fit. File-URL: http://www.inderscience.com/link.php?id=109134 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:1:p:125-148 Template-Type: ReDIF-Article 1.0 Author-Name: Ahm Shamsuzzoha Author-X-Name-First: Ahm Author-X-Name-Last: Shamsuzzoha Author-Name: Petri Helo Author-X-Name-First: Petri Author-X-Name-Last: Helo Author-Name: Sujan Piya Author-X-Name-First: Sujan Author-X-Name-Last: Piya Author-Name: Mohammed Alkahtani Author-X-Name-First: Mohammed Author-X-Name-Last: Alkahtani Title: Modular product architecture to manage product development complexity 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 225-247 Issue: 2 Volume: 36 Year: 2020 Keywords: product architecture; design structure matrix; DSM; modularity; complexity; component interfaces; supply chain. File-URL: http://www.inderscience.com/link.php?id=110243 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:225-247 Template-Type: ReDIF-Article 1.0 Author-Name: Neeta Sharma Author-X-Name-First: Neeta Author-X-Name-Last: Sharma Author-Name: Prem Vrat Author-X-Name-First: Prem Author-X-Name-Last: Vrat Title: Impact of product-package design on material waste due to stock-induced consumption phenomenon 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 α and β for the consumption of toothpaste. Journal: Int. J. of Industrial and Systems Engineering Pages: 197-211 Issue: 2 Volume: 36 Year: 2020 Keywords: stock-dependent demand; stock-induced consumption; product and package design; sustainable consumption; orifice size; material waste. File-URL: http://www.inderscience.com/link.php?id=110244 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:197-211 Template-Type: ReDIF-Article 1.0 Author-Name: Shweta Upadhyaya Author-X-Name-First: Shweta Author-X-Name-Last: Upadhyaya Title: Cost optimisation of a discrete-time retrial queue with Bernoulli feedback and starting failure Abstract: In 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 υ or may not resume its service successfully with probability <i>ῡ</i> = 1 &minus; <i>υ</i> 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 <i>particle swarm optimisation (PSO) technique</i>. Finally, sensitivity analysis is also provided. Journal: Int. J. of Industrial and Systems Engineering Pages: 165-196 Issue: 2 Volume: 36 Year: 2020 Keywords: discrete-time retrial queue; preferred customer; impatient customer; Bernoulli feedback; starting failure; system size; particle swarm optimisation. File-URL: http://www.inderscience.com/link.php?id=110245 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:165-196 Template-Type: ReDIF-Article 1.0 Author-Name: L.N. Pattanaik Author-X-Name-First: L.N. Author-X-Name-Last: Pattanaik Author-Name: Abinash Jena Author-X-Name-First: Abinash Author-X-Name-Last: Jena Title: Selection of optimal assembly strategy at an engine assembly plant using fuzzy multi-criteria decision-making tools 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 281-299 Issue: 2 Volume: 36 Year: 2020 Keywords: assembly strategy; reconfigurable assembly systems; RASs; multi-criteria decision making; MCDM; fuzzy-VIKOR; fuzzy-TOPSIS. File-URL: http://www.inderscience.com/link.php?id=110246 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:281-299 Template-Type: ReDIF-Article 1.0 Author-Name: Song Yang Author-X-Name-First: Song Author-X-Name-Last: Yang Author-Name: Jing Yang Author-X-Name-First: Jing Author-X-Name-Last: Yang Title: Design of urban landscape visual simulation system based on three-dimensional simulation technology 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 266-280 Issue: 2 Volume: 36 Year: 2020 Keywords: three-dimensional simulation technology; urban landscape; vision; system design. File-URL: http://www.inderscience.com/link.php?id=110248 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:266-280 Template-Type: ReDIF-Article 1.0 Author-Name: Hsien-Jen Lin Author-X-Name-First: Hsien-Jen Author-X-Name-Last: Lin Title: Optimal control of a stochastic production inventory system with controllable backorder rate and investment to reduce inventory level variability Abstract: This paper develops an inventory model that allows the backorder rate and inventory level variability to be control variables to widen the scope of applications of Lin's (2017a) model. We assume that the backorder rate is dependent on the amount of shortages according to a negative exponential function and the supplier could offer a backorder price discount on the stock-out item by negotiation to determine a target value of backorder rate and secure more backorders. Moreover, we investigate the impact of investing in inventory level variability reduction on inventory related costs. The objective of this paper is to simultaneously determine the optimal backorder price discount, inventory level variability, and switch-over control parameters <i>m</i> and <i>M</i> to minimise the long-run total expected cost of the system and improve the competitive edge. Numerical examples are also given to demonstrate the benefits of the model. Journal: Int. J. of Industrial and Systems Engineering Pages: 149-164 Issue: 2 Volume: 36 Year: 2020 Keywords: production inventory model; backorder price discount; investment; variable production rate; backorder rate. File-URL: http://www.inderscience.com/link.php?id=110275 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:149-164 Template-Type: ReDIF-Article 1.0 Author-Name: Renyu Luo Author-X-Name-First: Renyu Author-X-Name-Last: Luo Author-Name: Qingsheng Guo Author-X-Name-First: Qingsheng Author-X-Name-Last: Guo Author-Name: Huali Wang Author-X-Name-First: Huali Author-X-Name-Last: Wang Author-Name: Jianfeng Zhong Author-X-Name-First: Jianfeng Author-X-Name-Last: Zhong Author-Name: Tianming Yu Author-X-Name-First: Tianming Author-X-Name-Last: Yu Author-Name: Xueliang Wang Author-X-Name-First: Xueliang Author-X-Name-Last: Wang Author-Name: Renkai Luo Author-X-Name-First: Renkai Author-X-Name-Last: Luo Title: The simulation of elevator traffic flow based on VC++ Abstract: Elevators have become an indispensable tool for people. If each program is used in practice, it will waste a lot of human resources, material resources and financial resources, so the elevator simulation platform has played its advantages. Among them, the generation of traffic flow is the key factor. In order to realise the reasonable configuration of the elevator, it is necessary to accurately simulate the traffic flow in each period of the building, and the MATLAB program is calling by VC++ to complete the simulation. Through this method, the traffic flow at different times can be simulated by simple operation, and this method can fully play the advantages of the respective programs. Journal: Int. J. of Industrial and Systems Engineering Pages: 212-224 Issue: 2 Volume: 36 Year: 2020 Keywords: elevator traffic flow; VC++; MATLAB; simulation; traffic pattern; elevator; starting floors; destination floors; Poisson distribution; up peak traffic mode. File-URL: http://www.inderscience.com/link.php?id=110276 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:212-224 Template-Type: ReDIF-Article 1.0 Author-Name: Rahul S. Mor Author-X-Name-First: Rahul S. Author-X-Name-Last: Mor Author-Name: Arvind Bhardwaj Author-X-Name-First: Arvind Author-X-Name-Last: Bhardwaj Author-Name: Sarbjit Singh Author-X-Name-First: Sarbjit Author-X-Name-Last: Singh Author-Name: Vinkel Kumar Arora Author-X-Name-First: Vinkel Kumar Author-X-Name-Last: Arora Title: Exploring the factors affecting supply chain performance in dairy industry using exploratory factor analysis technique Abstract: This paper explores the factors affecting supply chain performance of dairy industry and to develop a framework using exploratory factor analysis (EFA) technique. A pre-structured questionnaire survey was conducted to explore the key factors of three interfaces of dairy supply chain viz. procurement, production, and distribution. The respondents were requested to rate the 50 statements/issues of different dairy supply chain practices on five-point Likert scale. The results of EFA grouped the 50 statements into eleven factors. The results reveal that dairy industry necessities substantial development in the supply chain practices in order to be competitive and proficient. Further, the study is helpful for the firms in the milk processing sector for handling the demand fluctuations, improved product quality, execution of effective information system, process flexibility and hence, enhanced supply chain performance. Journal: Int. J. of Industrial and Systems Engineering Pages: 248-265 Issue: 2 Volume: 36 Year: 2020 Keywords: exploratory factor analysis; EFA; supply chain; dairy industry; multivariate data analysis; procurement; production; distribution. File-URL: http://www.inderscience.com/link.php?id=110277 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:2:p:248-265 Template-Type: ReDIF-Article 1.0 Author-Name: R.K. Tiwari Author-X-Name-First: R.K. Author-X-Name-Last: Tiwari Author-Name: Jeetendra Kumar Tiwari Author-X-Name-First: Jeetendra Kumar Author-X-Name-Last: Tiwari Title: Prioritisation of attributes of green leanness and agility to achieve sustainable strategic advantages in Indian automotive SMEs environment 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 316-338 Issue: 3 Volume: 36 Year: 2020 Keywords: prioritisation; sustainable strategic advantage; India automotive SMEs; green manufacturing; lean manufacturing; agile manufacturing; structural equation modelling; SEM; entropy value methodology; MCDM. File-URL: http://www.inderscience.com/link.php?id=110931 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:3:p:316-338 Template-Type: ReDIF-Article 1.0 Author-Name: Abid Haleem Author-X-Name-First: Abid Author-X-Name-Last: Haleem Author-Name: Mohd Javaid Author-X-Name-First: Mohd Author-X-Name-Last: Javaid Author-Name: Shahbaz Khan Author-X-Name-First: Shahbaz Author-X-Name-Last: Khan Author-Name: Mohd Imran Khan Author-X-Name-First: Mohd Imran Author-X-Name-Last: Khan Title: Retrospective investigation of flexibility and their factors in additive manufacturing systems 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 400-429 Issue: 3 Volume: 36 Year: 2020 Keywords: 3D printing; 3D scanning; additive manufacturing; AM; analytical hierarchical process; AHP; flexibility; product design; rapid prototyping; RP. File-URL: http://www.inderscience.com/link.php?id=110932 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:3:p:400-429 Template-Type: ReDIF-Article 1.0 Author-Name: Swarnambuj Suman Author-X-Name-First: Swarnambuj Author-X-Name-Last: Suman Author-Name: Anupam Das Author-X-Name-First: Anupam Author-X-Name-Last: Das Title: Monitoring strategy for a multistage manufacturing facility using K-means clustering technique 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 301-315 Issue: 3 Volume: 36 Year: 2020 Keywords: K-means clustering algorithm; MBPCA; multistage manufacturing facility; fault detection; fault diagnosis; principal component analysis; PCA; process monitoring. File-URL: http://www.inderscience.com/link.php?id=110933 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:3:p:301-315 Template-Type: ReDIF-Article 1.0 Author-Name: Ajyuk Jayaraj Author-X-Name-First: Ajyuk Author-X-Name-Last: Jayaraj Author-Name: Vinay V. Panicker Author-X-Name-First: Vinay V. Author-X-Name-Last: Panicker Author-Name: R. Sridharan Author-X-Name-First: R. Author-X-Name-Last: Sridharan Title: Large-scale model and solution for integrated maintenance routing and tail assignment problem in airline industry 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 384-399 Issue: 3 Volume: 36 Year: 2020 Keywords: maintenance routing; tail assignment; airline scheduling; ad hoc maintenance; large-scale optimisation; combinatorial optimisation; integrated planning. File-URL: http://www.inderscience.com/link.php?id=110934 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:3:p:384-399 Template-Type: ReDIF-Article 1.0 Author-Name: Melina Vidoni Author-X-Name-First: Melina Author-X-Name-Last: Vidoni Author-Name: Jorge Marcelo Montagna Author-X-Name-First: Jorge Marcelo Author-X-Name-Last: Montagna Author-Name: Aldo Vecchietti Author-X-Name-First: Aldo Author-X-Name-Last: Vecchietti Title: Analysis, design and development of advanced planning systems 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. Journal: Int. J. of Industrial and Systems Engineering Pages: 361-383 Issue: 3 Volume: 36 Year: 2020 Keywords: advanced planning systems; APS; software architecture; software analysis and design. File-URL: http://www.inderscience.com/link.php?id=110937 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:3:p:361-383 Template-Type: ReDIF-Article 1.0 Author-Name: Jae-Dong Hong Author-X-Name-First: Jae-Dong Author-X-Name-Last: Hong Title: Two-stage efficiency-based approach to biofuel supply chain logistics network design under the risk of disruptions Abstract: This paper deals with a design problem for the biofuel supply chain logistics network (<i>BSCLN</i>) under the risk of disruptions. Under a circumstance of disruptions, the <i>BSCLN</i> 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 <i>BSCLN</i> configurations that depend on the weights assigned to the goals. Then, the two-stage NDEA is applied to find the overall efficiency of <i>BSCLN</i> and to identify most efficient <i>BSCLN</i> 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 <i>BSCLN</i> schemes, which would be able to attract potential investors who are interested in investing in the biofuel industry. Journal: Int. J. of Industrial and Systems Engineering Pages: 339-360 Issue: 3 Volume: 36 Year: 2020 Keywords: biofuel supply chain logistics network; BSCLN; goal programming; two-stage network; data envelopment analysis; overall efficiency. File-URL: http://www.inderscience.com/link.php?id=110938 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:3:p:339-360 Template-Type: ReDIF-Article 1.0 Author-Name: Hamdi Bashir Author-X-Name-First: Hamdi Author-X-Name-Last: Bashir Author-Name: Ibrahim Garbie Author-X-Name-First: Ibrahim Author-X-Name-Last: Garbie Author-Name: Adel Hejaaji Author-X-Name-First: Adel Author-X-Name-Last: Hejaaji Title: Reconfiguration of hospital outpatient pharmacies by adopting the concept of group technology for arrangement of drugs on shelves Abstract: Reconfiguration of hospital outpatient pharmacies is necessary to achieve several benefits, including improved workflows, reduction in the total distances travelled by pharmacy drug pickers, and reduction in patient waiting times, thereby increasing patient satisfaction. To achieve this purpose, this paper proposes the use of a methodology that involves application of group technology, a manufacturing concept, to the drug-shelving problem. To demonstrate its practicality, the proposed methodology is applied to an outpatient pharmacy in a public hospital, in which 21 drug groups, comprising 114 different drugs, are clustered into eight cells, where each cell consists of interrelated drug groups that are to be located in close proximity on the shelves. Unlike those proposed in the literature, the methodology described in this paper, in addition to its simplicity, has the advantage of retaining the arrangement of drugs in their groups while minimising the total distance that pharmacy drug pickers travel to fill prescriptions. Journal: Int. J. of Industrial and Systems Engineering Pages: 430-450 Issue: 3 Volume: 36 Year: 2020 Keywords: drug shelving; travel distances; group technology; cellular manufacturing. File-URL: http://www.inderscience.com/link.php?id=110948 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:36:y:2020:i:3:p:430-450