Template-Type: ReDIF-Article 1.0 Author-Name: Yulong Wang Author-X-Name-First: Yulong Author-X-Name-Last: Wang Author-Name: Zhe Zhang Author-X-Name-First: Zhe Author-X-Name-Last: Zhang Author-Name: Yong Yin Author-X-Name-First: Yong Author-X-Name-Last: Yin Title: An order scheduling problem in seru production system considering worker assignment Abstract: As one of the latest production modes, <i>seru</i> production, which is arising from Japanese manufacturing practice, has been attracted more and more attention due to its efficiency, flexibility, and quick response ability. In this paper, the scheduling problem with worker assignment in the <i>seru</i> production system is studied where a set of orders must be scheduled over the parallel <i>serus</i> according to the due date. This problem is constructed as a multi-objective model to minimise the total variable cost (TVC) and total idle time (TIT). Then, according to the characteristics of proposed model, the K-means clustering is used to solve the worker assignment and the artificial bee colony (ABC) algorithm is used to solve the order scheduling problem. Finally, the practicality and effectiveness of the proposed model and algorithm are demonstrated by the numerical examples, and the results show that the artificial bee colony algorithm has a good scalability. Journal: Int. J. of Industrial and Systems Engineering Pages: 149-167 Issue: 2 Volume: 37 Year: 2021 Keywords: order scheduling problem; seru; worker assignment; artificial bee colony algorithm; K-means clustering; KMC. File-URL: http://www.inderscience.com/link.php?id=112898 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:149-167 Template-Type: ReDIF-Article 1.0 Author-Name: Yuguo Zheng Author-X-Name-First: Yuguo Author-X-Name-Last: Zheng Author-Name: Yu Wang Author-X-Name-First: Yu Author-X-Name-Last: Wang Author-Name: Xiangshou Xiao Author-X-Name-First: Xiangshou Author-X-Name-Last: Xiao Title: Variable substitution integral method and its application for solving displacement curves of framed structures Abstract: Structural displacement curves are very important for framed structures in structural engineering. However, the analytical solutions of the curves cannot be provided by the classical material mechanics method and the conventional structural mechanics one directly. So, a general analytical method, the variable substitution integral method, was proposed mainly based on the unit load method. The basic principle and operation procedure of the method was constructed. Then it was applied to some classical cases in structural analysis. The research results show the correctness and effectiveness of the method, which can figure out displacement curves of kinds of framed structures under various types of internal forces directly and conveniently. It can fully compensate for the shortcomings of the two usual methods. The clear mathematics and mechanics background of the method makes it understood easily. The simplicity and practicality of this method make it be applied in structural engineering extensively in great possibility. Journal: Int. J. of Industrial and Systems Engineering Pages: 346-361 Issue: 3 Volume: 38 Year: 2021 Keywords: structural mechanics; framed structure; displacement calculation; virtual work principle; unit load method; variable substitution integral method. File-URL: http://www.inderscience.com/link.php?id=116236 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:3:p:346-361 Template-Type: ReDIF-Article 1.0 Author-Name: Wei Xiaolu Author-X-Name-First: Wei Author-X-Name-Last: Xiaolu Title: Design of travel route recommendation system based on fast Spark artificial intelligence architecture Abstract: In order to overcome the problems of low accuracy of current system tourism route prediction and poor accuracy of route recommendation, this paper proposes a tourism route recommendation system design based on fast Spark artificial intelligence architecture. In the hardware part, the search process structure of tourist route, web page information classification and extraction module and tourist document classification process structure are designed. For the software part, firstly the problem is defined for the tourist route recommendation, secondly the Markov model is constructed, and finally the tourist route is mined. By ranking the transfer probability of tourist attractions, the tourist route can be obtained, and finally the tourist route recommendation is realised. The experimental results show that the designed system has a prediction accuracy of more than 70% and a recommendation accuracy of more than 80%, with high prediction accuracy and route recommendation accuracy. Journal: Int. J. of Industrial and Systems Engineering Pages: 328-345 Issue: 3 Volume: 38 Year: 2021 Keywords: fast Spark; artificial intelligence architecture; travel route recommendation; system design. File-URL: http://www.inderscience.com/link.php?id=116237 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:3:p:328-345 Template-Type: ReDIF-Article 1.0 Author-Name: Oladunni S. Okunade Author-X-Name-First: Oladunni S. Author-X-Name-Last: Okunade Author-Name: Marian N. Obuseh Author-X-Name-First: Marian N. Author-X-Name-Last: Obuseh Author-Name: Oliver E. Charles-Owaba Author-X-Name-First: Oliver E. Author-X-Name-Last: Charles-Owaba Title: Preventive maintenance scheduling of fleet of aircraft using contiguous-cells transportation model: a case study Abstract: A fresh drive to increase effective aircraft-fleet operating hours has ignited interest in finding new ways to manage aircraft maintenance and flight schedules. Contiguous-cells optimisation, a recently developed approach to assets management, was reported to have yielded logistics advantages. This paper explores the feasibility and consequences of its application to aircraft-fleet alternate flight and preventive maintenance scheduling. A performance measure was formulated in terms of aircraft arrival period, maintenance duration and cost as parameters while completion period and flight-months are variables. A contiguous-cell transportation problem was defined and solved as that of combined flight-loss and maintenance cost minimisation. It was illustrated using a commercial airline with ten-aircraft fleet and two-dock maintenance workshop in Southwestern Nigeria. The cost ₦13,303 × 10<SUP align="right"><SMALL>6</SMALL></SUP>; flight-months 212; and idle-months three; favourably compare with ₦24,234 × 10<SUP align="right"><SMALL>6</SMALL></SUP>, 185, and 30 of the existing schedule, respectively. Thus, the approach appears feasible with the potential of increasing effective aircraft operating hours at a lower cost. Journal: Int. J. of Industrial and Systems Engineering Pages: 247-269 Issue: 2 Volume: 39 Year: 2021 Keywords: fleet of aircraft; maintenance scheduling; opportunity cost; contiguous-cells transportation model. File-URL: http://www.inderscience.com/link.php?id=118287 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:247-269 Template-Type: ReDIF-Article 1.0 Author-Name: Huichuan Liu Author-X-Name-First: Huichuan Author-X-Name-Last: Liu Author-Name: Guowen Li Author-X-Name-First: Guowen Author-X-Name-Last: Li Author-Name: Jingyi Wang Author-X-Name-First: Jingyi Author-X-Name-Last: Wang Title: Research on hybrid energy hierarchical coordination control method for grid-connected micro-grid Abstract: In order to effectively solve the problem that it is difficult to coordinate the operation state of grid-connected micro-grid, a hierarchical coordinated control method of hybrid energy in grid-connected micro-grid is proposed. The mathematical model of the relationship between system power and cost function and the hierarchical model of micro-grid are established. As optimisation objectives are provided by constructing objective functions, the information exchange and energy control between the systems are used to realise the grid connection. Simulation results show that the frequency of the proposed method is always around 50HZ, which is the closest to the planned value. The difference between the power value and the planned value is less than 1 kW, which is more in line with the actual needs than other methods. It is proved that this method can effectively control energy and ensure the smooth operation of micro-grid. Journal: Int. J. of Industrial and Systems Engineering Pages: 362-377 Issue: 3 Volume: 38 Year: 2021 Keywords: grid-connected micro-grid; hybrid energy; hierarchical control; coordinated control. File-URL: http://www.inderscience.com/link.php?id=116243 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:3:p:362-377 Template-Type: ReDIF-Article 1.0 Author-Name: Minglei Song Author-X-Name-First: Minglei Author-X-Name-Last: Song Author-Name: Zhongwei Liu Author-X-Name-First: Zhongwei Author-X-Name-Last: Liu Title: Modelling and analysis on bearing capacity of asphalt pavement in dense traffic flow of urban areas Abstract: Aiming at the problems of low fitting degree and high complexity between the research results and the actual situation, the bearing capacity model of asphalt pavement in dense traffic flow area based on combination forecasting is put forward. Cellular automata is used to calculate the relative position and speed change of vehicles in the popularisation process. According to Orkut model, the relative position and speed change of each vehicle on the road is calculated and analysed. Through calculation and analysis, the vehicle load concentration value is obtained. The experimental results show that the SSE, MAE, MSE and complexity coefficient of the bearing capacity model for asphalt pavement in heavy flow area based on combined prediction are lower than 0.05, lower than 0.15, lower than 0.16 and lower than 0.2, which are the minimum values in the comparison method, indicating that the model has high accuracy, low complexity and good reliability. Journal: Int. J. of Industrial and Systems Engineering Pages: 378-392 Issue: 3 Volume: 38 Year: 2021 Keywords: dense traffic flow area; asphalt pavement; bearing capacity; model construction. File-URL: http://www.inderscience.com/link.php?id=116244 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:3:p:378-392 Template-Type: ReDIF-Article 1.0 Author-Name: Javad Taheri-Tolgari Author-X-Name-First: Javad Author-X-Name-Last: Taheri-Tolgari Author-Name: Abolfazl Mirzazadeh Author-X-Name-First: Abolfazl Author-X-Name-Last: Mirzazadeh Title: Multi-item single-source production quantity model for imperfect items with rework failure, inspection errors, scraps, and backordering Abstract: This paper represents a multi-item single-source (<i>MISS</i>) production quantity model for random imperfect items with repair failure, inspection errors, sales return, scraps, and backordering. In this study, it is assumed that some manufactured/produced goods might not be without fault and the first phase of inspection over the quality of goods might make some inspection errors through the classifying of imperfect/defective and perfect items. Besides, this model contains one or more steps of separation procedure that is after the rework time and there is no screening error in this period (i.e., error-free). The purpose of this investigation is to obtain the optimum cycle length and the optimal backordered quantity for each item to minimalise the total expected value cost. Finally, the numerical example is illustrated to explain and solve the studied model using our investigated innovative methodology, which is additionally clarified and explained over a sensitivity analysis. Journal: Int. J. of Industrial and Systems Engineering Pages: 291-327 Issue: 3 Volume: 38 Year: 2021 Keywords: multi-item single-source; MISS; imperfect item; inspection error; rework failure. File-URL: http://www.inderscience.com/link.php?id=116245 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:3:p:291-327 Template-Type: ReDIF-Article 1.0 Author-Name: Mary C. Kurian Author-X-Name-First: Mary C. Author-X-Name-Last: Kurian Author-Name: P.R. Shalij Author-X-Name-First: P.R. Author-X-Name-Last: Shalij Author-Name: V.R. Pramod Author-X-Name-First: V.R. Author-X-Name-Last: Pramod Author-Name: C.P. Sunilkumar Author-X-Name-First: C.P. Author-X-Name-Last: Sunilkumar Title: Maintenance strategy decision applying analytic network process in industries: a comparative study Abstract: To enhance the availability, reliability and safety of equipment, it is essential for the industries to implement an efficient maintenance program. This research paper illustrates and compares the maintenance strategies of two different types of industries and compares the results. The analytic network process (ANP) method is applied in two industries for maintenance strategy choice which is an innovative and effective method for solving decision problems involving multiple criteria with interdependence relations. In order to explicate the difference between the maintenance strategies adopted by various industries, ANP method is applied in a tyre industry and in a steel industry for strategy selection and the results are compared. Comparison of these results proves that ANP is an effective technique in multiple criteria decision analysis (MCDA) for solving problems having interdependence relations having significant impact (Cheng et al., 2005) and reactive maintenance (RM) is the most preferred alternative for the industry. Journal: Int. J. of Industrial and Systems Engineering Pages: 263-290 Issue: 3 Volume: 38 Year: 2021 Keywords: analytical network process; ANP; multiple criteria decision analysis; MCDA; pair-wise relation matrix; consistency ratio; super matrix; overall weighted score index; OWSI. File-URL: http://www.inderscience.com/link.php?id=116247 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:3:p:263-290 Template-Type: ReDIF-Article 1.0 Author-Name: Mahla Babagolzadeh Author-X-Name-First: Mahla Author-X-Name-Last: Babagolzadeh Author-Name: Mohammadali Pirayesh Author-X-Name-First: Mohammadali Author-X-Name-Last: Pirayesh Author-Name: Anup Shrestha Author-X-Name-First: Anup Author-X-Name-Last: Shrestha Title: Optimal delivery and replenishment policies for perishable products considering lost sale cost: an efficient hybrid algorithm Abstract: In today's competitive global market, improving the quality of customer service and waste reduction are two important factors to maximise the profits of a system. These goals can be achieved throughout well-managed logistical operations such as proper inventory management and timely delivery of perishable items to customers. This paper presents an integrated mathematical model that schedules replenishment of a perishable product to determine delivery routes, truck loads and inventory levels, where the vehicle arrival time has a direct impact on the quantity of the product delivered to customers. Given the NP-hard nature of the problem, finding optimum or near optimum solutions in polynomial time is challenging, therefore a hybrid algorithm based on a linear programming model and a simulated annealing algorithm is developed to solve the problem efficiently. The proposed method achieves a solution near-optimal solution in an efficient computational time. Finally, an analysis is carried out to verify the effectiveness of the algorithm. Journal: Int. J. of Industrial and Systems Engineering Pages: 306-333 Issue: 3 Volume: 37 Year: 2021 Keywords: inventory-routing problem; IRP; lost sale cost; hybrid algorithm; perishable product. File-URL: http://www.inderscience.com/link.php?id=113442 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:3:p:306-333 Template-Type: ReDIF-Article 1.0 Author-Name: Parsa Kianpour Author-X-Name-First: Parsa Author-X-Name-Last: Kianpour Author-Name: Deepak Gupta Author-X-Name-First: Deepak Author-X-Name-Last: Gupta Author-Name: Krishna Krishnan Author-X-Name-First: Krishna Author-X-Name-Last: Krishnan Author-Name: Bhaskaran Gopalakrishnan Author-X-Name-First: Bhaskaran Author-X-Name-Last: Gopalakrishnan Title: Optimising unrelated parallel machine scheduling in job shops with maximum allowable tardiness limit Abstract: Motivated by the practical scheduling problem of job shops, this study evaluates unrelated parallel machine scheduling models. The researchers proposed a new mixed integer linear programming model considering effects of maximum limit on the allowable tardiness. An efficient solution technique was developed in MATLAB to minimise computational time. The model was validated using real-life data from local aircraft industry. It was shown that the proposed model leads to lower cost compared to the current models (i.e., without any limit on tardiness) in the literature. In addition, reduction in computational time enables corporate scheduling staff to use the model efficiently. Journal: Int. J. of Industrial and Systems Engineering Pages: 359-381 Issue: 3 Volume: 37 Year: 2021 Keywords: job shop; scheduling; unrelated parallel machines; tardiness; earliness; inventory cost; penalty cost. File-URL: http://www.inderscience.com/link.php?id=113443 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:3:p:359-381 Template-Type: ReDIF-Article 1.0 Author-Name: Dung Ho Author-X-Name-First: Dung Author-X-Name-Last: Ho Author-Name: Arun Kumar Author-X-Name-First: Arun Author-X-Name-Last: Kumar Author-Name: Nirajan Shiwakoti Author-X-Name-First: Nirajan Author-X-Name-Last: Shiwakoti Title: ERP-based lean systems and their impact on performance: the system dynamics approach for a maturity model Abstract: There are continuing debates on the effects of enterprise resource planning (ERP) and its combination with lean on manufacturing performance. It is suggested to integrate lean production principles into ERP systems; however, research exploring this area in the literature is limited, especially quantitative studies. This study fills the knowledge gap by quantitatively investigating the correlation between ERP-based lean systems and performance outcomes, using a system dynamics approach. We model a manufacturing system, focusing on the effects of ERP and lean inputs on customers' order fulfilment. Different scenarios of ERP systems supporting lean practices are illustrated through a capability maturity model. Actual performance data is collected to validate the developed model. The results show that ERP is a hindrance on lean at the low maturity level. The influence on ERP only occurs with the mediator role of lean. ERP-based lean systems bring substantial benefits to organisations. Therefore, lean practices are a foundation upon which the full benefit of ERP can be received. Journal: Int. J. of Industrial and Systems Engineering Pages: 334-358 Issue: 3 Volume: 37 Year: 2021 Keywords: system dynamics; lean; enterprise resource planning; ERP; maturity model; performance. File-URL: http://www.inderscience.com/link.php?id=113444 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:3:p:334-358 Template-Type: ReDIF-Article 1.0 Author-Name: Jangam Ramesh Author-X-Name-First: Jangam Author-X-Name-Last: Ramesh Author-Name: M. Mohan Ram Author-X-Name-First: M. Mohan Author-X-Name-Last: Ram Author-Name: Y.S. Varadarajan Author-X-Name-First: Y.S. Author-X-Name-Last: Varadarajan Title: Sustainable energy strategies for micro, small, and medium enterprises in India: a review Abstract: Enhancing energy efficiency and conservation will play a significant aspect in the accomplishment of energy requirements in developing economies. To be competitive and sustainable, micro, small, and medium enterprises (MSMEs) have to utilise energy input sources optimally and effectively to enhance overall productivity. Sustainable energy strategies (SES) focus on the economical use of energy sources and examine the parameters that influence energy utilisation in enterprises. This review aims to fill energy gaps and update the literature review in industries through SES, highlight the current research concerning the future scope of sustainability in MSMEs. In this review paper, we explored the sustainable energy strategies (SES), it included the initiation of various practices and policies that decline energy demand through energy efficiency measures, the role of technological capabilities, examine the factors influencing and barriers to energy efficiency that are believed to enhance productivity and sustainability in MSMEs. The motivation for the review paper focused on considering the better strategies that are needed to improved forecasting techniques and assist in the development of sustainability in MSMEs. Journal: Int. J. of Industrial and Systems Engineering Pages: 283-305 Issue: 3 Volume: 37 Year: 2021 Keywords: energy efficiency; energy intensity; sustainability; productivity; MSMEs. File-URL: http://www.inderscience.com/link.php?id=113445 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:3:p:283-305 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Haoues Author-X-Name-First: Mohammed Author-X-Name-Last: Haoues Author-Name: Mohammed Dahane Author-X-Name-First: Mohammed Author-X-Name-Last: Dahane Author-Name: Kinza Nadia Mouss Author-X-Name-First: Kinza Nadia Author-X-Name-Last: Mouss Title: Capacity planning with outsourcing opportunities under reliability and maintenance constraints Abstract: This paper investigates capacity planning with outsourcing under reliability-maintenance constraints. The considered supply-chain consists of a single-manufacturer and multiple-subcontractors. The manufacturer's company is composed of a single unit subject to random failures. Corrective maintenance is endorsed when failures occur, and preventive maintenance can be carried out to reduce the degradation. The high in-house costs and the incapacity motivate the manufacturer outsourcing to independent subcontractors. In addition, based on the principle of comparative advantage, the manufacturer balances between in-house capacities and outsourcing services, which minimises the total cost. The aim is to propose a new policy based on the combination between integrated-maintenance and outsourcing policies. A mathematical model and an optimisation procedure have been developed in order to determine the best in-house production-maintenance and outsourcing plans for the manufacturer while minimising the total cost. In order to show the applicability of our approach, we conduct experimentations to study the management insights. Journal: Int. J. of Industrial and Systems Engineering Pages: 382-409 Issue: 3 Volume: 37 Year: 2021 Keywords: capacity planning; in-house capacity; integrated maintenance; outsourcing; genetic algorithms. File-URL: http://www.inderscience.com/link.php?id=113470 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:3:p:382-409 Template-Type: ReDIF-Article 1.0 Author-Name: Wen-liang Ma Author-X-Name-First: Wen-liang Author-X-Name-Last: Ma Author-Name: Qiu-gui Yang Author-X-Name-First: Qiu-gui Author-X-Name-Last: Yang Author-Name: Guang-yao Zhang Author-X-Name-First: Guang-yao Author-X-Name-Last: Zhang Title: Blast testing and numerical simulation analysis of diversion tunnel upper section for Qianping reservoir Abstract: This paper expounds the basic theory of rock mass blasting technology, the rock blasting excavation of Qianping reservoir project was taken as an example, by means of numerical simulation and experimental research, the finite element model for rock blasting excavation in Qianping reservoir is established. The rock blast on the upper section of the diversion tunnel for Qianping reservoir is simulated by using the dynamic analysis module LS-DYNA in the finite element method analysis software ANSYS, through the comparative analysis of blast testing and numerical simulation results. The results show that, the dynamic analysis results are in good agreement with the field test, the correctness and validity of the finite element model are proved, finite element dynamic analysis model is a general calculation model, rock mechanics parameters in the model can be adjusted in the calculation process, it can be used to simulate the blasting excavation process of different rock properties. Journal: Int. J. of Industrial and Systems Engineering Pages: 70-83 Issue: 1 Volume: 37 Year: 2021 Keywords: diversion tunnel; blast testing; numerical simulation; LS-DYNA; parameters of hole arrangement; data of explosive filled. File-URL: http://www.inderscience.com/link.php?id=112465 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:1:p:70-83 Template-Type: ReDIF-Article 1.0 Author-Name: Supriya Ingole Author-X-Name-First: Supriya Author-X-Name-Last: Ingole Author-Name: Dinesh Singh Author-X-Name-First: Dinesh Author-X-Name-Last: Singh Title: Fixed and flexible shape facility layout problems using biogeography-based optimisation algorithm Abstract: For any manufacturing and production industry to be efficient in terms of revenue, the layout of the industry must be arranged to minimise the total material handling and transporting cost of that industry. All the facilities, machines, storage, etc. are allocated in the layout in an optimum manner. While designing a layout, the planner has to allocate equal or unequal shape facilities on the available layout space to minimise the distance between the facilities which are having maximum material flow. The problem concerned with assigning facilities to the floor is mentioned as facility layout problem (FLP). This paper focuses on unequal area FLPs with fixed shape and flexible shape facilities. Biogeography-based optimisation (BBO) algorithm is one of the metaheuristic methods emerged in recent times to cope with various optimisation problems. Therefore, BBO is considered to solve unequal are FLPs. The results obtained using BBO algorithm are compared and found better than previous known results. Journal: Int. J. of Industrial and Systems Engineering Pages: 84-118 Issue: 1 Volume: 37 Year: 2021 Keywords: unequal area facility layout; fixed-shape facilities; flexible-shape facilities; biogeography-based optimisation algorithm. File-URL: http://www.inderscience.com/link.php?id=112469 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:1:p:84-118 Template-Type: ReDIF-Article 1.0 Author-Name: Shyamal Samant Author-X-Name-First: Shyamal Author-X-Name-Last: Samant Author-Name: Ravi Prakash Author-X-Name-First: Ravi Author-X-Name-Last: Prakash Title: Achieving lean through value stream mapping with constraint programming and simulation technique for complex production systems Abstract: Lean manufacturing helps companies achieve improved productivity, quality, reduced lead time and cost reduction. This leads to the competitiveness of manufacturing systems. To achieve lean many tools are available. Value stream mapping (VSM) occupies an important place among the available tools. However, VSM as a tool suffers from many shortcomings. It can only give a static snapshot of the situation. It cannot be easily applied to achieve lean in complex production stream, e.g., manufacture of complete product, assembly operations involving multi-product, multi-level bill of materials (BOM) scenarios. This paper proposes an innovative framework to achieve lean. The proposed approach integrates CPLEX optimisation, Arena simulation and lean box score method for achieving lean in complex production streams. A case of pump manufacturer is discussed to demonstrate the proposed framework. Journal: Int. J. of Industrial and Systems Engineering Pages: 119-148 Issue: 1 Volume: 37 Year: 2021 Keywords: value stream mapping; VSM; lean manufacturing; constraint programming; simulation; lean management. File-URL: http://www.inderscience.com/link.php?id=112470 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:1:p:119-148 Template-Type: ReDIF-Article 1.0 Author-Name: Tanveer Hossain Bhuiyan Author-X-Name-First: Tanveer Hossain Author-X-Name-Last: Bhuiyan Author-Name: Sarah Harun Author-X-Name-First: Sarah Author-X-Name-Last: Harun Author-Name: Abdullahil Azeem Author-X-Name-First: Abdullahil Author-X-Name-Last: Azeem Title: Development of an optimisation model for unequal-area facility layout problems Abstract: Optimisation of unequal-area facility layout problems (UA-FLPs) aims to find the optimal arrangement of a given number of non-overlapping departments having unequal area requirements within the facility premises. This paper studies a multi-objective UA-FLP that considers minimising the material transportation cost, maximising the closeness rating score and minimising makespan of the overall facility in developing the layout. We develop a mixed-integer nonlinear programming (MINLP) facility layout model and optimise using a reformulation-based spatial branch-and-bound algorithm. Constraints are developed to ensure non-overlapping of the departments, bounding the departments within the facility, nonlinear expression of required area, and aspect ratio. We reformulate the non-smooth functions of the original model by the smooth ones. The solution of our model provides optimal arrangements as well optimal dimensions of the departments within the facility. Additionally, our model provides a set of Pareto-optimal layouts that enable decision makers in selecting a layout depending on different real-world scenarios. Journal: Int. J. of Industrial and Systems Engineering Pages: 27-45 Issue: 1 Volume: 37 Year: 2021 Keywords: unequal-area facility layout; mixed-integer nonlinear programming; MINLP; smooth functions; spatial branch-and-bound; exact algorithm. File-URL: http://www.inderscience.com/link.php?id=112471 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:1:p:27-45 Template-Type: ReDIF-Article 1.0 Author-Name: Iñigo L. Ansorena Author-X-Name-First: Iñigo L. Author-X-Name-Last: Ansorena Author-Name: Vicente Negro Valdecantos Author-X-Name-First: Vicente Negro Author-X-Name-Last: Valdecantos Title: A simulation model of container terminals. The Port of Valencia case study Abstract: The arrival and service process of vessels at container terminals is always a main concern for port managers. We present a simulation model, which aims to shed light on this problem. On one hand, the model inputs describe the number of berths, as well as the ship arrivals and the services through its respective distributions. On the other hand, the outputs of the simulation model include: waiting times, queue lengths, berth utilisation and efficiency ratio. An empirical case study is used to explore the effectiveness of the proposed approach. The case study is based on real data collected at two container terminals. Both are located at the Port of Valencia (Spain), one is the Noatum public terminal, and the other is the MSC dedicated terminal. The simulation model is effective in replicating realistic scenarios and gives crucial information to improve port operations. Journal: Int. J. of Industrial and Systems Engineering Pages: 15-26 Issue: 1 Volume: 37 Year: 2021 Keywords: queuing systems; arrivals; simulation; utilisation; waiting time; efficiency; port operations; service management; performance analysis. File-URL: http://www.inderscience.com/link.php?id=112473 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:1:p:15-26 Template-Type: ReDIF-Article 1.0 Author-Name: Danaish Author-X-Name-First: Author-X-Name-Last: Danaish Author-Name: Ren Zong-Jin Author-X-Name-First: Ren Author-X-Name-Last: Zong-Jin Author-Name: Shehdev Akhani Author-X-Name-First: Shehdev Author-X-Name-Last: Akhani Author-Name: Muhammad Ayaz Akbar Author-X-Name-First: Muhammad Ayaz Author-X-Name-Last: Akbar Title: Implementation of OEEML in beverage bottling production line: a case study of Pakistan beverage industry Abstract: An effective measurement tool and strategic plan is beneficent for the organisations to face the outsiders' competitors and to achieve the required demands of the global market. This research is based on a survey of five weeks study of beverage bottling industry. The key metric OEE is usually used to measure the performance of individual machine. However, OEE is not sufficient to enhance the performance of manufacturing line as a whole. To overcome this, a performance measurement metric namely, overall equipment effectiveness of manufacturing line (OEEML) implemented for measuring the actual performance of the beverage bottling production line (BBPL). The final results of the BBPL improved with a high percentage 14% of OEEML increased which results to increase the output productivity of the beverage bottling production line and reduction in per unit cost. In the end OEEML is implemented as a strategy, i.e., a concept it works best for continuous improvements for the overall BBPL. Journal: Int. J. of Industrial and Systems Engineering Pages: 46-69 Issue: 1 Volume: 37 Year: 2021 Keywords: beverage bottling production line; BBPL; overall equipment effectiveness of production line; OEEML; performance measurement; loss structure; productivity improvement. File-URL: http://www.inderscience.com/link.php?id=112482 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:1:p:46-69 Template-Type: ReDIF-Article 1.0 Author-Name: Wei Xiang Author-X-Name-First: Wei Author-X-Name-Last: Xiang Author-Name: Mingliang Wu Author-X-Name-First: Mingliang Author-X-Name-Last: Wu Author-Name: Jiangnan Lyu Author-X-Name-First: Jiangnan Author-X-Name-Last: Lyu Author-Name: Lan Ma Author-X-Name-First: Lan Author-X-Name-Last: Ma Author-Name: Jiajie Liu Author-X-Name-First: Jiajie Author-X-Name-Last: Liu Author-Name: Wei Zhou Author-X-Name-First: Wei Author-X-Name-Last: Zhou Title: Optimal design and experiment of multi-row rolling-style planting-hole punch for rapeseed plant seedlings Abstract: In order to realise high-efficiency hole-forming and pursue optimal forming hole parameters which satisfied agricultural requirements for awl-shaped punch transplanter, a optimally designed indigenously-developed pure rolling planting hole-forming machine's hole forming mechanism parts is proposed. The CAD software graphing method was used to study the effect of forming planting hole by structural parameters, with the numerical simulation method by MATLAB 7.0 software and CATIA software were used to verify the rationality of the hole-forming key parameters optimisation design. Subsequently, prototype trial-production was carried out, followed by field testing. The results showed that forming planting hole opening lengthwise shrank from originally 88.8 mm to 72.6 mm, lateral width was 41.2 mm, the effective depth reduced from 58.9 mm to 48.5 mm, qualified radio of forming planting hole reached to 95.1%, which 1.93% higher than the original prototype, which was significant for the provision of technical support for the design of new transplanter. Journal: Int. J. of Industrial and Systems Engineering Pages: 143-166 Issue: 2 Volume: 38 Year: 2021 Keywords: rapeseed transplanting; planting hole; key components; hole forming mechanism; parameter optimisation. File-URL: http://www.inderscience.com/link.php?id=115314 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:2:p:143-166 Template-Type: ReDIF-Article 1.0 Author-Name: Rafael Henao Author-X-Name-First: Rafael Author-X-Name-Last: Henao Author-Name: William Sarache Author-X-Name-First: William Author-X-Name-Last: Sarache Author-Name: Ivan Gomez Author-X-Name-First: Ivan Author-X-Name-Last: Gomez Title: A social performance metrics framework for sustainable manufacturing Abstract: Manufacturing companies are under constant pressure from stakeholders to achieve higher sustainability levels, especially in terms of environmental and social aspects. Although social performance is not a new topic in operations management, it is the least explored pillar of the triple bottom-line approach. Metrics for the assessment of social performance levels remain scarce, which limits those companies that are willing to involve them in decision-making processes. This situation can be attributed to the difficulty of finding sufficiently comparable, widespread, and quantifiable social metrics. Therefore, the present study aims to provide a broader perspective of social performance, including both internal and external metrics. With the goal of providing a more holistic performance assessment, and based on findings present in the current literature, a social performance metrics framework is proposed. The framework proposes a three-layer approach, which allows companies to strengthen their social performance evaluation, based on internal metrics, while dealing with more complex external metrics. Journal: Int. J. of Industrial and Systems Engineering Pages: 167-197 Issue: 2 Volume: 38 Year: 2021 Keywords: social metrics; performance; sustainability; manufacturing social metrics; manufacturing. File-URL: http://www.inderscience.com/link.php?id=115316 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:2:p:167-197 Template-Type: ReDIF-Article 1.0 Author-Name: Subhash Malik Author-X-Name-First: Subhash Author-X-Name-Last: Malik Author-Name: Puran Chand Tewari Author-X-Name-First: Puran Chand Author-X-Name-Last: Tewari Title: Performability modelling and decision-making regarding maintenance priorities for power generation system of a typical thermal power plant Abstract: The aim of existing paper is to develop performability model and to decide about maintenance priorities for power generation system (PGS) of a typical thermal power plant. PGS comprises of five subsystems, i.e., turbine blades, condenser evacuation and regenerative (CER), turbine governing (TG), turbine lubrication (TL) and generator cooling and seal oil (GCSO). The first order differential equations are derived with the help of transition diagram. After that, these differential equations are further solved recursively and performability model obtained by using normalising condition on the basis of Markov birth-death process. The performability of various subsystems is considered by the various combinations of repair and failure rates. Repair rates are required to decide about criticality of subsystems and propose maintenance priorities. CER is the most critical subsystem with performability level, i.e., 94.97% and require more consideration to improve the performance of this subsystem. Performability enhancement and reduction in maintenance cost can also be achieved by the application of both performability model and decision making regarding maintenance priorities in the concerned plant. Journal: Int. J. of Industrial and Systems Engineering Pages: 1-14 Issue: 1 Volume: 37 Year: 2021 Keywords: availability; maintenance priorities; Markov birth-death process; performability model; power generation system; PGS; thermal power plant. File-URL: http://www.inderscience.com/link.php?id=112502 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:1:p:1-14 Template-Type: ReDIF-Article 1.0 Author-Name: G. Ayyappan Author-X-Name-First: G. Author-X-Name-Last: Ayyappan Author-Name: M. Nirmala Author-X-Name-First: M. Author-X-Name-Last: Nirmala Title: Analysis of customer's impatience on bulk service queueing system with unreliable server, setup time and two types of multiple vacations Abstract: In this investigation, we analyse the customer's impatience on unreliable bulk queueing system with two types of vacation. Depending upon the length of queue, the server is permitted to take two types of vacation called type I vacation and type II vacation. The server is possibly affected by breakdowns and takes considerable time for setup before the repair begins to start. After repair completion, the server will start its remaining service to the batch of customers whose service was interrupted. It could be assumed that the arriving units may be balked from the system when the server is on vacation (type I or type II). By incorporating the supplementary variables technique, the probability generating function of the queue size at an arbitrary and departure time epoch for the designed queueing system are derived. Finally, the stability condition, some performance measures, particular cases are obtained with appropriate numerical illustrations and graphical presentation. Journal: Int. J. of Industrial and Systems Engineering Pages: 198-222 Issue: 2 Volume: 38 Year: 2021 Keywords: general bulk service; unreliable server; two types of multiple vacations; setup time and repair. File-URL: http://www.inderscience.com/link.php?id=115321 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:2:p:198-222 Template-Type: ReDIF-Article 1.0 Author-Name: Zhengkun Dai Author-X-Name-First: Zhengkun Author-X-Name-Last: Dai Author-Name: Lu Yao Author-X-Name-First: Lu Author-X-Name-Last: Yao Author-Name: Jiandong Qin Author-X-Name-First: Jiandong Author-X-Name-Last: Qin Title: Research on estimation of equipment maintenance duration based on AHP-FIE risk analysis Abstract: Equipment maintenance duration is an important indicator of equipment maintenance management, and it is a key factor to measure the success or failure of a maintenance project. In view of inaccurate estimation and frequent changes in schedule, this paper considers the characteristics of many uncertain factors and studies the duration estimation of equipment maintenance from the perspective of risk analysis. Based on the new method (AHP-FIE risk analysis) with analysing the characteristics of practical case and optimising the estimated duration value, the goal of reasonably shortening duration can be achieved. The analysis results provide theoretical and practical reference for equipment maintenance duration optimisation management. Journal: Int. J. of Industrial and Systems Engineering Pages: 223-238 Issue: 2 Volume: 38 Year: 2021 Keywords: equipment maintenance; duration estimation; risk analysis; AHP-FIE. File-URL: http://www.inderscience.com/link.php?id=115322 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:2:p:223-238 Template-Type: ReDIF-Article 1.0 Author-Name: Yongzhong Wu Author-X-Name-First: Yongzhong Author-X-Name-Last: Wu Author-Name: Qiran Wang Author-X-Name-First: Qiran Author-X-Name-Last: Wang Author-Name: Yongwu Zhou Author-X-Name-First: Yongwu Author-X-Name-Last: Zhou Author-Name: Mianmian Huang Author-X-Name-First: Mianmian Author-X-Name-Last: Huang Title: Strategic decisions on the establishment of an offshore warehouse for manufacturers with an e-commerce channel Abstract: While Chinese manufacturers increasingly use cross-border e-commerce platforms to sell products to overseas customers, international express delivery is commonly used to meet the requirement of short order-to-delivery time for the online end customers. In order to reduce the logistics cost while meeting the service level, many manufacturers are considering renting or constructing an offshore warehouse. Goods are shipped in bulk to the offshore warehouse in advance and the daily customer orders are fulfilled by the warehouse inventory. Strategic decisions arise regarding the need for as well as the location and capacity of an offshore warehouse. This paper establishes a dedicate discrete-event simulation model to analyse these strategic decisions with considerations of key variables in different scenarios, including the order arrival rate, inventory cost and warehouse costs. The optimal inventory policy of the offshore warehouse is obtained via a metaheuristic method embedded in the simulation model. Experiments and sensitivity analysis are conducted to evaluate the impact of the key variables on the strategic decisions. The established model provides a systematic method for the decision-making regarding the optimal design of offshore warehouses for the fast-growing cross-border e-commerce industry. Journal: Int. J. of Industrial and Systems Engineering Pages: 239-262 Issue: 2 Volume: 38 Year: 2021 Keywords: e-commerce; discrete-event simulation; order-to-delivery time; offshore warehouse. File-URL: http://www.inderscience.com/link.php?id=115323 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:2:p:239-262 Template-Type: ReDIF-Article 1.0 Author-Name: Mangesh Joshi Author-X-Name-First: Mangesh Author-X-Name-Last: Joshi Author-Name: Himanshu Shukla Author-X-Name-First: Himanshu Author-X-Name-Last: Shukla Title: Design and development of reactive material ordering system using e-kanban and Taguchi's technique for a warehouse of tractor assembly plant Abstract: In the last decade, information technology has proliferated in all sectors and it has become essential tool to survive in the 21st century for all industries. In this endeavour the efforts taken by authors to propose a virtual kanban system with the help of e-kanban database to react to the seasonal variations in demand. To react in stochastic conditions in JIT system, is a challenge and hence a reactive ordering system is developed to operate the e-kanban system. The reactive ordering system consists of a simulation and Taguchi technique module to analyse the various parameters governing kanban system which can be changed to react to the variation in demand, in the database of e-kanban. Virtual e-kanban system can be established just by changing the parameters in database, governing the operation of kanban without physically changing the number of kanban cards on shop floor. Journal: Int. J. of Industrial and Systems Engineering Pages: 463-476 Issue: 4 Volume: 37 Year: 2021 Keywords: simulation and modelling; reactive ordering; Taguchi's technique; kanban; materials management; ordering. File-URL: http://www.inderscience.com/link.php?id=114045 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:4:p:463-476 Template-Type: ReDIF-Article 1.0 Author-Name: Pablo Biswas Author-X-Name-First: Pablo Author-X-Name-Last: Biswas Author-Name: Scott R. Schultz Author-X-Name-First: Scott R. Author-X-Name-Last: Schultz Title: An EPQ model for an imperfect production system with rework, scrap and backorder Abstract: This paper deals with an imperfect two-stage manufacturing process that orders raw materials from a supplier and produces finished goods with defective items that can be reworked. The generation of scrap during the initial production stage, during inspection, and during the rework stage is also considered. To fulfil customer demand a permissible backorder is also considered. First, an inventory model is developed for this two-stage production process with instantaneous raw material order, in-cycle rework, and scrap. Then, a total cost function is developed to simultaneously find the optimal economic production quantity, optimal backorder quantity, and optimal order quantity. The cost function of the proposed inventory model is verified and validated using numerical examples and sensitivity analysis. Journal: Int. J. of Industrial and Systems Engineering Pages: 411-431 Issue: 4 Volume: 37 Year: 2021 Keywords: imperfect production; inventory model; defective items; rework; scrap; backorder. File-URL: http://www.inderscience.com/link.php?id=114048 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:4:p:411-431 Template-Type: ReDIF-Article 1.0 Author-Name: Sahbi Abderrahim Author-X-Name-First: Sahbi Author-X-Name-Last: Abderrahim Author-Name: Moez Allouche Author-X-Name-First: Moez Author-X-Name-Last: Allouche Author-Name: Mohamed Chaabane Author-X-Name-First: Mohamed Author-X-Name-Last: Chaabane Title: Power optimisation of wind energy conversion system using T-S fuzzy approach Abstract: This paper presents a maximum power point tracking control for a wind energy conversion system (WECS) using a squirrel cage induction generator (SCIG) which supplies a DC load through AC/DC converter. The goal of the developed fuzzy control law is to track the reference signals corresponding to the maximum power generation that leads to an optimal operation of the induction generator. First, the dynamics behaviour of the WECS is represented by a Takagi-Sugeno (T-S) fuzzy model. Then, a <i>H</i><SUB align="right"><SMALL>&infin;</SMALL></SUB> observer-based fuzzy controller is proposed to achieve a maximum power point tracking even when we consider a varying wind speed profile. The controller and observer gains are calculated by solving linear matrix inequalities (LMIs). Finally, simulation results are presented to illustrate the effectiveness of the proposed approach. Journal: Int. J. of Industrial and Systems Engineering Pages: 35-58 Issue: 1 Volume: 38 Year: 2021 Keywords: wind energy conversion system; fuzzy observer; AC/DC converter; Takagi-Sugeno model; linear matrix inequality; LMI. File-URL: http://www.inderscience.com/link.php?id=115073 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:1:p:35-58 Template-Type: ReDIF-Article 1.0 Author-Name: Wen-Liang Ma Author-X-Name-First: Wen-Liang Author-X-Name-Last: Ma Author-Name: Rui Yuan Author-X-Name-First: Rui Author-X-Name-Last: Yuan Title: Optimum design and analysis of U-shape thin-wall aqueduct based on genetic algorithm Abstract: In order to save project investment and reduce project quantity, the optimal design of aqueduct is the main problem in the project therefore, carrying out the optimal design and simulation analysis of U-shaped thin-walled aqueduct has important engineering application value. The paper takes Sha River aqueduct as the research object and adopts the direct search and point checking method of mixed discrete variable optimisation design. It also adopts the structural optimisation design method based on genetic algorithm and gives the optimal design scheme of U-shaped aqueduct. The optimisation design method has the advantages of fast convergence speed, high convergence efficiency and strong global search ability. The results show that, U-shape aqueduct structure is smooth, it has good mechanical properties, and the structural stress is small and can meet the strength requirement. The maximum vertical displacement of the aqueduct occurs in the middle of the span, the vertical displacement value is small, which can meet the requirement of stiffness. Journal: Int. J. of Industrial and Systems Engineering Pages: 1-18 Issue: 1 Volume: 38 Year: 2021 Keywords: aqueduct; optimisation design; discrete variable; finite element method; stress analysis; vertical displacement. File-URL: http://www.inderscience.com/link.php?id=115074 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:1:p:1-18 Template-Type: ReDIF-Article 1.0 Author-Name: Mohsen Aghajani Author-X-Name-First: Mohsen Author-X-Name-Last: Aghajani Author-Name: Parviz Fattahi Author-X-Name-First: Parviz Author-X-Name-Last: Fattahi Author-Name: Vahid Hajipour Author-X-Name-First: Vahid Author-X-Name-Last: Hajipour Title: Bi-objective reliable multi-product location-inventory problem design with perishable products and freshness-dependent demands Abstract: This paper tackles a bi-objective location-inventory problem (LIP) in a three-echelon multi-product supply chain with perishable products. Demands from customers are stochastic and freshness-dependent. Moreover, reliability issues are considered in terms of three different levels of failures for the distribution centres, namely disastrous, serious and partial. We also assess how well the customers' demands are met with products that are fresh enough and regard this as a reliability indicator from the viewpoint of customers. The problem is formulated as a mixed integer nonlinear programming (MINLP) model and six multi-objective decision-making (MODM) methods namely individual optimisation method, goal programming method, LP metrics/global criteria method, utility function method, goal attainment method, and maxi-min method are applied to solve test problems of different sizes. Finally, to select the best method, we used the filtering/displaced ideal solution (DIS) method where the goal programming method turned out to outperform other methods. Goal programming was then applied for sensitivity analysis of the problem. Journal: Int. J. of Industrial and Systems Engineering Pages: 107-132 Issue: 1 Volume: 38 Year: 2021 Keywords: location-inventory; reliability; freshness dependent demand; perishable products. File-URL: http://www.inderscience.com/link.php?id=115075 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:1:p:107-132 Template-Type: ReDIF-Article 1.0 Author-Name: Masoumeh Danesh Shakib Author-X-Name-First: Masoumeh Danesh Author-X-Name-Last: Shakib Title: Representing a dynamic model of employees education in the path of industrial clusters development Abstract: Nowadays, in most countries, small and medium sized enterprises (SMEs) play the role from the various aspects like economic, social, manufacturing and offering service. Therefore, the development of this sector has been considered in most developed and developing countries. On the other hand, the access to the local labour market can facilitate the development of this sector. This paper concentrates on the education of workforce in order to facilitate the development of industrial clusters and as a result the development of the country. The results show that if the intended policies apply, the cluster grow faster. Journal: Int. J. of Industrial and Systems Engineering Pages: 133-142 Issue: 1 Volume: 38 Year: 2021 Keywords: small and medium sized enterprises; SMEs; system dynamics; SD; industrial cluster; training; labour. File-URL: http://www.inderscience.com/link.php?id=115076 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:1:p:133-142 Template-Type: ReDIF-Article 1.0 Author-Name: Mohsen Shafiei Nikabadi Author-X-Name-First: Mohsen Shafiei Author-X-Name-Last: Nikabadi Author-Name: Hanieh Shambayati Author-X-Name-First: Hanieh Author-X-Name-Last: Shambayati Author-Name: Nasim Ataei Author-X-Name-First: Nasim Author-X-Name-Last: Ataei Title: Selection of resilient supply portfolio under disruption risks in supply chain Abstract: Nowadays, dependence of supply chain members while has provided many benefits for organisations, increases uncertainty and risk in the planning and organising activities. The risk of disrupting or failing to communicate with the supplier due to various disasters has occurred in recent years. In this regard, this study introduces a model of mixed integer programming (MIP), to provide resiliency under the terms of a portfolio's risk by minimising the disturbance conditional value at risk is optimised. A model with two meta-heuristic algorithm and using real data is solved and compared. The results showed that the two algorithms do not differ significantly in the value of the objective function. Also the resolution time for the harmony search algorithm was 8.87 seconds and the imperialist competition algorithm was 8.28 seconds. Based on the results in general, the performance of the imperialist competition algorithm, although slightly less, is better than a harmony search algorithm. Journal: Int. J. of Industrial and Systems Engineering Pages: 432-462 Issue: 4 Volume: 37 Year: 2021 Keywords: conditional value at risk; disruption risk; imperialist competitive algorithm; harmony search algorithm; supply chain; supply portfolio; supplier selection; resilience. File-URL: http://www.inderscience.com/link.php?id=114053 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:4:p:432-462 Template-Type: ReDIF-Article 1.0 Author-Name: Junxiang Li Author-X-Name-First: Junxiang Author-X-Name-Last: Li Author-Name: Bo Liu Author-X-Name-First: Bo Author-X-Name-Last: Liu Author-Name: Quan Sun Author-X-Name-First: Quan Author-X-Name-Last: Sun Author-Name: Kamran Sarmadi Author-X-Name-First: Kamran Author-X-Name-Last: Sarmadi Author-Name: Yan Gao Author-X-Name-First: Yan Author-X-Name-Last: Gao Author-Name: Yazheng Dang Author-X-Name-First: Yazheng Author-X-Name-Last: Dang Author-Name: Jingxin Dong Author-X-Name-First: Jingxin Author-X-Name-Last: Dong Title: Load shifting of a supplier-based demand response of multi-class subscribers in smart grid Abstract: This paper presents a load shifting mechanism to address the problem of the overloaded electricity consumption requirement of different classes of electricity users, namely, the residential, commercial and industrial users, provided by a supplier in a smart grid. A real-time pricing model based the utility of each user group and the supply cost is given and an alternating direction method of multipliers is used to solve the model for obtaining the optimal real-time electricity price and consumption of each user group. A demand response (DR) algorithm-based different user groups, gives a priority load shifting rule to allocate the surplus optimal or reserved electricity consumption requirements of some user groups to other suppliers to keep the requirements within the capacity of the supplier. Numerical experiment is conducted to analyse the performance of the DR algorithm, which shows that the consumption requirement load shifting mechanism is reasonable and feasible. Journal: Int. J. of Industrial and Systems Engineering Pages: 506-526 Issue: 4 Volume: 37 Year: 2021 Keywords: demand response; multi-class subscribers; alternating direction method of multipliers; ADMM; load shifting; smart grid. File-URL: http://www.inderscience.com/link.php?id=114054 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:4:p:506-526 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 ecosystem collaboration: fleet life cycle data-based cost-benefit model Abstract: A fleet of assets and fleet data are often distributed globally and into several companies. It is important to demonstrate the value that can be achieved by systematically utilising fleet data as a support of decision-making. There is huge potential to benefit from fleet data due to increasingly gathered data, internet of things technologies, and data analysis tools. In this paper, a model is proposed to illustrate the ecosystem around a fleet and how to evaluate the costs and benefits of fleet data utilisation in an ecosystem. An example ecosystem is proposed, formed by an equipment manufacturer, its customer company, and an information service provider. The model demonstrates the costs and benefits for each actor in the ecosystem and works as a managerial tool to develop collaboration, fleet data utilisation, service development, and value creation from the data. The model is tested with illustrative data in a maintenance context. The results deepen the scientific discussion on the value of information and emphasise the importance of understanding how value can be created from fleet life-cycle data. The challenge lies in determining whose value should be maximised and how the ecosystem could develop collaboration in data utilisation to create value. Journal: Int. J. of Industrial and Systems Engineering Pages: 59-83 Issue: 1 Volume: 38 Year: 2021 Keywords: fleet; asset management; data utilisation; benefits; costs; ecosystem; collaboration; value creation. File-URL: http://www.inderscience.com/link.php?id=115080 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:1:p:59-83 Template-Type: ReDIF-Article 1.0 Author-Name: Xing-gang Zhang Author-X-Name-First: Xing-gang Author-X-Name-Last: Zhang Title: Study on design of interior lighting system for office buildings with large windows Abstract: The interior lighting system of office building has the problems of high energy consumption and low stability. An interior lighting system based on PLC was designed. The upper computer is connected with the environmental light collection circuit unit and other components, and the dual control mode is used for intelligent control of office lighting to complete the overall structure of the system. The hardware of the system focuses on the design of indoor environment light acquisition unit, human body signal acquisition unit, etc., the software repeatedly calls subprograms through the main program to complete the control of the whole system operation. The experimental results show that the average energy consumption of the system is 50 J, the average reaction time is 0.2 s, and the maximum operation stability coefficient is 0.99. The system reduces the energy consumption and reaction time of lighting operation, and improves the stability of system operation. Journal: Int. J. of Industrial and Systems Engineering Pages: 299-312 Issue: 3 Volume: 39 Year: 2021 Keywords: large windows; office buildings; interior lighting systems; design. File-URL: http://www.inderscience.com/link.php?id=119695 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:299-312 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaozhen Shi Author-X-Name-First: Xiaozhen Author-X-Name-Last: Shi Author-Name: Lei Hou Author-X-Name-First: Lei Author-X-Name-Last: Hou Author-Name: Dunn Wang Author-X-Name-First: Dunn Author-X-Name-Last: Wang Title: Research on collaborative distance English teaching system based on mobile cloud computing Abstract: Aiming at the problems of low success rate and poor robustness of traditional distance English teaching system, this paper proposes a new collaborative distance English teaching system based on mobile cloud computing. The hardware of the system adopts USB-to-JTAG device to download files and adopts reverse principle to upload English teaching resources. The four-wire signal is purified and denoised by phase-locked loop. When the system fails, reset circuit is used to deal with it in time. The system software adopts the structure of the Yangtze River basin, establishes the virtual teaching place and video voice teaching method, and realises the remote synchronous teaching. The experimental results show that the success rate and robustness of distance cooperative English teaching system based on mobile cloud computing are 98.2% and 94.5%, which are significantly higher than traditional methods. This method has good reliability and is more suitable for English teaching system. Journal: Int. J. of Industrial and Systems Engineering Pages: 313-329 Issue: 3 Volume: 39 Year: 2021 Keywords: mobile cloud computing; collaboration; distance learning; English teaching. File-URL: http://www.inderscience.com/link.php?id=119696 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:313-329 Template-Type: ReDIF-Article 1.0 Author-Name: Tarit Rattanamanee Author-X-Name-First: Tarit Author-X-Name-Last: Rattanamanee Author-Name: Suebsak Nanthavanij Author-X-Name-First: Suebsak Author-X-Name-Last: Nanthavanij Author-Name: Aussadavut Dumrongsiri Author-X-Name-First: Aussadavut Author-X-Name-Last: Dumrongsiri Title: Solution approaches for multi-workday vehicle routing problem with manual unloading Abstract: The daily delivery routes and carried loads of vehicles are determined for a multi-workday planning period. Upon arrival at customer locations, workers, who are pre-assigned to vehicles, must perform manual unloading of goods. The multi-workday vehicle routing problem (MW-VRP) with manual unloading is solved using three solution approaches, namely, minimum-distance fixed-route, minimum-distance varying-route and workload-balanced varying-route. The total travel distances of vehicles and average percent residual energies among workers are determined and compared among the three approaches. The results show that the MW-VRP which considers the physical workloads that workers have to endure each workday throughout the planning period can help to distribute daily manual handling tasks more evenly among workers. Journal: Int. J. of Industrial and Systems Engineering Pages: 340-360 Issue: 3 Volume: 39 Year: 2021 Keywords: vehicle routing problem; VRP; multi-workday planning; physical workload balancing; worker-vehicle pre-assignment. File-URL: http://www.inderscience.com/link.php?id=119697 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:340-360 Template-Type: ReDIF-Article 1.0 Author-Name: Lilin Wang Author-X-Name-First: Lilin Author-X-Name-Last: Wang Title: Vulnerability evaluation of high-rise earthquake-proof buildings in high-pressure area Abstract: In order to solve this problem, the vulnerability evaluation method of high-rise seismic buildings in high-pressure area based on fuzzy comprehensive evaluation is proposed. According to the knowledge of earthquake engineering, the relationship between magnitude and intensity and the law of intensity attenuation are analysed. Based on the seismic risk and the vulnerability of the isolation layer of the building structure, the failure evaluation criteria are established. The evaluation indexes of structural vulnerability are selected, and the weight coefficients of each index are determined by using tomographic method, and the corresponding matrix is obtained. The fuzzy comprehensive evaluation method is used to evaluate each index. According to the fuzzy relation matrix and index weight coefficient matrix of evaluation index and vulnerability level, the vulnerability of building structure is calculated and evaluated. Experimental results show that the evaluation performance of this method is better than that of the experimental comparison method. Journal: Int. J. of Industrial and Systems Engineering Pages: 361-376 Issue: 3 Volume: 39 Year: 2021 Keywords: high-pressure area; high-rise building; earthquake-proof structure; vulnerability; evaluation. File-URL: http://www.inderscience.com/link.php?id=119698 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:361-376 Template-Type: ReDIF-Article 1.0 Author-Name: Bandar A. Alkhayyal Author-X-Name-First: Bandar A. Author-X-Name-Last: Alkhayyal Title: Network design for reverse logistics considering carbon tax Abstract: A research model using the market price for emission allowances per metric ton illustrates how the economic and environment mechanisms of carbon price can be formulated using deterministic equilibrium model. Moreover, this framework allows us to examine the performance of, and identify how the policy proposed would affect the profitability of remanufactured goods; a comprehensive study for the quantitative evaluation and performance of the model has been done using orthogonal arrays. As demonstrated by the results, the policy related to carbon tax brings about a powerful limitation on the quantity of emissions of carbon produced by the operations of supply chains; the case study herein employed real sites and data from the Boston region. Lacking in a carbon tax, the margin of profit realised by the A/C unit is 26%, while the amount suggested by the USEPA, $40/ton CO<SUB align="right"><SMALL>2</SMALL></SUB> equivalent (tCO2e) tax, lessen the profit margin to 19%. A comparison of the results through the use of the economic input-output life cycle assessment (EIO-LCA) model, demonstrates that remanufacturing quantities of emission are 0.03 tCO2e/unit lower than refurbished manufacturing. Journal: Int. J. of Industrial and Systems Engineering Pages: 31-58 Issue: 1 Volume: 39 Year: 2021 Keywords: low carbon logistics; reverse supply chains; RSC; circular economy; greenhouse gas emissions; GHG; extended producer responsibility; industrial ecology. File-URL: http://www.inderscience.com/link.php?id=117651 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:1:p:31-58 Template-Type: ReDIF-Article 1.0 Author-Name: Cheng Chen Author-X-Name-First: Cheng Author-X-Name-Last: Chen Author-Name: Nan Ma Author-X-Name-First: Nan Author-X-Name-Last: Ma Author-Name: Yang Song Author-X-Name-First: Yang Author-X-Name-Last: Song Title: Single commercial aircraft system value evaluation method based on requirements engineering and value driven design in a commercial aircraft preliminary design stage Abstract: The paper proposes a single commercial aircraft system value evaluation method which is applicable in the commercial aircraft preliminary design stage. The approach introduces the idea of value driven design and is integrated in the framework of requirements engineering. The method takes functions and costs as major considerations to obtain value scorings and uses analytic hierarchy process to guide and transmit design value calculations and introduces cost and safety as design constraints of evaluation. The aircraft power supply is taken as an example to illustrate the utilisation of the method. The method can not only provide the corresponding value scorings for different design schemes of an aircraft system, but also help to explore the influence of function optimisation and iteration on the functions and values of subsystems and systems, thereby help aircraft designers and project managers make trade-offs and decisions from the perspective of function value. Journal: Int. J. of Industrial and Systems Engineering Pages: 84-106 Issue: 1 Volume: 38 Year: 2021 Keywords: system value evaluation; requirements engineering; value driven design; VDD; analytic hierarchy process; AHP; commercial aircraft. File-URL: http://www.inderscience.com/link.php?id=115093 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:1:p:84-106 Template-Type: ReDIF-Article 1.0 Author-Name: Vivek Deshpande Author-X-Name-First: Vivek Author-X-Name-Last: Deshpande Author-Name: Ismail W.R. Taifa Author-X-Name-First: Ismail W.R. Author-X-Name-Last: Taifa Author-Name: Nesredin Chekole Deresse Author-X-Name-First: Nesredin Chekole Author-X-Name-Last: Deresse Title: Deployment of the Taguchi technique for surface roughness optimisation Abstract: The aim is to investigate the machining parameters that are important to optimise surface roughness (<i>Ra</i>) through experimentation for EN45 steel material (AISI 9260). Optimisation of the machining parameters for a cylindrical grinding operation helps to save time, cost, and influence to get better surface characteristics and surface finish. The study deployed the Taguchi technique. The scrutinised factors included the feed rate, work speed and the depth of cut (DOC). Experimental set up involved the L<SUB align="right"><SMALL>9</SMALL></SUB> orthogonal array. Minitab<SUP align="right"><SMALL>®</SMALL></SUP> and Microsoft<SUP align="right"><SMALL>®</SMALL></SUP> Excel 2016 generated results after applying the design of experiment. The <i>Ra</i> was tested by using a portable surface roughness tester. The silicon carbide wheel and a hydraulic cylindrical grinder machine were used. After analysing the generated results, DOC was found to be statistically significant. The influential parameter of <i>Ra</i> was found to be DOC as it contributed to 45.3% and 58.6% before and after heat treatment processes, respectively. Journal: Int. J. of Industrial and Systems Engineering Pages: 1-30 Issue: 1 Volume: 39 Year: 2021 Keywords: surface roughness; optimisation; Taguchi methods; EN45 material; AISI 9260; machining parameters; heat treatment; affinity diagram; design of experiment; orthogonal array; analysis of variance; ANOVA; grinding process. File-URL: http://www.inderscience.com/link.php?id=117653 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:1:p:1-30 Template-Type: ReDIF-Article 1.0 Author-Name: Smriti Mishra Author-X-Name-First: Smriti Author-X-Name-Last: Mishra Author-Name: Prashant Bhardwaj Author-X-Name-First: Prashant Author-X-Name-Last: Bhardwaj Title: Remaining useful life estimation by stochastic Markov model and Monte-Carlo simulation Abstract: Estimation of remaining tool life is important in the planning of condition based maintenance program and helped in preventing any production loss. In this paper, a method has been proposed to estimate the remaining useful life (RUL) of a single point turning tool using stochastic Markov method. For this purpose, mild steel workpiece was machined for a constant length on a lathe machine using a high-speed steel (HSS) tool. The flank wear width of tool for multiple passes over the workpiece was recorded for constant feed, speed, and depth of cut, up to the failure of the tool. A state-based model is developed considering four gradually degraded stages of the tool. The rate equations are derived for four state Markov model representing the probabilities of the state change with respect to time. The Runge-Kutta method is used to solve the state change equations using MATLAB. The verification of analytical results was carried out by Monte Carlo simulation. The results obtained from the simulations are accurately matching with experimental results. Therefore, the RUL of a turning tool can be predicted accurately using this proposed model. Journal: Int. J. of Industrial and Systems Engineering Pages: 59-70 Issue: 1 Volume: 39 Year: 2021 Keywords: cutting tool; prognosis; mean time to failure; MTTF. File-URL: http://www.inderscience.com/link.php?id=117654 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:1:p:59-70 Template-Type: ReDIF-Article 1.0 Author-Name: Rubayet Karim Author-X-Name-First: Rubayet Author-X-Name-Last: Karim Author-Name: Koichi Nakade Author-X-Name-First: Koichi Author-X-Name-Last: Nakade Title: Stochastic analysis of an imperfect production-inventory system with consideration of random machine breakdown, rework, inspection, and environmental emissions Abstract: Incorporation of production disruption, quality, inspection, and environmental concerns in the production and inventory model has obtained significant attention in literature; nevertheless, researchers study these subjects individually. It is necessary to jointly incorporate all those aspects in a single research study to support decision making, and gain new insights for complexities in practice. This paper takes the initiative in this respect and proposes a production-inventory model with imperfect quality and disruption from a sustainable point of view. The objective is to determine the optimal rate of production and to examine the impact of emission penalty cost on production. By using the renewal reward theorem, models are formulated. The developed models are examined numerically and compared to investigate the optimal policies. The sensitivity analysis concludes that under a low emission cost, a certain level of emission beyond the permissible emission limit is acceptable, whereas the low production rate is best when the high penalty cost is imposed. Journal: Int. J. of Industrial and Systems Engineering Pages: 71-122 Issue: 1 Volume: 39 Year: 2021 Keywords: production-inventory model; defective items; environmental emission; machine breakdown; rework; inspection; renewal reward theorem. File-URL: http://www.inderscience.com/link.php?id=117657 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:1:p:71-122 Template-Type: ReDIF-Article 1.0 Author-Name: Dongliang Wang Author-X-Name-First: Dongliang Author-X-Name-Last: Wang Author-Name: Guodong Yin Author-X-Name-First: Guodong Author-X-Name-Last: Yin Author-Name: Nan Chen Author-X-Name-First: Nan Author-X-Name-Last: Chen Title: Optimisation of dynamic navigation system for automatic driving vehicle based on binocular vision Abstract: Aiming at the problem of low confidence and low success rate of vehicle navigation system, a dynamic navigation system based on binocular vision is proposed and designed. The system is optimised from two aspects: hardware and software. In hardware, binocular vision sensor is added on the basis of traditional system, and the hardware circuit of the system is optimised and modified. In software, accurate road information is obtained by binocular vision technology, and automatic driving route is planned. In the process of automatic driving, the function modules of dynamic driving state detection and vehicle path control navigation, memory and human-computer interaction unit are optimised. The experimental results show that the optimisation system has a 39% improvement in the success rate compared to the traditional navigation system, and the confidence level is improved by 8.06%. It is a navigation system having higher function to achieve success rate and confidence. Journal: Int. J. of Industrial and Systems Engineering Pages: 411-428 Issue: 3 Volume: 39 Year: 2021 Keywords: binocular vision; automatic driving; vehicle navigation; dynamic navigation; system optimisation. File-URL: http://www.inderscience.com/link.php?id=119705 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:411-428 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Ehsan Souri Author-X-Name-First: Mohammad Ehsan Author-X-Name-Last: Souri Author-Name: Reza Sheikh Author-X-Name-First: Reza Author-X-Name-Last: Sheikh Author-Name: Fatemeh Sajjadian Author-X-Name-First: Fatemeh Author-X-Name-Last: Sajjadian Author-Name: Shib Sankar Sana Author-X-Name-First: Shib Sankar Author-X-Name-Last: Sana Title: Product acceptance: service preference based on e-service quality using g-rough set theory Abstract: Nowadays, the competitive environment of e-services companies has made them deliver high quality of services. In fact, the perceived quality of e-services by consumers which determines their behaviour towards products is defined as product acceptance. Consumers have a powerful potential to pass their experiences to other consumers. In this regard, this study intends to detect the rules determining the behaviour of consumers in product acceptance based on the perceived quality of e-services. Accordingly, 407 questionnaires were distributed among online retailers' consumers and then grey rough set theory was applied to analyse them. Perceived quality dimensions and net promoter score (NPS) were determined as the condition and decision attribute, respectively. Finally, the six rules determining the behaviour of consumers were extracted through the data analysis process. Furthermore, the results showed that efficiency, system availability, fulfilment, responsiveness, and contact are the most important factors determining product acceptance. Journal: Int. J. of Industrial and Systems Engineering Pages: 527-543 Issue: 4 Volume: 37 Year: 2021 Keywords: consumer behaviour; rough set theory; grey system; net promoter score; NPS; service quality; product acceptance. File-URL: http://www.inderscience.com/link.php?id=114076 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:4:p:527-543 Template-Type: ReDIF-Article 1.0 Author-Name: Jifei Xie Author-X-Name-First: Jifei Author-X-Name-Last: Xie Title: China's manufacturing servitisation level and its impact on enterprise performance: model and empirical study Abstract: To more comprehensively and objectively evaluate China's manufacturing servitisation level, and to further examine the impact of servitisation level on enterprise performance, so as to clarify the inconclusive findings from literature, this study constructs a comprehensive evaluation index system and a fuzzy evaluation model of servitisation level, and carries out an empirical study on China's manufacturing servitisation level and its impact on enterprise performance based on the data of 903 listed enterprises in 29 manufacturing industries in eight provinces and cities in China in 2017. The results show that: servitisation has an obvious metropolitan priority characteristic; high-tech industries are in leading positions in servitisation; there is an inverted U-shaped relationship between servitisation level and both return on equity and return on total assets, and there is a U-shaped relationship between servitisation level and return on personnel; the overall servitisation level of China's manufacturing enterprises is relatively low, and there is much room for development; in terms of human capital investment, the manufacturing enterprises are facing 'servitisation paradox'; for manufacturing enterprises in the servitisation process, relatively concentrated equity rights, the realisation of scale effect and an reasonable capital structure will help to improve performance. Journal: Int. J. of Industrial and Systems Engineering Pages: 477-505 Issue: 4 Volume: 37 Year: 2021 Keywords: servitisation; enterprise performance; index system; China; fuzzy evaluation. File-URL: http://www.inderscience.com/link.php?id=114077 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:4:p:477-505 Template-Type: ReDIF-Article 1.0 Author-Name: Yongxiang Lang Author-X-Name-First: Yongxiang Author-X-Name-Last: Lang Author-Name: Guangqing Shan Author-X-Name-First: Guangqing Author-X-Name-Last: Shan Title: Design of remote electronic fire monitoring system based on K-means clustering algorithm Abstract: In order to overcome the problem of poor real-time response and accuracy of remote electronic fire monitoring system, a remote electronic fire monitoring system based on K-means clustering algorithm is proposed and designed. The hardware of the system includes communication module, smoke sensor, temperature sensor and image collector. In the design of system software, firstly, the database is constructed, the information collected by system hardware is collected into the database, the fire characteristics are extracted, and the smoke, temperature and image data in the database are clustered by K-means clustering algorithm. The fused fuzzy reasoning is carried out to determine whether the fire occurs or not, so as to realise remote electronic fire monitoring. The experimental results show that the response delay of the system is always under 1.5 μs, the response delay is short, the response accuracy is always above 95%, the monitoring accuracy is high, and it is practical. Journal: Int. J. of Industrial and Systems Engineering Pages: 429-445 Issue: 3 Volume: 39 Year: 2021 Keywords: K-means clustering algorithm; remote fire; fire image; electronic monitoring system. File-URL: http://www.inderscience.com/link.php?id=119710 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:429-445 Template-Type: ReDIF-Article 1.0 Author-Name: Shi Meishan Author-X-Name-First: Shi Author-X-Name-Last: Meishan Title: Design of intelligent planning system for tourist scenic route based on ant colony algorithm Abstract: In view of the problems of CPU energy consumption and mobile phone memory occupation in the current intelligent planning system of tourist attraction line, an intelligent planning system of tourist attraction line based on ant colony algorithm is proposed. The system hardware consists of data integration device, sensor and GPS positioning chip. In the software part of the system, ant colony algorithm is used to transform the problem of landscape path planning into the shortest feasible path problem: to calculate the transfer probability of ants to scenic spots, to construct the weight matrix used by ants in the process of path finding, to construct the intelligent planning model, and to realise the intelligent planning of scenic spots. The experimental results show that the CPU consumption of the system is 24.3% and the mobile memory consumption is 2.54%, which can solve the problems existing in the traditional routing planning system. Journal: Int. J. of Industrial and Systems Engineering Pages: 377-393 Issue: 3 Volume: 39 Year: 2021 Keywords: ant colony algorithm; tourist scenic spots; route intelligent planning; weight matrix; system design. File-URL: http://www.inderscience.com/link.php?id=119712 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:377-393 Template-Type: ReDIF-Article 1.0 Author-Name: G.F. Chakravarthi Author-X-Name-First: G.F. Author-X-Name-Last: Chakravarthi Author-Name: K. Ravindra Author-X-Name-First: K. Author-X-Name-Last: Ravindra Author-Name: Siddharth Chaubey Author-X-Name-First: Siddharth Author-X-Name-Last: Chaubey Title: Material characterisation of Cu-graphite-flyash and Cu-lead-flyash metal matrix composites Abstract: In this present work, copper matrix composites were fabricated and characterised with the aid of powder metallurgy technique. Copper-graphite-flyash and copper-lead-flyash composites were prepared by conventional powder metallurgy technique using single action die compaction. Compositions are made with five weight percentage of lead and graphite powdered particles are reinforced separately in copper matrix along with 5, 10 and 15 weight percent flyash fabricated under various compacting pressures. Compacting properties of these composites were characterised. The results were analysed and found that composites reinforced 10 wt% of flyash in 5 wt% of graphite or 5% lead and exhibits compacting properties in comparison with pure copper. Journal: Int. J. of Industrial and Systems Engineering Pages: 330-339 Issue: 3 Volume: 39 Year: 2021 Keywords: copper matrix; lead; graphite; powder metallurgy; metal matrix composite; MMC; flyash; spring back; true porosity. File-URL: http://www.inderscience.com/link.php?id=119713 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:330-339 Template-Type: ReDIF-Article 1.0 Author-Name: M.N.P. Meibody Author-X-Name-First: M.N.P. Author-X-Name-Last: Meibody Author-Name: H. Naseh Author-X-Name-First: H. Author-X-Name-Last: Naseh Author-Name: F. Ommi Author-X-Name-First: F. Author-X-Name-Last: Ommi Title: Adaptive surrogate modelling algorithm for meta-model-based design optimisation Abstract: In this paper, an adaptive meta-modelling algorithm is proposed for complex systems surrogate modelling. Progressive Latin hypercube sampling (PLHS) has been developed as the design of experiments (DOE) method for meta-modelling. In this DOE, the number of samples increases in an iterative process until the meta-modelling accuracy converges. To evaluate the effects of design parameters on the system response, sensitivity analysis has been performed. Particle swarm optimisation (PSO) algorithm is applied as the optimiser. The proposed methodology reduces the computational costs of the design optimisation process. The PLHS-based surrogate modelling is applied to the design of a space thruster nozzle as a case study. In this case, propulsion efficiency and mass (key factors of space propulsion systems) are considered as objective functions. Journal: Int. J. of Industrial and Systems Engineering Pages: 394-410 Issue: 3 Volume: 39 Year: 2021 Keywords: surrogate modelling; progressive Latin hypercube sampling; PLHS; meta-model-based design optimisation; MBDO; Kriging; space nozzle. File-URL: http://www.inderscience.com/link.php?id=119721 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:3:p:394-410 Template-Type: ReDIF-Article 1.0 Author-Name: Said Barrijal Author-X-Name-First: Said Author-X-Name-Last: Barrijal Author-Name: Mohamed Ben Ali Author-X-Name-First: Mohamed Ben Author-X-Name-Last: Ali Author-Name: Said Rifai Author-X-Name-First: Said Author-X-Name-Last: Rifai Author-Name: Otmane Bouksour Author-X-Name-First: Otmane Author-X-Name-Last: Bouksour Title: Quality: from industrial performance to societal responsibility. Case of young industrial enterprises located in the region of Tetouan, Morocco Abstract: This article aims to study and measure the possible interrelationships between quality practices and the corporate social responsibility (CSR) companies' actions by examining the mediating role of overall performance of the industrial young enterprises installed in the Province of Tetouan, Morocco, based on investigations conducted through a questionnaire administered to the owner-managers of this kind of enterprises. The total number of questionnaires used is 122. Using PLS-path modelling, we concluded that overall quality practices positively impact the overall performance (financial and non-financial) of this type of enterprise, while noting that non-financial performance (customers, internal processes, organisational learning and innovation) can play well the mediating role between quality practices and corporate social responsibility 'CSR', whereas this is not the case for financial performance: it cannot play the mediating role between quality practices and CSR. Journal: Int. J. of Industrial and Systems Engineering Pages: 123-150 Issue: 1 Volume: 39 Year: 2021 Keywords: modelling; PLS; financial performance; non-financial performance; NFP; quality practices; corporate social responsibility; CSR; young industrial enterprise; Morocco. File-URL: http://www.inderscience.com/link.php?id=117684 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:1:p:123-150 Template-Type: ReDIF-Article 1.0 Author-Name: Neha Author-X-Name-First: Author-X-Name-Last: Neha Author-Name: Vibha Verma Author-X-Name-First: Vibha Author-X-Name-Last: Verma Author-Name: Abhishek Tandon Author-X-Name-First: Abhishek Author-X-Name-Last: Tandon Author-Name: Anu G. Aggarwal Author-X-Name-First: Anu G. Author-X-Name-Last: Aggarwal Title: Software reliability allocation incorporating Pythagorean fuzzy theory and AHP Abstract: Systematic management in the early stage of development helps the software firms to develop a qualitative software product. One of the crucial tasks in the software design phase of software development life cycle is to assign reliabilities to modules based on the overall reliability goal. AHP has been extensively used to allocate reliability among modules on the basis of preferences given by the decision-maker, who can be an industry expert or senior level IT personnel. Their opinions are obtained in linguistic terms and later converted to crisp values for comparison at various levels. This approach incorporates vague decisions, incomplete information and uncertain preferences during decision-making. In this paper, we discuss an allocation method where preferences are assigned in terms of Pythagorean fuzzy numbers based on a hierarchy that relates the users, software engineers and programmer expectations for the software system. The methodology and concepts used have been discussed in detail. The proposed approach has been implemented through an example problem. Journal: Int. J. of Industrial and Systems Engineering Pages: 19-34 Issue: 1 Volume: 38 Year: 2021 Keywords: software reliability allocation; hierarchical structure; multi-criteria decision making; MCDM; analytical hierarchy process; AHP; Pythagorean fuzzy sets; PFS. File-URL: http://www.inderscience.com/link.php?id=115128 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:1:p:19-34 Template-Type: ReDIF-Article 1.0 Author-Name: Yan Zhang Author-X-Name-First: Yan Author-X-Name-Last: Zhang Author-Name: Jianzhong Wang Author-X-Name-First: Jianzhong Author-X-Name-Last: Wang Title: Parking correction of strapdown inertial navigation system Abstract: Laser gyroscope strapdown inertial navigation system can provide accurate navigation for carrier without depending on external information. Due to the enlargement of long-term cumulative navigation error, it needs to be revised at regular intervals, so its mobility is limited. In regard to the practical application of vehicle navigation, an adaptive zero velocity correction method is proposed. Fifteen basic error parameters are constructed by using the constraint condition of zero velocity. According to the error characteristics of the system itself, the state measurement matrix and equation of the system are designed. Based on the observability theory of general condition number, the observability of each state of the system is analysed and the parameters of Kalman filter are determined, which effectively improves the IMU navigation accuracy of inertial navigation components. Experiments show that this method can overcome the problem of frequent parking and effectively improve the navigation accuracy and mobility of the system. Journal: Int. J. of Industrial and Systems Engineering Pages: 450-468 Issue: 4 Volume: 38 Year: 2021 Keywords: strapdown inertial navigation system; zero speed correction; attitude angle; error equation; Kalman filtering. File-URL: http://www.inderscience.com/link.php?id=116924 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:4:p:450-468 Template-Type: ReDIF-Article 1.0 Author-Name: Ghaith M. Al-Abdallah Author-X-Name-First: Ghaith M. Author-X-Name-Last: Al-Abdallah Title: Can internal marketing activities save small and medium industrial enterprises in a tough economy? Back to the basics approach Abstract: Recently, and due to the economic pressure in Jordan, several small and medium enterprises have filed for bankruptcy, or downsized their business leading to the layout of hundreds of employees, which will deepen the economic problems in Jordan and increase the circle of effect. Small and medium enterprises can follow other courses of actions to address such issue. This paper aims to understand the possible impact of internal marketing practices and activities during economic problems on the employees' productivity in small and medium industrial enterprises. In order to achieve this aim, a descriptive analytical methodology was used, quantitative approach through survey strategy was applied and electronically administrated questionnaires were utilised to collect the primary data from a representative stratified random sample of 490 small and medium industrial enterprises out of 2,291 registered local small and medium industrial enterprises. 345 filtered and screened questionnaires were analysed using SPSS, the main results of simple and multiple regression analyses indicate that internal marketing mix has a strong positive direct effect on employees' productivity, where internal promotion has the most effect followed by workplace, internal product and internal price respectively. Discussion, conclusion, and recommendations are provided based on the results of the study. Journal: Int. J. of Industrial and Systems Engineering Pages: 469-483 Issue: 4 Volume: 38 Year: 2021 Keywords: internal marketing; employees productivity; small and medium enterprises; industrial sector; tough economy; developing countries; Jordan. File-URL: http://www.inderscience.com/link.php?id=116925 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:4:p:469-483 Template-Type: ReDIF-Article 1.0 Author-Name: Kemlall Ramdass Author-X-Name-First: Kemlall Author-X-Name-Last: Ramdass Author-Name: Fulufhelo Ṋemavhola Author-X-Name-First: Fulufhelo Author-X-Name-Last: Ṋemavhola Author-Name: Kgabo Mokgohloa Author-X-Name-First: Kgabo Author-X-Name-Last: Mokgohloa Title: Leadership competencies for high performance - a quality system's perspective Abstract: Organisations continuously experience change in terms of increasing customer demands. This realigns to the impact on quality, innovation, service speed and delivery, and price. In order to maintain competitive advantage in all these aspects, it has become inherent to examine leadership competencies in driving the organisation towards operational excellence. Empirical evidence shows that South Africa does not have sufficient competent leaders that have the ability to master the art of change management. The global business environment is dynamic in nature and competitiveness is vital for survival. Leadership is required to steer the organisation towards sustainable operational excellence. In addition, literature advocates management commitment in driving system implementation. Competent leaders have the ability to strategically position themselves in the implementation of a new system that affect the entire value chain. In this study, an evaluation is done to determine the leadership competencies required in the implementation of the ISO 9001 quality management system (QMS) through quantitative analysis. The paper aims to determine the leadership competencies that are essential from a South African perspective in the implementation of the ISO 9001 quality management standard. Journal: Int. J. of Industrial and Systems Engineering Pages: 393-415 Issue: 4 Volume: 38 Year: 2021 Keywords: leadership competencies; systems engineering; organisational leadership; ISO 9000. File-URL: http://www.inderscience.com/link.php?id=116926 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:4:p:393-415 Template-Type: ReDIF-Article 1.0 Author-Name: Shahin Ordikhani Author-X-Name-First: Shahin Author-X-Name-Last: Ordikhani Author-Name: Sara Habibi Author-X-Name-First: Sara Author-X-Name-Last: Habibi Author-Name: Ahmad Reza Haghighi Author-X-Name-First: Ahmad Reza Author-X-Name-Last: Haghighi Title: Identifying companies' bankruptcy using an enhanced neural network model: a case study evaluating the bankruptcy of Iranian stock exchange companies Abstract: The purpose of this research is to utilise an enhanced neural network model to anticipate the bankruptcy of stock exchange companies and test the predictive power of this model by considering the concept of misclassification. Misclassifications decrease the accuracy of prediction. Among every one of the structures of the two-layer neural network, the perceptron model with the structure of nine neurons in the input layer and a neuron in the output layer with the Levenberg learning algorithm demonstrated the most predictive power. The neuron structures three, five, and nine were considered to decide the proper characteristics of a two-layer perceptron for anticipating companies' bankruptcy. Among them, the two-layer perceptron with nine neurons in the input layer and one neuron in the output layer identified to has the best performance. The findings demonstrate that applying artificial neural network models amplify financial management for facing with fluctuations and bankruptcy. Journal: Int. J. of Industrial and Systems Engineering Pages: 503-529 Issue: 4 Volume: 38 Year: 2021 Keywords: effective predicting financial rates; bankruptcy; neural network; machine learnings; predictive power. File-URL: http://www.inderscience.com/link.php?id=116927 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:4:p:503-529 Template-Type: ReDIF-Article 1.0 Author-Name: P. Raghuram Author-X-Name-First: P. Author-X-Name-Last: Raghuram Author-Name: G. Harisankar Author-X-Name-First: G. Author-X-Name-Last: Harisankar Title: Modelling and assessment of the impact of supply disruption and cost of recovery using system dynamics approach Abstract: Shorter product life cycles and customisation have exposed the hidden problems in the supply chain. Supply disruptions, caused due any sudden event, is one of the major concerns of the manufacturing industry. This paper focuses on the impact of non-availability of parts from a supplier due to unpredictable events and the cost of recovery from such disruption. System dynamics approach is used to model the interactions between the variables required to maintain the availability of parts. In this model, time to restore operations, time to find alternate suppliers, inventory consumption till restoration, safety stock availability and backlogs are considered. This model was then used to assess disruption impact on inventory, lead time and recovery costs using iThink software. Assessment of supply disruption for all the procured parts will help the company to recognise and take proactive steps, such as identifying alternate suppliers, making engineering changes and modifying the manufacturing processes. Journal: Int. J. of Industrial and Systems Engineering Pages: 432-449 Issue: 4 Volume: 38 Year: 2021 Keywords: supply disruptions; inventory; assessment; system dynamics; modelling. File-URL: http://www.inderscience.com/link.php?id=116928 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:4:p:432-449 Template-Type: ReDIF-Article 1.0 Author-Name: Aysha Farzana Kichloo Author-X-Name-First: Aysha Farzana Author-X-Name-Last: Kichloo Author-Name: Ruttba Aziz Author-X-Name-First: Ruttba Author-X-Name-Last: Aziz Author-Name: Mir Irfan Ul Haq Author-X-Name-First: Mir Irfan Ul Author-X-Name-Last: Haq Author-Name: Ankush Raina Author-X-Name-First: Ankush Author-X-Name-Last: Raina Title: Mechanical and physical behaviour of 3D printed polymer nanocomposites - a review Abstract: In the modern product development process, 3D printing is emerging as a novel technology for rapid manufacturing of components with complex geometries. Thermoplastic polymers are widely being 3D printed, however due to their poor mechanical properties there is a growing need for polymer composites which possess better performance. The favourable properties offered by nanocomposites have led to shift in focus towards development and characterisation of various nanocomposites. In this paper, studies directed towards nanocomposites processed via fused deposition modelling method have been reviewed. The effect of various reinforcing agents and various process parameters on mechanical properties of these nanocomposites has been presented. The literature suggests that additive manufacturing has tremendous potential in improving the properties of the polymeric composites. Moreover, the 3D printing technology is flexible enough to shorten the product development time. However, the effect of various process parameters on the mechanical properties needs to be studied in detail. Journal: Int. J. of Industrial and Systems Engineering Pages: 484-502 Issue: 4 Volume: 38 Year: 2021 Keywords: 3D printing; nanocomposites; polymers; mechanical testing; product development; fused deposition modelling; FDM. File-URL: http://www.inderscience.com/link.php?id=116929 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:4:p:484-502 Template-Type: ReDIF-Article 1.0 Author-Name: Weng Geping Author-X-Name-First: Weng Author-X-Name-Last: Geping Author-Name: Ruan Haojie Author-X-Name-First: Ruan Author-X-Name-Last: Haojie Author-Name: Qian Cheng Author-X-Name-First: Qian Author-X-Name-Last: Cheng Author-Name: Fei Wei Author-X-Name-First: Fei Author-X-Name-Last: Wei Author-Name: Yu Gongjin Author-X-Name-First: Yu Author-X-Name-Last: Gongjin Author-Name: Wei Guangyu Author-X-Name-First: Wei Author-X-Name-Last: Guangyu Title: Assessment method for wind-resistance resilience of power grid based on extension analytic hierarchy process Abstract: In view of the problems of long time, low accuracy and high cost in traditional assessment method for wind-resistance resilience of power grid, an assessment method for wind-resistance resilience of power grid based on extension analytic hierarchy process is proposed. Based on the traditional extension analytic hierarchy process, this method adds the fuzziness of artificial judgment to realise the consistency requirement of the judgment matrix of wind-resistance resilience in power grid. A wind speed model of typhoon is built to obtain the failure rate of power grid equipment under different wind speeds, and evaluate the load power supply capability guaranteed by power grid during the whole process of grid reconstruction-power restoration after typhoon disasters. The test results show that the proposed method has shorter completion time, higher accuracy and lower cost. Journal: Int. J. of Industrial and Systems Engineering Pages: 416-431 Issue: 4 Volume: 38 Year: 2021 Keywords: extension analytic hierarchy process; wind-resistance of power grid; performance assessment. File-URL: http://www.inderscience.com/link.php?id=116949 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:38:y:2021:i:4:p:416-431 Template-Type: ReDIF-Article 1.0 Author-Name: Osama T. Al Meanazel Author-X-Name-First: Osama T. Al Author-X-Name-Last: Meanazel Author-Name: Abd Al-Rahman S. Al-Shudiefat Author-X-Name-First: Abd Al-Rahman S. Author-X-Name-Last: Al-Shudiefat Author-Name: Hesham Ahmad Al-Momani Author-X-Name-First: Hesham Ahmad Author-X-Name-Last: Al-Momani Author-Name: Faisal Aqlan Author-X-Name-First: Faisal Author-X-Name-Last: Aqlan Title: Factors affecting spine loading in a box lifting task: a digital human modelling study Abstract: This paper presents a digital human modelling (DHM) study of a box-lifting task considering human physical characteristics (i.e., gender and percentile) and task requirements (i.e., posture and force). Two response variables are considered: compression force on L4/L5 and the tension on right/left Latissimus Dorsi muscle. Multivariate analysis of variance (MANOVA) was used to analyse the data. Results showed that lower back compression force is positively correlated with Latissimus Dorsi muscle tension (r = 0.94). Moreover, the 95th percentile male in standing position experienced the highest compression force on the lower back; however, both males and females had similar muscle tension. Journal: Int. J. of Industrial and Systems Engineering Pages: 168-178 Issue: 2 Volume: 37 Year: 2021 Keywords: lower back disorders; lifting; manual material handling; MMH; digital human modelling; DHM. File-URL: http://www.inderscience.com/link.php?id=112872 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:168-178 Template-Type: ReDIF-Article 1.0 Author-Name: Wen-bo Wang Author-X-Name-First: Wen-bo Author-X-Name-Last: Wang Title: Stability analysis of cross-section of double-row large-diameter pipeline based on BIM technology Abstract: In order to improve the efficiency of pipeline stability analysis method, taking X80 pipeline with diameter of 1,219 mm as an example, a stability analysis method of pipeline section based on BIM technology is proposed. The displacement field and stress characteristics underground load are analysed. The earth pressure around the pipeline section underground load is calculated. The factors affecting the stability of pipeline cross-section are analysed. The criterion of section stability of double-row large-diameter pipelines under external loads is determined. By using ABAQUS software and BIM technology, the dynamic response and deformation law of double-row large-diameter pipeline under rockfall impact are analysed. At the end of the impact load, the centre of the pipeline will eventually protrude 19.08 mm, which is close to the theoretical value of 22.6 mm. It is better than the method of traditional. Journal: Int. J. of Industrial and Systems Engineering Pages: 162-175 Issue: 2 Volume: 39 Year: 2021 Keywords: BIM technology; double-row; large-diameter pipeline; stability; cross-section. File-URL: http://www.inderscience.com/link.php?id=118251 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:162-175 Template-Type: ReDIF-Article 1.0 Author-Name: Vineet Jain Author-X-Name-First: Vineet Author-X-Name-Last: Jain Author-Name: Tilak Raj Author-X-Name-First: Tilak Author-X-Name-Last: Raj Title: Study of issues related to constraints in FMS by ISM, fuzzy ISM and TISM Abstract: The purpose of this research is the identification of issues related to constraints in the flexible manufacturing system (FMS). FMS comprises different resources as machine tool, material handling system with computer control, etc. FMS offers high utilisation of resources, less labour costs, less work-in-process inventories, shorter lead times, etc. Machine tools are required to produce different parts. Robots and automated guided vehicles (AGVs) are included in FMS material handling system. This paper shows the study of different constraints in FMS. Modelling of these constraints is performed by interpretive structural modelling (ISM), fuzzy ISM and total ISM (TISM) approaches. The driving and the dependence power of the constraints are analysed by MICMAC and fuzzy MICMAC. To validate the driving power of variables, the relative importance of variables is determined by AHP methodology. Finally, concluded that fixture and robot are the key variables of FMS constraints. Journal: Int. J. of Industrial and Systems Engineering Pages: 197-221 Issue: 2 Volume: 37 Year: 2021 Keywords: flexible manufacturing system; FMS; total interpretive structural modelling; TISM; interpretive structural modelling; ISM; analytic hierarchy process; AHP; fuzzy ISM; constraint. File-URL: http://www.inderscience.com/link.php?id=112876 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:197-221 Template-Type: ReDIF-Article 1.0 Author-Name: Wei Sun Author-X-Name-First: Wei Author-X-Name-Last: Sun Author-Name: Yi Cui Author-X-Name-First: Yi Author-X-Name-Last: Cui Title: Simulation analysis on continuous collapse resistance of assembled building structure under multi-dimensional earthquake Abstract: Under the multi-dimensional earthquake, the random damage of the building column structure is large, and the analysis of the continuous anti collapse performance of the building structure is limited. Therefore, the simulation analysis of continuous anti collapse of assembled building structure under multi-dimensional earthquake is proposed. Through the analysis of the undamaged structure of the building, it is found that under the action of multi-dimensional earthquake, if the long side column, corner column and inner column of the building structure are damaged, it may lead to the collapse of the assembled building structure. The test results show that the continuous collapse caused by inner column demolition is the strongest, followed by long central column, corner column demolition will not cause the continuous collapse of the building structure. Journal: Int. J. of Industrial and Systems Engineering Pages: 220-235 Issue: 2 Volume: 39 Year: 2021 Keywords: multi-dimensional earthquake; assembled building structures; resistance to continuous collapse. File-URL: http://www.inderscience.com/link.php?id=118252 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:220-235 Template-Type: ReDIF-Article 1.0 Author-Name: Jongmin Park Author-X-Name-First: Jongmin Author-X-Name-Last: Park Author-Name: Sangil Choi Author-X-Name-First: Sangil Author-X-Name-Last: Choi Author-Name: Jongsoon Kim Author-X-Name-First: Jongsoon Author-X-Name-Last: Kim Author-Name: Hyunmo Jung Author-X-Name-First: Hyunmo Author-X-Name-Last: Jung Author-Name: Jonghun Park Author-X-Name-First: Jonghun Author-X-Name-Last: Park Title: Vibration measurement and analysis in carton clamp truck handling Abstract: The purpose of this study was to construct power spectral density (PSD) profiles to analyse carton clamp truck handling environments. It also aimed to investigate the effects of payload, travelling speed, and tyre type on vibration levels of the main body and attachment of the clamp truck. Three types of PSD profiles of carton clamp truck handling were constructed for three different test courses designed based on a case study in the home appliance industry, ASTM D6055 and ISTA 3B. Experimental results showed that the overall root mean square acceleration of the new test course designed based on the actual handling environment in the home appliance industry is between the data obtained from ASTM D6055 and ISTA 3B test courses. The vibration levels measured at both the main body and attachment of the clamp truck increased with travel speed, they also increased when payload decreased. Journal: Int. J. of Industrial and Systems Engineering Pages: 241-264 Issue: 2 Volume: 37 Year: 2021 Keywords: vibration measurement; power spectral density; PSD; carton clamp truck; palletless handling; driving test course. File-URL: http://www.inderscience.com/link.php?id=112877 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:241-264 Template-Type: ReDIF-Article 1.0 Author-Name: Peng Lu Author-X-Name-First: Peng Author-X-Name-Last: Lu Author-Name: Xiaomei Li Author-X-Name-First: Xiaomei Author-X-Name-Last: Li Author-Name: Jinrong Nie Author-X-Name-First: Jinrong Author-X-Name-Last: Nie Title: Sudden risk predication model of construction supply chain based on data mining Abstract: In order to improve the accuracy of quantitative evaluation of construction supply chain burst risk, improve the ability of risk prediction, and effectively guide the prevention of construction supply chain burst risk, a quantitative evaluation and prediction model of construction supply chain burst risk based on data mining and multiple regression analysis is proposed. In this method, firstly, information acquisition and adaptive feature extraction are performed to characteristic quantity in quantitative analysis of sudden risks of the construction supply chain. Secondly, a stochastic probability density model is adopted to decompose characteristics of sudden risks of the construction supply chain, and risk evaluation and relevant predication are performed to the construction supply chain through internal control and extract control. The simulation results show that the method has high accuracy in the construction supply chain sudden risk prediction, with an average prediction accuracy of 88.86%, and the shortest time cost. It can be completed in only seven seconds in the prediction process. It has good global convergence and optimisation ability in the prediction. Journal: Int. J. of Industrial and Systems Engineering Pages: 205-219 Issue: 2 Volume: 39 Year: 2021 Keywords: data mining; the construction supply chain; risk predication; feature extraction; regression analysis. File-URL: http://www.inderscience.com/link.php?id=118253 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:205-219 Template-Type: ReDIF-Article 1.0 Author-Name: Jun Su Author-X-Name-First: Jun Author-X-Name-Last: Su Author-Name: Laoxiang Liu Author-X-Name-First: Laoxiang Author-X-Name-Last: Liu Title: Simulation research on active control of low frequency modal vibration of double-joint flexible manipulator Abstract: In order to solve the problems of low precision and high noise in the traditional vibration control method of manipulator, an active control method of low frequency modal vibration is proposed. The dynamic model is constructed by using the finite element equation and modal technology. The low-frequency and high-frequency modes are distinguished. The low-frequency mode is transformed into the state space equation based on the state variable. The volume and velocity are controlled to 0 by the method of 0 volume velocity mode construction. Finally, the coupling modal space control method is used to control the low frequency order frequency, damping ratio and modal shape. The active control is realised by displacement amplitude vector and velocity amplitude vector. The simulation results show that the position error of the elastic displacement of the arm and the moving platform centre in X and Y directions, is less than 0.02 mm. Journal: Int. J. of Industrial and Systems Engineering Pages: 287-298 Issue: 2 Volume: 39 Year: 2021 Keywords: double joint; flexible manipulator; low frequency; modal vibration; active control; simulation. File-URL: http://www.inderscience.com/link.php?id=118254 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:287-298 Template-Type: ReDIF-Article 1.0 Author-Name: B.J. Sreejith Author-X-Name-First: B.J. Author-X-Name-Last: Sreejith Author-Name: T. Radha Ramanan Author-X-Name-First: T. Radha Author-X-Name-Last: Ramanan Title: Modelling and comparison of three echelon production-inventory supply chain models for a deteriorating product with and without backlogging Abstract: We consider a production inventory problem of a deteriorating product that begins to deteriorate immediately on production. Two models of three echelon supply chain are developed whose rate of demand, production and deterioration are assumed to be constant. The second model allows backlogging of the demand, while the first model does not allow backlogging. In both models, the producer's cycle starts with zero stock and the production continues till the stock level reaches an optimal value. There will be demand and deterioration and consequently stock level falls to zero during the non-production phase. The demand subsequently received is backordered in the second model and a fraction of it is met by restarting the production process. Optimal lot sizes of distributor and retailer is identified within each of the producer's cycle. A numerical example is illustrated. Comparison between the models shows that backordering reduces the total supply chain cost. Journal: Int. J. of Industrial and Systems Engineering Pages: 265-282 Issue: 2 Volume: 37 Year: 2021 Keywords: inventory management; multi-echelon supply chain; backlogging; deteriorating product; integrated supply chain. File-URL: http://www.inderscience.com/link.php?id=112879 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:265-282 Template-Type: ReDIF-Article 1.0 Author-Name: Ghasem Tohidi Author-X-Name-First: Ghasem Author-X-Name-Last: Tohidi Author-Name: Simin Tohidnia Author-X-Name-First: Simin Author-X-Name-Last: Tohidnia Title: A non-radial approach to improve the interval cost efficiency score in DEA Abstract: This paper suggests an approach for improving the cost efficiency score of inefficient decision making units (DMUs) with interval data. Corresponding to each inefficient DMU, we consider an interval ideal input vector and then develop two non-radial models to determine a point in the production possibility set that can produce the given interval output vector with the minimum possible cost and is closest point to the corresponding ideal point. By replacing the observed interval input vector with the interval input vector of the obtained point, one can improve the lower bound of the interval cost efficiency score as much as possible while the upper bound can achieve one. A numerical example also will be designed to demonstrate the applicability of the proposed approach. Journal: Int. J. of Industrial and Systems Engineering Pages: 151-161 Issue: 2 Volume: 39 Year: 2021 Keywords: data envelopment analysis; DEA; cost efficiency; interval data; ideal input vector; non-radial model. File-URL: http://www.inderscience.com/link.php?id=118255 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:151-161 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 Author-Name: I. Nagaraju Author-X-Name-First: I. Author-X-Name-Last: Nagaraju Title: Optimisation of total supply chain cost of multi-echelon system in leagile network under probabilistic demand Abstract: In era of competitive digitalised world inventory management and cost control in total supply chain (SC) becomes challenging job for industrialists and researchers. In general, supply chain contains of multi-supplier, retailer, and manufacturing plants at various locations where it supplies versatile products to the end users with trending expectations in stochastic demands. To control total SC cost, the optimum level of inventory should establish at every location by considering various influencing factors. Therefore, this paper developed a computational complex problem considering all practical scenarios subjected to quantity, cost, capacity and space constraints with the aim of minimising total SC cost and improving legality of SC network. A novel self-adaptive harmonic search (NSHS) algorithm applied to accomplish accurate results efficiently. Finally, this novel model demonstrated with an illustrative example tested with practical data to prove its feasibility and effectiveness. Journal: Int. J. of Industrial and Systems Engineering Pages: 270-286 Issue: 2 Volume: 39 Year: 2021 Keywords: inventory management; order quantity; (s, S) policy; novel self-adaptive harmonic search; NSHS. File-URL: http://www.inderscience.com/link.php?id=118256 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:270-286 Template-Type: ReDIF-Article 1.0 Author-Name: Sachin J. Chede Author-X-Name-First: Sachin J. Author-X-Name-Last: Chede Author-Name: Bhushan R. Adavadkar Author-X-Name-First: Bhushan R. Author-X-Name-Last: Adavadkar Author-Name: Aditya S. Patil Author-X-Name-First: Aditya S. Author-X-Name-Last: Patil Author-Name: Harsh K. Chhatriwala Author-X-Name-First: Harsh K. Author-X-Name-Last: Chhatriwala Author-Name: Mohit P. Keswani Author-X-Name-First: Mohit P. Author-X-Name-Last: Keswani Title: Material selection for design of powered hand truck using TOPSIS Abstract: Selection of materials in engineering design have vital role. Choice of relevant material for a particular product is a major task for designers. In this paper we are using multi criteria decision making (MCDM) TOPSIS tool for selecting the material for the designing of powered hand truck. The suitable five materials (SS 304, AISI 1010, AISI 1020, Al 6061-T6, Al 5052-O) are taken into consideration, and with the attributes of the five material properties as well as characteristics (tensile strength, modulus of elasticity, density, affordability, machinability) are considered for analysis purpose. The attribute weights are computed using entropy method. Sensitivity analysis for TOPSIS is done so that it can contribute effectively for making accurate decisions. SAW method is also used to verify the end results. As per the analysis, AISI 1020 is a more suitable material and hence chosen for designing and fabrication of powered hand truck. Journal: Int. J. of Industrial and Systems Engineering Pages: 236-246 Issue: 2 Volume: 39 Year: 2021 Keywords: material selection; multi criteria decision making; MCDM; TOPSIS method; SAW method; weightage calculation; entropy method; PHT. File-URL: http://www.inderscience.com/link.php?id=118257 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:236-246 Template-Type: ReDIF-Article 1.0 Author-Name: Islam Benhamida Author-X-Name-First: Islam Author-X-Name-Last: Benhamida Author-Name: Aissa Ameur Author-X-Name-First: Aissa Author-X-Name-Last: Ameur Author-Name: Katia Kouzi Author-X-Name-First: Katia Author-X-Name-Last: Kouzi Title: Torque ripple mitigation in FCS-MPDTC of PMSM drive using an adaptive fuzzy logic modulator Abstract: This paper presents the use of the fuzzy logic duty cycle concept in the finite-control-set model predictive direct torque control (FCS-MPDTC) strategy to mitigate the torque ripples of a surface-mounted permanent magnet synchronous motor (PMSM) drive. In fact, MPDTC is a simple and powerful tool to overcome the main drawbacks associated with the commonly used control strategies like direct torque control (DTC) and field-oriented control (FOC). However, the conventional-MPDTC selects only one voltage vector (VV) per sampling period and this procedure leads to increase relatively the torque ripple. In order to further improve the torque control performance, an adaptive fuzzy logic-based duty cycle modulation is utilised and two VV's instead of single VV are applied during the whole control cycle. The performances of the proposed control scheme are simulated and compared to those obtained with conventional-MPDTC. The simulation results show that the proposed AFLM-MPDTC can effectively mitigate the torque ripples, even under severe operating conditions. Journal: Int. J. of Industrial and Systems Engineering Pages: 179-196 Issue: 2 Volume: 37 Year: 2021 Keywords: permanent magnet synchronous motor; PMSM; MPDTC; finite control set; FCS; torque ripple; duty cycle; adaptive fuzzy logic modulator; AFLM. File-URL: http://www.inderscience.com/link.php?id=112882 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:179-196 Template-Type: ReDIF-Article 1.0 Author-Name: Boby John Author-X-Name-First: Boby Author-X-Name-Last: John Author-Name: S.M. Subhani Author-X-Name-First: S.M. Author-X-Name-Last: Subhani Title: A service level agreement baselining methodology for non-normal characteristics using the Pearson distribution Abstract: Many organisations use outsourcing to achieve cost advantage and focus on core processes. The quality of the services provided by the outsourced partner plays a significant role in the firm's overall performance. The service level agreement (SLA) baselining is the process of finalising the performance level expected from the outsourced partner. Generally, performance characteristics like cycle time, turnaround time, handling time, productivity, etc. are baselined. Many of the aforementioned metrics may not be normally distributed. In this paper, the authors discuss the cases of baselining non-normal performance characteristics. The methodology is to fit a general system of distributions namely the Pearson family of distribution and identify the SLA value using the best fit Pearson type of distribution. The methodology is demonstrated through two case studies and results are found to be very encouraging. The methodology can be used for baselining of non-normal performance characteristics of various service industries. Journal: Int. J. of Industrial and Systems Engineering Pages: 222-240 Issue: 2 Volume: 37 Year: 2021 Keywords: service level agreement baselining; process capability analysis; non-normal characteristics; Pearson family of distributions; R package. File-URL: http://www.inderscience.com/link.php?id=112883 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:222-240 Template-Type: ReDIF-Article 1.0 Author-Name: Wenchong Chen Author-X-Name-First: Wenchong Author-X-Name-Last: Chen Author-Name: Hongwei Liu Author-X-Name-First: Hongwei Author-X-Name-Last: Liu Author-Name: Ershi Qi Author-X-Name-First: Ershi Author-X-Name-Last: Qi Title: Buffer allocation in asynchronous serial production systems with Bernoulli machines during transients Abstract: Some asynchronous production systems can never be truly balanced. This phenomenon demands the incorporation of asynchronism and unreliability in buffer allocation problems (BAPs). This paper reports a BAP in an asynchronous serial production system with Bernoulli machines. A profit-based integer programming model is formulated to maximise the throughput and minimise the buffer capacity simultaneously. Because the production run is finite in the current mass customisation environment, a transient analysis is used to estimate the system performance. Piecewise closed-form expressions are derived for a two-machine case based on Markovian structures. For <i>M</i> > 2 machine lines, an efficient recursive algorithm based on aggregation is developed. Considering the nonlinear characteristic of this BAP, a dynamic-objective particle swarm optimisation with neighbourhood searching is developed. This approach is verified by a case from an assembly plant. The results demonstrate that the programming method can increase the system profit by 1.85%. Journal: Int. J. of Industrial and Systems Engineering Pages: 176-204 Issue: 2 Volume: 39 Year: 2021 Keywords: buffer allocation; asynchronous serial production line; Bernoulli machines; transient analysis; dynamic-objective particle swarm optimisation; DOPSO. File-URL: http://www.inderscience.com/link.php?id=118263 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisen:v:39:y:2021:i:2:p:176-204