Forthcoming articles

International Journal of Industrial and Systems Engineering

International Journal of Industrial and Systems Engineering (IJISE)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Register for our alerting service, which notifies you by email when new issues are published online.

Open AccessArticles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Industrial and Systems Engineering (100 papers in press)

Regular Issues

  • Stability Analysis of Asynchronous Switched Positive Systems with Unstable Subsystems   Order a copy of this article
    by Jingjing Hu, Pingping Gu, Huiwen Liu, Dexiang Liu 
    Abstract: This paper investigates the stability problems of asynchronous switched positive systems based on mode-dependent average dwell time method in continuous-time context. While using mode-dependent average dwell time to study the stability of switched systems, each subsystem must be stable, otherwise a state feedback controller should be designed for the unstable subsystem. But in practical application, when the subsystem is activated one by one, it usually takes a period of time to identify which one of the state feedback controllers should be activated, which causes the asynchronisation. Next, in consideration of the difficulty of designing an appropriate state feedback controller for some unstable subsystems, this paper is aimed at obtaining the stability condition of asynchronous switched positive systems with both stable and unstable subsystems.
    Keywords: asynchronization; mode-dependent average dwell time; stabilization; switched positive systems; unstable subsystem.
    DOI: 10.1504/IJISE.2020.10016058
     
  • Optimal Design and Experiment of Multi-row Rolling-style Planting-hole Punch for Rapeseed Plant Seedlings   Order a copy of this article
    by Mingliang Wu, Wei Xiang, Jiangnan Lyu, Lan Ma, Jiajie Liu, Wei Zhou 
    Abstract: In order to realise high-efficiency hole-forming and pursue optimal forming hole parameters which satisfied agricultural requirements for awl-shaped punch transplanter, optimal designed indigenously-developed pure rolling planting hole-forming machine's hole forming mechanism parts. The CAD software was used to graphing method to study the effect of forming planting hole by structural parameters, the numerical simulation method by MATLAB 7.0 software and CATIA software were used to verify the rationality of the hole-forming key parameters optimisation design. Subsequently, prototype trial-production was carried out, followed by field testing. The results showed that forming planting hole opening lengthwise shrank form original 88.8 mm to 72.6 mm, lateral width was 41.2 mm, the effective depth reduced form 58.9 mm to 48.5 mm, qualified radio of forming planting hole reached to 95.1%, which 1.93% higher than the original prototype, which was significant for the provision of technical support for the design of new transplanter.
    Keywords: rapeseed transplanting; planting hole; key components; hole forming mechanism; parameter optimization.
    DOI: 10.1504/IJISE.2020.10025385
     
  • A Social Performance Metrics Framework for Sustainable Manufacturing   Order a copy of this article
    by Rafael Henao, William Sarache, Ivan Gomez 
    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.
    Keywords: social metrics; performance; sustainability; manufacturing social metrics; performance; sustainability; manufacturing.
    DOI: 10.1504/IJISE.2020.10025600
     
  • Analysis of customer’s impatience on bulk service queueing system with unreliable server, setup time and two types of multiple vacation   Order a copy of this article
    by Nirmala Marimuthu, Ayyappan G 
    Abstract: In this investigation, we analyse the customer's impatience on unreliable bulk queueing system with two types of vacation. Depending upon the length of queue, the server is permitted to take two types of vacation called type I vacation and type II vacation. The server is possibly affected by breakdowns and takes considerable time for setup before the repair begins to start. After repair completion, the server will start its remaining service to the batch of customers whose service was interrupted. It could be assumed that the arriving units may be balked from the system when the server is on vacation (type I or type II). By incorporating the supplementary variables technique, the probability generating function of the queue size at an arbitrary and departure time epoch for the designed queueing system are derived. Finally, the stability condition, some performance measures, particular cases are obtained with appropriate numerical illustrations and graphical presentation.
    Keywords: General bulk service; Unreliable server; Two types of Multiple vacation; Setup time and Repair.
    DOI: 10.1504/IJISE.2020.10025822
     
  • Research on Estimation of Equipment Maintenance Duration Based on AHP-FIE Risk Analysis   Order a copy of this article
    by Zhengkun Dai, Lu Yao, Jiandong QIN 
    Abstract: Equipment maintenance duration is an important indicator of equipment maintenance management, and is a key factor to measure the success or failure of a maintenance project. In view of the current situation of inaccurate estimation of equipment maintenance period and frequent changes in schedule, this paper considers the characteristics of many uncertain factors, and studies the estimation of equipment maintenance project duration from the perspective of risk analysis, identifying risk factors and identifying risk factors. Based on the evaluation criteria, the comprehensive evaluation method based on AHP-FIE explores the relationship between risk and construction period, and analyzes through actual cases. The analysis results make reasonable adjustments to the construction period, providing theoretical and practical reference for equipment maintenance duration optimization management.
    Keywords: equipment maintenance; duration estimation; AHP-FIE; risk analysis.
    DOI: 10.1504/IJISE.2020.10026397
     
  • Variable Substitution Integral Method and Its Application for Solving Displacement Curves of Framed Structures   Order a copy of this article
    by Yuguo Zheng, Yu Wang, Xiangshou Xiao 
    Abstract: Considering the great importance of structural displacement curves and the shortcomings of the classical material mechanics approach and the conventional structural mechanics one in this aspect, a general analytical method, the variable substitution integral method whose mechanics concept is very clear, was proposed for solving structural displacement curves of framed structures based on virtual work principle and unit load method. The basic principle of the new method was constructed and compared with the classical material mechanics one. The comparison results show that the application of the proposed approach in examples proves that it fully compensates for the shortcomings of the classical material mechanics method and the conventional structural mechanics one. This new method, which is very simple and practical, can be widely applied to analytically solve displacement curves of various static determinate and indeterminate structures, straight or curved framed structures under kinds of internal forces caused by loads.
    Keywords: structural mechanics; framed structure; displacement calculation; virtual work principle; unit load method; variable substitution integral method.
    DOI: 10.1504/IJISE.2020.10026398
     
  • Design of Travel Route Recommendation System Based on Fast Spark Artificial Intelligence Architecture   Order a copy of this article
    by Xiaolu Wei 
    Abstract: In order to overcome the problems of low accuracy of current system tourism route prediction and poor accuracy of route recommendation, this paper proposes a tourism route recommendation system design based on fast Spark artificial intelligence architecture. For the hardware part, the system module structure is constructed as a way to obtain data. For the software part, firstly, the problem definition of tourism route recommendation is given, secondly, the Markov model is constructed, and finally, the tourism route is excavated. By sorting the transfer probability of tourist attractions, the tourism route can be obtained, and the design of the software part of the system is completed. Through the design of hardware and software of the system, the tourism route recommendation is finally realized. The experimental results show that the proposed system not only has a high accuracy in predicting tourism routes, but also can accurately recommend tourism routes to users.
    Keywords: Fast Spark; Artificial Intelligence Architecture; Travel Route Recommendation; System Design.
    DOI: 10.1504/IJISE.2020.10026399
     
  • Parking Correction Of Strapdown Inertial Navigation System   Order a copy of this article
    by Yan Zhang, Jianzhong Wang 
    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.
    Keywords: Strapdown Inertial Navigation System; Zero Speed Correction; Attitude Angle; Error Equation; Kalman Filtering.
    DOI: 10.1504/IJISE.2020.10033169
     
  • Can Internal Marketing Activities Save Small and Medium Industrial Enterprises in a Tough Economy? Back to the Basics Approach   Order a copy of this article
    by Ghaith M. Al-Abdallah  
    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.
    Keywords: Internal Marketing; Employees Productivity; Small and Medium Enterprises; Industrial Sector; Tough Economy; Developing Countries; Jordan.
    DOI: 10.1504/IJISE.2020.10027354
     
  • Research on Hybrid Energy Hierarchical Coordination Control Method for Grid-connected Micro-Grid   Order a copy of this article
    by Huichuan Liu, Guowen Li, Jingyi Wang 
    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. Provide optimisation objectives 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.
    Keywords: Grid-Connected Micro-Grid; Hybrid Energy; Hierarchical Control; Coordinated Control.
    DOI: 10.1504/IJISE.2020.10027358
     
  • Modeling and Analysis on Bearing Capacity of Asphalt Pavement in dense traffic flow area of urban of Urban   Order a copy of this article
    by Zhongwei Liu 
    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.
    Keywords: Dense Traffic Flow Area; Asphalt Pavement; Bearing Capacity; Model Construction.
    DOI: 10.1504/IJISE.2020.10027361
     
  • Leadership competencies for high performance - a quality system’s perspective   Order a copy of this article
    by Fulufhelo Masithulela, Kemlall Ramsaroop Ramdass, Kgabo Mokgohloa 
    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.
    Keywords: Leadership competencies; systems engineering; organizational leadership; ISO 9000.
    DOI: 10.1504/IJISE.2020.10027446
     
  • Strategic Decisions on the Establishment of an Offshore Warehouse for Manufacturers with an E-Commerce Channel   Order a copy of this article
    by Qiran Wang, Yongzhong Wu, Yongwu Zhou 
    Abstract: While Chinese manufacturers increasingly use e-commerce platforms to sell products to overseas customers, expensive international express delivery is commonly used to meet the short order-to-delivery times. Many manufacturers are considering renting or constructing an offshore warehouse to reduce logistics costs while ensuring fast delivery. Goods are stored in the offshore warehouse and 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 discrete-event simulation model to analyze the dynamics of these decisions; the key variables include the order arrival rate and lead times in the supply chain. The optimal inventory policy (safety stock and replenishment quantity) of the offshore warehouse is obtained via a meta-heuristic method embedded in the simulation model. Experiments and a sensitivity analysis are conducted to evaluate the impact of the key variables on the strategic decisions.
    Keywords: E-commerce; Offshore warehouse; Discrete-event simulation; Order-to-delivery time.
    DOI: 10.1504/IJISE.2020.10027609
     
  • Identifying the Companies’ Bankruptcy Using an Enhanced Neural Network Model; Case Study: Evaluating the Bankruptcy of Iranian Stock Exchange Companies   Order a copy of this article
    by Shahin Ordikhani, Sara Habibi, Ahmad Reza Haghighi 
    Abstract: The purpose of this research is to utilize 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.
    Keywords: Effective Predicting Financial Rates; Bankruptcy; Neural Network; Machine Learnings; Predictive Power.
    DOI: 10.1504/IJISE.2020.10027966
     
  • Modelling and Assessment of the Impact of Supply Disruption and Cost of Recovery using System Dynamics Approach   Order a copy of this article
    by P. Raghuram, G. Harisankar 
    Abstract: Shorter product life cycles and customization 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 focusses 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 recognize and take proactive steps, such as identifying alternate suppliers, making engineering changes and modifying the manufacturing processes.
    Keywords: supply disruptions; inventory; modeling; assessment; system dynamics.
    DOI: 10.1504/IJISE.2020.10027976
     
  • Multi-item single-source (MISS) production quantity model for imperfect items with rework failure, inspection errors, scraps, and backordering   Order a copy of this article
    by Javad Taheri-Tolgari, Abolfazl Mirzazadeh 
    Abstract: In this paper, a multi-item single-source (MISS) production quantity model is studied that includes some practical and realistic attributes. In practice, frequently, both the manufacturing process and screening procedure of a producer are not perfect, hence manufacturing and accepting a part of non-defects and a part of defects. Most of the verified inventory systems with defective quality items, although, have not allocated together such significant realistic or practical conditions including both imperfect item in the manufacturing process and imperfect classifying procedure. Therefore, in this research investigated a cost-minimizing imperfect quality system along with two Types of errors in the inspection process and refund that finds an optimum manufacturing quantity with backorder for the multiple items single machine. Finally, a numerical example is solved by sensitivity analysis to illustrate the practical and realistic applications of the presented methodology.
    Keywords: Multi-item single-source (MISS); Imperfect item; Inspection error; Rework failure.
    DOI: 10.1504/IJISE.2020.10027983
     
  • Network Design for Reverse Logistics Considering Carbon Tax   Order a copy of this article
    by Bandar Alkhayyal 
    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 realized by the A/C unit is 26%, while the amount suggested by the USEPA, $40/ton CO2 equivalent (tCO2e) tax, lessen the profit margin to 19%.
    Keywords: Low Carbon Logistics; Reverse Supply Chains; Circular Economy; Greenhouse Gas (GHG) emissions; Extended Producer Responsibility; Industrial Engineering.
    DOI: 10.1504/IJISE.2020.10027986
     
  • Biodegradable Plastics with Natural Additives as a Replacement for Synthetic Plastics   Order a copy of this article
    by Irene Gabriel, Amal Elhussieny, Marwa Faisal, Giacomo DAngelo, Nesma Aboulkhair, Nicola Everitt 
    Abstract: A massive outburst in the manufacturing of synthetic plastic has occurred due to its availability, durability and low-cost relative to glass, paper and fabric. In order to combat the plastic pollution phenomenon, it is impossible to eliminate the use of disposable plastic products; however, it could be replaced with an eco-friendly substitute. This study presents a comparison between different composite films with natural reinforcements. The matrices and reinforcements were produced from chitosan extracted from shrimp shells waste and rice straw waste, respectively. Experimental and statistical analysis were performed to define the most desirable filler type and concentration with respect to physical, biological, mechanical and thermal properties. Experimental results showed that the mechanical, thermal, and biological properties of the chitosan (and nano chitosan) films were improved by the addition of 25 wt. % and 35 wt. % of rice straws and nano rice straw fibres.
    Keywords: Nanotechnology; fillers; composites; sustainability; valorisation; natural polymer.
    DOI: 10.1504/IJISE.2020.10028532
     
  • Stability Analysis Of Cross-Section Of Double-Row Large-Diameter Pipeline Based On Bim Technology   Order a copy of this article
    by Wen-bo WANG 
    Abstract: For X80 pipeline with 1219mm diameter as the representative, an analysis method of the pipeline cross-section stability based on BIM technology is proposed in this paper. According to the basic theory of pipeline cross-section stability, the influence factors of pipeline cross-section instability are analyzed. According to the requirement of the stability check, the criterion for the stability of the cross-section of the double-row large-diameter pipeline under the pressure of external load is determined. The dynamic response and deformation law of the cross-section of the double-row large-diameter pipeline under the impact of rockfall are analyzed by ABAQUS software and BIM Technology. The stress-strain response of the cross-section is obtained. The reasons of the pipeline cross-section instability have been clarified, which provide some reference for the pipeline construction and protection.
    Keywords: BIM technology; double-row; large-diameter pipeline; cross-section; stability.
    DOI: 10.1504/IJISE.2020.10028535
     
  • Simulation Analysis On Continuous Collapse Resistance Of Assembled Building Structure Under Multi-Dimensional Earthquake   Order a copy of this article
    by Wei Sun, Yi Cui 
    Abstract: In order to provide reference for seismic research in related engineering design and enhance the continuous collapse resistance performance of building structures, the simulation analysis on continuous collapse resistance of assembled building structures under multi-dimensional earthquake is carried out. Taking the 5-story assembled building structure as the research object, the researched assembled building structure was modeled by SAP2000, and the load-time variable was defined and assigned to simulate multi-dimensional seismic waves. The simulation analysis on the continuous collapse resistance of building structures during the failure of the diagonal column, the long-side middle column and the internal column showed that under the multi-dimensional earthquake, the failure of the structural column had a great influence on the direct supporting beam, and the whole building structure appeared to a certain extent continuous collapse.
    Keywords: multi-dimensional earthquake; assembled building structures; resistance to continuous collapse.
    DOI: 10.1504/IJISE.2020.10028538
     
  • Sudden Risk Predication Model of Construction Supply Chain Based on Data Mining   Order a copy of this article
    by Jinrong Nie 
    Abstract: In order to improve the accuracy and capability of quantitative evaluation to sudden risks of the construction supply chain and effectively guide the prevention of them, a sudden risk quantitative evaluation and predication model of the construction supply chain 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 can provide relatively high accuracy in predicating sudden risks of the construction supply chain and has relatively good global convergence and optimisation ability in predication.
    Keywords: Data mining; the construction supply chain; risk predication; feature extraction; regression analysis.
    DOI: 10.1504/IJISE.2020.10028547
     
  • Study On Design Of Interior Lighting System For Office Buildings With Large Windows   Order a copy of this article
    by Xing-gang ZHANG  
    Abstract: In this paper, an interior lighting system is designed for the building based on PLC. The hardware of the system focuses on the design of the interior environment light acquisition unit, human body signal acquisition unit, watchdog unit, and demodulation unit to achieve overall system monitoring and signal controlling of hardware operation. The software of the system repeatedly invokes the subroutine through the main program to execute the commands issued by the upper computer to complete the control of the overall system operation. Experiments show that the average energy consumption of the system is 50J, and the average reaction time is 0.2s, and the maximum operating stability coefficient is 0.9. The system can reduce the energy consumption and reaction time of lighting operation, improve the system operation stability, and provide scientific support for the development of this field.
    Keywords: large windows; office buildings; interior lighting systems; design.
    DOI: 10.1504/IJISE.2020.10033090
     
  • Mechanical & Physical Behaviour of 3D Printed Polymer Nanocomposites-A Review   Order a copy of this article
    by Mir Irfan Ul Haq, Ankush Raina, Aysha Farzana Kichloo, Ruttba Aziz 
    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 favorable 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 Modeling 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.
    Keywords: 3D printing; Nanocomposites; Polymers; Mechanical Testing; Product Development; Fused Deposition Modelling.
    DOI: 10.1504/IJISE.2020.10028678
     
  • Research on Collaborative Distance English Teaching System Based on Mobile Cloud Computing   Order a copy of this article
    by Xiaozhen Shi, Lei Hou, Dunn Wang 
    Abstract: In order to overcome 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. In the hardware part of the system, USB-to-JTAG device is used to download files, and the reverse direction principle is used to upload English teaching resources. The software part of the system is built with the structure of Yangtze River. Virtual teaching places and video voice teaching methods are established to achieve long-distance synchronous teaching. The experimental results show that the success rate of the cooperative distance English teaching system based on mobile cloud computing is 98.2%, and the robustness of the teaching system is 94.5%, which are obviously higher than the traditional methods. It proves that the proposed method has better reliability and is more suitable for English teaching system.
    Keywords: Mobile Cloud Computing; Collaboration; Distance Learning; English Teaching.
    DOI: 10.1504/IJISE.2020.10028679
     
  • Simulation Research on Active Control of Low Frequency Modal Vibration of Double-Joint Flexible Manipulator   Order a copy of this article
    by Laoxiang Liu 
    Abstract: In order to solve the problem of low control precision and high noise in the traditional vibration control method of manipulator, the active control method of low-frequency modal vibration of double-joint flexible manipulator is proposed. In this method, the finite element equation and modal technology are used to construct the dynamic model of the double-joint flexible manipulator and distinguish the low-frequency mode from the high-frequency mode. Then, the low-frequency mode of the dynamic model is transformed into the state-space equation based on the state variable. The simulation results show that the position errors of the elastic displacement in X and Y directions of the slave arm and the center of the mobile platform under the control of the proposed method in this article are all less than 0.02mm compared with those failure to implement control.
    Keywords: double joint; flexible manipulator; low frequency; modal vibration; active control; simulation.
    DOI: 10.1504/IJISE.2020.10028680
     
  • Deployment of the Taguchi technique for surface roughness optimisation   Order a copy of this article
    by Ismail W. R. Taifa, Vivek A. Deshpande, Nesredin Chekole Deresse 
    Abstract: The aim is to investigate the machining parameters that are important to optimise surface roughness (Ra) 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 L9 orthogonal array. Minitab® and Microsoft® Excel 2016 generated results after applying the design of experiment. The Ra 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 Ra was found to be DOC as it contributed to 45.3% and 58.6% before and after heat treatment processes, respectively.
    Keywords: optimisation; Taguchi methods; surface roughness; cylindrical grinding operation; grinding process; EN45 steel material; ANOVA; affinity diagram; design of experiment; orthogonal array.
    DOI: 10.1504/IJISE.2020.10028682
     
  • A non-radial approach to improve the interval cost efficiency score in DEA   Order a copy of this article
    by Simin Tohidnia, Ghasem Tohidi 
    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.
    Keywords: Data envelopment analysis; cost efficiency; interval data; ideal input vector; non-radial model.
    DOI: 10.1504/IJISE.2020.10028929
     
  • Optimization of Total supply chain cost of Multi-Echelon system in Leagile network under probabilistic Demand   Order a copy of this article
    by ADAM NAGA PHANEENDRA  
    Abstract: In the 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 minimizing 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.
    Keywords: Inventory management; order quantity; Novel Self-adaptive Harmonic Search (NSHS).
    DOI: 10.1504/IJISE.2020.10028934
     
  • Solution Approaches for Multi-workday Vehicle Routing Problem with Manual Unloading   Order a copy of this article
    by Tarit Rattanamanee, Suebsak Nanthavanij, Aussadavut Dumrongsiri 
    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 workload-constrained, 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.
    Keywords: Vehicle routing problem; multi-workday planning; physical workload balancing; worker-vehicle pre-assignment.
    DOI: 10.1504/IJISE.2020.10028941
     
  • Remaining Useful Life Estimation by Stochastic Markov Model and Monte-Carlo Simulation   Order a copy of this article
    by SMRITI MISHRA, PRASHANT BHARDWAJ 
    Abstract: Estimation of remaining tool life is important in planning condition based maintenance program and helps us by preventing any production loss. The paper proposes a method to obtain Remaining Useful Life (RUL) Estimation of a single point turning tool using stochastic Markov method. In this experiment mild steel work piece is machined for a constant length on lathe machine by high speed steel tool and flank wear width for different number of passes of tool over work piece is recorded for constant feed, speed and depth of cut up to failure. A state based model is developed considering four gradually degraded stages of the tool. The rate equations are derived for the four state Markov model representing the change of the state probability with respect to time for each state which is solved by Runge-Kutta method by using MATLAB software. The analytical results are verified by Monte Carlo Simulation.
    Keywords: Cutting tool; Prognosis; MTTF.
    DOI: 10.1504/IJISE.2020.10028947
     
  • Material selection for design of powered hand truck using TOPSIS   Order a copy of this article
    by Aditya Patil, Bhushan Adavadkar, Harsh Chhatriwala, Mohit Keswani, Sachin Chede 
    Abstract: Selection of materials in engineering design have vital role. Choice of relevant material for particular product is 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 attributes as 5 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. As per the analysis AISI 1020 is more suitable material and hence chosen for designing and fabrication of powered hand truck.
    Keywords: material selection; MCDM; TOPSIS method; Weightage calculation; Entropy method.
    DOI: 10.1504/IJISE.2020.10028965
     
  • Assessment of human and system related barriers during implementation of Green Leagile Six Sigma (GLSS) in Indian manufacturing industries   Order a copy of this article
    by NAVEEN VIRMANI, Urmi Ravindra Salve 
    Abstract: There is a radical change at level of competition during past few years in manufacturing industries. Today, the customer desire high quality products at economical price and that too in minimum span of time. So, it is required for industries to adopt manufacturing strategies in compliance with customer requirements and preferences. Also, there is a need of using greener technologies to manufacture products. Therefore, it is imperative to produce economical products quickly while maintaining quality norms (ISO, OHSAS etc). Industries are required to adopt state-of-art technology, methods and research strategies to compete in the global market. In this paper, concept of Green Leagile Six Sigma has been discussed and human factors and system related barriers had been identified through literature review. Exploratory factor analysis (EFA) technique used to categorize the attributes into constructs. Also, Confirmatory factor analysis (CFA) was used for model fit.
    Keywords: GLSS; Agile; Green; EFA; CFA; Lean; Six Sigma.
    DOI: 10.1504/IJISE.2020.10029483
     
  • Demand-Supply Planning and Sustainability Aspect for Agro-based Perishables in Cold-chain   Order a copy of this article
    by AMAN BHATNAGAR, Prem Vrat, Ravi Shanker 
    Abstract: The primary objective of this paper is to: (i) determine the optimum storage requirements for agro-based perishables using production and distribution planning model to absorb the demand fluctuations in an economic manner, encouraging inter-state transportation of perishables so that available infrastructure is utilized efficiently, (ii) determine the cost variation along the potato value chain from farm to fork (iii) analysing the cost of building cold storage, (iv) focus on the sustainability aspect of cold-chain in order to have better utilisation of the cold storages and logistics, thereby reducing food loss and carbon footprints (v) determine the payback period of the investment made, Profit & Loss (PnL), Un-discounted rate of return, Earnings before interest, taxes, and amortization (EBITA) Margins, Profit After Tax (PAT), projected balance sheet and depreciation schedule.
    Keywords: cold-chain; cold storage; potato value chain; inter-state trade; transportation; logistics distribution and perishable agri-value chain.
    DOI: 10.1504/IJISE.2020.10029563
     
  • Production Lead Time Improvement through Lean Manufacturing   Order a copy of this article
    by Sisay Geremew Gebeyehu, Amdework Gochel, Muluken Abebe 
    Abstract: The aim of this research was to improve the production lead time by minimizing different wastes which does not add value on final product. First, the current production floor and layout has been studied and mapped using Value Stream Mapping and Spaghetti Diagram is applied to identify manufacturing wastes. Next, lean manufacturing techniques have been deployed to improve the bottleneck areas. The result shows that production lead time was reduced by 23.66%, process cycle efficiency was improved 8.6%, Work in Process (WIP) time reduced by 25.59%, non-value adding time (waiting time) reduced by 37.74%, total distance traveled reduced by 61.2% and the number of workers reduced by 9. Finally, it was concluded that the research has significant benefit for Hibiret Manufacturing & Machine Building Industry (HMMBI) and similar manufacturing industries.
    Keywords: Lead time; lean manufacturing; value stream map.
    DOI: 10.1504/IJISE.2020.10029891
     
  • A maintenance optimization approach based on genetic algorithm for multi-component systems considering the effect of human error   Order a copy of this article
    by Hagag Maher, Mohamed F. Aly, H. Afefy Islam, Tamer Abdelmaguid 
    Abstract: The total maintenance cost can be reduced by grouping maintenance actions of several components. This paper contributes to the existing literature by introducing an enhanced maintenance optimization approach that considers the effect of maintenance crew loading due to grouping on the maintenance decisions of multi-component systems. A modified mathematical model is firstly developed for evaluating the failure probability function of each component, the remaining useful life and the maintenance cost. Economic and structural dependencies are taken into consideration. A simulation is secondly implemented to provide estimates of the associated costs with changes in the decision variables. Using the simulation model, an optimization approach based on a genetic algorithm is thirdly developed to minimize the long-term mean maintenance cost per unit time. Computational results show that the proposed maintenance optimization approach provides considerable maintenance cost savings and emphasizes the importance of considering the effect of maintenance crew constraints in maintenance scheduling.
    Keywords: Maintenance grouping; multi-component systems; genetic algorithm; maintenance human constraints; maintenance process simulation.
    DOI: 10.1504/IJISE.2020.10030489
     
  • Buffer allocation in asynchronous serial production systems with Bernoulli machines during transients   Order a copy of this article
    by Hongwei Liu, Wenchong Chen, Ershi Qi 
    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 maximize the throughput and minimize the buffer capacity simultaneously. Because the production run is finite in the current mass customization 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 M > 2 machine lines, an efficient recursive algorithm based on aggregation is developed. Considering the non-linear characteristic of this BAP, a dynamic-objective particle swarm optimization with neighborhood 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%.
    Keywords: Buffer allocation; asynchronous serial production line; Bernoulli machines; transient analysis; dynamic-objective particle swarm optimization.
    DOI: 10.1504/IJISE.2020.10030579
     
  • Robust Simultaneous Lot-sizing and Scheduling with considering Controllable Processing Time and Fixed Carbon Emission in Flow-shop Environment   Order a copy of this article
    by Mehdi Bijari, Milad Mirnajafi Zadeh 
    Abstract: A new robust model is presented for simultaneous lot-sizing and scheduling problem in a flow-shop environment with controllable processing time in this study. In view of the importance of carbon emissions in green production, this model takes account of limitations in this respect. Different speeds of machines can also affect production, back order, inventory holding costs, scrap rates, as well as carbon emissions. In the present study, a new model is proposed under certainty and uncertainty. In order to deal with uncertainty, robust optimization is employed. The robust model in this study is in non-deterministic polynomial-time (NP) hardness complexity class; therefore, a total of five heuristic algorithms are introduced based on Fix-and-Relax (F&R) and Fix-and- Optimize (F&O) approaches to solve larger instances. In conclusion, the results obtained from the algorithms based on F&O are given higher quality solutions compared with those based on F&R heuristic.
    Keywords: Simultaneous Lot-Sizing and Scheduling; Controllable Processing Time; Carbon Emission; Robust Optimization; Fix and Optimize.
    DOI: 10.1504/IJISE.2020.10030630
     
  • Optimal Pricing for Ride Sharing   Order a copy of this article
    by XIANGYING CHEN, Yongzhong Wu, Yuxin Lu, Yongwu Zhou 
    Abstract: The ride sharing business has developed rapidly in recent years. The pricing of the ride sharing service is critical for the profitability of the operators. Pricing too high may reduce passenger demand, and hence increase detours and distance, while pricing too low may reduce the revenue. In order to analyze the dynamics of optimal pricing, a mathematical model is developed to maximize the total profit.In the model, the higher-level pricing decision depends on the lower-level order assignment and routing problem.Numerical experiments with the model show that the operator does not necessarily benefit from providing the ride sharing option. The pricing of ride sharing is critical for profitability. When the total travel demand is high (e.g., in peak hours), the operator should adopt a lower relative pricing in order to maximize profit.
    Keywords: Ride sharing; optimal pricing,vehicle routing problem; choice model; order assignment.
    DOI: 10.1504/IJISE.2020.10030703
     
  • Robust Design Optimization of Cutting force and Material Removal Rate in thread turning process   Order a copy of this article
    by Suraj Rane, Amar Dalvi, Sujay Kharat, Raheel Kittur 
    Abstract: Thread Cutting is a most commonly used method of producing threaded components in small scale industries. Literature review revealed that enough research is not undertaken in optimization in thread turning, in spite of it being a widely used method of producing threads. The present work highlights a case from a small scale organization, manufacturing hexagonal headed bolt with high accuracy in lean environment. The objective was to optimize Cutting Force and Material Removal Rate, which were indicators of power consumption and productivity, respectively. To obtain optimal levels of input parameters using less number of components, Robust Design Methodology was used. The input parameters studied are cutting speed, depth of cut and infeed angle, in external thread turning of Mild Steel. The optimum level of each input variable was found out for minimum cutting forces generated and maximum material removal rate. Significant improvement in power savings and productivity was observed.
    Keywords: Thread turning; Cutting forces; Material removal rate; Robust Design; Taguchi method; ANOVA; Orthogonal array; Signal-to-Noise Ratio; Cutting speed; Depth of cut; Infeed angle.
    DOI: 10.1504/IJISE.2020.10030841
     
  • Simulation modeling for performance optimization of the skimmed milk powder production system of a dairy plant   Order a copy of this article
    by Anil Kr. Aggarwal  
    Abstract: The purpose of this paper is to deal with the simulation modelling and performance optimisation for the skimmed milk powder production system of a dairy plant using genetic algorithm (GA). This analysis is based on Markov birth-death process, the mathematical formulation of the system is carried out to derive first order Chapman-Kolmogorov differential equations by assuming that the failure and repair rate of each subsystem follows exponential distribution. The proposed method is used to compute long run availability using normalising condition, initial boundary conditions and recursive method. It provides the optimum system availability level for different combinations of failure and repair rates parameters of the subsystems of the skimmed milk powder production system of a dairy plant concerned. The results are presented and discussed with the plant personnel to adopt and practice suitable maintenance policies/strategies to enhance the productivity and quality of skimmed milk powder production system of the dairy plant.
    Keywords: Markov process; Markov modelling; Chapman-Kolmogorov differential equations; long run availability; performance optimization; skimmed milk powder production system.
    DOI: 10.1504/IJISE.2020.10030843
     
  • Locating warehouses shared by retailers for fast-fashion products considering consumers’ waiting cost   Order a copy of this article
    by Zhi-hua Hu 
    Abstract: This study developed and formulated a strategy based on warehouses shared among retailers for fast-fashion products retailing. The requested products are delivered from a nearby warehouses shared by several retailers. However, the consumers’ waiting times decrease the service satisfaction and still have the risk that the delivered products were not accepted by consumers. The numerical results demonstrate that the waiting cost is affected by travelling times, delivery cost, fixed cost for shared warehouses, and the waiting cost function of time, whereas the profit is mainly affected by product gross profit, discount compensated to consumers for waiting, the unmet ratio after the requested products are delivered to the retailer, and the variable cost of handing and storing products. The consumers waiting at the retailers are impacted by the loss of waiting times. Simultaneously, the retailers take a loss when the delivered products are not suitable for the consumers.
    Keywords: Logistics management; fast fashion; warehouse; retailing; waiting cost.
    DOI: 10.1504/IJISE.2019.10030844
     
  • Stochastic analysis of an imperfect production-inventory system with consideration of random machine breakdown, rework, inspection, and environmental emissions   Order a copy of this article
    by Rubayet Karim, Koichi Nakade 
    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. The objective is to determine the optimal rate of production and to examine the impact of emission penalty cost along with other costs on the production rate and on the long-run average cost of a manufacturing system. First, using the renewal reward theorem, a model is formulated by considering a penalty cost for emission. Next, another model is developed by extending the previous model to account for the circumstances where the manufacturing system does not incur an emission penalty cost. The developed models are examined numerically and compared.
    Keywords: production-inventory model; defective items; environmental emission; machine breakdown; rework; inspection; Renewal reward theorem.
    DOI: 10.1504/IJISE.2020.10030845
     
  • Production quality improvement for the soft drinks bottling industry through six sigma methodology   Order a copy of this article
    by Ismail W. R. Taifa, George S. Mwaluko, Ebenezer Dawson Makundi 
    Abstract: Increase of rejection rate (percentage) in the production process of soft drinks is one of the chronic problems in industries. Over four months, the production rejection rate (PRR) increased up to 12.62%. This resulted in an estimated loss of 93,412,800 Tanzanian Shilling (TZS) at X-Company. Therefore, this study explored how to improve the quality of production in the manufacturing process of the Tanzanian soft drinks industry. The Six Sigma methodology - DMAIC (“define-measure-analyse-improve-control”) - was employed. DMAIC considers existing products, process and improves the same. An in-depth insight into PRR and speed of acquiring such insight while increasing the problem diversification was successfully performed. Still, soft drinks companies face high PRR. The critical reasons occur during bottle filling and crowning operations. The sigma level was found to be 4.9 with the cost of poor quality being 12.62%. This study achieved a potential annual saving of 280,238,400 TZS.
    Keywords: Six Sigma; six sigma methodology; DPMO; DMAIC; quality improvement; continuous improvement; production rejection rate; soft drinks; bottling industry; manufacturing rejects.
    DOI: 10.1504/IJISE.2020.10030896
     
  • An analytical study on establishing strategies for improving the productivity of the spinning industries   Order a copy of this article
    by Ismail W. R. Taifa, Ibrahim Joseph Mwasubila, Beatus A. T. Kundi 
    Abstract: Strategies for improving the productivity of the spinning industries are much needed. In this paper, a case of a spinning industry was systematically studied. The strategies for enhancing productivity were established through a mixed approach. The studied industry experienced low productivity as they were only achieving 55%68% of their production plan. Also, their actual operational machine availability was 67%. The proposed strategies include improving the spooling and the drawing process by installing new machinery technology; improve raw materials and components flow; hiring well-trained workers; develop employee training programs; search for new market segments; establish effective information and communications technology section, and develop an implementable maintenance plan. The study also revealed that system dynamics modelling helps to arrange descriptive information analytically. Thus, Vensim software was applied to illustrate the 2 I.J. Mwasubila et al. differences between productivity, specifically before and after implementing the established strategies. The study considered only a single industry and single-factor productivity measures.
    Keywords: productivity improvement; productivity index; single-factor productivity; multifactor productivity measures; strategies; competitive strategy; system dynamics; Vensim software; spinning mill.
    DOI: 10.1504/IJISE.2020.10030901
     
  • Optimization of multiobjective supply chain networks considering cost minimization and environmental criteria   Order a copy of this article
    by John Wilmer Escobar, Natalia Segura Rosas, Juan Camilo Paz Roa 
    Abstract: This article considers the optimisation problem of a multi-objective mass-consumption supply chain network considering cost minimisation and environmental criteria, as well as the analysis of scenarios with variable demand. This study seeks to determine the closure and consolidation of distribution centres and the identification of product flows in the network. The efficiency of the mathematical model has been tested with real information obtained from a Colombian multinational company manufacturing products of mass-consumption. The results confirm the efficiency of the model and its positive impact on determining the environmental impact of gas emissions related to the type of transportation used and the appropriate cost for the case study company.
    Keywords: Network Optimization; Multiobjective Mathematical Model; Total Cost; Environmental Impact; Logistics; Scenario Analysis.
    DOI: 10.1504/IJISE.2020.10030916
     
  • Vulnerability Evaluation of High-rise Earthquake-proof Buildings in High-pressure Area   Order a copy of this article
    by Lilin Wang 
    Abstract: Traditional structural vulnerability analysis neglects the structural mode of earthquake-proof buildings and the role of isolation layer, and there are some deviations in the results of vulnerability evaluation of high-rise earthquake-proof buildings. Therefore, the structural vulnerability evaluation of high-rise earthquake-proof buildings is studied, and the structural vulnerability evaluation method of high-rise earthquake-proof buildings in high-pressure areas based on fuzzy comprehensive evaluation is proposed. Tthe relationship between magnitude and intensity, and the law of intensity attenuation are analyzed, and the differences between traditional earthquake-proof building structure and isolation layer structure are compared; Combining with the method of fuzzy comprehensive evaluation, the vulnerability of building structure is calculated and evaluated according to the fuzzy relation matrix between evaluation index and vulnerability level as well as the index weight coefficient matrix. The experimental results show that the evaluation performance of the proposed method is better than that of the experimental comparison method.
    Keywords: high-pressure area; high-rise building; earthquake-proof structure; vulnerability; evaluation.
    DOI: 10.1504/IJISE.2020.10031179
     
  • Agent-Based Heuristics Model for Measuring Customer Disruption Impact on Production and Inventory Replenishment   Order a copy of this article
    by Ammar Al-Bazi, Tunde Adediran 
    Abstract: Agent-based simulation approach in production and inventory environment is capable of responding and adapting to disruptions caused by customers’ changing requirements. The impacts of disruptions in production and inventory systems can be measured through learning and decision-making ability of system agents. In this paper, agent-based modelling integrated with heuristic optimisation approach is presented as embedded within a scheduling and rescheduling framework. The proposed approach is implemented in a disrupted OEMs parts manufacturing system. The integration of the framework modules in connection with inventory control helped production planners to manage disruptions by tracking order processing times and quantities and for performance measurement. The proposed approach is compared with the few existing related methods like the sequential method. The proposed approach not only revealed the impact of disruptions in terms of process times and order quantities but offered 'available times' which were applied for production support and inventory replenishment. This demonstrates a valuable and viable resolution strategy responding and adapting to disruptions caused by customers.
    Keywords: Customer Disruption Impact; OEM Environment; Production scheduling; Inventory Replenishment; Agent-Based Simulation; Heuristics Optimisation.
    DOI: 10.1504/IJISE.2020.10031323
     
  • An overview of industry 4.0 in manufacturing industries   Order a copy of this article
    by Dheeraj Nimawat, B. Gidwani 
    Abstract: In the current scenario, manufacturing industries are rapidly moving towards customized production from mass production to meet the current market competition. Industry 4.0 prompts the digitalization time. Industry 4.0 emphasizes intelligent products, potential customers, and change of industrial machine suits. It is interconnected inside the advanced and innovative view with the comparing virtual portrayal. Industry 4.0 inventiveness has engaged an impressive concentration of industries and researchers. This paper comprises study of 164 reputed research papers and addresses evolution of Industry 4.0, key technologies, initiatives by various nations in this era, review of empirical analysis on Industry 4.0, and presented future scope in the area of Industry 4.0 regarding survey of barriers to adopt Industry 4.0, maturity of Industry 4.0 concept and impact of key technologies of Industry 4.0 in the today’s scenario. This paper will help to the existing and future industries, and researchers in the context of Industry 4.0.
    Keywords: Industry 4.0; Big Data; Autonomous Robots; Simulation; Additive Manufacturing; Industrial Internet of Things; Augmented Reality; Cyber Physical Systems; Fourth Industrial Revolution.
    DOI: 10.1504/IJISE.2020.10031375
     
  • BEHAVIOURAL INVENTORY MANAGEMENT: A NEW APPROACH TO INVENTORY CLASSIFICATION BASED ON STOCK-INDUCED CONSUMPTION INDEX   Order a copy of this article
    by Neeta Sharma, Prem Vrat 
    Abstract: This paper presents an analysis of exploratory survey conducted to investigate the consumers’ perception by using the instrument of structured questionnaire about stock-induced consumption of various commodities which would invariably result in resource wastage. The intended outcome of this survey is to find out the stock-induced consumption index of these commodities which exhibit behavioural tendencies of different consumers. This would eventually be used by inventory control practitioners to estimate the shape parameter (?) of these commodities because parameter estimation is identified as the major limitation resulting in poor applicability of the stock-dependent demand inventory models. In addition, this paper attempts to classify these commodities on the basis of their high, medium and low potential for stock-induced consumption (HML analysis) to facilitate use of resources to their maximum efficiency by concentrating on items having the greatest potential for wasteful consumption. Perishability is considered as one of the driving forces in stock-induced consumption
    Keywords: stock-dependent demand; stock-induced consumption index; perishability index; HML analysis; behavioural inventory management.
    DOI: 10.1504/IJISE.2020.10031937
     
  • Minimizing Makespan of Batch Processing Machine with Unequal Ready Times   Order a copy of this article
    by Leena Ghrayeb, Shanthi Muthuswamy, Purushothaman Damodaran 
    Abstract: This research considers scheduling a single batch processing machine at a contract electronics manufacturer. The processing times, ready times and the sizes of the jobs are given and the total size of the batch should not exceed the machine capacity. The batch ready time is equal to the latest ready time of all the jobs in the batch. The objective is to minimize the makespan. The commercial solver used to solve the mathematical formulation proposed requires long run times. Consequently, several heuristics and lower bounding procedures are proposed. Through an experimental study, it is shown that one of the lower bounds is within 40% of the best known integer solution from CPLEX for the 200-job instances. The heuristics are very effective in finding good quality solutions with short run times. For smaller problem instances, the quality of the heuristic solution is within 10% of the best known solution from CPLEX.
    Keywords: Batch Processing Machine; Scheduling; Makespan; Heuristics; Lower bound.
    DOI: 10.1504/IJISE.2020.10032044
     
  • A Simulated Annealing Approach to Minimize Makespan in a Hybrid Flowshop with a Batch Processing Machine   Order a copy of this article
    by Santha RajaKumari Upadhyayula, Shanthi Muthuswamy, Purushothaman Damodaran 
    Abstract: A two-stage hybrid flowshop with a batch processing machine (BPM) in stage 1 and a set of discrete processing machines in stage 2 is considered in this research. Job sizes and their processing times are given. The BPM can process multiple jobs simultaneously as long as the total size of all jobs does not exceed its capacity, and the processing time is dictated by the longest processing job in the batch. In stage 2, the jobs have to be processed one at a time. The objective is to minimise the makespan. As the problem under study is NP-hard, a simulated annealing (SA) algorithm was designed. A mathematical formulation was also developed and a commercial solver was used to solve the problem instances. An experimental study was conducted to compare SA with the solver. The study highlights the efficiency of SA in solving larger problem instances with good quality solution in shorter computational time.
    Keywords: batch processing machines; BPMs; scheduling; hybrid flowshop; simulated annealing; makespan; heuristics.
    DOI: 10.1504/IJISE.2020.10032492
     
  • A multi-strategy integration Pareto based artificial colony algorithm for multi-objective flexible job shop scheduling problem with the earliness & tardiness criterion   Order a copy of this article
    by Boxuan Zhao, Jiao Zhao, Yulei Gu, Jingshuai Yang 
    Abstract: This paper studies the multi-objective flexible job shop scheduling problem with the earliness and tardiness (E&T) criterion, explores the decoding and search strategies of algorithms under the coexistence of the mean E&T and makespan, and provides a makespan-constrainted three-phase decoding mechanism and local search strategies for both of them. Referencing to the flexibility of the artificial bee colony algorithm framework, multiple strategies are integrated properly in the algorithm to realise simultaneous optimisation of regular and irregular objectives. Through testing six benchmark instances of different scales with tight or loose delivery time for jobs, the distribution characteristics of the Pareto optimal solution set of the collaborative optimisation of the mean E&T and the makespan are explored. The proper integration of various search strategies can make the proposed algorithm have better performance.
    Keywords: flexible job shop scheduling; just-in-time delivery; earliness and tardiness; E&T; multi-objective; artificial bee colony.
    DOI: 10.1504/IJISE.2020.10032843
     
  • Applying cross efficiency evaluation methods for multi-objective emergency relief supply chain network model   Order a copy of this article
    by Jae-Dong Hong 
    Abstract: This paper studies a multi-objective emergency relief supply chain network (ERSCN) model, which would play a critical role in providing disaster relief items in time Data envelopment analysis (DEA) method is applied to identify efficient ERSCN schemes among the proposed schemes To overcome the weakness of the traditional or classical DEA method, a cross-efficiency (CE) evaluation method was proposed to improve DEA’s poor discriminating power But the original CE method also reveals its own weaknesses. So, the three CE methods, called Aggressive, Benevolent, and Neutral methods, are proposed to complement the shortcomings of DEA and CE DEA methods. This paper proposes a process of applying these CE evaluation methods in DEA for designing the ERSCN system Through a case study, the applicability of the proposed process is demonstrated, and it performs well regarding identifying the efficient ERSCN systems and can be used as an important tool to design various supply chain network schemes efficiently and effectively.
    Keywords: Data Envelopment Analysis; Cross Efficiency Evaluation; Emergency Supply Chain Network.
    DOI: 10.1504/IJISE.2020.10033187
     
  • A Novel Urban Road Management System Based On Data Mining   Order a copy of this article
    by Guanlin Chen, Jiapeng Shen, Min Li, Min Jiang 
    Abstract: With the accelerating process of urbanization in China, new problems and challenges have also emerged in the management of urban roads. In order to apply the data analysis technology to the above problems, we propose a combined forecasting model which can help us to forecast the number of daily cases that will happen in a region over the next few days. Our experimental results show that this model has better predictive ability than other models and can be applied to a variety of situations. What’s more, in order to apply the model to real life, we also develop a novel urban road management system(NURMS) which realizes some useful functions such as prediction of the number of daily cases, inquiry of daily cases, and statistical analysis of historical data. We believe our work will bring effective data support to the management of urban roads.
    Keywords: data mining; SVR; BP; ARIMA; urban road management.
    DOI: 10.1504/IJISE.2020.10033539
     
  • Social Commerce Constructs and Consumers' Purchase Intention from Minimalist Brands   Order a copy of this article
    by Hadi Zare, Zhan Su, Hooman Abdollahi 
    Abstract: The social media and online communities have established new platforms for e-commerce by engaging both consumers and corporations in producing new product or services. Moreover, individuals interaction on the cyberspace has evolved e-commerce towards social commerce. On the other hand, business incorporations have found the use of minimalism application in designing, which removes unnecessary aspects, attracts more audience. Therefore, drawing on literature the authors propound a new adopted model to portray a more transparent vision of social commerce. To examine the relationships among the model constructs, an empirical study was organised for this purpose, a survey was designed. In doing so, SEM methodology structural equation modelling (SEM) has been used with Smart PLS 3 software in order to confirm or reject assumptions in the present study is employed to gauge the proposed model.
    Keywords: Social Commerce Construct; trust; Purchase Intention; Minimalist Brand; Brand loyalty.
    DOI: 10.1504/IJISE.2020.10033667
     
  • Research On Operation And Maintenance Management Risk Assessment Of Power Communication Network Based On Dematel   Order a copy of this article
    by Youxiang Zhu, Anqi Tian, Zhenyu Lu, Si Jie Zhan, Xiaoyong Wang 
    Abstract: In order to overcome the low accuracy problem of operation and maintenance risk assessment of power grid communication network, this paper proposes a method for operation and maintenance management risk assessment of power communication network based on DEMATEL, which describes the pedigree, business bearing and network association, and analyzes the pedigree of power communication network based on DEMATEL from the perspective of the whole network and subnet, to obtain the point what should be paid attention to in the process of risk assessment. The experimental results show that the accuracy of risk assessment method is close to 100%, and the failure rate is less than 3%, which improves the early warning rate, so that the accuracy of risk assessment, risk assessment rate and early warning rate of operation and maintenance management of power communication network have been improved.
    Keywords: DEMATEL; Power communication network; Operation and maintenance; Risk assessment.
    DOI: 10.1504/IJISE.2020.10033800
     
  • Conceptual design of Ergonomic Food truck using QFD-GRA-DSM Hybrid methodology   Order a copy of this article
    by K.G. DURGA PRASAD, P. KRISHNA MURTHY, Ch. HIMA GIREESH, K.D.S. SRAVANI 
    Abstract: As the competition among the food truck business entrepreneurs is growing rapidly in India, food truck owners have to capture the tastes of the consumers from time to time, maintain trained staff for food preparation, create healthy, hygienic environment, ensure quality in service etc. In addition to these, the effective utilization of limited kitchen space to meet all the requirements is essential. In this context, ergonomic intervention in designing kitchen space of the food truck is one of the prime considerations. In this paper, a methodology is developed by using Quality Function Deployment (QFD), Grey relational analysis (GRA) and Design structure matrix method (DSM) for conceptual design of ergonomic food truck with a view to deploy the requirements of users in to the design of kitchen portion of the food truck. The proposed methodology is demonstrated through a case study in this paper.
    Keywords: conceptual design of a product; ergonomics; ergonomic food truck; quality function deployment; grey relational analysis; design structure matrix method.
    DOI: 10.1504/IJISE.2020.10033802
     
  • Resonant Automotive Suspension Device Detection Bench Based on Fuzzy Comprehensive Recognition Algorithm (FCRA)   Order a copy of this article
    by Xuelian TIAN 
    Abstract: Testing the suspension device and judging whether it meets the requirements are obviously necessary to ensure the safe driving of the car, especially for small vehicles running at high speed. The testing principle of resonance automobile suspension performance is analyzed theoretically, and the mathematical model is established. Based on this model, the design of testing bench is expounded. In this paper, a detection platform of resonant automobile suspension device based on Fuzzy Comprehensive Recognition (FCRA) algorithm is proposed, which detects the resonant automobile suspension device caused by faults by using the change of fuzzy comprehensive identification coefficient and modal parameters required for output. The experimental results show that the performance of the resonant suspension device test bench is stable and can meet the needs of the performance test of the automobile suspension device.
    Keywords: Fuzzy Comprehensive Recognition Algorithm; Resonant Automotive Suspension Device; Detection Bench; Optimization.
    DOI: 10.1504/IJISE.2020.10033881
     
  • Research On High-Speed Motion Control Of Green Environmental Protection Production Line For High-Speed Flexible Cartridge Packing   Order a copy of this article
    by Kuiwu Liu 
    Abstract: In order to overcome the poor track control performance of the production line motion control method, a high-speed motion control method of green environmental protection production line with high-speed flexible box packing is proposed. This method obtains the speed constraint conditions according to the speed connection between the path segments, carries out the speed preprocessing between the path segments, introduces the polynomial quintic interpolation algorithm, plans and generates the motion trajectory, obtains the speed control curve of the production line, implements the path planning, constructs the high-speed motion control model of the production line, and realises the high-speed motion control of the production line. The experimental results show that the interruption of the trajectory control line is the smallest, the controller tends to be stable for 2 s, and the packaging error can be controlled within
    Keywords: High-speed flexible cartridge; Packing; Green production line; High-speed motion control;.
    DOI: 10.1504/IJISE.2020.10033886
     
  • A Holistic Perspective of the Sustainable Manufacturing: A Novel Conceptual Approach   Order a copy of this article
    by Ibrahim Garbie, Abdelrahman Garbie 
    Abstract: Sustainability is recently considered the buzzword in manufacturing enviornments Analysis and investigation of sustainability in manufacturing becomes urgent not only from one stream but also from the whole manufacturing streams The main goal of this paper is to explain how to classify sustainability in all streams of manufacturing as a whole (machine components design, manufacturing processes, and manufacturing systems) through identifying the sustainability enablers A framework to analyze the whole manufacturing streams will be illustrated and discussed to identify which enablers are significant in each manufacturing stream and which manufacturing stream is more significant towards whole manufacturing sustainability than others A novel assessment for measuring the manufacturing sustainability will be presented It seemed that the stream of the manufacturing system represented the highest turbulent one due to the diversity and numerous sustainable enablers It was also observed from this analysis and investigation that understanding sustainable manufacturing as a whole is
    Keywords: sustainable manufacturing; sustainability/sustainable development; manufacturing process; manufacturing systems; and machine design.
    DOI: 10.1504/IJISE.2020.10033957
     
  • Prognosis of failures due to the abnormal temperature increase of the malt crusher, using ANFIS neuro-fuzzy approach: case study of the flour mill of the breweries of Cameroon   Order a copy of this article
    by Sandra NZENEU, KOMBE Timothée 
    Abstract: In this article, we present a method for predicting malt grinder failures. The objective is to control the evolution of the temperature of the grinding chamber, in order to optimise the availability and reliability of the grinder. The methodological approach is based on the ANFIS neuro-fuzzy network, which offers, in a single tool, precision for non-linear systems. The predicted temperature is classified according to a mode of operation of the equipment. The evaluation of the performance of the prediction and classification systems is characterised respectively by a learning error function of 0.1236 and a classification rate of 79.6%.
    Keywords: Artificial Intelligence; Hybrid neuro-fuzzy network; Form recognition; Failure; Prognosis.
    DOI: 10.1504/IJISE.2020.10034130
     
  • Identifying and classifying sustainable supply chain performance indicators: a GRI based multivariate analysis   Order a copy of this article
    by Arash Shahin, Ali Goharshenasan, Abbas Sheikh Aboumasoudi 
    Abstract: This study aims to identify and classify the performance indicators of a sustainable supply chain based on the Global Report Initiative (GRI) standard using multivariate analysis. Marjan Tile Company has been selected for the case study. Performance indicators of the sustainable supply chain have been reviewed and the GRI standard has been selected. Then, the value of each indicator has been measured using a questionnaire filled by the experts of the company. In the next step, the data has been analysed using multivariate analysis and principal component analysis (PCA). Findings on the classification of performance indicators indicated that human rights varied from nine sub-dimensions to three indicator clusters, and the indicators relevant to social dimensions of society scope and social scope of product liability varied from five sub-dimensions to three indicator clusters, implying the maximum and minimum variation of the clusters.
    Keywords: Sustainable Supply Chain; Multivariate analysis; Social dimension; GRI standard; Ceramic and tile industry.
    DOI: 10.1504/IJISE.2020.10034312
     
  • Optimization of tensile and compressive behavior of PLA 3-D printed parts using Categorical Response Surface methodology   Order a copy of this article
    by Muhammad Abas, Muhammad Waseem, Tufail Habib, Usman Ghani, Muhammad Alam Zaib Khan, Qazi Muhammad Usman Jan 
    Abstract: Additive manufacturing is gaining momentum in different industries to fabricate complex parts in a short period. However, the fabrication of quality parts with required mechanical strength greatly depends on printing process parameters. So the present study aims to optimize process parameters of 3-D printed Polylactic Acid (PLA) part of improving mechanical strength, namely tensile and compression strength using Response Surface Methodology (RSM). The input printing process parameters are layer height, infill percentage, raster width and infill patterns (i.e. linear, hexagonal and diamond), while the responses are tensile and compressive strengths. Box Behnken array design is applied for experimental runs and also to fit quadratic regression models. Three levels are set for each printing process parameters i.e. layer height (0.1, 0.2, 0.3mm), infill percentage (10, 55,100), raster width (0.4, 0.45, 0.5mm) and infill pattern type (linear, hexagonal, diamond). Effect of printing process parameters on responses are studied using Analysis of variance.
    Keywords: Additive manufacturing; fused deposition modelling; 3D printing; Poly-lactic acid; tensile strength; compression strength; analysis of variance; Response surface methodology.
    DOI: 10.1504/IJISE.2020.10034682
     
  • Optimisation Of Dynamic Navigation System For Automatic Driving Vehicle Based On Binocular Vision   Order a copy of this article
    by Dongliang Wang, Guodong Yin, Nan Chen 
    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.
    Keywords: Binocular vision; Automatic driving; Vehicle navigation; Dynamic navigation; System optimisation.
    DOI: 10.1504/IJISE.2020.10034859
     
  • A Multi-Level Green Reverse Logistics Network Design for Single Manufacturer and Integration of Return Distribution Warehouses in Supply Chain Management   Order a copy of this article
    by Mohammad Reza Shahraki, Shima Shirvani 
    Abstract: This study develops a linear programming model in a closed loop supply chain network including supply, production, distribution, collection, recycling and disposal centres taking into account variables of route, vehicle and volume of the vehicle. Multilevel and multi-product modes are also considered for single manufacturer and integration of return distribution warehouses and processing costs are also taken into account in locations. All modifiable returned goods are shipped to production and distribution centres to be provided to the consumer directly in the logistics process. The purpose of the model is to reduce costs of the green reverse logistics network. The proposed model reduces the cost of transportation according to the vehicle and the route and vehicle size and ultimately reduces the costs of reverse logistics network distribution. An example is reviewed for validation of the proposed model and finally general conclusions are presented. The results show that the proposed model is able to determine the best route, type of vehicle and shipping volume and in the reverse logistics network.
    Keywords: reverse logistics; supply chain; return distribution cost; returned products.
    DOI: 10.1504/IJISE.2020.10034937
     
  • MAINTENANCE PERFORMANCE EVALUATION OF BUS FLEET GARAGES USING A HYBRID APPROACH   Order a copy of this article
    by Ajith Tom James  
    Abstract: Availability of automobiles in fleet service is very crucial and is often influenced by the maintenance. Generally, bus fleet organisations have got their own garage facilities. However, the maintenance performance levels of garages need not to be the same with all organisations and locations. Hence, a measurement system is necessary to evaluate the maintenance performance of garages for corrective actions. This paper develops a framework for maintenance performance measurement (MPM) based on MPIs specific to the objectives of fleet service maintenance garages based on hybrid methodology that is a combination analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The hybrid methodology is applied for comparing maintenance performance of garages of four different municipal bus fleet services in India. The novelty of this paper includes development of MPIs specific to garages of bus fleet and comparison of the fleet garages based on maintenance performance.
    Keywords: fleet service garage; maintenance performance measurement; MPM; analytic hierarchy process; AHP; TOPSIS.
    DOI: 10.1504/IJISE.2020.10035036
     
  • Availability analysis using Markovian approach and Maintenance Planning of a process industry   Order a copy of this article
    by Nitin Panwar, SANJEEV KUMAR 
    Abstract: In the present paper, a probabilistic method for stochastic modelling and performance evaluation of a pulping unit is suggested. The paper plant consists of various units like feeding, pulping system, bleaching system, screening system and paper production system. Pulping unit is one of the paper plant’s most significant functional units, consisting of five repairable subsystems which are arranged in series. Using Markov process, differential equations are created after drawing transition diagram and these models are then used to discover the pulping unit’s availability by considering the repair and failure information acquired from maintenance personnel. Based upon the various performance values for critical system using analytic hierarchy process (AHP), first the priority weights of the considered criteria are found and ranking of failure causes are performed using vlse kriterijumska optimizacija kompromisno resenje (VIKOR) to find the most critical component.
    Keywords: Markovian; stochastic modelling; multi-criteria decision making; MCDM; availability; AHP-VIKOR; maintenance planning.
    DOI: 10.1504/IJISE.2020.10035038
     
  • Yield-level performance of quality dimensions trough T2 charts and multivariate capacity indicators applied to a fumigation services company   Order a copy of this article
    by Tomás Fontalvo, Roberto Herrera, Yulibeth Gonzales 
    Abstract: This research provides a yield-level performance of quality dimensions trough a T-squared control chart and a multivariate capacity indicator to assess the dimensions of the fumigation service. Six Sigma concepts, control charts and multivariate capability indicators were used as the theoretical basis. The research was evaluative, for which all the information regarding the quality dimensions was evaluated in 11 periods of 2019, for which the primary sources associated with the records generated by the fumigation services company were used. As results, the yield level performance was excellent; and the multivariate control chart shows variability in the quality dimensions in the analysed periods; and the multivariate capacity indicator makes it possible evaluate punctually and globally the service quality, showing a good performance. A three-phase method is proposed that allows to evaluate the service dimensions through a periodic, global, longitudinal and multidimensional perspective to guarantee the sustainability of the service quality.
    Keywords: service quality; Six Sigma in service; multivariate control charts; multivariate capability indicators; fumigation services.
    DOI: 10.1504/IJISE.2020.10035051
     
  • A Single-Stage Batch Scheduling Model with m Heterogeneous Batch Processors Producing Multiple Items Parts Demanded at Different due dates.   Order a copy of this article
    by Nita Puspita Anugrawati Hidayat, Wisnu Aribowo, Abdul Hakim Halim, Andi Cakravastia 
    Abstract: This research deals with a batch scheduling problem to minimise total actual flowtime of parts through the shop with m heterogeneous batch processors, i.e., the machine simultaneously processing all parts in a batch. The parts to be processed are multiple items, and the completed parts must be delivered at different due dates. The total actual flow time of parts can be defined as an interval between arrival times of the parts and their respective due dates. The objective of minimising the total actual flowtime is not only to satisfy the due dates as a commitment to the customers, but also to minimise the length of total time spent by the parts in the shop. The problem is formulated as a mathematical model and an algorithm to solve the problem is proposed. Numerical examples show that the proposed algorithm can effectively solve the problem.
    Keywords: batch scheduling; batch processor; actual flowtime.
    DOI: 10.1504/IJISE.2020.10035054
     
  • Accurate medical information recommendation system based on big data analysis   Order a copy of this article
    by Xi Chen, Jieru Wang 
    Abstract: In order to solve the problems of low recommendation accuracy and long response time in traditional medical information recommendation system, a medical information accurate recommendation system based on big data analysis is proposed. The system is designed as medical information data acquisition module, medical information storage module and medical information accurate recommendation module. In the medical information data acquisition module, crawler technology is used to obtain medical information data, association rule algorithm is used to mine the medical information data, in the medical information storage module, personalised configuration is set, in the medical information accurate recommendation module, the user interest model is quantified by vector space method, and BP algorithm and SOM algorithm are introduced to complete the accuracy of medical information recommend. The experimental results show that: the highest accuracy rate of medical information recommendation is 98.8%, and the shortest retrieval response time is 20 ms.
    Keywords: big data technology; medical information; preprocessing; accurate recommendation.
    DOI: 10.1504/IJISE.2020.10035264
     
  • Design Of Energy Consumption Monitoring System Of Public Buildings Based On Artificial Neural Network   Order a copy of this article
    by Hui-hua Xiong, Chuan He, Jin Lin, Xin Xiang, LiE Yu 
    Abstract: In order to overcome the problems of low monitoring accuracy and long response time in traditional energy consumption monitoring system of public buildings, a new energy consumption monitoring system of public buildings based on artificial neural network is proposed. The system hardware is designed by using the energy consumption collection subsystem and energy consumption data transmission subsystem of public buildings. Through the genetic algorithm to optimise the constraint parameters of the physical sign extraction function to obtain the characteristics of public building energy consumption, combined with the main factors affecting the building energy consumption, the public building energy consumption monitoring model based on artificial neural network is established, and the real-time monitoring of public building energy consumption is realised through the model. The experimental results show that, compared with the traditional monitoring system, the minimum monitoring error of the designed system is only 0.01.
    Keywords: artificial neural network; public building; energy consumption monitoring system; genetic algorithm.
    DOI: 10.1504/IJISE.2020.10035319
     
  • Research On Energy Consumption Control Method Of Green Building Based On Bim Technology   Order a copy of this article
    by Jianhong Xu 
    Abstract: In order to overcome the problems of large energy consumption control error and low control efficiency in traditional energy consumption control methods, a new energy consumption control method based on BIM technology is proposed in this paper. In this method, RSstudio data mining software is used to mine the energy consumption data of green buildings in CBECS building energy consumption information database to fill the data shortage. Using the orthogonal test method and building information simulation software to analyse the significance level of energy consumption of green building, simulate the energy consumption of green building, based on BIM technology, implement the integrated design of energy consumption control of green building, in order to achieve the energy consumption control of green building. The experimental results show that the proposed energy consumption control method has lower control error and higher control efficiency, and the maximum control error is only 0.44.
    Keywords: BIM technology; green building; energy consumption control; energy consumption simulation.
    DOI: 10.1504/IJISE.2020.10035323
     
  • Solar panel selection using an integrated analytical hierarchy process and multi-objective optimization by ratio analysis: an empirical study   Order a copy of this article
    by Gnanasekaran Sasikumar, A. SIVASANGARI 
    Abstract: A solar panel is a vital element of a photovoltaic (PV) system. Hence, it is essential to study the reduction of material costs of a solar panel without compromising the efficiency of it. Selection of solar panel is a complex problem due to the presence of various quantitative and qualitative parameters. This paper deals with the development of a mathematical model by combining analytical hierarchy process (AHP) and multi-objective optimisation by ratio analysis (MOORA) for the evaluation and ranking of solar panels. The AHP method is utilised to fix compromise solution with incommensurable and contradictory criteria, consisting of five potential solar panels and eight selection parameters. The AHP technique is adopted for calculating the criteria weights based on the relative importance. Consequently, MOORA method is used for ranking and selecting the solar panel alternatives. The proposed AHP and MOORA approach is found to be effective for the evaluation and ranking of solar panels as it produces comparable results with VIKOR method. In the VIKOR method, alternatives are ranked based on closeness to positive ideal solution.
    Keywords: solar panel; analytical hierarchy process; AHP; multi-objective optimisation; multi-criteria decision-making; MCDM; ratio analysis; VIKOR.
    DOI: 10.1504/IJISE.2020.10035476
     
  • Research on the early warning system of regional financial risk   Order a copy of this article
    by Xiaowei Lin, Yaqin Peng 
    Abstract: It is a systematic research work to design the early warning system of regional financial risk. This paper selects a total of 17 regional financial risk early warning indicators from the aspects of external macro-impact, regional macro-economic and regional micro-finance, and then uses the mapping method, GRITIC method and comprehensive scoring method to deal with the index standardisation, index weight and comprehensive risk measurement respectively, and construct the regional financial risk early warning system. Based on the empirical research of Fujian Province’s actual data, the results show that there are implied fluctuations in the overall stability of regional finance in Fujian Province from 2013 to 2017, but some important early warning indicators still have different levels of risk. Finally, according to the early warning results of Fujian Province, the targeted financial risk prevention measures are put forward.
    Keywords: regional financial risk; early warning system; mapping treatment; GRITIC method.
    DOI: 10.1504/IJISE.2020.10035477
     
  • The efficient routing approach of a vehicle under the vehicle routing problem with simultaneous delivery and pickup for reducing the fuel consumption and pollutants emission   Order a copy of this article
    by Nilufa Yeasmin, Sultana Parveen 
    Abstract: The vehicle routing problem with simultaneous delivery and pickup (VRPSDP) has received significant attention in logistics operations to minimize the travelling distance or travelling time. However, little is known regarding the VRPSDP in logistics operations which is used to reduce the emission of CO2 in the environment (i.e., critical requirements of green logistics). Our study proposes the fuel-optimization model for the vehicle under VRPSDP referred to as an eco-friendly VRPSDP model. This model aims to determine the efficient vehicle route that will reduce the vehicle's fuel consumption as well as decrease the negative impact on the environment. The Genetic Algorithm (GA) is applied to solve the proposed fuel optimization model. Here, two types of genetic mutation operator, i.e. swap and inverse are used to find out which one would give the optimum results regarding fuel consumption. The computational tests show that that the inverse mutation performs better than the swap mutation and saves the fuel consumption of 4.1 % over the swap mutation.
    Keywords: fuel optimisation; vehicle routing problem with simultaneous delivery and pick up; genetic algorithm; swap mutation and inverse mutation; reverse logistics.
    DOI: 10.1504/IJISE.2020.10035591
     
  • Patient Safety Culture in Al Zarqa Public Hospital: Case Study   Order a copy of this article
    by Osama Al-meanzel, Haetham Doweire, Hesham A. Almomani 
    Abstract: Patient safety concerns vary among healthcare provider settings, cultures of countries, policies and available resources. The primary purpose of this study is to analyse and establish a baseline assessment of the patient safety culture in Al Zarqa governorate hospitals. Hospitalised patients need to receive appropriate and high-quality treatment recommended in accordance with the latest professional knowledge. This study was conducted at two hospitals in Al Zarqa City, Prince Faisal Hospital (Prince Faisal Bin Al-Hussein Hospital) and Al Zarqa New Hospital (Al Zarqa Governmental Hospital). The total number of the participant was 131 from hospitals from 14 departments (59% from Al Zarqa New Hospital and 41% from Prince Faisal Hospital). The results of this study suggest that patient safety culture in Al Zarqa public hospitals needs more attention. The majority of the participant neither agreed nor disagreed on most of the points survey. However, they reported certain events that compromised safety, and at times having communicated with the hospitals about safety issues. Patient safety issues vary according to the setting, local culture, and available resources.
    Keywords: patient safety culture; PSC; human safety; quality; healthcare; safety; patient culture.
    DOI: 10.1504/IJISE.2020.10035862
     
  • An innovative forestry chassis with legs Installed bionic walking foot   Order a copy of this article
    by Tingting Sui, Jinhao Liu, Liang Chen, Qingqing Huang, Tiebo Sun 
    Abstract: This paper studies a creative forestry chassis installed bionic walking foot with adjustable support foot (FC-BWF&ASF) based on bionic principle, proposes a method to improve terrain trafficability by avoiding direct contact with obstacles and pits of unpredictable shapes and dimensions in forestland, which is realised by controlling the posture of BWF&ASF. The kinematics model is established by D-H method and trajectory is planned with compound cycloid method. Finally, the effectiveness is verified through simulation experiment in ADAMS. The results show that the chassis can surmount obstacle of 60 mm height as ASF rotates 45 degrees, while no rotation is needed to move over sunken pit of 120 mm width. Additionally, the fluctuation range of frame barycentre in two conditions is within 1 mm and 4 mm, respectively. The conclusion shows that within structural parameters, the novel foot structure contributes to cross irregular terrain with quiet good stability.
    Keywords: forest chassis; mechanical model; kinematics analysis; passing strategy; multibody dynamics simulation.
    DOI: 10.1504/IJISE.2020.10036042
     
  • Assessment Method for Wind-resistance Resilience of Power Grid based on Extension Analytic Hierarchy Process   Order a copy of this article
    by Geping Weng, Haojie Ruan, Qian Cheng, Fei Wei, Gongjin Yu, Guangyu Wei 
    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.
    Keywords: extension analytic hierarchy process; wind-resistance of power grid; performance assessment.
    DOI: 10.1504/IJISE.2020.10036167
     
  • Exchange rate risk sharing model of transnational supply chain considering background risk   Order a copy of this article
    by Zhe Wang, Yanyu Chen, Chunjiao Gao 
    Abstract: By extending the single exchange rate risk in previous studies to a general additive and multiplicative background risk form, this paper proposes a game model including a retailer, a manufacturer and a supplier. Explicit expressions of the optimal decisions for the retailer, the manufacturer and the supplier are given, respectively. Furthermore, the impacts of different forms of risk on the risk-sharing behaviour of the node enterprises in the supply chain are discussed. It is found that, if there is only additive background risk, there is no risk-sharing behaviour between the retailer and the manufacturer. When multiplicative background risk exists, both retailers and manufacturers share the background risk and price risk. The risk sharing degree between retailers and manufacturers increases with the fluctuation of background risk factors, and the risk sharing degree between suppliers (retailers) and manufacturer decreases with the increase of price risk.
    Keywords: supply chain decision; additive background risk; multiplicative background risk; risk-sharing.
    DOI: 10.1504/IJISE.2020.10036248
     
  • Industry 4.0: Prospectives and Challenges leading to Smart Manufacturing   Order a copy of this article
    by Ramesh Rudrapati 
    Abstract: Fourth Industrial Revolution proposed advancements in production processes and its automation. Industry 4.0 (I4.0) is a broad domain to create smart factory which includes manufacturing methods, economy, data management, relationships between consumer and manufacturer, etc. I4.0 is new themes of research to produce smart products which need to be explored at bottom levels of prospects and goals by academicians, business scholars, various contributors of scientific community. Main aim of the present study is to review the prospects and challenges of I4.0 related various issues and aspects of smart manufacturing. Important components in I4.0 are also explored and discussed. Status of research works on I4.0 and its applications are included. Challenges faced by industrialists are mentioned and discussed. Various features and issues related to I4.0 discussed in the present study will expected to clarify the aims and fundamental components of I4.0. Concluding remarks has been drawn from the study.
    Keywords: Industry 4.0; smart manufacturing; prospects of I4.0; challenges of I4.0.
    DOI: 10.1504/IJISE.2021.10036284
     
  • Design Of The Autonomous Learning System For Students In Remote Open Education Based On Mooc   Order a copy of this article
    by Yingwei Geng 
    Abstract: In order to realise the new education mode of students’ autonomous learning and meet the learning needs of open education, this paper proposes the design of students’ autonomous learning system based on MOOC. First of all, the embedded scheduling method is used to sample the students’ information, the distance open education independent learning resources are used, and the sampling information and statistical average analysis method are used to control the students’ autonomous learning mode in moo. Through the adaptive optimisation of machine learning, the autonomous learning system of students in distance open education is optimised and simulated. The result shows that this method has a good adaptive ability in distance open education, and effectively enhances the autonomous learning ability of distance education students.
    Keywords: mass open online course; MOOC; remote open education; autonomous learning; system design.
    DOI: 10.1504/IJISE.2020.10036291
     
  • Computer aided ergonomics design and comparative analysis of waiting chairs at a health centre   Order a copy of this article
    by Feyisayo Akinwande, Olusegun Akanbi, Samson Akindele 
    Abstract: This study explains the ergonomics design and comparative analysis of chairs (waiting) at a health centre using anthropometric data and CATIA V5R20 software to perform finite element analysis (FEA) and determine the most efficient ergonomic design. From the collected data, the analysis was conducted based on percentiles; with the use of Excel. The modelling of the chairs was performed using its materials. FEA was also conducted for the designed waiting chairs to check, for stress, deformation and displacement. The human builder part of CATIA V5R20 was used to test, for the efficiency and the physical interaction across the user and the designed chair. The results obtained showed that computer-aided ergonomics design is not limited to anthropometric data collection, and designing of products. It is also a means of determining the quality of the designed product.
    Keywords: ergonomics design; computer-aided design; CATIA V5R20; FEA analysis; anthropometrics; chairs.
    DOI: 10.1504/IJISE.2021.10036538
     
  • Design of cloud service system for enterprise economic management based on hybrid cloud mode   Order a copy of this article
    by Mi Wang 
    Abstract: In order to overcome the problems of traditional enterprise economic management cloud service system, such as long response time, this paper designs a cloud service system for enterprise economic management based on hybrid cloud mode. The system hardware is composed of server, optical switch, optical disk storage cabinet and management module. On the basis of the hardware design, the system software is designed. The K-means algorithm is used to mine the enterprise economic data, and the data is standardised and stored in the database. The experimental results show that the system designed in this paper has good compatibility and concurrency performance, and the system response time is always less than 0.5 s, and the user satisfaction is between 6.8 to 9.6, so the practical application effect is better.
    Keywords: hybrid cloud model; enterprise; economic management; cloud service system; information retrieval.
    DOI: 10.1504/IJISE.2020.10036703
     
  • k-Most Suitable Locations Problem: Greedy Search Approach   Order a copy of this article
    by Seyed-Hadi Mirghaderi, Behnam Hasanizadeh 
    Abstract: Facility location problems have been highly considered in the literature and employed in various real-world situations. The k-most suitable locations (k-MSLs) is a type of site-selection problem, a direction of facility location problems. It can be applied in several areas like disaster management, urban development, telecommunication and franchising corporations. This paper aims to develop heuristics for the problem. It proposes four greedy search algorithms to find solutions for the k-MSL problem and provide a baseline for comparing future solutions. The proposed greedy algorithms solve the problem for all values of k. The computational experiments using real-world datasets reveal that one of the developed algorithms is superior in consuming CPU time, and the other three algorithms provide accurate solutions in low k and good solutions in all values of k in a reasonable time.
    Keywords: location science; k-most suitable locations; k-MSLs; heuristics; facility location; greedy search.
    DOI: 10.1504/IJISE.2021.10036732
     
  • Solving multi-objective flexible flow-shop scheduling problem using teaching-learning-based optimization embedded with maximum deviation theory   Order a copy of this article
    by Raviteja Buddala, Siba Sankar Mahapatra, Manas Ranjan Singh 
    Abstract: Flexible flow-shop scheduling problem (FFSP) is an extended special case of basic flow-shop scheduling problem (FSP). FFSP is treated as complex NP-hard scheduling problem. A good scheduling practice enables the manufacturer to compete effectively in the market place. An efficient schedule should address multiple conflicting objectives so that customer satisfaction can be improved. In this work, a novel approach based on teaching-learning-based optimisation (TLBO) technique incorporated with maximum deviation theory (MDT) is applied to generate schedules that simultaneously optimise conflicting objective measures like makespan and flowtime. Results indicate that the proposed multi-objective TLBO (MOTLBO) outperforms non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimisation (MOPSO) in majority of the problem instances.
    Keywords: flexible flow-shop scheduling; FFSP; flowtime; makespan; maximum deviation theory; MDT; non-dominated solutions; multi-objective optimisation; teaching-learning-based optimisation; TLBO.
    DOI: 10.1504/IJISE.2021.10037222
     
  • Modelling of Critical Success Factors for Blockchain Technology Adoption Readiness in the Context of Agri-Food Supply Chain   Order a copy of this article
    by Vipulesh Shardeo, Anchal Patil, Ashish Dwivedi, Jitendra Madaan 
    Abstract: The agri-food supply chain is continuously facing several challenges; the most severe are food quality and safety issues. These issues debilitate the performance of the supply chain and often harm the consumers health. Therefore, there is an urgent need to address food quality and safety assurance in the supply chain. Blockchain technology (BCT) holds the potential to resolve these issues by enhancing security and transparency. The present study explores the critical success factors (CSFs) of BCT adoption readiness in the AFSC. Initially, CSFs are identified through a literature survey and finalised by experts opinion. The finalised factors are prioritised using the fuzzy best-worst method, followed by sensitivity analysis. The results reflect that food quality control, provenance tracking and traceability, and partnership and trust as the top three success factors. The studys findings will assist policymakers, managers, and practitioners in strategising the decision-making process while BCT dissemination.
    Keywords: blockchain technology; agri-food supply chain; AFSC; fuzzy; best-worst method; BWM; trust.
    DOI: 10.1504/IJISE.2021.10037223
     
  • Analytical Solution and Optimization of serial supply chains with multiple nodes, lost sales, continuous review replenishment policies, stochastic lead times and external demand   Order a copy of this article
    by Michail Geranios, Michail Vidalis, Stylianos Koukoumialos, Alexandros Diamantidis 
    Abstract: This work analyses a serial supply chain with an arbitrary number of nodes (retailer, wholesaler, manufacturer, supplier, etc.). Every node faces supply uncertainty in both replenishment lead time and quantity delivered (except for the most upstream node, assumed saturated). The most downstream node (retailer) faces external Poisson demand with rate . Each node follows a continuous review (si, Si), i = 1, 2, , K 1 replenishment policy. If a node is insufficiently stocked, then the order is only partially satisfied. The system parameters that influence the performance of the supply chain are the number of nodes, the upper level of inventories, the reorder levels, the replenishment times, and the demand rate. The supply network is modelled as a continuous time Markov process with discrete states. We explore the structure of the transition matrices and develop a computational algorithm to generate the stationary probability distributions for any combination of the system parameters. We also use the proposed algorithm as a design and optimisation tool to determine the optimal inventory policies (i.e., reorder level and order-up-to-level) to maximise the fill rate (FR) or minimise the work-in-process (WIP) for multi-echelon serial supply chains.
    Keywords: supply chain management; SCM; inventory control; lost demand; continuous review policy; performance evaluation.
    DOI: 10.1504/IJISE.2020.10037226
     
  • Simulation-based Optimization: Analysis of the Emergency Department Resources under COVID-19 Conditions   Order a copy of this article
    by Shahla Jahangiri, Milad Abolghasemian, Peiman Ghasemi, Adel Pourghader Chobar 
    Abstract: The emergency department (ED) is the most important section in every hospital. The ED behaviour is adequately complex, because the ED has several uncertain parameters such as the waiting time of patients or arrival time of patients. To deal with ED complexities, this paper presents a simulation-based optimisation-based meta-model (S-BO-BM-M) to minimise total waiting time of the arriving patients in an emergency department under COVID-19 conditions. A full-factorial design used meta-modelling approach to identify scenarios of systems to estimate an integer nonlinear programming model for the patient waiting time minimisation under COVID-19 conditions. Findings showed that the S-BO-BM-M obtains the new key resources configuration. Simulation-based optimisation meta-modelling approach in this paper is an invaluable contribution to the ED and medical managers for the redesign and evaluates of current situation ED system to reduce waiting time of patients and improve resource distribution in the ED under COVID-19 conditions to improve efficiency.
    Keywords: emergency department; simulation-based optimisation; S-BO; meta-model; COVID-19.
    DOI: 10.1504/IJISE.2021.10037641
     
  • Assessment of Suppliers and Optimum Order Allocation in Agile Automotive Manufacturing Companies   Order a copy of this article
    by Masoud Rahiminezhad Galankashi, Aida Rezaei, Mobina Keyvanpazhooh, Farimah Mokhatab Rafiei 
    Abstract: This paper develops a systematic approach to assist agile automotive manufacturers to assess their potential suppliers and allocate required orders. Agile manufacturing (AM) and its related concepts have been discussed in previous literature. However, its integration with purchasing and supplier selection is less examined. Therefore, the development process of agile supplier selection framework is the main addressed problem of this research. A comprehensive investigation on previous studies and analytic hierarchy process (AHP) were applied to finalise agile supplier selection criteria. Next, the developed agile supplier selection criteria were applied to assess suppliers using fuzzy analytic hierarchy process (FAHP). Finally, a multi-period and multi-objective order allocation model was developed to determine optimum agile purchasing quantity of items from suppliers. Therefore, the main outputs of this research include agile supplier selection criteria, ranking of suppliers and multi-period purchasing quantity from suppliers. In addition, a sensitivity analysis was applied to provide more understandable and practical outputs.
    Keywords: supplier selection; agile manufacturing; AM; order allocation; analytic hierarchy process; AHP; fuzzy analytic hierarchy process; FAHP.
    DOI: 10.1504/IJISE.2021.10037642
     
  • Optimization study on the drain mode of cycloidal rotor oil pump   Order a copy of this article
    by Wen Wang, Xiang Liu, Hao Cai, Shanghong He, Yuelin Li 
    Abstract: In order to optimise the internal flow field pulsation characteristics of a cycloidal rotor oil pump, the internal oil drain structure of the pressure limiting valve was changed to an external oil drain structure. The numerical simulation method is used to calculate the internal flow field of the cycloidal oil pump with different drain structures. The outlet pressure pulsation, pressure pulsation at the pressure limiting valve, displacement of the pressure limiting valve spool and cavitation are compared and analysed. The results show that, relative to internal drain structure, the pressure amplitude of the external drain structure at the pressure limiting valve is reduced by 30%, the pressure amplitude at the outlet is reduced by 25%, and the cavitation phenomenon at the interface between the pressure limiting valve and the inlet cavity is eliminated. The bench test is carried out to verify the sample pump, and the test results are in good agreement with the simulation results, with the volume efficiency improved by up to 4%.
    Keywords: cycloidal rotor oil pump; pressure pulsation; pressure limiting valve; oil drain structure.
    DOI: 10.1504/IJISE.2021.10037885
     
  • Supply Chain Network Design under Distribution Center Disruption   Order a copy of this article
    by Huynh Trung Luong, Ashish Devkota, Sidharath Joshi 
    Abstract: In the 21st century, with the rise of increasing competition and highly volatile customer demands, managing and designing supply chain networks have become critical in most industries. While designing the supply chain, disruption must be taken into consideration. However, when dealing with supply chain disruptions, most of past research works focused only on uncertainties/disruptions at supply side or demand side. In fact, disruptions should also be considered at distribution centres. This research aims at deriving a mathematical model for a three-stage logistics network consisting of a single manufacturing plant, multiple potential locations for opening distribution centres with associated risk of disruption, and multiple customer zones. A scenario-based mathematical modelling approach is used to determine the locations at which a fixed number of distribution centres should be opened. The key challenge in developing the combined total cost function which incorporated all disruption scenarios is how to develop a general expression for the probabilities of occurrence of various disruption scenarios. This is the unique contribution of this research in terms of mathematical model development. Numerical experiments were then performed to illustrate the applicability of the proposed model. Sensitivity analyses have also been conducted to examine the robustness of the solution.
    Keywords: supply chain network design; SCND; location-allocation problem; mixed integer linear programming; disruption; risk; uncertainty.
    DOI: 10.1504/IJISE.2020.10037908
     
  • Analyzing the Supply Chain Network Reconfiguration under Disruption Risk Environment   Order a copy of this article
    by Varthini Rajagopal, S. Prasanna Venkatesan, Usha Mohan, Rishabh Gaur, Shubham Jha 
    Abstract: A p-robust supply chain network (SCN) reconfiguration model under disruptions in dynamic mid-term horizon considering decision-maker (DM)’s risk-attitude is presented. Reconfiguration of SCN within a time horizon by utilising excess resources of undisrupted facilities, outsourcing and capacity expansion is studied. At first, the single-objective cost minimisation problem is formulated and extended as a multi-objective problem incorporating responsiveness as another objective. Pareto solutions are obtained using augmented ?-constraint (AUGMECON) method. The major inferences include: 1) the cost minimisation model opens a fewer facility under nominal condition and prefers capacity expansion strategy under disruptions. The inclusion of responsiveness objective results in opening more facilities with outsourcing as preferred reactive strategy; 2) DM’s attitude significantly affect structural decisions but not the parametric decisions such as capacity expansion, material flow redirection, and outsourcing; 3) a neutral DM selects a dispersed and diversified portfolio of facilities; whereas averse DM opens backup facilities closer to critical facilities.
    Keywords: dynamic configuration; disruption; reactive mitigation strategies; risk-attitude; responsiveness; AUGMECON.
    DOI: 10.1504/IJISE.2020.10037923
     
  • Personalized resource recommendation method for collaborative tagging system based on machine learning   Order a copy of this article
    by Xiaofei Liu 
    Abstract: In order to overcome the low feasibility of traditional resource recommendation methods, this paper proposes a personalised resource recommendation method based on machine learning. Firstly, the user-based collaborative filtering algorithm is used to calculate user personalised similarity, and then content-based collaborative filtering algorithm is used to calculate resource content similarity through cosine similarity. Combined with user similarity and resource content similarity, a hybrid computing model of resource similarity is established, and personalised recommendation is realised through statistical machine learning. The experimental results show that: the F-measure value of the method can reach 0.97, the coverage rate is maintained above 50%, the popularity is above 0.8, and the MAE value is always the minimum, and its precision is always higher than that of the contrast method. It shows that the proposed method can effectively improve the precision and feasibility of personalised recommendation results.
    Keywords: machine learning; collaborative tagging system; personalised resource recommendation; similarity.
    DOI: 10.1504/IJISE.2020.10037928
     
  • Optimum design and analysis of U-shape thin-wall aqueduct based on genetic algorithm   Order a copy of this article
    by Wen-Liang Ma, Rui Yuan 
    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.
    Keywords: aqueduct; optimisation design; discrete variable; finite element method; stress analysis; vertical displacement.
    DOI: 10.1504/IJISE.2020.10025387
     
  • Software reliability allocation incorporating Pythagorean fuzzy theory and AHP   Order a copy of this article
    by Neha, Vibha Verma, Abhishek Tandon, Anu G. Aggarwal 
    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.
    Keywords: software reliability allocation; hierarchical structure; multi-criteria decision making; MCDM; analytical hierarchy process; AHP; Pythagorean fuzzy sets; PFS.
    DOI: 10.1504/IJISE.2020.10037280
     
  • Power optimisation of wind energy conversion system using T-S fuzzy approach   Order a copy of this article
    by Sahbi Abderrahim, Moez Allouche, Mohamed Chaabane 
    Abstract: This paper presents a maximum power point tracking control for a wind energy conversion system (WECS) using a squirrel cage induction generator (SCIG) which supplies a DC load through AC/DC converter. The goal of the developed fuzzy control law is to track the reference signals corresponding to the maximum power generation that leads to an optimal operation of the induction generator. First, the dynamics behaviour of the WECS is represented by a Takagi-Sugeno (T-S) fuzzy model. Then, a H observer-based fuzzy controller is proposed to achieve a maximum power point tracking even when we consider a varying wind speed profile. The controller and observer gains are calculated by solving linear matrix inequalities (LMIs). Finally, simulation results are presented to illustrate the effectiveness of the proposed approach.
    Keywords: wind energy conversion system; fuzzy observer; AC/DC converter; Takagi-Sugeno model; linear matrix inequality; LMI.
    DOI: 10.1504/IJISE.2020.10024973
     
  • The value of ecosystem collaboration: fleet life cycle data-based cost-benefit model   Order a copy of this article
    by Sini-Kaisu Kinnunen, Salla Marttonen-Arola, Timo Kärri 
    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.
    Keywords: fleet; asset management; data utilisation; benefits; costs; ecosystem; collaboration; value creation.
    DOI: 10.1504/IJISE.2020.10028952
     
  • Single commercial aircraft system value evaluation method based on requirements engineering and value driven design in a commercial aircraft preliminary design stage   Order a copy of this article
    by Cheng Chen, Nan Ma, Yang Song 
    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.
    Keywords: system value evaluation; requirements engineering; value driven design; VDD; analytic hierarchy process; AHP; commercial aircraft.
    DOI: 10.1504/IJISE.2020.10031490
     
  • Bi-objective reliable multi-product location-inventory problem design with perishable products and freshness-dependent demands   Order a copy of this article
    by Mohsen Aghajani, Parviz Fattahi, Vahid Hajipour 
    Abstract: This paper tackles a bi-objective location-inventory problem (LIP) in a three-echelon multi-product supply chain with perishable products. Demands from customers are stochastic and freshness-dependent. Moreover, reliability issues are considered in terms of three different levels of failures for the distribution centres, namely disastrous, serious and partial. We also assess how well the customers' demands are met with products that are fresh enough and regard this as a reliability indicator from the viewpoint of customers. The problem is formulated as a mixed integer nonlinear programming (MINLP) model and six multi-objective decision-making (MODM) methods namely individual optimisation method, goal programming method, LP metrics/global criteria method, utility function method, goal attainment method, and maxi-min method are applied to solve test problems of different sizes. Finally, to select the best method, we used the filtering/displaced ideal solution (DIS) method where the goal programming method turned out to outperform other methods. Goal programming was then applied for sensitivity analysis of the problem.
    Keywords: location-inventory; reliability; freshness dependent demand; perishable products.
    DOI: 10.1504/IJISE.2020.10025599
     
  • Representing a dynamic model of employees education in the path of industrial clusters development   Order a copy of this article
    by Masoumeh Danesh Shakib 
    Abstract: Nowadays, in most countries, small and medium sized enterprises (SMEs) play the role from the various aspects like economic, social, manufacturing and offering service. Therefore, the development of this sector has been considered in most developed and developing countries. On the other hand, the access to the local labour market can facilitate the development of this sector. This paper concentrates on the education of workforce in order to facilitate the development of industrial clusters and as a result the development of the country. The results show that if the intended policies apply, the cluster grow faster.
    Keywords: small and medium sized enterprises; SMEs; system dynamics; SD; industrial cluster; training; labour.
    DOI: 10.1504/IJISE.2020.10025607