Pub Date : 2017-03-24DOI: 10.1504/EJIE.2017.083249
Jamal Lmariouh, Leandro C. Coelho, Nizar Elhachemi, G. Laporte, A. Jamali, D. Bouami
In this paper we solve a real-life distribution problem faced by a Moroccan bottled water company dealing with a combination of inventory and distribution decisions. To manage its distribution process, the company uses a vendor-managed inventory system, which means that the supplier controls the inventory at the customers. This problem is known as the inventory-routing problem (IRP) in which both transportation and inventory costs are simultaneously minimised. Our real-life problem contains several types of bottled water that must be shipped from a supplier to a set of regional depots and wholesalers. Inventory costs are paid at both the plant and at the customers, and shipments are performed by a fleet of homogeneous vehicles. We propose an ad-hoc modification of IRP models and branch-and-cut algorithms. Computational tests were carried out on fifteen real-life-based instances. The results show that significant savings of almost 10% can be obtained. [Received 20 March 2016; Revised 21 August 2016; Accepted 10 September 2016]
{"title":"Solving a vendor-managed inventory routing problem arising in the distribution of bottled water in Morocco","authors":"Jamal Lmariouh, Leandro C. Coelho, Nizar Elhachemi, G. Laporte, A. Jamali, D. Bouami","doi":"10.1504/EJIE.2017.083249","DOIUrl":"https://doi.org/10.1504/EJIE.2017.083249","url":null,"abstract":"In this paper we solve a real-life distribution problem faced by a Moroccan bottled water company dealing with a combination of inventory and distribution decisions. To manage its distribution process, the company uses a vendor-managed inventory system, which means that the supplier controls the inventory at the customers. This problem is known as the inventory-routing problem (IRP) in which both transportation and inventory costs are simultaneously minimised. Our real-life problem contains several types of bottled water that must be shipped from a supplier to a set of regional depots and wholesalers. Inventory costs are paid at both the plant and at the customers, and shipments are performed by a fleet of homogeneous vehicles. We propose an ad-hoc modification of IRP models and branch-and-cut algorithms. Computational tests were carried out on fifteen real-life-based instances. The results show that significant savings of almost 10% can be obtained. [Received 20 March 2016; Revised 21 August 2016; Accepted 10 September 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.083249","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41705274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-24DOI: 10.1504/EJIE.2017.083255
L. Luo, Zhe Zhang, Yong Yin
As a flexible manufacturing system, seru seisan has been proven to be more competitive in a volatile market than traditional assembly line. In this system, seru loading plays an essential role to deal with the fluctuating demands and uncertain product types. Unfortunately, in practice, seru loading decision-making is mainly based on the supervisor's experience instead of the theoretical research. In this situation, seru loading in a single period under uncertainty is considered in this paper, meanwhile, a fuzzy random bi-objective model is developed to minimise the makespan and the total tardiness penalty cost. To deal with the fuzzy random variables, these uncertain parameters are transformed into the trapezoidal fuzzy variables, which are subsequently de-fuzzified by the optimistic-pessimistic adjustment index Me. After obtaining the equivalent crisp model, a heuristic algorithm based on enumerating feasible solutions is designed. Finally, to demonstrate the practicability, a numerical example is applied, and the generated results verify the efficiency of the proposed model and algorithm for seru loading problem. [Received: 28 April 2016; Revised: 28 July 2016; Accepted: 13 September 2016]
{"title":"Modelling and numerical analysis of seru loading problem under uncertainty","authors":"L. Luo, Zhe Zhang, Yong Yin","doi":"10.1504/EJIE.2017.083255","DOIUrl":"https://doi.org/10.1504/EJIE.2017.083255","url":null,"abstract":"As a flexible manufacturing system, seru seisan has been proven to be more competitive in a volatile market than traditional assembly line. In this system, seru loading plays an essential role to deal with the fluctuating demands and uncertain product types. Unfortunately, in practice, seru loading decision-making is mainly based on the supervisor's experience instead of the theoretical research. In this situation, seru loading in a single period under uncertainty is considered in this paper, meanwhile, a fuzzy random bi-objective model is developed to minimise the makespan and the total tardiness penalty cost. To deal with the fuzzy random variables, these uncertain parameters are transformed into the trapezoidal fuzzy variables, which are subsequently de-fuzzified by the optimistic-pessimistic adjustment index Me. After obtaining the equivalent crisp model, a heuristic algorithm based on enumerating feasible solutions is designed. Finally, to demonstrate the practicability, a numerical example is applied, and the generated results verify the efficiency of the proposed model and algorithm for seru loading problem. [Received: 28 April 2016; Revised: 28 July 2016; Accepted: 13 September 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.083255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45020983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-24DOI: 10.1504/EJIE.2017.083256
O. Al-Araidah, D. Dalalah, M. Azeez, M. Khasawneh
The paper presents a heuristic for clustering and picking small items in a man-aboard order picking system. The proposed heuristic clusters items such that the size of the cluster is bounded by the shape and dimensions of the work envelop of the picker. Where, the picking work envelop is determined considering maximum safe reach as a function of the anthropometric measures of the order picker. This allows the picker to safely pick more items per stop of the order picking platform. Moreover and to minimise total tour time, simulated annealing is used to solve the resulting travel salesperson problem. The proposed heuristic is tested on various order picking scenarios of small items. Analytical results show improvement in the cycle time of the order picking system compared to that obtained using heuristics from literature. [Received 6 September 2015; Revised 25 July 2016; Accepted 11 November 2016]
{"title":"A heuristic for clustering and picking small items considering safe reach of the order picker","authors":"O. Al-Araidah, D. Dalalah, M. Azeez, M. Khasawneh","doi":"10.1504/EJIE.2017.083256","DOIUrl":"https://doi.org/10.1504/EJIE.2017.083256","url":null,"abstract":"The paper presents a heuristic for clustering and picking small items in a man-aboard order picking system. The proposed heuristic clusters items such that the size of the cluster is bounded by the shape and dimensions of the work envelop of the picker. Where, the picking work envelop is determined considering maximum safe reach as a function of the anthropometric measures of the order picker. This allows the picker to safely pick more items per stop of the order picking platform. Moreover and to minimise total tour time, simulated annealing is used to solve the resulting travel salesperson problem. The proposed heuristic is tested on various order picking scenarios of small items. Analytical results show improvement in the cycle time of the order picking system compared to that obtained using heuristics from literature. [Received 6 September 2015; Revised 25 July 2016; Accepted 11 November 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.083256","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47158095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-24DOI: 10.1504/EJIE.2017.10003619
Aljoscha Gruler, Carlos L. Quintero-Araújo, Laura Calvet, A. Juan
Ongoing population growth in cities and increasing waste production has made the optimisation of urban waste management a critical task for local governments. Route planning in waste collection can be formulated as an extended version of the well-known vehicle routing problem, for which a wide range of solution methods already exist. Despite the fact that real-life applications are characterised by high uncertainty levels, most works on waste collection assume deterministic inputs. In order to partially close this literature gap, this paper first proposes a competitive metaheuristic algorithm based on a variable neighbourhood search framework for the deterministic waste collection problem. Then, this metaheuristic is extended to a simheuristic algorithm in order to deal with the stochastic problem version. This extension is achieved by integrating simulation into the metaheuristic framework, which also allows a closer risk analysis of the best-found stochastic solutions. Different computational experiments illustrate the potential of our methodology. [Received: 13 January 2016; Revised: 25 April 2016; Revised: 19 September 2016; Revised: 18 October 2016; Accepted: 25 October 2016]
{"title":"Waste collection under uncertainty: a simheuristic based on variable neighbourhood search","authors":"Aljoscha Gruler, Carlos L. Quintero-Araújo, Laura Calvet, A. Juan","doi":"10.1504/EJIE.2017.10003619","DOIUrl":"https://doi.org/10.1504/EJIE.2017.10003619","url":null,"abstract":"Ongoing population growth in cities and increasing waste production has made the optimisation of urban waste management a critical task for local governments. Route planning in waste collection can be formulated as an extended version of the well-known vehicle routing problem, for which a wide range of solution methods already exist. Despite the fact that real-life applications are characterised by high uncertainty levels, most works on waste collection assume deterministic inputs. In order to partially close this literature gap, this paper first proposes a competitive metaheuristic algorithm based on a variable neighbourhood search framework for the deterministic waste collection problem. Then, this metaheuristic is extended to a simheuristic algorithm in order to deal with the stochastic problem version. This extension is achieved by integrating simulation into the metaheuristic framework, which also allows a closer risk analysis of the best-found stochastic solutions. Different computational experiments illustrate the potential of our methodology. [Received: 13 January 2016; Revised: 25 April 2016; Revised: 19 September 2016; Revised: 18 October 2016; Accepted: 25 October 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44971837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-03-24DOI: 10.1504/EJIE.2017.083254
S. Sutono, S. H. Abdul-Rashid, Z. Taha, Subagyo, H. Aoyama
This paper presents a hybrid method to determine the optimum combination of product form features in Kansei engineering. This method integrates the Taguchi method and grey relational analysis (GRA) coupled with principal component analysis (PCA). Experiments are performed on a variety of passenger car form designs. The Taguchi's L27 OA is chosen to design the experiments and to generate the car silhouettes as design samples. GRA is used to solve the multi-response optimisation problem, while PCA is used to assign the weighting values of relevant Kansei responses. The results show that the hybrid method was able to solve the complexity trade-off encountered in the decision-making process of multi-response optimisation using an economical and effective experimental design method. The method also has the capability in determining the optimum combination of product form features and generating an optimised car form design which accommodates the multi-Kansei need of consumers in a systematic manner. [Submitted: 28 June 2014 ; Revised 5 March 2016; Accepted: 28 September 2016]
{"title":"Integration of grey-based Taguchi method and principal component analysis for multi-response decision-making in Kansei engineering","authors":"S. Sutono, S. H. Abdul-Rashid, Z. Taha, Subagyo, H. Aoyama","doi":"10.1504/EJIE.2017.083254","DOIUrl":"https://doi.org/10.1504/EJIE.2017.083254","url":null,"abstract":"This paper presents a hybrid method to determine the optimum combination of product form features in Kansei engineering. This method integrates the Taguchi method and grey relational analysis (GRA) coupled with principal component analysis (PCA). Experiments are performed on a variety of passenger car form designs. The Taguchi's L27 OA is chosen to design the experiments and to generate the car silhouettes as design samples. GRA is used to solve the multi-response optimisation problem, while PCA is used to assign the weighting values of relevant Kansei responses. The results show that the hybrid method was able to solve the complexity trade-off encountered in the decision-making process of multi-response optimisation using an economical and effective experimental design method. The method also has the capability in determining the optimum combination of product form features and generating an optimised car form design which accommodates the multi-Kansei need of consumers in a systematic manner. [Submitted: 28 June 2014 ; Revised 5 March 2016; Accepted: 28 September 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.083254","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41696306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-11DOI: 10.1504/EJIE.2017.081427
Qing-Mi Hu
Reconfiguring the merged hub-and-spoke networks (HSNs) improves the efficiency of logistics operations by optimally integrating logistics service resources. Typically, the reconfiguration of HSN focuses on minimising the operating cost, while ignoring service level and environmental considerations. This paper develops a novel optimisation strategy for HSN mergers problem, in which vehicle speeds are formulated as decision variables of a nonlinear multi-objective mixed-integer programming model that considers the vehicle emissions cost, on-time delivery cost and operating cost. To overcome the nonlinear complexity, the formulated model is transformed into a second-order mixed-integer cone programming model. Furthermore, the trade-offs between the vehicle emissions cost, on-time delivery cost and operating cost are analysed. The experimental results demonstrate that the new HSN optimisation strategy with vehicle speeds as the decision variables can significantly reduce the vehicle emissions cost, on-time delivery cost, and operating cost. [Received: 16 December 2015; Revised: 14 April 2016; Revised: 26 July 2016; Accepted: 29 July 2016]
{"title":"A reconfiguration optimisation model for hub-and-spoke network mergers","authors":"Qing-Mi Hu","doi":"10.1504/EJIE.2017.081427","DOIUrl":"https://doi.org/10.1504/EJIE.2017.081427","url":null,"abstract":"Reconfiguring the merged hub-and-spoke networks (HSNs) improves the efficiency of logistics operations by optimally integrating logistics service resources. Typically, the reconfiguration of HSN focuses on minimising the operating cost, while ignoring service level and environmental considerations. This paper develops a novel optimisation strategy for HSN mergers problem, in which vehicle speeds are formulated as decision variables of a nonlinear multi-objective mixed-integer programming model that considers the vehicle emissions cost, on-time delivery cost and operating cost. To overcome the nonlinear complexity, the formulated model is transformed into a second-order mixed-integer cone programming model. Furthermore, the trade-offs between the vehicle emissions cost, on-time delivery cost and operating cost are analysed. The experimental results demonstrate that the new HSN optimisation strategy with vehicle speeds as the decision variables can significantly reduce the vehicle emissions cost, on-time delivery cost, and operating cost. [Received: 16 December 2015; Revised: 14 April 2016; Revised: 26 July 2016; Accepted: 29 July 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.081427","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43171102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-11DOI: 10.1504/EJIE.2017.10002421
Kadir Ertogral, A. Akbalik, S. Gonzalez
We address a real strategic fleet sizing problem for a furniture and home accessory distributor. The current practice in the real case is to keep the inventory of items in self-owned branch showrooms. The distributor plans to go to a new system where the inventory is centrally held in a distribution centre. In the new system, the area that the distributor serves is split into regions with their assigned group of vehicles. Showrooms in each region only showcase the products, and pass the orders to the distributor and the distributor transports the required items from the central depot to the customers directly. We propose a mixed integer linear program to determine the total number and types of owned and rented vehicles for each region under seasonal demand. We study the effects of different scenarios on cost and demand parameters, and suggest some managerial insights based on a set of numerical analysis. [Received: 16 February 2016; Revised: 31 May 2016; Accepted: 20 June 2016]
{"title":"Modelling and analysis of a strategic fleet sizing problem for a furniture distributor","authors":"Kadir Ertogral, A. Akbalik, S. Gonzalez","doi":"10.1504/EJIE.2017.10002421","DOIUrl":"https://doi.org/10.1504/EJIE.2017.10002421","url":null,"abstract":"We address a real strategic fleet sizing problem for a furniture and home accessory distributor. The current practice in the real case is to keep the inventory of items in self-owned branch showrooms. The distributor plans to go to a new system where the inventory is centrally held in a distribution centre. In the new system, the area that the distributor serves is split into regions with their assigned group of vehicles. Showrooms in each region only showcase the products, and pass the orders to the distributor and the distributor transports the required items from the central depot to the customers directly. We propose a mixed integer linear program to determine the total number and types of owned and rented vehicles for each region under seasonal demand. We study the effects of different scenarios on cost and demand parameters, and suggest some managerial insights based on a set of numerical analysis. [Received: 16 February 2016; Revised: 31 May 2016; Accepted: 20 June 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45133753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-11DOI: 10.1504/EJIE.2017.081418
Saeed Behjat, Nasser Salmasi
In this research, the no-wait flowshop sequence dependent group scheduling problem with minimisation of total completion time, noted as Fm|nwt, fmls, Splk|ΣCj is approached. A mixed integer linear mathematical model is proposed for the research problem. Due to the NP-hard nature of the proposed problem, several metaheuristic algorithms based on particle swarm optimisation and variable neighbourhood search with different neighbourhood search structures are proposed to heuristically solve the problem. Also, an efficient heuristic algorithm is proposed to generate the initial feasible solutions for the proposed algorithms. The performances of the proposed algorithms are compared with each other and the best available one in the literature by using available test problems in the literature. Based on the results, the proposed metaheuristics with structure oriented initial solutions have a better performance than the algorithms with random-generated initial solutions. [Received 14 July 2015; Revised 22 September 2015; Accepted 30 May 2016]
{"title":"Total completion time minimisation of no-wait flowshop group scheduling problem with sequence dependent setup times","authors":"Saeed Behjat, Nasser Salmasi","doi":"10.1504/EJIE.2017.081418","DOIUrl":"https://doi.org/10.1504/EJIE.2017.081418","url":null,"abstract":"In this research, the no-wait flowshop sequence dependent group scheduling problem with minimisation of total completion time, noted as Fm|nwt, fmls, Splk|ΣCj is approached. A mixed integer linear mathematical model is proposed for the research problem. Due to the NP-hard nature of the proposed problem, several metaheuristic algorithms based on particle swarm optimisation and variable neighbourhood search with different neighbourhood search structures are proposed to heuristically solve the problem. Also, an efficient heuristic algorithm is proposed to generate the initial feasible solutions for the proposed algorithms. The performances of the proposed algorithms are compared with each other and the best available one in the literature by using available test problems in the literature. Based on the results, the proposed metaheuristics with structure oriented initial solutions have a better performance than the algorithms with random-generated initial solutions. [Received 14 July 2015; Revised 22 September 2015; Accepted 30 May 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.081418","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45361219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-11DOI: 10.1504/EJIE.2017.081416
Shun-Hsing Chen, Chu-Chuan Hsu, I-Ping Wu
Taiwan has achieved financial liberalisation and reduced many monetary control measures. When a market transforms into a buyer's market, entrepreneurs face highly competitive situations and should provide a type of enterprise value to attract customer attention. However, few studies have examined total quality management (TQM) and how the security industry can promote customer satisfaction and loyalty. The priorities of service providers should be developing a comprehensive TQM system, understanding customer needs and reducing the frequency of service gaps to achieve customer satisfaction and loyalty. Therefore, this study focuses on service industry angles for the negotiable securities industry and whether these angles affect the degree of customer satisfaction and loyalty through the use of TQM. This study included 516 security industry customers in Taiwan as the participants, applying structural equation modelling by using LISREL 8.51 to perform analyses. The customer satisfaction variable, as shown by the TQM variable adjustment, positively influences customer loyalty. [Received 2 August 2014; Revised 15 February 2015; Revised 3 August 2015; Accepted 30 May 2016]
{"title":"The effects of total quality management implications on customer satisfaction and customer loyalty: an empirical study in the Taiwanese security industry","authors":"Shun-Hsing Chen, Chu-Chuan Hsu, I-Ping Wu","doi":"10.1504/EJIE.2017.081416","DOIUrl":"https://doi.org/10.1504/EJIE.2017.081416","url":null,"abstract":"Taiwan has achieved financial liberalisation and reduced many monetary control measures. When a market transforms into a buyer's market, entrepreneurs face highly competitive situations and should provide a type of enterprise value to attract customer attention. However, few studies have examined total quality management (TQM) and how the security industry can promote customer satisfaction and loyalty. The priorities of service providers should be developing a comprehensive TQM system, understanding customer needs and reducing the frequency of service gaps to achieve customer satisfaction and loyalty. Therefore, this study focuses on service industry angles for the negotiable securities industry and whether these angles affect the degree of customer satisfaction and loyalty through the use of TQM. This study included 516 security industry customers in Taiwan as the participants, applying structural equation modelling by using LISREL 8.51 to perform analyses. The customer satisfaction variable, as shown by the TQM variable adjustment, positively influences customer loyalty. [Received 2 August 2014; Revised 15 February 2015; Revised 3 August 2015; Accepted 30 May 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.081416","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45032171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-11DOI: 10.1504/EJIE.2017.081417
M. Savino, A. Brun, Chen Xiang
This work focuses on the problem of non conformity (NC) characterisation in quality management systems (QMS) and introduces a fuzzy inference engine (FE) for NC analysis based on multi-stage quality control. The research has a twofold objective: 1) to characterise NCs based on risk analysis principles, 2) to define NC priorities. The FE is implemented according to the main requirements of the new ISO 9001:2015 Standard regarding risk analysis and NC assessment. The methodology was tested within an assembly line of mechanical components, where a number of NCs were detected and classified with respect to multiple features. Within this classification, risk analysis is explored through the use of failure mode effects and criticality analysis (FMECA). A risk criticality index (RCI) is defined and evaluated, which addresses NC criticality and the relative action priorities. [Received 28 January 2016; Revised 25 March 2016; Accepted 24 June 2016]
{"title":"A fuzzy-based multi-stage quality control under the ISO 9001:2015 requirements","authors":"M. Savino, A. Brun, Chen Xiang","doi":"10.1504/EJIE.2017.081417","DOIUrl":"https://doi.org/10.1504/EJIE.2017.081417","url":null,"abstract":"This work focuses on the problem of non conformity (NC) characterisation in quality management systems (QMS) and introduces a fuzzy inference engine (FE) for NC analysis based on multi-stage quality control. The research has a twofold objective: 1) to characterise NCs based on risk analysis principles, 2) to define NC priorities. The FE is implemented according to the main requirements of the new ISO 9001:2015 Standard regarding risk analysis and NC assessment. The methodology was tested within an assembly line of mechanical components, where a number of NCs were detected and classified with respect to multiple features. Within this classification, risk analysis is explored through the use of failure mode effects and criticality analysis (FMECA). A risk criticality index (RCI) is defined and evaluated, which addresses NC criticality and the relative action priorities. [Received 28 January 2016; Revised 25 March 2016; Accepted 24 June 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2017.081417","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45203192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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