Pub Date : 2018-09-11DOI: 10.1504/EJIE.2018.10015687
Katayut Kamano, Y. Chou
For pickup and delivery service with multiple couriers, collaboration between couriers through hub transshipment has the potential of improving customer waiting time and courier workload. However, transshipment collaboration calls for postponing the delivery of some jobs to the next time period for the benefit of the greater whole. Therefore, new ideas for mitigating the penalty on those postponed jobs should be further investigated. To this end, this paper presents an analysis of a service policy for two categories of jobs, regular and urgent, under two performance measures for a dynamic environment. For this policy, dominance relationships between routing solutions are derived. A routing method is then developed. Numerical results show that the proposed policy and method is practical in constructing an efficient front in the waiting-time and workload performance space. This paper bridges a methodology gap in applying collaborative hub transshipment to dynamic pickup and delivery services. [Received 28 February 2017; Revised 29 January 2018; Accepted 14 May 2018]
{"title":"A transshipment policy for dynamic pickup and delivery services with dual objectives","authors":"Katayut Kamano, Y. Chou","doi":"10.1504/EJIE.2018.10015687","DOIUrl":"https://doi.org/10.1504/EJIE.2018.10015687","url":null,"abstract":"For pickup and delivery service with multiple couriers, collaboration between couriers through hub transshipment has the potential of improving customer waiting time and courier workload. However, transshipment collaboration calls for postponing the delivery of some jobs to the next time period for the benefit of the greater whole. Therefore, new ideas for mitigating the penalty on those postponed jobs should be further investigated. To this end, this paper presents an analysis of a service policy for two categories of jobs, regular and urgent, under two performance measures for a dynamic environment. For this policy, dominance relationships between routing solutions are derived. A routing method is then developed. Numerical results show that the proposed policy and method is practical in constructing an efficient front in the waiting-time and workload performance space. This paper bridges a methodology gap in applying collaborative hub transshipment to dynamic pickup and delivery services. [Received 28 February 2017; Revised 29 January 2018; Accepted 14 May 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48084066","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 : 2018-08-01DOI: 10.1504/EJIE.2018.093634
Weihua Liu, Di Wang, O. Tang, D. Zhu
This paper studies a two-echelon logistics service supply chain (LSSC) composed of one logistics service integrator (LSI) and one functional logistics service provider (FLSP). We develop a two-period service capacity procurement model where market demand surges in the second period. The LSI, as the Stackelberg game leader, tends to be overconfident when market demand surges. The results show that when the demand surges in the second period, if the overconfident purchasing capacity of LSI cannot meet the market demand, the overconfidence behaviour will negatively affect LSI's optimal pricing. Besides, the overconfidence behaviour leads to the lowest service level of the FLSP in the second period under demand surge. However, such negative impacts can be reduced or even eliminated in certain conditions through the FLSP-led mechanism and the dynamic wholesale price mechanism. The numerical simulation and the case study from China are used to illustrate the model and draw some conclusions. [Received 17 August 2017; Revised 19 February 2018; Accepted 30 March 2018]
{"title":"The impacts of logistics service integrator's overconfidence behaviour on supply chain decision under demand surge","authors":"Weihua Liu, Di Wang, O. Tang, D. Zhu","doi":"10.1504/EJIE.2018.093634","DOIUrl":"https://doi.org/10.1504/EJIE.2018.093634","url":null,"abstract":"This paper studies a two-echelon logistics service supply chain (LSSC) composed of one logistics service integrator (LSI) and one functional logistics service provider (FLSP). We develop a two-period service capacity procurement model where market demand surges in the second period. The LSI, as the Stackelberg game leader, tends to be overconfident when market demand surges. The results show that when the demand surges in the second period, if the overconfident purchasing capacity of LSI cannot meet the market demand, the overconfidence behaviour will negatively affect LSI's optimal pricing. Besides, the overconfidence behaviour leads to the lowest service level of the FLSP in the second period under demand surge. However, such negative impacts can be reduced or even eliminated in certain conditions through the FLSP-led mechanism and the dynamic wholesale price mechanism. The numerical simulation and the case study from China are used to illustrate the model and draw some conclusions. [Received 17 August 2017; Revised 19 February 2018; Accepted 30 March 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.093634","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49049059","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 : 2018-08-01DOI: 10.1504/EJIE.2018.10014740
M. Karatas, Ilknur Karacan, H. Tozan
This study presents a synthesis on the application of multi-criteria decision making (MCDM) methodologies as an innovative tool to provide a more robust and reliable selection or ranking processes for health technology assessment (HTA). HTA is described as the 'systematic' evaluation of health related technologies with respect to multiple criteria. Thus, to carry out effective HTA processes, decision-makers should consider utilising integrated or hybrid decision making processes. In this study, we develop a decision support tool called 'DEMATSEL' which serves as an integrated MCDM methodology in fuzzy environments. Our integrated approach combines four widely-used MCDM methods, viz. fuzzy AHP, fuzzy TOPSIS, fuzzy VIKOR and goal programming. We demonstrate the effectiveness of our proposed novel approach on a fuzzy HTA case study of bariatric surgery selection in Turkey. [Submitted 4 July 2017; Revised 30 December 2017; Accepted 27 February 2018]
{"title":"An integrated multi-criteria decision making methodology for health technology assessment","authors":"M. Karatas, Ilknur Karacan, H. Tozan","doi":"10.1504/EJIE.2018.10014740","DOIUrl":"https://doi.org/10.1504/EJIE.2018.10014740","url":null,"abstract":"This study presents a synthesis on the application of multi-criteria decision making (MCDM) methodologies as an innovative tool to provide a more robust and reliable selection or ranking processes for health technology assessment (HTA). HTA is described as the 'systematic' evaluation of health related technologies with respect to multiple criteria. Thus, to carry out effective HTA processes, decision-makers should consider utilising integrated or hybrid decision making processes. In this study, we develop a decision support tool called 'DEMATSEL' which serves as an integrated MCDM methodology in fuzzy environments. Our integrated approach combines four widely-used MCDM methods, viz. fuzzy AHP, fuzzy TOPSIS, fuzzy VIKOR and goal programming. We demonstrate the effectiveness of our proposed novel approach on a fuzzy HTA case study of bariatric surgery selection in Turkey. [Submitted 4 July 2017; Revised 30 December 2017; Accepted 27 February 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49367087","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 : 2018-08-01DOI: 10.1504/EJIE.2018.093574
Dongmin Shin, M. Mittal, B. Sarkar
This paper develops two centralised two-echelon supply chain models with the trade-credit financing and inspection errors. Both models follow a single-setup-multi-delivery (SSMD) policy and each delivery is designed using the just-in-time (JIT) method to increase the efficiency of the supply chain. In first model, the random defective rate is assumed and each delivered item goes through inspection process at the buyer's end due to the contract with vendor, because vendor gives a trade-credit support to buyer. In second model, human errors of Type I and Type II are considered due to tiredness and ignorance of the inspector during inspection process. The joint annual cost of supply chain is minimised with respect to order quantity and number of shipments. Finally, some numerical examples, sensitivity analysis, and graphical representations are given to illustrate more savings from existing literature. [Received 13 December 2015; Revised 19 June 2016; Accepted 28 June 2016]
{"title":"Effects of human errors and trade-credit financing in two-echelon supply chain models","authors":"Dongmin Shin, M. Mittal, B. Sarkar","doi":"10.1504/EJIE.2018.093574","DOIUrl":"https://doi.org/10.1504/EJIE.2018.093574","url":null,"abstract":"This paper develops two centralised two-echelon supply chain models with the trade-credit financing and inspection errors. Both models follow a single-setup-multi-delivery (SSMD) policy and each delivery is designed using the just-in-time (JIT) method to increase the efficiency of the supply chain. In first model, the random defective rate is assumed and each delivered item goes through inspection process at the buyer's end due to the contract with vendor, because vendor gives a trade-credit support to buyer. In second model, human errors of Type I and Type II are considered due to tiredness and ignorance of the inspector during inspection process. The joint annual cost of supply chain is minimised with respect to order quantity and number of shipments. Finally, some numerical examples, sensitivity analysis, and graphical representations are given to illustrate more savings from existing literature. [Received 13 December 2015; Revised 19 June 2016; Accepted 28 June 2016]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.093574","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49424584","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 : 2018-08-01DOI: 10.1504/EJIE.2018.10014670
Venkata Prasad Palakiti, Usha Mohan, V. Ganesan
This paper studies the order acceptance and scheduling (OAS) problem in an identical parallel machine environment where orders are characterised by their revenues, processing times and weights. A mixed integer linear programming (MILP) model is presented for the problem with the objective of maximising the revenue minus the scheduling cost. The problem is NP- hard and a branch and bound (B%B) algorithm is developed to solve the problem. An extension of the B%B algorithm is proposed to solve very large problem instances to obtain e-optimal solutions. The B%B algorithm and the extended B%B are evaluated for their performances against the solutions obtained by solving the MILP problem formulation using CPLEX solver through computational experiments. [Received 15 June 2017; Revised 2 February 2018; Accepted 10 March 2018]
{"title":"Order acceptance and scheduling in a parallel machine environment with weighted completion time","authors":"Venkata Prasad Palakiti, Usha Mohan, V. Ganesan","doi":"10.1504/EJIE.2018.10014670","DOIUrl":"https://doi.org/10.1504/EJIE.2018.10014670","url":null,"abstract":"This paper studies the order acceptance and scheduling (OAS) problem in an identical parallel machine environment where orders are characterised by their revenues, processing times and weights. A mixed integer linear programming (MILP) model is presented for the problem with the objective of maximising the revenue minus the scheduling cost. The problem is NP- hard and a branch and bound (B%B) algorithm is developed to solve the problem. An extension of the B%B algorithm is proposed to solve very large problem instances to obtain e-optimal solutions. The B%B algorithm and the extended B%B are evaluated for their performances against the solutions obtained by solving the MILP problem formulation using CPLEX solver through computational experiments. [Received 15 June 2017; Revised 2 February 2018; Accepted 10 March 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46110507","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 : 2018-08-01DOI: 10.1504/EJIE.2018.10014810
Weihua Liu, Xiaoyu Yan, Wanying Wei, Dong Xie, Di Wang
In order to obtain the feasible condition that both the logistics service integrator (LSI) and functional logistics service provider (FLSP) have altruistic preferences, this paper establishes four investment decision models with Stackelberg game. It is found that supply chain coordination can not be achieved when both the LSI and FLSP have altruistic preferences, then the ex-post payment contract and 'revenue sharing + franchise fee' contract are proposed to solve this problem. Some important conclusions are found. First, when both the LSI and FLSP have altruistic preferences, the utilities of LSI and FLSP are higher than the utilities when only the LSI or FLSP has an altruistic preference. Second, both contracts can increase the utilities of LSI and FLSP when the range of altruistic preference coefficients meets a specific constraint. Third, when the LSI's altruistic preference degree is equal to the FLSP's altruistic preference degree, the supply chain profit can reach the highest level. [Received 1 October 2017; Revised 3 October 2017; Accepted 15 April 2018]
{"title":"Altruistic preference for investment decisions in the logistics service supply chain","authors":"Weihua Liu, Xiaoyu Yan, Wanying Wei, Dong Xie, Di Wang","doi":"10.1504/EJIE.2018.10014810","DOIUrl":"https://doi.org/10.1504/EJIE.2018.10014810","url":null,"abstract":"In order to obtain the feasible condition that both the logistics service integrator (LSI) and functional logistics service provider (FLSP) have altruistic preferences, this paper establishes four investment decision models with Stackelberg game. It is found that supply chain coordination can not be achieved when both the LSI and FLSP have altruistic preferences, then the ex-post payment contract and 'revenue sharing + franchise fee' contract are proposed to solve this problem. Some important conclusions are found. First, when both the LSI and FLSP have altruistic preferences, the utilities of LSI and FLSP are higher than the utilities when only the LSI or FLSP has an altruistic preference. Second, both contracts can increase the utilities of LSI and FLSP when the range of altruistic preference coefficients meets a specific constraint. Third, when the LSI's altruistic preference degree is equal to the FLSP's altruistic preference degree, the supply chain profit can reach the highest level. [Received 1 October 2017; Revised 3 October 2017; Accepted 15 April 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48670010","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 : 2018-05-25DOI: 10.1504/EJIE.2018.092007
A. Taleizadeh, Shima Rezvan-Beydokhti, L. Cárdenas-Barrón
Recently, companies have an increasing interest in online purchasing or e-shopping. However, in this type of buying the customer cannot validate the quality of the products. Thus, they trust in the return policy as a signal of a good quality. If the customers are not satisfied then they can return the products and refund their money back. This research deals with the problem of joint determination of the optimal selling price, refund policy and quality level for complementary products in an online purchasing. It is assumed that the demand of each product is a function of price, refund and quality level. Furthermore, return policy is also a function of refund and quality level; and return quantity of the products is affected by the return quantity of the other product. The profit maximisation model is illustrated with a numerical example. [Received: 12 February 2015; Revised: 25 August 2017; Accepted: 31 January 2018]
{"title":"Joint determination of the optimal selling price, refund policy and quality level for complementary products in online purchasing","authors":"A. Taleizadeh, Shima Rezvan-Beydokhti, L. Cárdenas-Barrón","doi":"10.1504/EJIE.2018.092007","DOIUrl":"https://doi.org/10.1504/EJIE.2018.092007","url":null,"abstract":"Recently, companies have an increasing interest in online purchasing or e-shopping. However, in this type of buying the customer cannot validate the quality of the products. Thus, they trust in the return policy as a signal of a good quality. If the customers are not satisfied then they can return the products and refund their money back. This research deals with the problem of joint determination of the optimal selling price, refund policy and quality level for complementary products in an online purchasing. It is assumed that the demand of each product is a function of price, refund and quality level. Furthermore, return policy is also a function of refund and quality level; and return quantity of the products is affected by the return quantity of the other product. The profit maximisation model is illustrated with a numerical example. [Received: 12 February 2015; Revised: 25 August 2017; Accepted: 31 January 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.092007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66756052","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 : 2018-05-25DOI: 10.1504/EJIE.2018.092010
Maria A. C. Tinoco, Camila Costa Dutra, J. Ribeiro, R. Miorando, C. S. Caten
This paper presents an integrated model for the evaluation and probabilistic optimisation of project portfolios, integrating economic, social and environmental impacts analysis. The contribution of the proposed model lies in: 1) an extended list of criteria covering economic, social and environmental aspects; 2) use of financial measures, which are easily understood; 3) use of Monte Carlo simulation to cope with variability; 4) use of mathematical optimisation to deal with constraints and/or large amount of information. A practical test carried out in a company is reported and confirms the applicability and usefulness of the model. The integration of approaches for sustainable assessment of business projects and selection and optimisation of project portfolio is deficient in literature. Thereby, the proposed model is presented as an alternative to conduct integrated analysis and define optimal project portfolio for sustainable development in business contexts characterised by uncertainties. [Received: 26 October 2015; Revised: 26 August 2017; Revised: 1 March 2018; Accepted: 1 March 2018]
{"title":"An integrated model for evaluation and optimisation of business project portfolios","authors":"Maria A. C. Tinoco, Camila Costa Dutra, J. Ribeiro, R. Miorando, C. S. Caten","doi":"10.1504/EJIE.2018.092010","DOIUrl":"https://doi.org/10.1504/EJIE.2018.092010","url":null,"abstract":"This paper presents an integrated model for the evaluation and probabilistic optimisation of project portfolios, integrating economic, social and environmental impacts analysis. The contribution of the proposed model lies in: 1) an extended list of criteria covering economic, social and environmental aspects; 2) use of financial measures, which are easily understood; 3) use of Monte Carlo simulation to cope with variability; 4) use of mathematical optimisation to deal with constraints and/or large amount of information. A practical test carried out in a company is reported and confirms the applicability and usefulness of the model. The integration of approaches for sustainable assessment of business projects and selection and optimisation of project portfolio is deficient in literature. Thereby, the proposed model is presented as an alternative to conduct integrated analysis and define optimal project portfolio for sustainable development in business contexts characterised by uncertainties. [Received: 26 October 2015; Revised: 26 August 2017; Revised: 1 March 2018; Accepted: 1 March 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.092010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45799827","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 : 2018-05-25DOI: 10.1504/EJIE.2018.092006
Nadia Bahria, A. Chelbi, I. Dridi, H. Bouchriha
This paper addresses the problem of integration of maintenance and quality control in manufacturing systems which are subject to a degradation process that directly affects the quality of the produced items. Process and product quality control is carried out using an 'x-bar' control chart. According to the average of the measurements of the quality indicator x compared to monitoring and control limits, it is decided to undertake or not a maintenance action that can be either preventive or corrective. A mathematical model is developed to determine the optimal values of the decision variables that are: the sample size, the sampling interval, the number of samples, as well as the monitoring and the control limits of the control chart. The objective is to minimise the average total cost per time unit integrating maintenance and quality costs. A numerical example and a sensitivity analysis are presented to illustrate the proposed approach. [Received: 5 May 2017; Revised: 26 October 2017; Accepted: 23 December 2017]
{"title":"Maintenance and quality control integrated strategy for manufacturing systems","authors":"Nadia Bahria, A. Chelbi, I. Dridi, H. Bouchriha","doi":"10.1504/EJIE.2018.092006","DOIUrl":"https://doi.org/10.1504/EJIE.2018.092006","url":null,"abstract":"This paper addresses the problem of integration of maintenance and quality control in manufacturing systems which are subject to a degradation process that directly affects the quality of the produced items. Process and product quality control is carried out using an 'x-bar' control chart. According to the average of the measurements of the quality indicator x compared to monitoring and control limits, it is decided to undertake or not a maintenance action that can be either preventive or corrective. A mathematical model is developed to determine the optimal values of the decision variables that are: the sample size, the sampling interval, the number of samples, as well as the monitoring and the control limits of the control chart. The objective is to minimise the average total cost per time unit integrating maintenance and quality costs. A numerical example and a sensitivity analysis are presented to illustrate the proposed approach. [Received: 5 May 2017; Revised: 26 October 2017; Accepted: 23 December 2017]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.092006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49137590","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 : 2018-05-25DOI: 10.1504/EJIE.2018.092009
Michael Arias, J. Munoz-Gama, M. Sepúlveda, J. C. Miranda
Dynamic resource allocation is considered a major challenge in the context of business process management. At the operational level, flexible methods that support resource allocation and which consider different criteria at run-time are required. It is also important that these methods are able to support multiple allocations in a simultaneous manner. In this paper, we present a framework based on multi-factor criteria that proposes a recommender system which is capable of recommending the most suitable resources for executing a range of different activities, while also considering individual requests or requests made in blocks. To evaluate the proposed framework, a number of experiments were conducted using different test scenarios. These scenarios provide evidence that our approach based on multi-factor criteria successfully allocates the most suitable resources for executing a process in real and flexible environments. In order to demonstrate this assertion, we use a help-desk process as a real case study. [Received: 19 May 2017; Revised: 23 October 2017; Accepted: 31 January 2018]
{"title":"Human resource allocation or recommendation based on multi-factor criteria in on-demand and batch scenarios","authors":"Michael Arias, J. Munoz-Gama, M. Sepúlveda, J. C. Miranda","doi":"10.1504/EJIE.2018.092009","DOIUrl":"https://doi.org/10.1504/EJIE.2018.092009","url":null,"abstract":"Dynamic resource allocation is considered a major challenge in the context of business process management. At the operational level, flexible methods that support resource allocation and which consider different criteria at run-time are required. It is also important that these methods are able to support multiple allocations in a simultaneous manner. In this paper, we present a framework based on multi-factor criteria that proposes a recommender system which is capable of recommending the most suitable resources for executing a range of different activities, while also considering individual requests or requests made in blocks. To evaluate the proposed framework, a number of experiments were conducted using different test scenarios. These scenarios provide evidence that our approach based on multi-factor criteria successfully allocates the most suitable resources for executing a process in real and flexible environments. In order to demonstrate this assertion, we use a help-desk process as a real case study. [Received: 19 May 2017; Revised: 23 October 2017; Accepted: 31 January 2018]","PeriodicalId":51047,"journal":{"name":"European Journal of Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/EJIE.2018.092009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43860731","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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