Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380179
F. Campuzano-Bolarín, J. Mula, Manuel Díaz-Madroñero
This paper models a traditional supply chain with three levels, manufacturer and retailer, for managing the orders and inventories of perishable products. A hybrid approach, based on systems dynamics and optimization, was used to reduce the bullwhip effect along the supply chain, increase fill rates and reduce total costs (order, inventory and stockout costs). The hybrid approach, with optimization, was able to improve the results for perishable products. This model was also tested by using an electronic point of sales (EPOS) collaborative supply chain structure, which gave improved results.
{"title":"A supply chain dynamics model for managing perishable products under different e-business scenarios","authors":"F. Campuzano-Bolarín, J. Mula, Manuel Díaz-Madroñero","doi":"10.1109/IESM.2015.7380179","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380179","url":null,"abstract":"This paper models a traditional supply chain with three levels, manufacturer and retailer, for managing the orders and inventories of perishable products. A hybrid approach, based on systems dynamics and optimization, was used to reduce the bullwhip effect along the supply chain, increase fill rates and reduce total costs (order, inventory and stockout costs). The hybrid approach, with optimization, was able to improve the results for perishable products. This model was also tested by using an electronic point of sales (EPOS) collaborative supply chain structure, which gave improved results.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"457 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122808345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380223
K. Jenoui, A. Abouabdellah
The purchasing function is the strongest link in the hospital supply chain. The stakes which are related to it are often complex and difficult to define. Public institutions and hospitals are all invited to master these link operations, with a particular focus on the hospital-supplier relationship. One of the most crucial is the selection of the right supplier, which is based on both qualitative and quantitative criteria. However, few methods and tools are available to guide the decision-maker to make optimal choices based on different types of criteria. Therefore, we propose in this paper a new heuristic for a common optimum work between hospitals and suppliers, in order create a value control in costs, deadlines and quality. Our paper is composed of five parts. The first shows the interest of the study. The second presents the literature review. The third explains the problematic situation. The fourth sets out our work methodology and the proposed model. In the fifth part, we illustrate the proposed methodology through a case study. And we finish our paper with a conclusion and work prospects.
{"title":"Implementation of a decision support system heuristic for selecting suppliers in the hospital sector","authors":"K. Jenoui, A. Abouabdellah","doi":"10.1109/IESM.2015.7380223","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380223","url":null,"abstract":"The purchasing function is the strongest link in the hospital supply chain. The stakes which are related to it are often complex and difficult to define. Public institutions and hospitals are all invited to master these link operations, with a particular focus on the hospital-supplier relationship. One of the most crucial is the selection of the right supplier, which is based on both qualitative and quantitative criteria. However, few methods and tools are available to guide the decision-maker to make optimal choices based on different types of criteria. Therefore, we propose in this paper a new heuristic for a common optimum work between hospitals and suppliers, in order create a value control in costs, deadlines and quality. Our paper is composed of five parts. The first shows the interest of the study. The second presents the literature review. The third explains the problematic situation. The fourth sets out our work methodology and the proposed model. In the fifth part, we illustrate the proposed methodology through a case study. And we finish our paper with a conclusion and work prospects.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127126129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380187
M. Bertolini, Giovanni Romagnoli, F. Zammori
The goal of this paper is to analyze and compare the performances of two Hybrid Production Planning and Control (HPPCs) systems, namely CONWIP and Workload Control. Although several implementations of HPPCs reported excellent results, in fact, many authors have discharged the concept, arguing that these systems can only reduce manufacturing lead times and control WIP to the detriment of production rate, punctuality or service level. The paper starts from a brief review of the literature on HPPCs. Afterwards, the paper uses a common simulation model from the literature to compare two simple and easy-to-implement configurations of CONWIP and Workload Control against the baseline of a classic push system. The results of the simulations lead to important conclusions and suggest interesting improvements of simulation models and future directions of research for better understanding HPPCs.
{"title":"Simulation of two hybrid production planning and control systems: A comparative analysis","authors":"M. Bertolini, Giovanni Romagnoli, F. Zammori","doi":"10.1109/IESM.2015.7380187","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380187","url":null,"abstract":"The goal of this paper is to analyze and compare the performances of two Hybrid Production Planning and Control (HPPCs) systems, namely CONWIP and Workload Control. Although several implementations of HPPCs reported excellent results, in fact, many authors have discharged the concept, arguing that these systems can only reduce manufacturing lead times and control WIP to the detriment of production rate, punctuality or service level. The paper starts from a brief review of the literature on HPPCs. Afterwards, the paper uses a common simulation model from the literature to compare two simple and easy-to-implement configurations of CONWIP and Workload Control against the baseline of a classic push system. The results of the simulations lead to important conclusions and suggest interesting improvements of simulation models and future directions of research for better understanding HPPCs.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380262
Victor Fernandez-Viagas, J. Framiñan
The permutation flowshop scheduling and the single machine scheduling problems are two classical problems in the scheduling literature. Since the former is known to be NP-hard for more than two machines, hundreds of algorithms have been implemented in the last decades to solve it. Furthermore, several computational studies have found that the permutation flowshop to minimise makespan is easily solvable for structured (i.e. processing times are job- and/or machine-correlated) instances and when the initial availability of all machines for processing jobs cannot be assumed. Our working hypothesis to explain this behaviour is that, under certain conditions of machine availability or structured processing times, only one stage in the flowshop layout determines the optimal sequence, approximately transforming the flowshop scheduling problem into a single machine scheduling problem. Since the single machine scheduling problem with makespan objective is a trivial problem where all feasible sequences are optimal, such transformation may explain why it is so easy to find good solutions for such flowshop scheduling problems. Therefore, the goal of this paper is to study under which assumptions a permutation flowshop scheduling problem can be reduced to a single machine scheduling problem. More specifically, we focus onto the two most common objectives in the literature (i.e. makespan and total flowtime). Our work is a combination of theoretical and computational analysis, therefore several properties are derived, together with an extensive computational evaluation.
{"title":"Boundary lines between permutation flowshop problems and single machine problems","authors":"Victor Fernandez-Viagas, J. Framiñan","doi":"10.1109/IESM.2015.7380262","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380262","url":null,"abstract":"The permutation flowshop scheduling and the single machine scheduling problems are two classical problems in the scheduling literature. Since the former is known to be NP-hard for more than two machines, hundreds of algorithms have been implemented in the last decades to solve it. Furthermore, several computational studies have found that the permutation flowshop to minimise makespan is easily solvable for structured (i.e. processing times are job- and/or machine-correlated) instances and when the initial availability of all machines for processing jobs cannot be assumed. Our working hypothesis to explain this behaviour is that, under certain conditions of machine availability or structured processing times, only one stage in the flowshop layout determines the optimal sequence, approximately transforming the flowshop scheduling problem into a single machine scheduling problem. Since the single machine scheduling problem with makespan objective is a trivial problem where all feasible sequences are optimal, such transformation may explain why it is so easy to find good solutions for such flowshop scheduling problems. Therefore, the goal of this paper is to study under which assumptions a permutation flowshop scheduling problem can be reduced to a single machine scheduling problem. More specifically, we focus onto the two most common objectives in the literature (i.e. makespan and total flowtime). Our work is a combination of theoretical and computational analysis, therefore several properties are derived, together with an extensive computational evaluation.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114011415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380314
Fan Li, A. Etienne, A. Siadat, F. Vernadat
The necessity to simultaneously satisfy different stakeholders' objectives in an industrial project or in a process requires efficient performance management for decision-making. With the characteristics of multi-dimensions and dynamic nature of performance and the proliferation of evaluation criteria, the design and construction of performance measurement and management systems are facing new challenges. However, none of the existing methodologies and tools can globally satisfy this expectation. In this context, a new methodological framework, named BCVR, has been developed to help decision-makers in performance management and decision-making processes on the basis of four assessment dimensions, namely: benefit, cost, value and risk. In this paper, the basic concepts and the main mechanisms of the proposed framework are presented with an illustration about supplier selection risk assessment in a typical supply chain process.
{"title":"BCVR: A methodological framework for industrial performance management and decision-support","authors":"Fan Li, A. Etienne, A. Siadat, F. Vernadat","doi":"10.1109/IESM.2015.7380314","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380314","url":null,"abstract":"The necessity to simultaneously satisfy different stakeholders' objectives in an industrial project or in a process requires efficient performance management for decision-making. With the characteristics of multi-dimensions and dynamic nature of performance and the proliferation of evaluation criteria, the design and construction of performance measurement and management systems are facing new challenges. However, none of the existing methodologies and tools can globally satisfy this expectation. In this context, a new methodological framework, named BCVR, has been developed to help decision-makers in performance management and decision-making processes on the basis of four assessment dimensions, namely: benefit, cost, value and risk. In this paper, the basic concepts and the main mechanisms of the proposed framework are presented with an illustration about supplier selection risk assessment in a typical supply chain process.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124582250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380201
Ayoub Alami Masmoudi, M. Benbrahim
This work is an extension of previous works [1], [2], [3] about scheduling jobs on identical parallel machines with constraints of unavailabilities to minimize the makespan. We are interested in this paper on the case with two identical parallel machines such that each machine is unavailable for one unavailability period such that the preemption of jobs is not allowed. We are divided this problem on five cases and for each of them we are proposed a heuristic to minimize the makespan. The obtained results, compared with those of Chien and Liao [13], show that our heuristics quit efficient in solving large problems.
{"title":"New heuristics to minimize makespan for two identical parallel machines with one constraint of unavailability on each machine","authors":"Ayoub Alami Masmoudi, M. Benbrahim","doi":"10.1109/IESM.2015.7380201","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380201","url":null,"abstract":"This work is an extension of previous works [1], [2], [3] about scheduling jobs on identical parallel machines with constraints of unavailabilities to minimize the makespan. We are interested in this paper on the case with two identical parallel machines such that each machine is unavailable for one unavailability period such that the preemption of jobs is not allowed. We are divided this problem on five cases and for each of them we are proposed a heuristic to minimize the makespan. The obtained results, compared with those of Chien and Liao [13], show that our heuristics quit efficient in solving large problems.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127707401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380175
Qinyun Li
This conference session invites reflection on how to design and/or manage a supply chain system from supply chain dynamics perspective. It emphasizes the interactions between supply chain players and the economic consequences. The most popular topic of supply chain dynamics is called “bullwhip effect”. It is the term used to describe the scenario that orders upstream tend to have large fluctuations than the sales downstream. It produces severe impact on the suppliers' performance such as excessive capacity, labor idling and over-time; eventually these costs will be passed onto customers. The area has received considerable attention in the past two decades, but there are still many open questions. Although many reasons jeopardize the performance of the supply chain, the issue of supply chain dynamics might be universal. A local farm would be vulnerable facing the bullwhip effect due to the products' perishable feature. A multinational might suffer because of the geographical dispersion.
{"title":"Supply chain dynamics","authors":"Qinyun Li","doi":"10.1109/IESM.2015.7380175","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380175","url":null,"abstract":"This conference session invites reflection on how to design and/or manage a supply chain system from supply chain dynamics perspective. It emphasizes the interactions between supply chain players and the economic consequences. The most popular topic of supply chain dynamics is called “bullwhip effect”. It is the term used to describe the scenario that orders upstream tend to have large fluctuations than the sales downstream. It produces severe impact on the suppliers' performance such as excessive capacity, labor idling and over-time; eventually these costs will be passed onto customers. The area has received considerable attention in the past two decades, but there are still many open questions. Although many reasons jeopardize the performance of the supply chain, the issue of supply chain dynamics might be universal. A local farm would be vulnerable facing the bullwhip effect due to the products' perishable feature. A multinational might suffer because of the geographical dispersion.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127772321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380150
N. Rezg, D. Aït-Kadi
This session aims to highlight some different research areas with regards to the reliability and maintenance problems.
本次会议旨在重点介绍有关可靠性和维护问题的一些不同研究领域。
{"title":"Reliability and maintenance - 1","authors":"N. Rezg, D. Aït-Kadi","doi":"10.1109/IESM.2015.7380150","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380150","url":null,"abstract":"This session aims to highlight some different research areas with regards to the reliability and maintenance problems.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129127318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380173
S. Rahimi, Ali Jamshidi, D. Ait-kadi, Angel Ruiz Bartolome
Because of insufficient capacity of hospitals, all patients on waiting lists can't be treated immediately. Then, patients must be prioritized for treatment based on variety of factors. But, current decisions regarding patients' prioritization have been criticized as being highly subjective and inadequate to assess urgency and case-mix of patients. This study presents a new risk based prioritization framework using fuzzy soft sets, in an attempt to overcome the limitations of current approaches. The proposed framework can aid hospitals' decision makers to evaluate and select the high-risk patients in uncertain and complex environments. In order to show the effectiveness of the proposed framework, a numerical study for surgical patients' prioritization is considered. The numerical study suggests that the proposed framework not only considers various perspectives and risks in determining patients' priorities, but also remains noticeably robust as shown by sensitivity analysis. This framework can increases patients' safety, quality of care, and decrease uncertainties and total risks that threaten patients on waiting lists. Besides it can have significant impact on both the medical community and the public's faith in justice and equity.
{"title":"Risk-based decision making framework for prioritizing patients' access to healthcare services by considering uncertainties","authors":"S. Rahimi, Ali Jamshidi, D. Ait-kadi, Angel Ruiz Bartolome","doi":"10.1109/IESM.2015.7380173","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380173","url":null,"abstract":"Because of insufficient capacity of hospitals, all patients on waiting lists can't be treated immediately. Then, patients must be prioritized for treatment based on variety of factors. But, current decisions regarding patients' prioritization have been criticized as being highly subjective and inadequate to assess urgency and case-mix of patients. This study presents a new risk based prioritization framework using fuzzy soft sets, in an attempt to overcome the limitations of current approaches. The proposed framework can aid hospitals' decision makers to evaluate and select the high-risk patients in uncertain and complex environments. In order to show the effectiveness of the proposed framework, a numerical study for surgical patients' prioritization is considered. The numerical study suggests that the proposed framework not only considers various perspectives and risks in determining patients' priorities, but also remains noticeably robust as shown by sensitivity analysis. This framework can increases patients' safety, quality of care, and decrease uncertainties and total risks that threaten patients on waiting lists. Besides it can have significant impact on both the medical community and the public's faith in justice and equity.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114275325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380120
R. Martí
Black box optimizers have a long tradition in the field of operations research. These procedures treat the objective function evaluation as a black box and therefore do not take advantage of its specific structure. Black-box optimization refers to the process in which there is a complete separation between the evaluation of the objective function -and perhaps other functions used to enforce constraints- and the solution procedure. The challenge of optimizing black boxes is to develop methods that can produce outcomes of reasonable quality without taking advantage of problem structure and employing a computational effort that is adequate for the context.
{"title":"Black-Box solvers in combinatorial optimization","authors":"R. Martí","doi":"10.1109/IESM.2015.7380120","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380120","url":null,"abstract":"Black box optimizers have a long tradition in the field of operations research. These procedures treat the objective function evaluation as a black box and therefore do not take advantage of its specific structure. Black-box optimization refers to the process in which there is a complete separation between the evaluation of the objective function -and perhaps other functions used to enforce constraints- and the solution procedure. The challenge of optimizing black boxes is to develop methods that can produce outcomes of reasonable quality without taking advantage of problem structure and employing a computational effort that is adequate for the context.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114477703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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