A multi-objective robust supply chain design considering reliability

This paper designed a four-echelon supply chain network consist of suppliers, manufacturers, distributors and customers. Here, the allocation of raw materials and products is subject to random disruptions based on weather conditions, natural events, and ownership changes. This is an unprecedented re...

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Veröffentlicht in:Journal of industrial and production engineering Jg. 36; H. 6; S. 385 - 400
Hauptverfasser: Gholami, Faezeh, Paydar, Mohammad Mahdi, Hajiaghaei-Keshteli, Mostafa, Cheraghalipour, Armin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 18.08.2019
Taylor & Francis Ltd
Schlagworte:
Component reliability
Customer satisfaction
Decision making
Distributors
Integer programming
Linear programming
Mixed integer
multi-objective optimization
Multiple objective analysis
Network reliability
Optimization
Parameter uncertainty
Raw materials
reliability
Suppliers
Supply chain management
Supply chains
uncertainty
Weather
ISSN:2168-1015, 2168-1023
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Abstract This paper designed a four-echelon supply chain network consist of suppliers, manufacturers, distributors and customers. Here, the allocation of raw materials and products is subject to random disruptions based on weather conditions, natural events, and ownership changes. This is an unprecedented research to simultaneously consider the parameters uncertainty and reliability of the components in a dynamic chain with multiple products. The model is a multi-objective mixed integer linear programming into which the uncertainty is incorporated by using the robust optimization. The model seeks to minimize the network's costs while the both manufacturer and customer satisfaction are maximized. To solve the model, three multi-objective decision-making methods are investigated and the best method is selected according to its performance in several examples. Also, suppliers and distributors with the highest reliability are obtained which, it enables managers to make the proper decision on both strategic and operational levels of their firms' policies.
AbstractList This paper designed a four-echelon supply chain network consist of suppliers, manufacturers, distributors and customers. Here, the allocation of raw materials and products is subject to random disruptions based on weather conditions, natural events, and ownership changes. This is an unprecedented research to simultaneously consider the parameters uncertainty and reliability of the components in a dynamic chain with multiple products. The model is a multi-objective mixed integer linear programming into which the uncertainty is incorporated by using the robust optimization. The model seeks to minimize the network's costs while the both manufacturer and customer satisfaction are maximized. To solve the model, three multi-objective decision-making methods are investigated and the best method is selected according to its performance in several examples. Also, suppliers and distributors with the highest reliability are obtained which, it enables managers to make the proper decision on both strategic and operational levels of their firms' policies.
Author Hajiaghaei-Keshteli, Mostafa
Paydar, Mohammad Mahdi
Cheraghalipour, Armin
Gholami, Faezeh
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  givenname: Mohammad Mahdi
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  fullname: Paydar, Mohammad Mahdi
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  organization: Department of Industrial Engineering, Babol Noshirvani University of Technology
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  givenname: Armin
  orcidid: 0000-0002-8782-8948
  surname: Cheraghalipour
  fullname: Cheraghalipour, Armin
  organization: Department of Industrial Engineering, K. N. Toosi University of Technology
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Snippet This paper designed a four-echelon supply chain network consist of suppliers, manufacturers, distributors and customers. Here, the allocation of raw materials...
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SubjectTerms Component reliability
Customer satisfaction
Decision making
Distributors
Integer programming
Linear programming
Mixed integer
multi-objective optimization
Multiple objective analysis
Network reliability
Optimization
Parameter uncertainty
Raw materials
reliability
Suppliers
Supply chain management
Supply chains
uncertainty
Weather
Title A multi-objective robust supply chain design considering reliability
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