A robust optimization model for multi-objective multi-period supply chain planning under uncertainty considering quantity discounts
This paper addresses a new robust multi-objective multi-period model for supply chain planning under uncertainty considering quantity discounts. The proposed model maximizes the current profit of the distributor by making a balance between the total costs of the supply chain and the distributor comp...
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| Vydané v: | Journal of industrial and production engineering Ročník 35; číslo 4; s. 214 - 228 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Abingdon
Taylor & Francis Ltd
19.05.2018
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| ISSN: | 2168-1015, 2168-1023 |
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| Abstract | This paper addresses a new robust multi-objective multi-period model for supply chain planning under uncertainty considering quantity discounts. The proposed model maximizes the current profit of the distributor by making a balance between the total costs of the supply chain and the distributor company's revenues of selling products and also maximizes the company's expected profit by introducing brands and taking the risk of loss on it. Considering uncertainty in the purchasing cost, selling fees, and demand fluctuations, the new robust multi-objective mixed-integer programming model is solved as a single-objective mixed-integer programming model by utilizing the LP-metrics method. By settling regulatory penalty parameters and considering different economic scenarios, the robustness and effectiveness of the developed model are verified with the data from BEH PAKHSH Company, a commodities distributor in Iran. The outcomes show that the proposed model is a promising approach to run an efficient supply chain. |
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| AbstractList | This paper addresses a new robust multi-objective multi-period model for supply chain planning under uncertainty considering quantity discounts. The proposed model maximizes the current profit of the distributor by making a balance between the total costs of the supply chain and the distributor company's revenues of selling products and also maximizes the company's expected profit by introducing brands and taking the risk of loss on it. Considering uncertainty in the purchasing cost, selling fees, and demand fluctuations, the new robust multi-objective mixed-integer programming model is solved as a single-objective mixed-integer programming model by utilizing the LP-metrics method. By settling regulatory penalty parameters and considering different economic scenarios, the robustness and effectiveness of the developed model are verified with the data from BEH PAKHSH Company, a commodities distributor in Iran. The outcomes show that the proposed model is a promising approach to run an efficient supply chain. |
| Author | Jouzdani, Javid Mahdavi, Iraj Rahimi, Erfan Paydar, Mohammad Mahdi Arabsheybani, Amir |
| Author_xml | – sequence: 1 givenname: Erfan surname: Rahimi fullname: Rahimi, Erfan organization: Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol - Iran – sequence: 2 givenname: Mohammad Mahdi surname: Paydar fullname: Paydar, Mohammad Mahdi organization: Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran – sequence: 3 givenname: Iraj surname: Mahdavi fullname: Mahdavi, Iraj organization: Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol - Iran – sequence: 4 givenname: Javid surname: Jouzdani fullname: Jouzdani, Javid organization: Department of Industrial Engineering, Golpayegan University of Technology, Golpayegan, Iran – sequence: 5 givenname: Amir surname: Arabsheybani fullname: Arabsheybani, Amir organization: Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran |
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| SubjectTerms | Commodities Discounts Economic models Food processing industry Integer programming Mathematical programming Multiple objective analysis Optimization models Robustness Supply chains Uncertainty Variation |
| Title | A robust optimization model for multi-objective multi-period supply chain planning under uncertainty considering quantity discounts |
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