A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries

Nowadays, the intensification of a competitive environment in markets in conjunction with sustainability issues has forced organizations to concentrate on designing sustainable closed-loop supply chains. In this study, a sustainable closed-loop supply chain network is configured under uncertain cond...

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Vydáno v:	Environment, development and sustainability Ročník 24; číslo 6; s. 8779 - 8806
Hlavní autoři:	Alinezhad, Masoud, Mahdavi, Iraj, Hematian, Milad, Tirkolaee, Erfan Babaee
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.06.2022 Springer Nature B.V
Témata:	Attainment Business competition Carbon footprint Case studies Client satisfaction consumer satisfaction Customer satisfaction Dairy industry Earth and Environmental Science Ecology Economic Geology Economic Growth Environment Environmental aspects Environmental Economics Environmental Management Food chains Food industry Food processing industry Food supply Fuzzy multi-objective optimization models for sustainable supply chain management in the era of reglobalization: Current status and future challenges Goal attainment method Integer programming Linear programming Mixed integer Multiple objective analysis Network design Networks Objective function Objectives Optimization Optimization models Outsourcing S.I.: Fuzzy optimization models Satisfaction Supply supply chain Supply chains Sustainability Sustainable Development Taxation Uncertainty Lp-metric method Fuzzy linear programming Customer satisfaction Sustainable development Closed-loop supply chain Food industry
ISSN:	1387-585X, 1573-2975
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Abstract	Nowadays, the intensification of a competitive environment in markets in conjunction with sustainability issues has forced organizations to concentrate on designing sustainable closed-loop supply chains. In this study, a sustainable closed-loop supply chain network is configured under uncertain conditions based on fuzzy theory. The proposed network is a multi-product multi-period problem which is formulated by a bi-objective mixed-integer linear programming model with fuzzy demand and return rate. The objectives are to maximize the supply chain profit and customer satisfaction at the same time. Moreover, the carbon footprint is included in the first objective function in terms of cost (tax) to affect the total profit and treat the environmental aspect. Fuzzy linear programming and Lp-metric method are then applied to deal with the uncertainty and bi-objectiveness of the model, respectively. In order to validate the methodology, a case study problem in the dairy industry is investigated where the proposed Lp-metric is also compared to goal attainment method. The obtained results demonstrate the superiority of Lp-metric against goal attainment method as well as the applicability and efficiency of the proposed methodology to treat a real case study problem. Furthermore, from the management perspective, outsourcing the production during high-demand periods is highly recommended as an efficient solution.
AbstractList	Nowadays, the intensification of a competitive environment in markets in conjunction with sustainability issues has forced organizations to concentrate on designing sustainable closed-loop supply chains. In this study, a sustainable closed-loop supply chain network is configured under uncertain conditions based on fuzzy theory. The proposed network is a multi-product multi-period problem which is formulated by a bi-objective mixed-integer linear programming model with fuzzy demand and return rate. The objectives are to maximize the supply chain profit and customer satisfaction at the same time. Moreover, the carbon footprint is included in the first objective function in terms of cost (tax) to affect the total profit and treat the environmental aspect. Fuzzy linear programming and Lp-metric method are then applied to deal with the uncertainty and bi-objectiveness of the model, respectively. In order to validate the methodology, a case study problem in the dairy industry is investigated where the proposed Lp-metric is also compared to goal attainment method. The obtained results demonstrate the superiority of Lp-metric against goal attainment method as well as the applicability and efficiency of the proposed methodology to treat a real case study problem. Furthermore, from the management perspective, outsourcing the production during high-demand periods is highly recommended as an efficient solution. Nowadays, the intensification of a competitive environment in markets in conjunction with sustainability issues has forced organizations to concentrate on designing sustainable closed-loop supply chains. In this study, a sustainable closed-loop supply chain network is configured under uncertain conditions based on fuzzy theory. The proposed network is a multi-product multi-period problem which is formulated by a bi-objective mixed-integer linear programming model with fuzzy demand and return rate. The objectives are to maximize the supply chain profit and customer satisfaction at the same time. Moreover, the carbon footprint is included in the first objective function in terms of cost (tax) to affect the total profit and treat the environmental aspect. Fuzzy linear programming and Lp-metric method are then applied to deal with the uncertainty and bi-objectiveness of the model, respectively. In order to validate the methodology, a case study problem in the dairy industry is investigated where the proposed Lp-metric is also compared to goal attainment method. The obtained results demonstrate the superiority of Lp-metric against goal attainment method as well as the applicability and efficiency of the proposed methodology to treat a real case study problem. Furthermore, from the management perspective, outsourcing the production during high-demand periods is highly recommended as an efficient solution.
Author	Mahdavi, Iraj Alinezhad, Masoud Tirkolaee, Erfan Babaee Hematian, Milad
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Copyright	The Author(s), under exclusive licence to Springer Nature B.V. 2021 The Author(s), under exclusive licence to Springer Nature B.V. 2021.
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SubjectTerms	Attainment Business competition Carbon footprint Case studies Client satisfaction consumer satisfaction Customer satisfaction Dairy industry Earth and Environmental Science Ecology Economic Geology Economic Growth Environment Environmental aspects Environmental Economics Environmental Management Food chains Food industry Food processing industry Food supply Fuzzy multi-objective optimization models for sustainable supply chain management in the era of reglobalization: Current status and future challenges Goal attainment method Integer programming Linear programming Mixed integer Multiple objective analysis Network design Networks Objective function Objectives Optimization Optimization models Outsourcing S.I.: Fuzzy optimization models Satisfaction Supply supply chain Supply chains Sustainability Sustainable Development Taxation Uncertainty
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Title	A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries
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