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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Veröffentlicht in:Environment, development and sustainability Jg. 24; H. 6; S. 8779 - 8806
Hauptverfasser: Alinezhad, Masoud, Mahdavi, Iraj, Hematian, Milad, Tirkolaee, Erfan Babaee
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer Netherlands 01.06.2022
Springer Nature B.V
Schlagworte:
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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Zusammenfassung: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.
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ISSN:1387-585X
1573-2975
DOI:10.1007/s10668-021-01809-y