Designing sustainable closed-loop supply chain network with considering spot-to-point inflation and carbon emission policies: A case study

•A sustainable closed-loop supply chain network is designed under uncertainty.•Economic, Social and environmental aspects of the design are considered.•A real case study is investigated.•Sensitivity analyses on parameters of the proposed model are provided. This paper uses a fuzzy robust stochastic...

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Bibliographic Details
Published in:	Computers & industrial engineering Vol. 174; p. 108748
Main Authors:	Kalantari, Saeid, Kazemipoor, Hamed, Movahedi Sobhani, Farzad, Mohammad Hadji Molana, Seyed
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2022
Subjects:	Fuzzy robust optimization Hybrid algorithm Net present value (NPV) Spot-to-point Inflation (STPI) Sustainable closed-loop supply chain network (SCLSCN) Net present value (NPV) Spot-to-point Inflation (STPI) Fuzzy robust optimization Sustainable closed-loop supply chain network (SCLSCN) Hybrid algorithm
ISSN:	0360-8352, 1879-0550
Online Access:	Get full text
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Summary:	•A sustainable closed-loop supply chain network is designed under uncertainty.•Economic, Social and environmental aspects of the design are considered.•A real case study is investigated.•Sensitivity analyses on parameters of the proposed model are provided. This paper uses a fuzzy robust stochastic optimization (FRSO) approach and a new hybrid algorithm of genetic algorithm (GA) and multi-choice goal programming with Utility Function (MCGP-UF) to minimize environmental impacts (EI) while maximizing net present value (NPV) and social impacts (SI) in a sustainable closed-loop supply chain (SCLSC) in a case study has been proposed under hybrid uncertainty with considering spot-to-point inflation (STPI). The resulting mixed-integer linear programming (MILP) model has been applied to the electronic industry. The proposed model is evaluated in several experiments and discussed in different scenarios to prove the efficiency and performance comparison and validation of the proposed method. The results of this study double the share of the article (i) Effective improvement of the obtained solutions by reducing the solution time by 25% showed that the proposed method can be responsible for large-scale problems. (ii) Sensitivity analysis on parameters such as demand, inflation, costs, and capacity showed which scenario has the most impact on the strategic and tactical decisions of companies.
ISSN:	0360-8352 1879-0550
DOI:	10.1016/j.cie.2022.108748