Nayeri S., Paydar M.M., Asadi-Gangraj E., Emami S. (2020). Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design. Computers & Industrial Engineering, 01/10/2020, vol. 148, p. 1-16.
https://doi.org/10.1016/j.cie.2020.106716
https://doi.org/10.1016/j.cie.2020.106716
Titre : | Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design (2020) |
Auteurs : | S. Nayeri ; M.M. Paydar ; E. Asadi-Gangraj ; S. Emami |
Type de document : | Article |
Dans : | Computers & Industrial Engineering (vol. 148, October 2020) |
Article en page(s) : | p. 1-16 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 09 - ENTREPRISES ; 9.1 - Entreprise généralités (gestion, organisation)Thésaurus IAMM CHAINE D'APPROVISIONNEMENT ; ENTREPRISE ; ECONOMIE CIRCULAIRE ; PROTECTION DE L'ENVIRONNEMENT ; DURABILITE ; APPROVISIONNEMENT ; LOGISTIQUE INVERSE ; GESTION DE LA RELATION CLIENT ; LOGISTIQUE ; DEVELOPPEMENT DURABLE ; MODELE MATHEMATIQUE |
Résumé : | Nowadays, the importance of sustainable development has persuaded the supply chain managers to shift their network to sustainable supply. This research develops a multi-objective mathematical model to configure a Sustainable Closed-Loop Supply Chain (SCLSC) network for a water tank considering sustainability measures. The goals of the proposed model are optimizing financial, environmental and social impacts of the SCLSC. Generally, the uncertainty exists in configuring the SCLSC network problem according to the changes in the business environment (like transportation costs and demand). As a result, a Fuzzy Robust Optimization (FRO) is applied to cope with uncertainty in this study. Then, the proposed model is solved using the goal programming approach. The numerical results showed some insightful observations regarding planning and strategic decisions for the SCLSC network design. Finally, several sensitivity analyses are carried out on some important parameters, the changes in objective functions are investigated and the robustness of the proposed model is examined. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/j.cie.2020.106716 |