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A comprehensive framework for sustainable closed-loop supply chain network design

Tavana, M ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.jclepro.2021.129777
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Many companies face challenges in reducing their supply chain costs while increasing sustainability and customer service levels. A comprehensive framework for a sustainable closed-loop supply chain (CLSC) network is a practical solution to these challenges. Hence, for the first time, this study considers an integrated multi-objective mixed-integer linear programming (MOMILP) model to design sustainable CLSC networks with cross-docking, location-inventory-routing, time window, supplier selection, order allocation, transportation modes with simultaneous pickup, and delivery under uncertainty. An intelligent simulation algorithm is proposed to produce CLSC network data with probabilistic distribution functions and feasible solution space. In addition, a fuzzy goal programming approach is proposed to solve the MOMILP model under uncertainty. Eight small and medium-size test problems are used to evaluate the performance of the proposed model with the simulated data in GAMS software. The results obtained from test problems and sensitivity analysis show the efficacy of the proposed model. © 2021 The Authors
  6. Keywords:
  7. Sustainable CLSC ; Distribution functions ; Integer programming ; Linear programming ; Multiobjective optimization ; Network routing ; Pickups ; Sensitivity analysis ; Software testing ; Closed-loop ; Closed-loop supply chain networks ; Fuzzy goal programming ; Inventory routing ; Location-inventory-routing ; Mixed integer linear programming model ; Multi objective ; Network design ; Pickup and delivery ; Sustainable closed-loop supply chain ; Supply chains
  8. Source: Journal of Cleaner Production ; Volume 332 , 2022 ; 09596526 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0959652621039536