An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty

JOURNAL OF CLEANER PRODUCTION

卷:242

Article

Govindan, Kannan^1,2  Mina, Hassan³  Esmaeili, Ali³  Gholami-Zanjani, Seyed Mohammad⁴ 

[1] Shanghai Maritime Univ, China Inst FTZ Supply Chain, Shanghai 201306, Peoples R China

[2] Univ Southern Denmark, Dept Technol & Innovat, Ctr Sustainable Supply Chain Engn, DK-5230 Odense M, Denmark

[3] Univ Tehran, Sch Ind Engn, Coll Engn, Tehran, Iran

[4] Iran Univ Sci & Technol, Sch Ind Engn, Tehran, Iran

关键词: Circular supplier selection;    Circular closed-loop supply chain;    Order allocation;    Analysis network process;    DEMATEL;    Fuzzy theory;   

DOI  :  10.1016/j.jclepro.2019.118317

来源: Elsevier

【 摘 要 】

In recent decades, reverse logistics has garnered considerable attention since it recovers value of returning products, satisfies environmental requirements, and pays attention to customers' rights. Suppliers, as the first layer of the supply chain network, pose a great impact on environmental pollution. Therefore, in this paper a hybrid approach of fuzzy analysis network process (FANP), fuzzy decision-making trial and evaluation laboratory (FDEMATEL), and multi-objective mixed-integer linear programming (MOMILP) models are developed for circular supplier selection and order allocation in a multiproduct circular closed-loop supply chain (C-CLSC) considering multi-depot, capacitated green routing problem using heterogeneous vehicles. In this regard, a mathematical model concerning an inventory-location-routing problem is developed that minimises cost and shortage simultaneously and also deals with imposed uncertainties. A fuzzy solution approach is proposed to simultaneously incorporate uncertainty and to change the multi-objective model into a single-objective model. To motivate the practical aspect of the proposed model in real world applications, we applied the model to an automotive timing belt manufacturer. The obtained results indicate that the proposed model is cost efficient and environmentally friendly for CLSC network designs. (c) 2019 Elsevier Ltd. All rights reserved.

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