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Title Designing a sustainable multi-channel supply chain distribution network: A case study
ID_Doc 71475
Authors Vafaei, A; Yaghoubi, S; Tajik, J; Barzinpour, F
Title Designing a sustainable multi-channel supply chain distribution network: A case study
Year 2020
Published
DOI 10.1016/j.jclepro.2019.119628
Abstract The existence of numerous social, economic, and environmental problems and the need to improve the long-term performance in organizations have led the supply chain designs toward sustainable designs. On the other hand, due to the emersion of new technologies and the creation of new business models, the increase of competition level among retailers and the raise of customers expectations, the use of a multi-channel distribution system is nowadays growing. Therefore, the appropriate distribution channel according to the product type and the number of vehicles for the transportation of the products is a significant and important issue in retailing systems. In this regard, in this paper, a mixed-integer programming model for the sustainable distribution network design, considering multi-product, multi-echelon and multi-transportation mode especially third party logistics (3PL), is presented. The economic, environmental, and social objectives are mathematically formulated, where these objectives include: 1) minimizing transportation costs, purchasing vehicles and building warehouses as the first objective, 2) minimizing the amount of carbon dioxide released by transport vehicles and building warehouses, 3) maximizing the number of job opportunities. After linearization of the proposed model, it is solved using the goal programming technique by GAMS software. Finally, to evaluate the applicability of the proposed mathematical model, Digikala company is used as a case study. (C) 2019 Elsevier Ltd. All rights reserved.
Author Keywords Sustainable distribution network design; Retailing system; Multiple channels; Goal programming; Third party logistics (3PL)
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000510823700039
WoS Category Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences
Research Area Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
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