Abstract
Increasing concerns for sustainable development have motivated the study of closed-loop supply chain network design from a multidimensional perspective. To cope with such issues, this paper presents a general closed-loop supply chain network comprising various recovery options and further formulates a multi-objective mixed-integer linear programming model considering enterprise profit and service level simultaneously. Within this model, market segmentation is also considered to meet real-world operating conditions. Moreover, an ε -constraint method and two interactive fuzzy approaches are applied to find a global optimum for this model together with the decisions on the numbers, locations, and capacities of the facilities, as well as the material flow through the network. Ultimately, numerical experiments are conducted to demonstrate the viability and effectiveness of both the proposed model and solution approaches.
Highlights
During the last few decades, great attention has been paid to the practice of collecting and reusing used up products, involving almost all of the manufacturing industries [1]
We present a Sustainability 2020, 12, 544 more detailed analysis of the related work that takes into account multiple recovery options and multi-objective network design problems and present the main contributions of this paper
The majority of relevant papers were about the reverse logistics (RL) and closed-loop supply chain (CLSC) network design focusing on the remanufacturing or recycling option for all returned products (e.g., [15,16]), due to the obvious economic and ecological benefits obtained from the circular economy
Summary
During the last few decades, great attention has been paid to the practice of collecting and reusing used up products, involving almost all of the manufacturing industries [1]. Based on the aforementioned considerations, this paper addresses the issue of multi-objective and multi-echelon supply chain network design, including manufactures, distribution centers, customer zones, disassembly centers (collection/inspection centers), redistribution centers, and disposal centers in the network. In this model, we incorporate the forward and reverse logistics in a general CLSC model, and embed multiple recovery options as a distinct decision differing from the recycling-or-dispose choice.
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