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Indexed by:Journal Papers

Date of Publication:2020-01-10

Journal:JOURNAL OF CLEANER PRODUCTION

Included Journals:EI、SCIE

Volume:243

ISSN No.:0959-6526

Key Words:Assembly-recycling system; Reverse logistics; Superstructure; Uncertainty; Fuzzy optimization

Abstract:This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its multi-product multi-echelon superstructure. Multiple sources of raw materials including components and parts are considered at different stages of the forward assembly process. The problem investigates three recycling options for final products, semi-products and modules. Various types of uncertainties on return flow and waste flow are investigated. To optimize the dual-system superstructure, the problem is hereby modeled by a fuzzy mixed integer linear programming approach. Piecewise linear membership functions are constructed for the objectives to represent the diversified satisfactory degrees which preferably comply with the real-world decision scenarios. Further, an interactive fuzzy optimization approach is developed to solve the problem by differentiating the piece-wise sections of satisfactory degrees. Finally, an electronic assembly plant with its own recycling process is chosen as the industrial case to implement the proposed approach. Sensitivity analysis and comparison under different scenarios are presented to demonstrate the effectiveness on obtaining compromised solutions under diversified satisfactory degrees in such an uncertain environment. (C) 2019 Elsevier Ltd. All rights reserved.