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发表时间：2019-11-04

论文类型：期刊论文

发表时间：2020-01-10

发表刊物：JOURNAL OF CLEANER PRODUCTION

收录刊物：EI、SCIE

卷号：243

ISSN号：0959-6526

关键字：Assembly-recycling system; Reverse logistics; Superstructure; Uncertainty; Fuzzy optimization

摘要：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.