Abstract
Today, the increased public concern about sustainable development and more stringent environmental regulations have become important driving forces for value recovery from end-of-life and end-of use products through reverse logistics. Waste electrical and electronic equipment (WEEE) contains both valuable components that need to be recycled and hazardous substances that have to be properly treated or disposed of, so the design of a reverse logistics system for sustainable treatment of WEEE is of paramount importance. This paper presents a stochastic mixed integer programming model for designing and planning a generic multi-source, multi-echelon, capacitated, and sustainable reverse logistics network for WEEE management under uncertainty. The model takes into account both economic efficiency and environmental impacts in decision-making, and the environmental impacts are evaluated in terms of carbon emissions. A multi-criteria two-stage scenario-based solution method is employed and further developed in this study for generating the optimal solution for the stochastic optimization problem. The proposed model and solution method are validated through a numerical experiment and sensitivity analyses presented later in this paper, and an analysis of the results is also given to provide a deep managerial insight into the application of the proposed stochastic optimization model.
Highlights
Today, with rapid technological advancement and economic development, the manufacturing of electrical and electronic products has become one of the most rapidly developing and growing industries [1,2,3]
The proposed mathematical model aims at determining the optimal conffiiguration of the reverse logistics system for Waste Electrical and Electronic Equipment (WEEE), which includes the locations of regional collection centers and recycling plants, and the material flflows between different facilities
This paper presents a novel stochastic mixed integer programming model for the design of a generic multi-source, multi-echelon, and capacitated reverse logistics system for WEEE in an economic efficient and environmental friendly manner
Summary
With rapid technological advancement and economic development, the manufacturing of electrical and electronic products has become one of the most rapidly developing and growing industries [1,2,3]. Gomes et al [23] develop a generic mixed integer program for multi-product reverse logistics network design of WEEE; the model determines the best locations of collection and sorting centers and the material flows in each route. The proposed mathematical model aims at determining the optimal conffiiguration of the reverse logistics system for WEEE, which includes the locations of regional collection centers and recycling plants, and the material flflows between different facilities. Equations (28) and (29) are the binary constraint and non-negative constraint for the decision variables
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