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Title Building a demand-oriented optimal model for the recycling of used electronic products
ID_Doc 25345
Authors Lv, XD; Li, AF; Wang, SH; Zhang, T
Title Building a demand-oriented optimal model for the recycling of used electronic products
Year 2023
Published Environment Development And Sustainability, 25, 7
DOI 10.1007/s10668-022-02287-6
Abstract The recycling and remanufacturing of used electronic products are the great significance to environmental governance and resource management. From the demand perspective of remanufactured products, this paper proposes a demand-oriented recycling model of used electronic products based on the reverse supply chain and cooperative game theory. Taking cost-benefit analysis as the basis of the benefits model of the participants in the electronic waste product recycling system, a static multi-stage game model and a dynamic cooperative game model are established, there is an optimal strategy at each stage which may not be unique, depending on the decision model constructed. In the static multi-stage recycling mode, the strategic decisions at all stages are all based on the same demand for remanufactured products, the strategy decision at each stage of the recycling mode of waste electronic products is based on the multi-stage demand prediction of remanufactured products. The cost optimization of each link in the static multi-stage is to realize the optimal strategy combination of participants in each link. The study concluded that by setting demand as the main goal, both recycling and remanufacturing companies can improve their own benefits by realizing an optimal cost combination.
Author Keywords Circular economy; Product recycling; Demand oriented; Reverse supply chain management
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000774633300001
WoS Category Green & Sustainable Science & Technology; Environmental Sciences
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
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