Robust Optimization of Closed-Loop Supply Chain Operations under Third-Party Recycling Volume Uncertainty Analysis

Ni Yang ()
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Ni Yang: Fuzhou University

A chapter in Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024), 2024, pp 39-48 from Springer

Abstract: Abstract In order to improve the collaborative operation performance of a closed-loop supply chain system under the uncertain environment of waste product recycling volume, a multi-objective robust optimization method based on scenario analysis was developed for a third-party recycling-type closed-loop supply chain system consisting of suppliers, manufacturers and third-party recycling-type closed-loop supply chain system composed of suppliers, manufacturers and recycling processing centers, a multi-objective robust optimization model is established using a robust optimization method based on scenario analysis.. The model takes into full consideration the overall coordination of the system operation and also meets the profit maximization goal of each enterprise. The example analysis shows that through the robust optimization analysis shows that through the robust optimization control, the overall profit of the system and the profit of each enterprise can be stabilized within a certain range under the fluctuation of the recycling volume of waste products. When the recycling rate is increased, the overall profit of each enterprise and the system can be increased significantly.

Keywords: closed-loop supply chain; robust optimization; uncertainty (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-598-0_6

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DOI: 10.2991/978-94-6463-598-0_6

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