文献类型：期刊文献

英文题名：Copper Closed-Loop Supply Chain Network Design Based on a Two-Stage Stochastic Programming Model Considering Uncertain Market Prices

作者：Shen, Mou[1];Guo, Ying[2];Gao, Hui[3];Ren, Hongtao[1]

机构：[1]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Cent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China;[3]China Natl Petr Corp, Econ & Technol Res Inst, Beijing 100724, Peoples R China

年份：2025

卷号：17

期号：20

外文期刊名：SUSTAINABILITY

收录：;WOS:【SSCI(收录号:WOS:001602652000001)，SCI-EXPANDED(收录号:WOS:001602652000001)】；

基金：This research and the APC was financially supported by the National Natural Science Foundation of China (No. 72371102).

语种：英文

外文关键词：copper; closed-loop supply chain (CLSC); stochastic programming; uncertainty; optimization

摘要：Copper is a critically important metal for economic security, and its supply chain is influenced by various factors, particularly market prices. This paper aims to uncover the impact of high uncertainty in copper prices on the copper supply chain (CSC) configuration and propose strategies for CSC construction. To achieve this goal, this study presents a closed-loop supply chain (CLSC) network, simulates copper market volatility using the geometric Brownian motion (GBM) model, and establishes a two-stage stochastic programming (TSSP) model. An empirical study was conducted using geographical and economic data of the CSC in the Chinese province of Hunan. The research results indicate that there is a threshold in copper prices that can lead to the construction of a reverse supply chain (RSC). However, significant fluctuations in copper prices introduce uncertainty into the supply chain network configuration. Therefore, policy measures to encourage copper scrap recycling should be implemented to maintain the safety of the CLSC during market instability. The proposed modelling framework for addressing fluctuation factors in supply chain design has been validated and can be promoted to other similar industries affected by markets.