计算机应用研究2025，Vol.42Issue(1)：242-249,8.DOI:10.19734/j.issn.1001-3695.2024.06.0156
激励相容理论下再制造绿色供应链网络模糊优化
Fuzzy optimization of remanufacturing green supplychain network under incentive compatibility theory
摘要
Abstract
To investigate the role of government intervention in supply chain recovery networks,this paper proposed a multi-period and multi-objective optimization model based on incentive compatibility theory,aiming at the lowest total cost,minimal carbon emissions,and maximum big data investment returns.The method used multi-objective triangular fuzzy numbers and an improved hybrid algorithm to solve the model.The results show that the improved hybrid algorithm has strong solving capabili-ties for multi-period,multi-objective recovery networks,and government policies can compensate for the weak emission reduc-tion capabilities of the manufacturing industry.The conclusions are as follows:the use of artificial intelligence technology in recovery and remanufacturing enhances the competitiveness of manufacturing enterprises,government guidance helps enterpri-ses achieve industrial upgrading.关键词
不确定环境/激励相容理论/模糊机会约束规划/多目标多周期供应链/改进混合算法/政府干预Key words
uncertain environment/incentive-compatible theory/fuzzy chance-constrained programming/multi-objective multi-period supply chain/improved hybrid algorithm/government intervention分类
管理科学引用本文复制引用
王振,叶春明,郭健全..激励相容理论下再制造绿色供应链网络模糊优化[J].计算机应用研究,2025,42(1):242-249,8.基金项目
上海市哲学社会科学规划项目(2022BGL010) （2022BGL010）
国家自然科学基金资助项目 (71840003) （71840003）
