模糊随机环境下考虑碳限额和碳交易机制的库存配送问题研究

发布时间：2018-03-01 23:13

本文关键词： 碳交易机制碳限额库存配送管理残次品处理模糊随机粒子群算法双层规划　出处：《工业技术经济》2017年09期 　论文类型：期刊论文

【摘要】：本文以高端物流服务集成商与库存配送服务商为研究对象,以集成商的供应链网络成本最小、服务商的运营成本最小且准时制供应为目标,深入研究考虑碳限额、碳交易机制以及残次品处理的多供应商选择多产品多阶段库存配送问题,构建了基于动态规划的双层库存配送模型。利用双层全局——局部——邻域粒子群算法(Bi-GLNPSO)设计了模型求解方案,并通过算例验证了模型和算法的有效性和合理性。探讨了碳限额和碳交易机制对总成本和库存配送决策的影响。
[Abstract]:This paper takes the high-end logistics service integrator and inventory distribution service provider as the research object, takes the supply chain network cost of the integrator as the minimum, the service provider's operation cost minimum and the punctual supply as the goal, deeply studies and considers the carbon quota. Carbon trading mechanism and the problem of multi-supplier selection and multi-stage inventory distribution of residual and defective products, A two-layer inventory distribution model based on dynamic programming is constructed, and a solution scheme is designed by using two-level global local-neighborhood particle swarm optimization algorithm (Bi-GLNPSO). The validity and rationality of the model and algorithm are verified by an example, and the influence of carbon quota and carbon trading mechanism on total cost and inventory distribution decision is discussed.
【作者单位】：河北工业大学经济管理学院;
【基金】：国家自然科学基金(项目编号:71640013) 天津市哲学社会科学基金项目“绿色经济视角下我国钢铁产业服务转型战略与路径研究”(项目编号:TJGL15-007) 河北省软科学计划项目“新常态下河北省钢铁产业服务转型升级的路径及对策研究”(项目编号:16457643D)
【分类号】：F274;X196

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