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基于时间可控和随机损失的生鲜农产品供应链协调
引用本文:苏菊宁,刘晨光,殷勇,张娜.基于时间可控和随机损失的生鲜农产品供应链协调[J].运筹与管理,2015,24(5):34-43.
作者姓名:苏菊宁  刘晨光  殷勇  张娜
作者单位:1.西安理工大学经济与管理学院,陕西西安710054;2.西北工业大学管理学院,陕西西安710072;3.日本同志社大学研究生院商业研究科,日本京都602-8680
基金项目:国家自然科学基金资助项目(71171161,71371153);教育部人文社科基金(13YJA630077);陕西省自然科学基金资助项目(2011JM9004);陕西省重点学科建设专项资金项目(00X901)
摘    要:生鲜农产品不仅是易腐的,其寿命还具有随机性,在订货和由产地运往远方销地的过程中,面临随机供给与需求的匹配、变质损失与物流成本的平衡这两重难题。基于现代物流条件下物流时间的可控性,分别建立了分散控制和集中控制供应链的决策模型,分析得到了它们的最优订货量和最优物流时间。在此基础上,设计了一组联合契约,推导出了实现生鲜农产品供应链协调时契约参数取值范围的计算公式。研究结果表明:通过选择合理的契约参数φ,联合契约能够完美协调生鲜农产品供应链、实现供需双方帕累托最优。进一步,对变质率参数和需求价格弹性系数进行了敏感性分析,为生鲜农产品供应链实践提供了一些管理启示。

关 键 词:供应链管理  联合契约  最优化  生鲜农产品  变质损失  
收稿时间:2014-02-11

Supply Chain Coordination for Fresh Produce under Controllable LogisticsTime and Random Deterioration Loss
SU Ju-ning,LIU Chen-guang,YIN Yong,ZHANG Na.Supply Chain Coordination for Fresh Produce under Controllable LogisticsTime and Random Deterioration Loss[J].Operations Research and Management Science,2015,24(5):34-43.
Authors:SU Ju-ning  LIU Chen-guang  YIN Yong  ZHANG Na
Institution:1.School of Economics and Management, Xi’an University of Technology, Xi’an710054, China;2.School of Management, Northwestern Polytechnical University, Xi’an710072, China;3. Business School, Doshisha University, Kyoto602-8680, Japan
Abstract:The fresh produce is not only perishable, but its lifetime is random also. So there are two challenges for the supply chain of fresh produce in the process of the fresh produce ordering and shipping from origin to remote market: matching stochastic supply with stochastic demand, balancing deterioration loss and logistics cost. Based on the controllable logistics time under the condition of modern logistics, the decision models of the decentralized system and the centralized system are established respectively. And the optimal ordering quantity and the optimal logistics time in two systems are obtained. On this basis, the combined contracts are proposed. The value range of contract parameter that can realize the coordination of supply chain is derived. The results show that the combined contracts can perfectly coordinate the supply chain, and can achieve the Pareto optimal of supplier and retailer through choosing reasonable contract parameter. Furthermore, the sensitivity analysis of the deterioration rate factor and demand price elasticity coefficient are performed. Several managerial insights are also deduced from the analytical results.
Keywords:supply chain management  combined contract  optimization  fresh produce  deterioration loss  
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