基于认知需求的ISC库存优化研究  

Inventory Optimization of Integrated Supply Chain Based on Perceived Demands

作　　者：姜继娇[1] 杨乃定[1] 

机构地区：[1]西北工业大学管理学院,陕西西安710072

出　　处：《工业工程》2006年第4期97-100,117,共5页Industrial Engineering Journal

基　　金：国家自然科学基金资助项目(70571064);西北工业大学博士论文创新基金资助项目(CX200425)

摘　　要：从决策者的有限理性角度,研究了模糊随机需求环境下的集成供应链(ISC)库存优化问题。利用BSV(Barberis-Shleifer-Vishny)模型描述库存决策者的情绪转移过程,提出了具有行为金融属性的认知需求度量方法;将其纳入ISC库存优化决策之中,建立了一种模糊机会约束规划模型;运用模糊与随机模拟相结合的技术给出了该模型的求解算法,并以具体释例说明了其适用性。From the viewpoint of decision-makers＇ bounded rational, this paper discusses inventory optimization of integrated supply chain （ISC） with fuzzy and stochastic demands. Barberis-Shleifer-Vishny（BSV） model is employed to describe the transform process of inventory decision-makers＇ sentiment. The paper proposes a perceived demand mezsurement method with behavioral finance attributes. The method is included into the decision-making of ISC inventory optimization, and a fuzzy chance constrained pmgramming model is set up. Fuzzy and stochastic techniques are used for the model, which is demonstrated by an example.

关 键 词：集成供应链 库存优化 认知需求 有限理性 

分 类 号：F208[经济管理—国民经济]