基于认知需求的ISC库存优化研究

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.

Inventory Optimization of Integrated Supply Chain Based on Perceived Demands

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 measurement method with behavioral finance attributes.The method is included into the decision-making of ISC inventory optimization,and a fuzzy chance constrained programming model is set up.Fuzzy and stochastic techniques are used for the model,which is demonstrated by an example.