具有模糊—随机性的易腐货品最优补货策略

Research on Fuzzy-random Inventory Model of Optimal Inventory Replenishing Policy for Items

结合易腐物品的变质特点,考虑不确定环境下配送中心以固定周期为连锁门店送货、连锁商单位时间需求为模糊变量的分销系统,通过利用三参数Weibull函数来描述易腐货品的变质特性,运用可信性理论的逆模糊化和随机理论,建立了模糊-随机下的每周期易腐货品的最优补货策略模型。借助MATLAB得到了求解最优补货策略的方法,并通过仿真模拟验证了方法的合理性。

Based on deterioration character of items,the paper uses the credibility theory,stochastic theory to establish the optimal inventory replenishing policy for items with Weibull distribution in fuzzy demand under conditions that the distributor delivers goods to retailers at fixed intervals and the demand of retailers within unit time presents uniform distribution.The optimal inventory replenishing model is developed for perishable items at fuzzy-random and every fixed interval.Then,the model is solved to form the optimal inventory replenishing policy via preferred selection and by virtue of MATLAB.Numerical simulations are given as examples and validated the legitimacy of the method.