基于灰色系统理论GM(1,1)预测的易变质商品最优补货模型  

Optimal replenishment policies for deteriorating items based on the forecasting method of grey model

作　　者：戢守峰[1] 周宁[1] 任勇强[1] 黄小原[1] 

机构地区：[1]东北大学工商管理学院,沈阳110004

出　　处：《系统工程理论与实践》2008年第7期93-99,共7页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(70572088)

摘　　要：针对仓库容量有一定限制的补货间隔期不受零售商控制情况下的多周期补货问题,在是否租借仓库未知的情况下和一定服务水平约束的条件下给出一种可选则的预期利润模型,从而确定最优补货量及最优方案,并用Matlab仿真方法分析租借仓库率和随机补货间隔期的分布函数对预期利润的影响,验证模型的有效性.The collected and forecasting profit model was briefly introduced focus on a series of conditions such as limited inventory, stochastic replenishment periods, uncertain of whether lending stock and service level constraint. then determinate the optimal replenishment quantity and optimal policy and utilize MATLB real-time simulation to analyze how lending stock rate and stochastic replenishment periods effluence the profit, finally it is proved that model is validated to the policy.

关 键 词：仓容有限 随机补货间隔期 易变质品 服务水平约束 仿真分析 

分 类 号：C931[经济管理—管理学]