模糊需求环境下的连续盘点(Q,r)库存模型  

Continuous Review(Q,r)Inventory Models with Fuzzy Demand

作　　者：代颖[1] 马祖军[2] 武振业[1] 

机构地区：[1]西南交通大学经济管理学院,四川成都610031 [2]西南交通大学交通运输学院,四川成都610031

出　　处：《预测》2005年第6期71-73,共3页Forecasting

基　　金：国家自然科学基金资助项目(70272022;70502025);中国博士后科学基金资助项目(2003033527);西南交通大学基础科学研究基金资助项目(2005B01)

摘　　要：传统库存模型中大多采用随机理论处理不确定性,然而当决策者不清楚资料数据服从何种概率分布时,适合采用模糊理论处理不确定性。本文用模糊数表示需求的不确定性,提出了一种采用连续盘点(Q,r)库存控制策略的模糊库存模型,并利用模拟退火算法求解最佳订货点和最优订货批量。Conventional inventory models that include uncertainty are based on the concept of randomness and on probability theory. However, if it is unclear to the decision-maker which kind of probability distribution the data followed, a promising additional instrument to treat uncertainty is fuzzy set theory. In this paper, uncertain demand is represented by fuzzy numbers and a continuous review （ Q, r） inventory model is developed. The simulated annealing algorithm is used to .solve the optimal reorder level and order quantity of the models.

关 键 词：库存 模糊需求 模拟退火算法 (Q r)策略 

分 类 号：F253.4[经济管理—国民经济]