摘要
(Q,R)模型是库存管理中的重要控制模型,但它缺乏利用供应链中丰富的商品流通信息,所以该模型不能动态地及时调整订购策略。为此,我们在该模型的基础上利用RFID信息采集的优势构建了复合的管理控制模型,研究在对商业零售库存数据及时采集情况下的库存管理问题,并应用在红河(软甲)香烟库存管理分析中,采用遗传算法进行仿真优化求解。结论表明:与传统的库存控制模型相比能够降低库存水平、更好地节约库存成本和满足顾客需求,库存管理控制效果更优。
In the inventory management,（Q,R） Model is an important control model,but it is bad at utilizing the abundant information of commodity circulation from supply chain,so it can＇t adjust the ordering policy dynamically and timely.Therefore,we constructs a Compound Model which takes advantages of RFID＇s information collection based on（Q,R） model and researches the inventory management under the circumstance of timely collection the retail inventory data,and then we takes the Cigarette＇s inventory management as an example using genetic algorithms to solve simulation optimization problems.The results show that the compound model can reduce inventory level,save more inventory cost and satisfy customers＇ needs better comparing with traditional inventory model.
出处
《贵州师范大学学报（自然科学版）》
CAS
2012年第1期90-93,110,共5页
Journal of Guizhou Normal University：Natural Sciences
基金
国家自然科学基金项目(NO.60971078)
