基于系统动力学的连锁零售多级库存优化与仿真

发布时间：2018-06-20 22:15

本文选题：系统动力学 + 连锁零售　；参考：《中国流通经济》2017年10期

【摘要】：连锁零售企业多级库存系统中各节点存在着由于需求预测不准确、订货时间随意、订货量缺乏动态时变性等因素而导致的总体库存量高于理想水平、库存周转率低下、库存成本过高等问题。为解决此类问题,可从动态系统的角度构建由供应商、配送中心和门店组成的多级库存协同管理系统动力学模型,以超市发连锁零售门店的进销存数据为实证数据,应用Vensim平台对模型进行仿真研究。通过敏感性分析对库存调节周期、配送时间、需求预测权重、安全库存天数等参数进行改进,最终得到一个优化的连锁零售多级库存系统动力学模型。实验结果表明,该模型能够有效降低企业库存量,提高库存周转效率,降低库存成本。
[Abstract]:In the multistage inventory system of chain retail enterprises, the total inventory stock is higher than the ideal level and the inventory turnover is low because of inaccurate demand prediction, random ordering time, lack of dynamic variability of order quantity and so on. Excessive inventory costs and other problems. In order to solve this problem, the dynamic model of multi-level inventory collaborative management system, which is composed of supplier, distribution center and store, can be constructed from the point of view of dynamic system. The Vensim platform is used to simulate the model. Through sensitivity analysis, the parameters such as inventory adjusting period, distribution time, demand forecasting weight and safety inventory days are improved, and a dynamic model of chain retail multi-level inventory system is obtained. The experimental results show that the model can effectively reduce the inventory of enterprises, improve the efficiency of inventory turnover, and reduce the cost of inventory.
【作者单位】：北京工商大学商学院;
【基金】：国家社会科学基金项目“我国生鲜农产品电子商务与传统流通体系的融合发展研究”(15BGL202) 北京市自然科学基金项目“深度不确定与大数据环境下连锁零售企业物流供应链预警决策研究”(9162002) 国家科技课题“农资物流安全配送关键技术与装备研究示范”(2015BAD18B01)
【分类号】：F274;F721.7

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