收稿日期: 2019-09-11
网络出版日期: 2019-12-31
基金资助
国家自然科学基金资助项目(71302053)
Dynamic inventory and pricing joint decision model for substitutable apparel products with demand learning
Received date: 2019-09-11
Online published: 2019-12-31
以当前中国服装业的供应链管理实践为背景, 针对由服装零售商和服装制造商组成的服装供应链, 研究了短生命周期产品供应链中需求学习与需求替代性对动态库存管理与动态定价的影响. 假定服装产品分两批上市, 两批次产品为同一大类下具有替代性的产品, 按照产品分批上市的时间节点, 将销售季节划分为两个阶段, 在考虑产品间缺货替代率的基础上构建需求学习模型, 即零售商在销售季节初发出初始订单, 在销售季节第一阶段结束时对订单按照实现需求进行更新. 然后以需求学习模型为输入, 建立基于需求学习的流行服装供应链的动态库存与定价联合决策模型, 零售商通过该模型找到各个时间段针对不同产品的最佳订货量和库存控制策略, 制造商通过该模型确定各个产品在各个时间段的最佳批发价格. 最后, 给出算例的计算结果和仿真分析结果以说明模型的有效性和应用效果.
高峻峻, 袁君霞 . 基于需求学习的可替代服装产品动态库存与定价联合决策模型[J]. 上海大学学报(自然科学版), 2019 , 25(6) : 1023 -1033 . DOI: 10.12066/j.issn.1007-2861.1958
This study is based on the current management practice in the supply chain of Chinese apparel companies. The impact of demand learning and demand substitution on the inventory management and pricing is examined. Apparel products with short selling seasons in an apparel supply chain comprised of a retailer and a manufacturer are considered. Assume that the products are supplied in two batches that are mutually substitutable in the same category. The selling season is divided into two periods: The initial order is placed at pre-season and delivered at the start of the selling season, and the final order is updated after learning the actual demand in the first period of selling season. In this framework, a joint decision model of dynamic inventory and pricing is established to help retailers and manufacturers determine the optimal quantity of orders and the wholesale price. Numerical experiments show effectiveness of the model and the application results.
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