基于不对称需求信息的供应链最小订购量决策

发布时间：2019-06-20 19:14

【摘要】：在由一个供应商和一个零售商组成的两级分散供应链中,供应商通过制定最小订购量取得规模效应,保障自身利益。当零售商和供应商之间存在需求信息不对称时,即零售商掌握需求信息而供应商仅知道需求信息中价格敏感因子的分布,如何进行最小订购量决策成为供应商面临的一个重要问题。针对这一问题,从营销视角构建了基于Stackelberg博弈的利润最大化模型。假设供应商知道需求的价格敏感因子服从正态分布,通过严密的数学推导确定了模型中的最优最小订购量。将提出的最优最小订购量决策方法应用于云存储的销售供应链中,确定了云存储供应商销售的最优最小存储容量,阐释了方法的合理性与有效性。通过实验研究发现,最小订购量的设置提升了供应商的利润。所提方法对于考虑最小订购量的供应链协调研究具有积极的推动作用。
[Abstract]:In a two-level decentralized supply chain composed of one supplier and one retailer, suppliers achieve economies of scale by setting the minimum order quantity to protect their own interests. When there is asymmetry of demand information between retailers and suppliers, that is, retailers master demand information and suppliers only know the distribution of price sensitive factors in demand information, how to make the decision of minimum order quantity has become an important problem for suppliers. In order to solve this problem, a profit maximization model based on Stackelberg game is constructed from the perspective of marketing. Assuming that the supplier knows that the price sensitivity factor of demand obeys the normal distribution, the optimal minimum order quantity in the model is determined by strict mathematical derivation. The proposed optimal minimum order quantity decision method is applied to the sales supply chain of cloud storage, the optimal minimum storage capacity of cloud storage supplier is determined, and the rationality and effectiveness of the method are explained. Through the experimental study, it is found that the setting of the minimum order quantity improves the profit of the supplier. The proposed method plays a positive role in promoting the research of supply chain coordination considering the minimum order quantity.
【作者单位】：合肥工业大学管理学院;过程优化与智能决策教育部重点实验室;
【基金】：国家自然科学基金资助项目(71201043) 教育部人文社科基金资助项目(12YJC630046) 安徽省自然科学基金资助项目(1208085QG130)
【分类号】：F274;F724.2

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