基于贝叶斯更新的双渠道联合库存与定价策略研究  

Joint Inventory and Pricing Strategy with Dual Channel Based on Bayesian Updating

作　　者：赵禹[1] 周长银[1] 王吉豪 

机构地区：[1]山东科技大学数学与系统科学学院,山东青岛266590

出　　处：《山东科技大学学报（自然科学版）》2016年第3期106-111,共6页Journal of Shandong University of Science and Technology(Natural Science)

摘　　要：本论文基于对网络市场需求的贝叶斯更新,分别讨论了双渠道库存共享和分开两种情况下最优联合库存与定价策略,并就总库存相同的情况下双渠道库存是否共享给出了决策方法。通过数值试验对两种模型做了比较,结果表明双渠道销售模式下库存共享策略优于库存分开策略。This paper researched on the issue of whether the retailer＇s inventory of the same product should be shared in the dual channel sales model.Based on the bayesian updating of a network market demand,the optimal joint inventory and pricing strategies in both the dual channel inventory sharing and the dual channel inventory separation were discussed and a decision making method was proposed on whether the dual channel inventory should be shared when the total inventory was the same.A comparison was made between the two models by numerical experiments and the results show that the dual channel sales mode inventory sharing strategy is superior to the inventory separation strategy.

关 键 词：动态定价 库存管理 贝叶斯更新 库存共享 双渠道 

分 类 号：F272[经济管理—企业管理]