动态随机供应链中的合作广告与定价:反馈Stackelberg策略

Xiuli He, A. Prasad, Suresh Sethi
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引用次数: 230

摘要

合作广告是供应链中协调制造商和零售商决策的重要工具。在这种情况下,制造商宣布了一项合作广告政策,即一个参与率,该参与率指定了零售商将提供的合作广告支出的百分比。此外,它还公布批发价格。作为回应,零售商选择最优的广告和定价策略。我们将该供应链问题建模为随机Stackelberg微分对策,其动力学遵循Sethipsilas随机销售-广告模型。得到了制造商提供合作广告的最优条件。我们以反馈的形式为制造商和零售商提供最佳的广告和定价政策。我们将结果与垂直整合渠道的广告和价格决策进行了对比,并提出了一种协调渠道的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative advertising and pricing in a dynamic stochastic supply chain: Feedback Stackelberg strategies
Cooperative (co-op) advertising is an important instrument for aligning manufacturer and retailer decisions in supply chains. In this, the manufacturer announces a co-op advertising policy, i.e., a participation rate that specifies the percentage of the retailerpsilas advertising expenditure that it will provide. In addition, it also announces the wholesale price. In response, the retailer chooses its optimal advertising and pricing policies. We model this supply chain problem as a stochastic Stackelberg differential game whose dynamics follows Sethipsilas stochastic sales-advertising model. We obtain the condition when offering co-op advertising is optimal for the manufacturer. We provide in feedback form the optimal advertising and pricing policies for the manufacturer and the retailer. We contrast the results with the advertising and price decisions of the vertically integrated channel, and suggest a method for coordinating the channel.
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