有限库存下的动态混合捆绑

Peng Liao, Li Jiang, H. Ye
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摘要

考虑一个收入最大化的供应商,它拥有多个组件的库存,并采用混合捆绑来销售由单个组件和包含这些组件的捆绑包组成的一系列产品。消费者在有限的时间范围内到达,直到消费时间,每个消费者都请求一个组件或一个包。我们首先研究了供应商持有两种组件的库存并采用基于数量的控制来管理销售的设置,即如果产品的价格高于相关的边际值,她接受消费者对产品的请求。我们的研究结果表明,一个组件的较低库存水平增加了包含该组件的产品的边际价值-稀缺性效应,而一个组件的较高库存水平增加了其他组件的边际价值-互补性效应。在影响最优政策方面,稀缺性效应一般大于互补性效应。虽然包装的价值随着时间的推移而减少,但由于库存不平衡,特定组件的价值不一定随着时间的推移而单调。在一般情况下,供应商拥有许多部件的库存,并采用基于价格的控制来管理销售。我们开发并应用了一种启发式方法来动态决定捆绑集、组件销售价格和捆绑折扣,发现混合捆绑在产生收入方面的价值关键取决于消费者对组件估值的相关性,以及初始组件库存的可用性和分散性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Mix-Bundling with Limited Inventories
Consider a revenue-maximizing provider who holds inventories for multiple components and adopts mix-bundling to sell a line of products made up of individual components and bundles that comprise these components. Consumers arrive over a finite time horizon up to the time of consumption and each of them requests a component or a bundle. We first study the setting in which the provider holds inventories for two components and adopts quantity-based control to manage selling, whereby she accepts a consumer request for a product if its price is above the associated marginal value. Our results show that a lower inventory level for a component increases the marginal value of a product that comprises this component – the scarcity effect, and a higher inventory level of a component increases the marginal value of the other component – the complementarity effect. The scarcity effect in general outweighs the complementarity effect in influencing optimal policies. While the value of package decreases as time elapses, that of a specific component is not necessarily monotone with time due to inventory imbalance. In the general setting, the provider has inventories for a number of components and adopts price-based control to manage selling. We develop and apply a heuristics to dynamically decide bundle set, component selling prices and bundle discount, to find that the value of mix-bundling in revenue generation depends crucially on the correlation of consumer valuations for components, as well as the availability and dispersion of initial component inventories.
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