Multiproduct Pricing with Discrete Price Sets

Oper. Res. Pub Date : 2022-01-27 DOI:10.1287/opre.2021.2222
Chandrasekhar Manchiraju, Milind Dawande, G. Janakiraman
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引用次数: 1

Abstract

Dynamic pricing is a well-known revenue management technique used by firms to maximize their revenues. In industries such as fashion retail and airlines, it is observed in practice that firms vary the prices of their products, through time, only among certain pre-fixed discrete price points; for example, in fashion retail, products are first sold at a base price and then later at, say, 10%, 20%, 30% discounted prices. In such discrete-price practices, when the number of products offered by a firm is large, it is mathematically challenging to determine the optimal pricing decisions. In “Multiproduct Pricing with Discrete Price Sets,” Manchiraju, Dawande, and Janakiraman design pricing algorithms that are fast and result in near-optimal revenues.
离散价格集的多产品定价
动态定价是一种众所周知的收益管理技术,被公司用来最大化他们的收益。在时尚零售和航空公司等行业,实践中可以观察到,随着时间的推移,公司只会在某些预先固定的离散价格点上改变产品的价格;例如,在时尚零售中,产品首先以底价出售,然后再以10%、20%、30%的折扣出售。在这种离散价格实践中,当一家公司提供的产品数量很大时,确定最优定价决策在数学上是具有挑战性的。在《离散价格集的多产品定价》一书中,Manchiraju、Dawande和Janakiraman设计了一种快速的定价算法,可以产生接近最优的收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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