A mixed-integer optimization formulation for buyer formation

IF 4.1 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Sebastián Dála-Gálvez , Martine Labbé , Vladimir Marianov , Fernando Ordónẽz , Frédéric Semet
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引用次数: 0

Abstract

Companies frequently offer wholesale prices for their products that decrease with the number of items purchased. However, individual buyers may not be willing or able to purchase large quantities of a single item. To address this consumers can form groups to purchase at wholesale prices and gain bargaining power. This practice can be extended from single products to product bundles. This paper proposes a combinatorial coalition formation problem to create groups of buyers who wish to optimally purchase product bundles. We propose a generic mathematical model and present mixed-integer programming formulations for nonincreasing price and step price functions. To handle large instances, a Benders decomposition method is proposed for step price functions. Computational experiments conducted on a large set of synthetic instances illustrate the performance of the method.
买家形成的混合整数优化公式
公司经常为他们的产品提供批发价格,随着购买的物品数量减少。然而,个别买家可能不愿意或不能购买大量的单一项目。为了解决这个问题,消费者可以组成团体以批发价购买,从而获得议价能力。这种做法可以从单个产品扩展到产品包。本文提出了一个组合联盟形成问题,以产生希望最优购买产品束的购买者群体。我们提出了一个通用的数学模型,并给出了非递增价格函数和阶跃价格函数的混合整数规划公式。为了处理大型实例,提出了阶跃价格函数的Benders分解方法。在大量合成实例上进行的计算实验验证了该方法的有效性。
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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来源期刊
Computers & Operations Research
Computers & Operations Research 工程技术-工程:工业
CiteScore
8.60
自引率
8.70%
发文量
292
审稿时长
8.5 months
期刊介绍: Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.
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