Dynamic Pricing and Allocation Models for Revenue Management in the Airline and Retail Industries

航空和零售行业收入管理的动态定价和分配模型

• 批准号: 9309394
• 负责人: Guillermo Gallego
• 金额: $ 8.94万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-08-01 至 1995-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9309394&HistoricalAwards=false
• 关键词: Dynamic; Pricing; Allocation; Models; Revenue

9309394 Gallego Many important U.S. industries incur high fixed costs to provide goods or services. These include the transportation (airlines, cruise ships), lodging (hotels, resorts), fashion, and seasonal manufacturing and retailing industries. Because of long lead times capacity can be considered fixed, at least in the short run, and its cost sunk. The relatively low marginal costs of providing goods or services within capacity makes revenue maximization a main concern for these industries. Effective temporal pricing and allocation decisions can significantly increase revenues in these industries and hence strengthen their competitive positions. At present there is a wealth of reservation and point-of-sale data which can be used to make temporal pricing and allocation decisions. The goal of this research is to develop theoretical and practical temporal pricing and allocation methods that take full advantage of these data. This research develops modeling techniques and algorithms that capture realistic and complex multiple product problems. The framework will ultimately be capable of handling extremely complicated problems such as pricing and allocating the capacity of an entire airline carrier network over multiple markets. Also planned is a study of joint pricing, allocation, and demand estimation, an essential building block for the future implementation of the research. Toward this end, an initial program of empirical studies in conjunction with a major fashion retailer is also proposed to secure financial and in-kind support from both the retail and airline industry for continued funding of the research. ***

9309394 Gallego许多重要的美国行业都承担着很高的固定成本来提供商品或服务。这些包括运输（航空公司，游轮），住宿（酒店，度假村），时装和季节性制造业和零售业。由于较长的交货期，至少在短期内，产能可以被认为是固定的，其成本也是固定的。在能力范围内提供货物或服务的边际成本相对较低，这使得收入最大化成为这些行业的主要关切。有效的时间定价和分配决策可以显着增加这些行业的收入，从而加强其竞争地位。目前，有大量的预订和销售点数据，可用于制定临时定价和分配决策。本研究的目标是开发理论和实践的时间定价和分配方法，充分利用这些数据。 本研究开发了捕捉现实和复杂的多产品问题的建模技术和算法。 该框架最终将能够处理极其复杂的问题，例如定价和在多个市场上分配整个航空公司网络的容量。 还计划研究联合定价、分配和需求估计，这是未来实施研究的一个重要组成部分。为此，还建议与一家大型时装零售商一起进行实证研究的初步方案，以确保零售业和航空业的财政和实物支持，以继续资助研究。 ***