Elasticity-integrated pricing and allocation heuristic for airline revenue management

IF 1.1 Q3 BUSINESS, FINANCE
Aparna Jayaram, R. K. Amit, Amit Agarwal, Xiaodong Luo
{"title":"Elasticity-integrated pricing and allocation heuristic for airline revenue management","authors":"Aparna Jayaram, R. K. Amit, Amit Agarwal, Xiaodong Luo","doi":"10.1057/s41272-023-00454-6","DOIUrl":null,"url":null,"abstract":"<p>Setting the right fares is a key lever for increasing operating profitability in the airline industry. It is crucial to design fares that are both appealing to passengers and contribute to an increase in airline revenue. Although airline revenue management techniques have evolved to capture customer-choice behavior, the pricing and allocation decisions continue to be taken independently. However, since they are linked, a single optimization model can address this shortcoming. This paper presents a joint optimization model (JOM) that considers product prices and their allocation quantities as decision variables. A sequential optimization technique that divides the model into two decision problems is adopted to cope with JOM’s complexity. The problem is divided into a master problem and a sub-problem, wherein product price changes are made in the master problem and, with these fixed prices, optimization is performed in the sub-problem. The sub-problem is solved by simplifying the non-linear JOM into a linear programming problem. The direction of product price changes in the master problem is identified using price elasticity of demand. A heuristic based on this concept is proposed and tested. The Elasticity-integrated Pricing and Allocation Heuristic (EPAH) is observed to produce a consistent increase in existing revenues.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Revenue and Pricing Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41272-023-00454-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

Setting the right fares is a key lever for increasing operating profitability in the airline industry. It is crucial to design fares that are both appealing to passengers and contribute to an increase in airline revenue. Although airline revenue management techniques have evolved to capture customer-choice behavior, the pricing and allocation decisions continue to be taken independently. However, since they are linked, a single optimization model can address this shortcoming. This paper presents a joint optimization model (JOM) that considers product prices and their allocation quantities as decision variables. A sequential optimization technique that divides the model into two decision problems is adopted to cope with JOM’s complexity. The problem is divided into a master problem and a sub-problem, wherein product price changes are made in the master problem and, with these fixed prices, optimization is performed in the sub-problem. The sub-problem is solved by simplifying the non-linear JOM into a linear programming problem. The direction of product price changes in the master problem is identified using price elasticity of demand. A heuristic based on this concept is proposed and tested. The Elasticity-integrated Pricing and Allocation Heuristic (EPAH) is observed to produce a consistent increase in existing revenues.

Abstract Image

航空公司收益管理的弹性集成定价与分配启发式方法
设定合适的票价是提高航空业运营盈利能力的关键杠杆。设计既能吸引乘客又能增加航空公司收入的票价至关重要。尽管航空公司的收益管理技术已经发展到能够捕捉客户的选择行为,但定价和分配决策仍然是独立进行的。然而,由于它们是相互关联的,因此单个优化模型可以解决这个缺点。提出了一个以产品价格及其分配数量为决策变量的联合优化模型(JOM)。为了应对JOM的复杂性,采用了一种将模型分为两个决策问题的顺序优化技术。该问题分为主问题和子问题,其中在主问题中对产品价格进行更改,并在这些固定价格的情况下对子问题进行优化。该子问题通过将非线性JOM简化为线性规划问题来求解。利用需求价格弹性确定了主问题中产品价格变化的方向。在此基础上提出了一种启发式算法并进行了测试。观察到弹性集成定价和分配启发式(EPAH)可以产生持续的现有收入增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.30
自引率
18.80%
发文量
26
期刊介绍: The?Journal of Revenue and Pricing Management?serves the community of researchers and practitioners dedicated to improving understanding through insight and real life situations. Each article emphasizes meaningful answers to problems whether cutting edge science or real solutions. The journal places an emphasis disseminating the best articles from the best minds and benchmarked businesses within the field of Revenue Management and Pricing.Revenue management (RM) also known as Yield Management (YM) is a management activity that marries the diverse disciplines of operations research/management science analytics economics human resource management software development marketing economics e-commerce consumer behaviour and consulting to manage demand for a firm's products or services with the goal of profit maximisation. From a practitioner standpoint RM encompasses a range of activities related to demand management including pricing segmentation capacity and inventory allocation demand modelling and business process management.Journal of Revenue and Pricing Management?aims to:formulate and disseminate a body of knowledge called 'RM and pricing' to practitioners educators researchers and students;provide an international forum for a wide range of practical theoretical and applied research in the fields of RM and pricing;represent a multi-disciplinary set of views on key and emerging issues in RM and pricing;include a cross-section of methodologies and viewpoints on research including quantitative and qualitative approaches case studies and empirical and theoretical studies;encourage greater understanding and linkage between the fields of study related to revenue management and pricing;to publish new and original ideas on research policy and managementencourage and engage with professional communities to adopt the Journal as the place of knowledge excellence i.e. INFORMS Revenue Management & Pricing section AGIFORS and Revenue Management Society and Revenue Management and Pricing International Ltd.Published six times a year?Journal of Revenue and Pricing Management?publishes a wide range of peer-reviewed practice papers research articles and professional briefings written by industry experts - including:Practice papers - addressing the issues facing practitioners in industry and consultancyApplied research papers - from leading institutions on all areas of research of interest to practitioners and the implications for practiceCase studies - focusing on the real-life challenges and problems faced by major corporations how they were approached and what was learnedModels and theories - practical models and theories which are being used in revenue managementThoughts - assessment of the key issues new trends and future ideas by leading experts and practitionersApprentice - the publication of tomorrows ideas by students of todayBook/conference reviews - reviewing leading conferences and major new books on RM and pricingThe Journal is essential reading for senior professionals in private and public sector organisations and academic observers in universities and business schools - including:Pricing AnalystsRevenue ManagersHeads of Revenue ManagementHeads of Yield ManagementDirectors of PricingHeads of MarketingChief Operating OfficersCommercial DirectorsDirectors of SalesDirectors of OperationsHeads of ResearchPricing ConsultantsProfessorsLecturers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信