SBIR Phase II: Revenue Management in a Dynamic and Stochastic Network Environment

SBIR 第二阶段：动态随机网络环境中的收入管理

• 批准号: 0109985
• 负责人: Georgia Mourtzinou
• 金额: $ 49.99万
• 依托单位: DYNAMIC IDEAS, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0109985&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Revenue; Management

This Small Business Innovation Research (SBIR) Phase II project will develop a state-of-the-art Revenue Management (RM) application suite that addresses inventory allocation and supply-chain management issues. RM, a new way of approaching the supply/demand concept, is best understood as the set of actions leading to revenue maximization by efficiently utilizing the available perishable resources. In Phase I a software prototype was developed based on highly optimized inventory allocation algorithms that produced 2-5% revenue improvements over algorithms used in practice. Phase II has a two-fold objective: to advance the software and produce a state-of-the-art RM application suite to be used in the airlines, hospitality and equipment rental industries; and, to add new components that address supply management decisions interconnected with the inventory allocation decisions addressed in Phase I.RM is currently applied primarily to the airlines and (to different degrees) to cruise lines, hotels, car rental companies, energy, entertainment industry and telecommunications. It is widely acknowledged that companies that neglect to implement RM techniques to maximize their revenue will risk becoming uncompetitive. Therefore, there is a large potential market for a flexible state-of-the-art RM suite built on highly sophisticated algorithms.

这个小企业创新研究（SBIR）第二阶段项目将开发一个最先进的收入管理（RM）应用程序套件，解决库存分配和供应链管理问题。 RM是一种新的方式接近供应/需求的概念，是最好的理解为一套行动，导致收益最大化，有效地利用现有的易腐资源。 在第一阶段，基于高度优化的库存分配算法开发了一个软件原型，该算法比实际使用的算法提高了2-5%的收入。 第二阶段有两个目标： 改进软件，并制作一套最先进的记录管理应用程序套件，供航空、酒店和设备租赁业使用;增加新的组成部分，解决与第一阶段中解决的库存分配决策相关的供应管理决策。（在不同程度上）对游轮公司、酒店、汽车租赁公司、能源、娱乐业和电信业的影响。人们普遍认为，忽视实施RM技术以最大限度地提高收入的公司将面临失去竞争力的风险。 因此，有一个巨大的潜在市场，一个灵活的国家的最先进的RM套件建立在高度复杂的算法。