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

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是一种接近供需概念的新方法，最好理解为通过有效利用可用的易腐资源而导致收益最大化的一系列行动。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产生了2-5%的收益提高。第二阶段有两个目标：改进软件并生产最先进的RM应用套件，用于航空、酒店和设备租赁行业；并且，增加新的组件，解决与第一阶段解决的库存分配决策相关联的供应管理决策。rm目前主要应用于航空公司，（在不同程度上）游轮公司，酒店，汽车租赁公司，能源，娱乐行业和电信。人们普遍认为，忽视实施RM技术以最大化其收入的公司将面临失去竞争力的风险。因此，基于高度复杂算法的灵活的、最先进的RM套件具有巨大的潜在市场。

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.