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Prioritizing Proposal Development Under Resource Constraints

机译:在资源约束下优先考虑提案开发

摘要

Methods, systems, and articles of manufacture for prioritizing proposal development under resource constraints are provided herein. A method includes clustering multiple items of historical proposal development data into clusters based on one or more parameters, wherein said historical data comprise multiple prior proposal requests; generating a logistic regression model for time sensitivity associated with each of the prior proposal requests within each cluster; simulating each of the prior proposal requests (i) based on the corresponding logistic regression model and (ii) under each of multiple prioritization policies to determine an expected revenue measure for each of the prior requests under each of the prioritization policies; selecting a prioritization policy from the multiple prioritization policies based on said expected revenue measures; and computing a priority score for each proposal request in a given set of proposal requests based on application of the selected prioritization policy to each request in the given set.
机译:本文提供了用于在资源限制下优先考虑提议开发的方法,系统和制造品。一种方法,包括基于一个或多个参数将多个历史提议开发数据项聚类为聚类,其中所述历史数据包括多个先前提议请求;为与每个集群中的每个先前提议请求相关的时间敏感性生成逻辑回归模型; (i)基于相应的逻辑回归模型,以及(ii)在多个优先级排序策略中的每个优先级策略下,模拟每个优先级提议请求,以确定每个优先级策略下每个优先级请求的预期收益度量;基于所述预期收益度量,从多个优先级策略中选择优先级策略;根据所选优先级策略对给定集合中每个请求的应用,为给定提议请求中的每个提议请求计算优先级分数。

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