发明名称 Prioritizing Proposal Development Under Resource Constraints
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.
申请公布号 US2016004985(A1) 申请公布日期 2016.01.07
申请号 US201414322199 申请日期 2014.07.02
申请人 International Business Machines Corporation 发明人 Blomberg Jeanette L.;Boyette Neil;Chandra Anca A.;Oh Sechan;Strong, JR. Hovey Raymond
分类号 G06Q10/06 主分类号 G06Q10/06
代理机构 代理人
主权项 1. A method comprising: clustering multiple items of historical proposal development data into one or more clusters based on one or more parameters, wherein said historical proposal development data comprise multiple prior proposal requests; generating a logistic regression model for time sensitivity associated with each of the prior proposal requests within each of the one or more clusters; 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 proposal 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 proposal request in the given set; wherein at least one of said clustering, said generating, said simulating, said selecting, and said computing is carried out by a computing device.
地址 Armonk NY US