发明名称 METHOD AND SYSTEM FOR ESTIMATING THE PROGRESS AND COMPLETION OF A PROJECT BASED ON A BAYESIAN NETWORK
摘要 A method for projecting the progress of a project, the project including work items, the method including: obtaining starting state transition probabilities for the work items in a first time interval; obtaining starting populations of the work items, wherein the starting populations of the work items include states of the work items at the beginning of the first time interval; determining expected distributions for the work item states at the end of the first time interval by using the starting state transition probabilities and the starting populations; identifying actual states for the work items at the end of the first time interval; determining actual state transition rates of the work items for the first time interval by using the starting populations and the actual states; and determining expected future state transition probabilities for the work items by using the starting state transition probabilities and the actual state transition rates.
申请公布号 US2016004982(A1) 申请公布日期 2016.01.07
申请号 US201414323317 申请日期 2014.07.03
申请人 INTERNATIONAL BUSINESS MACHINES CORPORATION 发明人 Cantor Murray R.;Duesterwald Evelyn;Klinger Tamir;Sutton, JR. Stanley M.;Tarr Peri L.
分类号 G06Q10/06;G06N7/00 主分类号 G06Q10/06
代理机构 代理人
主权项 1. A method for projecting the progress of a project, over one or more time intervals, the project including a plurality of work items, the method comprising: obtaining starting state transition probabilities for the work items in a first time interval; obtaining starting populations of the work items, wherein the starting populations of the work items include states of the work items at the beginning of the first time interval; determining expected distributions for the work item states at the end of the first time interval by using the starting state transition probabilities and the starting populations; identifying actual states for the work items at the end of the first time interval; determining actual state transition rates of the work items for the first time interval by using the starting populations and the actual states; and determining expected future state transition probabilities for the work items by using the starting state transition probabilities and the actual state transition rates.
地址 ARMONK NY US