A description of relationships among the measurable attributes of one or more processes or work products that is developed from historical process performance data and is used to predict future performance. (See also “measure.”)
One or more of the measureable attributes represent controllable inputs tied to a subprocess to enable performance of “what-if” analyses for planning, dynamic re-planning, and problem resolution. Process performance models include statistical, probabilistic and simulation based models that predict interim or final results by connecting past performance with future outcomes. They model the variation of the factors, and provide insight into the expected range and variation of predicted results. A process performance model can be a collection of models that (when combined) meet the criteria of a process performance model.