Statistical PERT: Improvements in the Determination of the Project Completion Time Distribution.

摘要

The report develops improvements to a new project scheduling procedure, Statistical PERT, being developed at the Institute of Statistics, Texas A and M University. The project scheduling algorithm is a five step iterative procedure capable of determining a minimum cost project schedule when the activities making up the project have durations which are random variables. The cost of an activity is assumed to be a convex piecewise linear function of the activity's mean duration. The problem is to determine the activity mean durations which both minimize the total project cost and insure that the mean (or some specified percentile) of the corresponding project completion time distribution is less than or equal to a specified project deadline. The entire distribution of the project's completion time under the minimum cost schedule is a valuable by-product.