Sensitivity analysis for project planning and scheduling under uncertain completions
Development of a sensitivity analysis (SA) procedure is a significant part of constructing robust solutions for a class of resource constrained planning and scheduling problems. The key uncertain parameters, the probabilities that projects will be terminated, occur in both the objective function and the left-hand side of the constraints. Estimates of the mean probability of failure for a task can be extracted from historical data; however, it is important to take into account the sensitivity of the proposed solution to variations in these estimates. Parameter studies show complex interactions between the objective function and the resource constraints. A method to study the behavior of the solution using branch and bound algorithms enhanced with logical programming is introduced. (C) 1998 Elsevier Science Ltd. All rights reserved.
sensitivity analysis project planning mixed integer linear programming resource over-booking