Uncertain resource-constrained project robust scheduling algorithm

In cross-enterprise project,uncertainty available times of resources lead to variability of project schedule.In order to solve the problem,represented the imprecise temporal parameters and the uncertainty of the resources involved in project by fuzzy sets,also defined the robustness measure by consideration of quality robustness and solution robustness.Based on these,developed a genetic algorithm for solving the project robust scheduling problem.Finally,presented an example,and illustrated the validity of the algorithm through simulation analysis.The algorithm has been used in a cross-enterprise project management system and works successfully.