Coping with Uncertainty in Scheduling
Deterministic scheduling models usually suffer from the fact that they neglect random influences that occur during project execution. A typical consequence often encountered in practice is the underestimation of the expected project duration and project cost. The area of stochastic scheduling provides methods and tools to cope with these phenomena. I will present a survey on recent developments in this area for problems with random processing times but fixed precedence and resource constraints.