Authors: Patrizia Beraldi, Maria Elena Bruni, Francesca Guerriero, Erika Pinto
In this paper we analyze the resource-constrained project scheduling problem under uncertainty. Project activities are assumed to have known deterministic renewable resource requirements and probabilistic activity durations described by random variables with a given density function. We develop heuristic algorithms for building a schedule with protected starting times, obtained using a buffering mechanism guided by probabilistic information.