We investigate resource‐constrained project scheduling with stochastic activity durations. Various objective functions related to timely project completion are examined, as well as the correlation between these objectives. We develop a GRASP‐heuristic to produce high‐quality solutions, using so‐called descriptive sampling. The algorithm outperforms existing algorithms for expected‐makespan minimization. The distribution of the possible makespan realizations for a given scheduling policy is also studied.
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Ballestı́n et al. (2009) studied this question.
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