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Resource-constrained project scheduling for timely project completion with stochastic activity durationsWe 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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