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Stochastic Resource-Constrained Project Scheduling Based on Discrete-Event Simulation and Multiple-Comparison Procedure

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A discrete-event simulation approach is proposed to solve the stochastic resource-constrained project scheduling problem (SRCPSP) in view of minimizing project makespan. An extended-directed-graph (EDG) based on activity-on-node network is used to describe the precedence constraints and resource constraints of SRCPSP, and the activity scanning simulation strategy is applied on the EDG model to generate feasible schedules of SRCPSP. A statistical method using common random numbers (CRN), namely multiple-comparison procedure, is exploited to compare multiple scheduling alternatives obtained from simulation so as to select the best alternative with the minimal average project makespan and make differences between alternatives. The effectiveness and efficiency of the proposed method is demonstrated by comparing with other methods.
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Keywords: COMMON RANDOM NUMBERS; DISCRETE-EVENT SIMULATION; MULTIPLE-COMPARISON PROCEDURE; STOCHASTIC RESOURCE-CONSTRAINED PROJECT SCHEDULING

Document Type: Research Article

Publication date: 2012-03-01

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