Title :
The resource-constrained project scheduling problem with stochastic activity durations
Author_Institution :
Sch. of Manage., IESEG, Lille, France
Abstract :
The Resource-Constrained Project Scheduling Problem (RCPSP) has been widely studied. A fundamental assumption of the RCPSP is that the activity durations are known before their execution. In reality, however, this is almost never the case. In this article, we illustrate why it is important to incorporate activity duration variability and develop an exact model to solve the Stochastic Resource-Constrained Scheduling Problem (SRCPSP). The performance of the model is assessed using a computational experiment. The model is intended for small-to medium sized projects where activities have a moderate-to large level of duration variability.
Keywords :
project management; scheduling; small-to-medium enterprises; RCPSP; activity duration variability; resource-constrained project scheduling problem; small-to-medium sized projects; stochastic activity durations; stochastic resource-constrained scheduling problem; Central Processing Unit; Computational modeling; Job shop scheduling; Optimal scheduling; Processor scheduling; Schedules; Stochastic processes; RCPSP; project management; resource constraints; scheduling; stochastic activity durations;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
DOI :
10.1109/IEEM.2014.7058679