Abstract
This paper presents a new approach to proactive reactive scheduling of stochastic resource-constrained project scheduling problems with known probability distributions of activity durations. To facilitate the search for cost-flexible proactive schedules that are adjustable and incur lower expected cost of future rescheduling, a new family of cost-based flexibility measures is introduced. Under these measures, cost is incurred on each rescheduling while taking into account the temporal distance of changes in the baseline schedule. We propose a new model that describes the integrated approach using the proposed cost-based flexibility measures where, in each stage, reactive scheduling can adjust the baseline schedule to accommodate flexibility and quality requirements. The model is based on bounded stochastic shortest path with finite state and action spaces. The commonly used schedule stability measure is put in the context of proposed family of flexibility measures and contrasted to them in the terms of project execution system properties.
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Brčić, M., Kalpić, D., Katić, M. (2014). Proactive Reactive Scheduling in Resource Constrained Projects with Flexibility and Quality Robustness Requirements. In: Fouilhoux, P., Gouveia, L., Mahjoub, A., Paschos, V. (eds) Combinatorial Optimization. ISCO 2014. Lecture Notes in Computer Science(), vol 8596. Springer, Cham. https://doi.org/10.1007/978-3-319-09174-7_10
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DOI: https://doi.org/10.1007/978-3-319-09174-7_10
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