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3325. The resource constrained project scheduling problem with stability constraints.
Invited abstract in session MC-60: Project scheduling under uncertainty, stream Project Management and Scheduling.
Monday, 12:30-14:00Room: S09 (building: 101)
Authors (first author is the speaker)
1. | Maria Elena Bruni
|
Department of Mechanical, Energy and Management Engineering, unical | |
2. | ONCU HAZIR
|
Rennes School of Business |
Abstract
In this research, we study a variant of the project scheduling problem with
resource constraints (RCPSP) under uncertainty. In reality, in fact, project parameters are subject to considerable uncertainty, which generally leads to numerous schedule disruptions. Most optimization approaches focus on the quality robustness and only evaluate the relevance of the solutions through the objective function value. However, it can be more important to optimize the solution robustness, concerning the structural similarities between the nominal solution and the disrupted solutions.
This translates into the need of developing robust schedules that can absorb disruptions as smoothly as possible and, once the uncertainty is revealed, find an alternative solution which is as similar as possible to the nominal solution.
Following this stream, in this talk, we present a two-stage stochastic
programming formulation for the RCPSP where in the first stage, scheduling
decisions are taken considering the information available on the project
parameters. In the second stage, the schedule is completely re-optimized
leading to a new set of starting times, induced precedence relations and
resource flows. We will incorporate solution robustness through stability
constraints added into the model.
Keywords
- Project Management and Scheduling
- Stochastic Optimization
Status: accepted
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