Model and heuristic algorithm of R&D project scheduling problem with stochastic number of activity iterations
2005
Because project scheduling is always under the constraint of resources, the method of coupling activities to cope with activity concurrences and activity iterations in project scheduling faces many difficulties. A process model of R&D projects is presented to satisfy requirements of resource constrained project scheduling. The model integrates uncertain activity durations, uncertain activity outcomes, activity concurrence, and activity iterations into a project scheduling model. Furthermore, A heuristic rule derived from corresponding determinate network is used to resolve the scheduling problem and the algorithm is illustrated with a case.
Keywords:
- Machine learning
- Deadline-monotonic scheduling
- Fair-share scheduling
- Two-level scheduling
- Artificial intelligence
- Lottery scheduling
- Mathematical optimization
- Rate-monotonic scheduling
- Genetic algorithm scheduling
- Dynamic priority scheduling
- Computer science
- Fixed-priority pre-emptive scheduling
- Earliest deadline first scheduling
- Round-robin scheduling
- Flow shop scheduling
- Correction
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