Resource-constrained project scheduling: a survey of recent developments
Computers and Operations Research
RanGen: A Random Network Generator for Activity-on-the-Node Networks
Journal of Scheduling
The complexity of machine scheduling for stability with a single disrupted job
Operations Research Letters
Meta-heuristics for stable scheduling on a single machine
Computers and Operations Research
The resource-constrained activity insertion problem with minimum and maximum time lags
Journal of Scheduling
Extending the RCPSP for modeling and solving disruption management problems
Applied Intelligence
A heuristic approach for resource constrained project scheduling with uncertain activity durations
Computers and Operations Research
Dynamic supply chain scheduling
Journal of Scheduling
Robust local search for solving RCPSP/max with durational uncertainty
Journal of Artificial Intelligence Research
Proceedings of the Winter Simulation Conference
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The vast majority of the project scheduling research efforts over the past several years have concentrated on the development of workable predictive baseline schedules, assuming complete information and a static and deterministic environment. During execution, however, a project may be subject to numerous schedule disruptions. Proactive-reactive project scheduling procedures try to cope with these disruptions through the combination of a proactive scheduling procedure for generating predictive baseline schedules that are hopefully robust in that they incorporate safety time to absorb anticipated disruptions with a reactive procedure that is invoked when a schedule breakage occurs during project execution.In this paper we discuss the results obtained by a large experimental design set up to evaluate several predictive-reactive resource-constrained project scheduling procedures under the composite objective of maximizing both the schedule stability and the timely project completion probability.