Abstract
AbstractWhen uncertainties come into play, the leveled baseline schedule obtained by solving the deterministic resource leveling problem can hardly be executed as planned and this schedule may even become infeasible. In addition, traditional stochastic methods may also suffer from not being able to produce satisfactorily leveled schedules. Therefore, there is a pressing need for new procedures that are capable of dealing with resource leveling subject to uncertainties. The writers study the resource leveling problem subject to activity durations uncertainty where the usage of renewable resources needs to be leveled over time. Two heuristics for producing scheduling policies are presented with the objective of minimizing the expected sum of the weighted coefficient of variation of the resource usage. The two heuristics represent two different ways of tackling the stochastic resource leveling problem. The first heuristic, a modified version of the Burgess and Killebrew leveling procedure, obtains a scheduli...
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