  This paper presents a simulation approach to enhance the performance of
heuristics for multi-project scheduling. Unlike other heuristics available in
the literature that use only one priority criterion for resource allocation,
this paper proposes a structured way to sequentially apply more than one
priority criterion for this purpose. By means of simulation, different feasible
schedules are obtained to, therefore, increase the probability of finding the
schedule with the shortest duration. The performance of this simulation
approach was validated with the MPSPLib library, one of the most prominent
libraries for resource-constrained multi-project scheduling. These results
highlight the proposed method as a useful option for addressing limited time
and resources in portfolio management.
