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Abstract.
This paper investigates models and solution algorithms for solving PERT
scheduling problems under uncertainty on task processing times. The
proposed uncertainty model is very general in that it is capable of
representing situations in which various distinct sources of uncertainty
have to be considered ; and realistic in that it is consistent with
the idea that situations featuring simultaneous occurrence of worst-case
values for all (or a majority of) the task processing times do not have
to be taken into account in the robustness analysis. From the computational
point-of-view, a major interest of this uncertainty model is to provide very
compact representations of potentially huge uncertainty sets, thus leading
to efficient solution algorithms. We address both the standard case
(where processing times do not depend on actual starting dates) and
the case of time-dependent task durations.
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