Analysing the relationship between design process composition and robustness to task delays

Abstract

In this paper, Monte-Carlo simulation is used to investigate how the robustness of hypothetical process fragments is influenced by the number of dependencies between tasks and the resource constraints within the cluster. We show how aggregation of these results on a graphical 'robustness profile' allows conclusions to be drawn about the factors which govern process robustness, and argue that this can provide insight to support the improvement of more complex, realistic processes.