An adjustable robust optimization model for the resource-constrained project scheduling problem with uncertain activity durations

• Published in: Omega (Oxford) Vol. 71; pp. 66 - 84
• Main Authors: Bruni, M.E., Di Puglia Pugliese, L., Beraldi, P., Guerriero, F.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2017
• Subjects: Benders decomposition; Project scheduling; Resource constraints; Robust optimization; Resource constraints; Project scheduling; Robust optimization; Benders decomposition

This paper addresses the resource-constrained project scheduling problem with uncertain activity durations. An adaptive robust optimization model is proposed to derive the resource allocation decisions that minimize the worst-case makespan, under general polyhedral uncertainty sets. The properties o...