Generating decision rules for flexible capacity expansion to achieve better lifecycle performance

A flexible capacity expansion strategy is important for engineering systems since it enables decision-makers to adjust the capacity of systems as uncertainty unfolds. In a flexible capacity expansion problem, how to generate the optimal decision rule to determine when and how to expand the capacity is a challenging task. In this paper, a parameter optimization framework is proposed to automatically generate decision rules for flexible capacity...