This paper provides a risk modeling approach to facilitate the evaluation and the design of Supply Chain Networks (SCNs) operating under uncertainty. The usefulness of the approach is demonstrated with two realistic case studies. Three event types are defined to describe plausible future SCN...

This paper studies various modeling approaches to design resilient supply networks (SN) for the location–transportation problem under uncertainty. The future environment of the SN is shaped by random demands, and by disruptions perturbing depots capacity and ship-to-point demand processes. The...

In this paper, we describe a new method to solve Linear Programming (LP) problems which have uncertain right-hand-sides. We apply this to planning problems where a rolling planning horizon is used and where robustness is important. In particular, we are interested in applications where the...