Robust optimisation is a well-established concept to deal with uncertainty. In particular, recovery-robust models are suitable for real-world contexts, where a certain amount of recovery-although limited-is often available. In this paper we describe a general framework to optimise event-based problems against delay propagation. We also present a real-world application to train platforming in the Italian railways in order to show the practical effectiveness of our framework.
Alberto Caprara, Laura Galli, Sebastian Stiller, Paolo Toth (2014). Delay-Robust Event Scheduling. OPERATIONS RESEARCH, 62, 274-283 [10.1287/opre.2014.1259].
Delay-Robust Event Scheduling
CAPRARA, ALBERTO;GALLI, LAURA;TOTH, PAOLO
2014
Abstract
Robust optimisation is a well-established concept to deal with uncertainty. In particular, recovery-robust models are suitable for real-world contexts, where a certain amount of recovery-although limited-is often available. In this paper we describe a general framework to optimise event-based problems against delay propagation. We also present a real-world application to train platforming in the Italian railways in order to show the practical effectiveness of our framework.File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
