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.

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.
OPERATIONS RESEARCH
Alberto Caprara;Laura Galli;Sebastian Stiller;Paolo Toth
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.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/402971
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 5
social impact