This paper investigates the maritime repositioning of empty containers under uncertain demand. In order to consider data uncertainty, the problem is addressed by a stochastic programming approach, in which different scenarios are included in a multi-scenario optimization model and linked by non-anticipativity conditions. Numerical experiments show the benefits of multi-scenario solutions with respect to deterministic approaches, which consider only a single point forecast for each uncertain parameter.
|Titolo:||A multi-scenario model for empty container repositioning under uncertain demand|
|Data di pubblicazione:||2013|
|Tipologia:||4.1 Contributo in Atti di convegno|