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.
A multi-scenario model for empty container repositioning under uncertain demand
2013-05-01
973720 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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