A multi-scenario model for empty container repositioning under uncertain demand

DI FRANCESCO, MASSIMO;Lai M;ZUDDAS, PAOLA

2013-01-01

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Abstract

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.