Authors: Paolo Fadda, Gianfranco Fancello, Marco Pisano, Paola Zuddas
In this paper we present a mathematical model for optimal human resources daily allocation in a transhipment container terminal. The aim is to support planners in finding the minimum cost choice fulfilling different customers' needs and priorities. Problem formulation is mainly based and validated on the direct observation of the real complex decision processes at Cagliari International Container Terminal. The testing phase is performed by an open source code GLPK (Gnu Linear Programming Kit) up to a problem size of 12.144 variables and 1032 constraints in less then 2 seconds.