A decision support system for management of an intermodal container termina
l is presented. Among problems to be solved are the spatial allocation of c
ontainers in the terminal yard, the allocation of resources, and the schedu
ling of operations to maximise a performance function based on economic ind
icators. These problems are solved using techniques from optimisation, such
as job-shop scheduling, genetic algorithms or mixed-integer linear program
ming. At the terminal, the same problems are usually solved by the terminal
manager, using only his experience. The manager can trust computer-generat
ed solutions only by validating them by means of a simulation model of the
terminal. Thus, the simulation tool also becomes a means to introduce new a
pproaches into traditional settings. We focus on the resource allocation pr
oblem and describe our modules for optimisation of the allocation process a
nd the simulation of the terminal. The former is based on integer linear pr
ogramming; the latter is a discrete-event simulation tool based on the proc
ess-oriented paradigm. The simulator provides a testbed for checking the va
lidity and robustness of the policy computed by the optimisation module.