Stochastic and deterministic assignment under uncertainty for automated container terminals

Abstract

We consider the Automated Guided Vehicle (AGV) dispatching problem in container terminals where vehicles are allowed to carry more than one container at a time. This paper presents a micro-simulation framework that seeks to a real-life automated port. The framework validates/evaluates the operational results obtained from an optimization model designed specifically to find the optimal solution to the dual-load AGV dispatching problem. We report on various performance measures associated to container terminals and compare the results to those obtained using heuristic rules.

Publication
19th IFORS Triennial Conference
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Panagiotis Angeloudis
Associate Professor