Abstract
Operators of parcel transshipment terminals face the challenge of sorting and transferring a large number of parcels efficiently. In order to meet customer expectations, short sorting intervals are required. In this paper we present a technical framework that combines metaheuristics with discrete-event simulation (DES) to provide robust solutions for problems at the operational level of parcel transshipment terminals. First, the framework applies metaheuristics such as local search solve the problem of scheduling incoming trucks as well as allocations at the loading gates taking into account the characteristics of the internal sorting system. Next, detailed conclusions on the real system behavior are drawn by testing the solutions in multiple DES experiments with stochastic processing times. The paper presents first results using our framework and investigates the procedure with regard to the solutions quality and runtime requirements.
Published Version
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