Abstract
Freight forwarders organize transport chains by hiring resources from freight carriers. Capacity control is used by a freight carrier to control the consumption of its network resources (trucks, trains, aircrafts…). Especially, a freight carrier uses capacity control mechanisms to decide if a forwarder’s request proposal is accepted or rejected. Since capacity control exploits estimations of future demand, a minor accuracy of demand forecast compromises the successful application of capacity control tools. In this paper, we present basic models and control strategies for supporting the acceptance decision making of a freight carrier. We explore the impacts of inaccurate demand forecasts on the achieved revenues within computational simulation experiments.
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Schönberger, J., Kopfer, H. (2011). Approaching the Application Borders of Network Capacity Control in Road Haulage. In: Hülsmann, M., Scholz-Reiter, B., Windt, K. (eds) Autonomous Cooperation and Control in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19469-6_5
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DOI: https://doi.org/10.1007/978-3-642-19469-6_5
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