Abstract
This article describes a dispatching approach for Automated Guided Vehicles with a capacity of greater than one load (referred as Multiple Load Automated Guided Vehicles). The approach is based on modelling the dispatching task as a Dial-a-Ride Problem. An Adaptive Large Neighborhood Search heuristic was employed to find solutions for small vehicle fleets online. To investigate the performance of this heuristic the generated solutions are compared to results of an exact solution method and well established rule-based dispatching policies. The comparison is based on test instances of a use case in semiconductor industry.
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Acknowledgements
The work was performed in the project Responsive Fab, co-funded by grants from the European Union (EFRE) and the Free State of Saxony (SAB).
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Boden, P., Hahne, H., Rank, S., Schmidt, T. (2020). Dispatching of Multiple Load Automated Guided Vehicles Based on Adaptive Large Neighborhood Search. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_45
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DOI: https://doi.org/10.1007/978-3-030-48439-2_45
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