Automatic Customization Framework for Efficient Vehicle Routing System Deployment
Rasku, J., Puranen, T., Kalmbach, A., & Kärkkäinen, T. (2018). Automatic Customization Framework for Efficient Vehicle Routing System Deployment. In P. Diez, P. Neittaanmäki, J. Periaux, T. Tuovinen, & O. Bräysy (Eds.), Computational Methods and Models for Transport: New Challenges for the Greening of Transport (pp. 105-120). Computational Methods in Applied Sciences, 45. Springer. doi:10.1007/978-3-319-54490-8_8
Published inComputational Methods in Applied Sciences
© Springer International Publishing AG 2018.
Vehicle routing systems provide several advantages over manual transportation planning and they are attracting growing attention. However, deployment of these systems can be prohibitively costly, especially for small and medium-sized enterprises: the customization, integration, and migration is laborious and requires operations research expetise. We propose an automated configuration workflow for vehicle routing system and data flow customization, which provides the necessary basis for more experimental work on the subject. Our preliminary results with learning and adaptive algorithms support the assumption of applicability of the proposed configuration framework. The strategies presented here equip implementers with the methods needed, and give an outline for automating the deployment of these systems. This also opens up new directions for research in vehicle routing systems, data exchange, model inference, automatic algorithm configuration, algorithm selection, software customization, and domain-specific languages. ...
Parent publication ISBN978-3-319-54489-2
Is part of publicationComputational Methods and Models for Transport: New Challenges for the Greening of Transport
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