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dc.contributor.authorRasku, Jussi
dc.contributor.authorPuranen, Tuukka
dc.contributor.authorKalmbach, Antoine
dc.contributor.authorKärkkäinen, Tommi
dc.date.accessioned2018-11-16T08:24:27Z
dc.date.available2019-06-30T21:35:54Z
dc.date.issued2018fi
dc.identifier.citationRasku, 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.), <em>Computational Methods and Models for Transport: New Challenges for the Greening of Transport</em> (pp. 105-120). Computational Methods in Applied Sciences, 45. Springer. <a href="https://doi.org/10.1007/978-3-319-54490-8_8">doi:10.1007/978-3-319-54490-8_8</a>fi
dc.identifier.otherTUTKAID_74334
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/60207
dc.description.abstractVehicle 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.fi
dc.format.extent252
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofComputational Methods and Models for Transport: New Challenges for the Greening of Transport
dc.relation.ispartofseriesComputational Methods in Applied Sciences
dc.rightsIn Copyright
dc.subject.othervehicle routing systemsfi
dc.titleAutomatic Customization Framework for Efficient Vehicle Routing System Deploymentfi
dc.typebookPart
dc.identifier.urnURN:NBN:fi:jyu-201811154739
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikka
dc.type.urihttp://purl.org/eprint/type/BookItem
dc.date.updated2018-11-15T16:15:11Z
dc.relation.isbn978-3-319-54489-2
dc.description.reviewstatuspeerReviewed
dc.format.pagerange105-120
dc.relation.issn1871-3033
dc.relation.numberinseries45
dc.type.versionacceptedVersion
dc.rights.copyright© Springer International Publishing AG 2018.
dc.rights.accesslevelopenAccessfi
dc.format.contentfulltext
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-319-54490-8_8


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