Assigning and scheduling service visits in a mixed urban/rural setting

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dc.contributor.authorAntunes, Mark
dc.contributor.authorArmant, Vincent
dc.contributor.authorBrown, Kenneth N.
dc.contributor.authorDesmond, Daniel
dc.contributor.authorEscamocher, Guillaume
dc.contributor.authorGeorge, Anne-Marie
dc.contributor.authorGrimes, Diarmuid
dc.contributor.authorO'Keeffe, Mike
dc.contributor.authorLin, Yiqing
dc.contributor.authorO'Sullivan, Barry
dc.contributor.authorOzturk, Cemalettin
dc.contributor.authorQuesada, Luis
dc.contributor.authorSiala, Mohamed
dc.contributor.authorSimonis, Helmut
dc.contributor.authorWilson, Nic
dc.contributor.funderUnited Technologies Corporation, United Statesen
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2020-07-31T12:39:13Z
dc.date.available2020-07-31T12:39:13Z
dc.date.issued2020-06-18
dc.date.updated2020-07-31T12:20:28Z
dc.description.abstractThis paper describes a maintenance scheduling application, which was developed together with an industrial partner. This is a highly combinatorial decision process, to plan and schedule the work of a group of travelling repair technicians, which perform preventive and corrective maintenance tasks at customer locations. Customers are located both in urban areas, where many customers are in close proximity, and in sparsely populated rural areas, where the travel time between customer sites is significant. To balance the workload for the agents, we must consider both the productive working time, as well as the travel between locations. As the monolithic problem formulation is unmanageable, we introduce a problem decomposition into multiple sequential steps, that is compatible with current management practice. We present and compare different models for the solution steps, and discuss results on datasets provided by the industrial partner.en
dc.description.sponsorshipScience Foundation Ireland (Grant No. 12/RC/2289 P2)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid2060007en
dc.identifier.citationAntunes, M., Armant, V., Brown, K. N., Desmond, D., Escamocher, G., George, A.-M., Grimes, D., O'Keeffe, M., Lin, Y., O'Sullivan, B., Ozturk, C., Quesada, L., Siala, M., Simonis, H. and Wilson, N. (2020) 'Assigning and scheduling service visits in a mixed urban/rural setting', International Journal on Artificial Intelligence Tools, 29(3-4), 2060007 (31pp). doi: 10.1142/S0218213020600076en
dc.identifier.doi10.1142/S0218213020600076en
dc.identifier.eissn1793-6349
dc.identifier.endpage31en
dc.identifier.issn0218-2130
dc.identifier.issued3-4en
dc.identifier.journaltitleInternational Journal on Artificial Intelligence Toolsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/10349
dc.identifier.volume29en
dc.language.isoenen
dc.publisherWorld Scientific Publishing Companyen
dc.rights© 2020, World Scientific Publishing Company. All rights reserved. This is the accepted version of an article published in International Journal on Artificial Intelligence Tools, available online: https://doi.org/10.1142/S0218213020600076en
dc.subjectMaintenance schedulingen
dc.subjectService planningen
dc.subjectTravelling repair personen
dc.titleAssigning and scheduling service visits in a mixed urban/rural settingen
dc.typeArticle (peer-reviewed)en
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