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dc.contributor.authorÇakırgil, Seray
dc.contributor.authorYücel ,Eda
dc.contributor.authorKuyzu, Gültekin
dc.date.accessioned2020-11-18T06:48:03Z
dc.date.available2020-11-18T06:48:03Z
dc.date.issued2020-06
dc.identifier.citationÇakırgil, S., Yücel, E., & Kuyzu, G. (2020). An integrated solution approach for multi-objective, multi-skill workforce scheduling and routing problems. Computers & Operations Research, 118, 104908.en_US
dc.identifier.issn0305-0548
dc.identifier.otherarticle number 104908, number of pages 17
dc.identifier.urihttps://doi.org/10.1016/j.cor.2020.104908
dc.identifier.urihttp://hdl.handle.net/20.500.11851/3926
dc.description.abstractWe study the multi-skill workforce scheduling and routing problem in field service operations. It is motivated by a real-life problem faced by electricity distribution companies on a daily basis. Given a set of technicians with different skills and a set of geographically dispersed tasks with different skill requirements and priorities, the aim is to form teams of technicians and to assign a sequence of tasks to each team according to their skills. There are two objectives: completing higher priority tasks earlier and minimizing total operational costs. We propose a mixed integer programming model to find Pareto optimal solutions. Because the computational effort considerably increases for real life problem instances, we propose a two-stage matheuristic to obtain a good approximation of the Pareto frontier. We demonstrate the performance of the proposed matheuristic in real life problem instances and instances from the literature.en_US
dc.language.isoengen_US
dc.publisherElsevier Ltd.en_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectWorkforce scheduling and routingen_US
dc.subjectBi-objective decision makingen_US
dc.subjectMatheuristicsen_US
dc.subjectVariable neighborhood searchen_US
dc.titleAn integrated solution approach for multi-objective, multi-skill workforce scheduling and routing problemsen_US
dc.typearticleen_US
dc.relation.journalComputers and Operations Researchen_US
dc.contributor.departmentTOBB ETU, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.contributor.departmentTOBB ETÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume118
dc.contributor.orcidhttps://orcid.org/0000-0002-3448-1522
dc.contributor.orcidhttps://orcid.org/0000-0002-1997-306X
dc.identifier.wosWOS:000530709600006
dc.identifier.scopus2-s2.0-85080995739
dc.contributor.tobbetuauthorYücel, Eda
dc.contributor.tobbetuauthorKuyzu, Gültekin
dc.contributor.YOKid235501
dc.contributor.YOKid19092
dc.identifier.doi10.1016/j.cor.2020.104908
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR


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