Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3926
Full metadata record
DC FieldValueLanguage
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://hdl.handle.net/20.500.11851/3926-
dc.identifier.urihttps://doi.org/10.1016/j.cor.2020.104908-
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.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofComputers and Operations Researchen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
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.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume118
dc.authorid0000-0002-3448-1522-
dc.authorid0000-0002-1997-306X-
dc.identifier.wosWOS:000530709600006en_US
dc.identifier.scopus2-s2.0-85080995739en_US
dc.institutionauthorYücel, Eda-
dc.institutionauthorKuyzu, Gültekin-
dc.identifier.doi10.1016/j.cor.2020.104908-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.4. Department of Industrial Engineering-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

6
checked on Mar 23, 2024

WEB OF SCIENCETM
Citations

23
checked on Mar 23, 2024

Page view(s)

116
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.