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dc.contributor.authorSnauwaert, Jakob
dc.contributor.authorVanhouke, Mario
dc.date.accessioned2021-02-22T08:24:24Z
dc.date.available2021-02-22T08:24:24Z
dc.date.issued2021en_US
dc.identifier.issn0377-2217
dc.identifier.doi10.1016/j.ejor.2020.10.032
dc.identifier.urihttp://hdl.handle.net/20.500.12127/6652
dc.description.abstractThis paper addresses a multi-skilled extension of the resource-constrained project scheduling problem (RCPSP). Although a handful of papers dealt with the multi-skilled RCPSP (MSRCPSP), little to no attention is given to the ideal levels of skills for multi-skilled resources. In this paper, skills are measured along two dimensions known as breadth and depth. In a project environment, the breadth of a resource is perceived as the amount of skills an employee masters. The depth of a skill is the efficiency level at which work can be performed by a resource that masters that skill. The MSRCPSP with breadth and depth consists of scheduling activities with skill requirements and assigning multi-skilled resources to those activities. To be able to efficiently solve the MSRCPSP, a genetic algorithm is developed. Using the created activity schedules and resources assignments, the best workforce characteristics are analysed. Key aspects in this analysis are the breadth and depth. The problem-specific procedure combines a new representation, a new crossover and tailor-made local searches. Computational experiments measure the impact of different multi-skilled resources and their efficiency levels on the makespan of the project.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectProject Schedulingen_US
dc.subjectResource-constrained Schedulingen_US
dc.subjectMulti-skilled Resourcesen_US
dc.subjectGenetic Algorithmen_US
dc.titleA new algorithm for resource-constrained project scheduling with breadth and depth of skillsen_US
dc.identifier.journalEuropean Journal of Operational Researchen_US
dc.source.volume292en_US
dc.source.issue1en_US
dc.source.beginpage43en_US
dc.source.endpage59en_US
dc.contributor.departmentFaculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, Ghent 9000, Belgiumen_US
dc.contributor.departmentUCL School of Management, University College London, 1 Canada Square, London E14 5AA, UKen_US
vlerick.knowledgedomainOperations & Supply Chain Managementen_US
vlerick.typearticleVlerick strategic journal articleen_US
vlerick.vlerickdepartmentTOMen_US
dc.identifier.vperid58614en_US


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