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dc.contributor.authorMoreno Camacho, Carlos Alberto
dc.contributor.authorMontoya Torres, Jairo Rafael
dc.date.accessioned05/06/2019 9:19
dc.date.available05/06/2019 9:19
dc.date.issued2016-03-24
dc.identifier.issn1860-949X
dc.identifier.otherhttps://link.springer.com/chapter/10.1007/978-3-319-30337-6_11
dc.identifier.urihttp://hdl.handle.net/10818/35467
dc.description10 páginases_CO
dc.description.abstractProduction scheduling in manufacturing systems is a highly complex task. It involves the allocation of limited resources (machines, tools, personnel, etc.) for the execution of specific jobs. In the case of workforce scheduling, unique human characteristics must also be considered, further complicating the task, as similar characteristics are not present in machines. Numerous published research works have examined issues of workforce scheduling by evaluating employee characteristics. Moreover, as business policies must nowadays sup-port social responsibility objectives, academic works have considered this dimension. This paper reviews academic literature on workforce scheduling strategies that consider social responsibility issues in order to identify quantitative methods and techniques employed. A systematic literature review is conducted to form an objective, rigorous, and reproducible framework that minimizes biases in the inclusion/exclusion of analysed works. Applications, trends, and gaps are identified, thus identifying pertinent avenues for future research.en
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherStudies in Computational Intelligencees_CO
dc.relation.ispartofseriesService Orientation in Holonic and Multi-Agent Manufacturing, volume 640 pp 115-123
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad de La Sabanaes_CO
dc.sourceIntellectum Repositorio Universidad de La Sabanaes_CO
dc.subject.otherWorkforce schedulingen
dc.subject.otherManufacturingen
dc.subject.otherSocial responsibilityen
dc.subject.otherModelling approachesen
dc.subject.otherSystematic literature reviewen
dc.titleSustainability in Production Systems: A Review of Optimization Methods Studying Social Responsibility Issues in Workforce Schedulingen
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO


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