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dc.contributor.authorFinco, Serena
dc.contributor.authorBattini, Daria
dc.contributor.authorDelorme, Xavier
dc.contributor.authorPersona, Alessandro
dc.contributor.authorSgarbossa, Fabio
dc.date.accessioned2019-05-29T08:41:25Z
dc.date.available2019-05-29T08:41:25Z
dc.date.created2019-05-24T20:31:03Z
dc.date.issued2019
dc.identifier.citationInternational journal of production research. 2019nb_NO
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11250/2599377
dc.description.abstractErgonomic aspects have a crucial role in manual assembly systems. They impact on the workers’ health, final product quality and productivity. For these reasons, there is the necessity to integrate them into the assembly line balancing phase as, whereas, only time and cost variables are considered. In this study, human energy expenditures are considered as ergonomic aspects and we integrate them, for the first time, into the assembly line balancing problem type 2 through the rest allowance evaluation. We consider as an objective function the minimization of the smoothness index. Firstly, a new optimal method based on mixed integer linear programming and a new linearization methodology are proposed. Then, a heuristic approach is introduced. To complete the study, a computational experimentation is presented to validate the mathematical model and to compare the methodologies proposed in terms of computational time, complexity and solution. Additionally, we provide a detailed analysis of the impact that rest allowance evaluation can have on productivity comparing the results obtained, taking into account the rest allowance integration before, during and after the assembly balancing process.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.titleWorkers’ rest allowance and smoothing of the workload in assembly linesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalInternational Journal of Production Researchnb_NO
dc.identifier.doihttps://doi.org/10.1080/00207543.2019.1616847
dc.identifier.cristin1700204
dc.description.localcodeLocked until 20 May 2020 due to copyright restrictions. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 20 May 2019, available at https://doi.org/10.1080/00207543.2019.1616847.nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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