dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorMoreira, Mayron Cesar O.
dc.creatorRitt, Marcus
dc.creatorCosta, Alysson M.
dc.creatorChaves, Antonio A.
dc.date2014-05-20T15:31:05Z
dc.date2016-10-25T18:06:48Z
dc.date2014-05-20T15:31:05Z
dc.date2016-10-25T18:06:48Z
dc.date2012-06-01
dc.date.accessioned2017-04-06T00:20:25Z
dc.date.available2017-04-06T00:20:25Z
dc.identifierJournal of Heuristics. Dordrecht: Springer, v. 18, n. 3, p. 505-524, 2012.
dc.identifier1381-1231
dc.identifierhttp://hdl.handle.net/11449/40316
dc.identifierhttp://acervodigital.unesp.br/handle/11449/40316
dc.identifier10.1007/s10732-012-9195-5
dc.identifierWOS:000303588800006
dc.identifierhttp://dx.doi.org/10.1007/s10732-012-9195-5
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/883103
dc.descriptionWe propose simple heuristics for the assembly line worker assignment and balancing problem. This problem typically occurs in assembly lines in sheltered work centers for the disabled. Different from the well-known simple assembly line balancing problem, the task execution times vary according to the assigned worker. We develop a constructive heuristic framework based on task and worker priority rules defining the order in which the tasks and workers should be assigned to the workstations. We present a number of such rules and compare their performance across three possible uses: as a stand-alone method, as an initial solution generator for meta-heuristics, and as a decoder for a hybrid genetic algorithm. Our results show that the heuristics are fast, they obtain good results as a stand-alone method and are efficient when used as a initial solution generator or as a solution decoder within more elaborate approaches.
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageeng
dc.publisherSpringer
dc.relationJournal of Heuristics
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAssembly lines
dc.subjectDisabled workers
dc.subjectHeuristic approaches
dc.subjectHybrid genetic algorithm
dc.titleSimple heuristics for the assembly line worker assignment and balancing problem
dc.typeOtro


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