Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/41681
Title: Hybrid heuristics for planning job rotation schedules in assembly lines with heterogeneous workers
Keywords: Assembly lines
Job rotation
Hybrid algorithm
Linhas de montagem
Rotação de trabalho
Algoritmo híbrido
Issue Date: Feb-2013
Publisher: Elsevier
Citation: MOREIRA, M. C. O.; COSTA, A. M. Hybrid heuristics for planning job rotation schedules in assembly lines with heterogeneous workers. International Journal of Production Economics, Amsterdam, v. 141, n. 2, p. 552-560, Feb. 2013.
Abstract: We investigate the problem of balancing assembly lines with heterogeneous workers while considering job rotation schedules. This problem typically occurs in assembly lines in sheltered work centers for disabled. We propose a hybrid algorithm that uses a Mixed Integer Programming (MIP) to select appropriate schedules from a pool of heuristically constructed solutions. A local search based on MIP neighborhoods is used as a post-optimization method. Our results show that this approach is fast, flexible and accurate when compared with current available methods.
URI: https://www.sciencedirect.com/science/article/abs/pii/S0925527312004070#!
http://repositorio.ufla.br/jspui/handle/1/41681
Appears in Collections:DCC - Artigos publicados em periódicos

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