Abstract
A linear program-assisted hybrid algorithm (GRASP-LP) is presented to solve a mixed-model sequencing problem in an assembly line. The issue of the problem is to obtain manufacturing sequences of product models with the minimum work overload, allowing the free interruption of operations at workstations and preserving the production mix. The implemented GRASP-LP is compared with other procedures through a case study linked with the Nissan’ Engine Plant from Barcelona.
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Bautista, J., Batalla-García, C., Alfaro-Pozo, R.: Models for assembly line balancing by temporal, spatial and ergonomic risk attributes. Eur. J. Oper. Res. 251(3), 814–829 (2016)
Boysen, N., Fliedner, M., Scholl, A.: Sequencing mixed-model assembly lines: survey, classification and model critique. Eur. J. Oper. Res. 192(2), 349–373 (2009)
Bautista, J., Cano, A.: Solving mixed model sequencing problem in assembly lines with serial workstations with work overload minimisation and interruption rules. Eur. J. Oper. Res. 210(3), 495–513 (2011)
Cano-Belmán, J., Ríos-Mercado, R.Z., Bautista, J.: A scatter search based hyper-heuristic for sequencing a mixed-model assembly line. J. Heuristics 16(6), 749–770 (2010)
Bautista, J., Pereira, J., Adenso-Díaz, B.: A GRASP approach for the extended car sequencing problem. J. Sched. 11, 3–16 (2008)
Monden, Y.: Toyota Production System: An Integrated Approach to Just-In-Time. Springer, New York (1994)
Bautista, J., Alfaro-Pozo, R., Batalla-García, C.: GRASP for sequencing mixed models in an assembly line with work overload, useless time and production regularity. Prog. Artif. Intell. 5(1), 27–33 (2016)
Bautista, J., Cano, A., Alfaro, R., Batalla, C.: Impact of the Production Mix Preservation on the ORV Problem. Advances in Artificial Intelligence, Volume 8109 of the series Lecture Notes in Computer Science, pp. 250–259. Springer, Berlin (2013)
Bautista, J., Cano, A., Alfaro, R.: Modeling and solving a variant of the mixed-model sequencing problem with work overload minimisation and regularity constraints. An application in Nissan’s Barcelona Plant. Expert Syst. Appl. 39(12), 11001–11010 (2012)
Bautista, J., Cano, A., Alfaro, R.: A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions. Prog. Artif. Intell. (2016). doi:10.1007/s13748-016-0101-5
Resende, M.G.C., Ribeiro, C.C.: Greedy randomized adaptive search procedures: advances, hybridizations, and applications. In: Gendreau, M., Potvin, J.Y. (eds.) Handbook of Metaheuristics, pp. 283–319. Springer US (2010)
Vanderbei, R.J.: Linear Programming. Foundations and Extensions. International Series in Operations Research & Management Science, vol. 114. Springer, New York (2008)
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This has been funded by the Ministerio de Economía y Competitividad (Spanish Government) through the FHI-SELM2 (TIN2014-57497-P) project.
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Bautista, J., Alfaro-Pozo, R. Free and regular mixed-model sequences by a linear program-assisted hybrid algorithm GRASP-LP. Prog Artif Intell 6, 159–169 (2017). https://doi.org/10.1007/s13748-017-0110-z
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DOI: https://doi.org/10.1007/s13748-017-0110-z