A Simulated Annealing Based Method for Sequencing Problem in Mixed Model Assembly Lines-Reference-Cited by-同舟云学术

A Simulated Annealing Based Method for Sequencing Problem in Mixed Model Assembly Lines

Published:2020-08-29 Issue: Volume: Page:331-341
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Krenczyk Damian^ORCID,Dziki Karol^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57802-2_32

Reference20 articles.

1. Ćwikła, G., Grabowik, C., Kalinowski, K., Paprocka, I., Banaś, W.: The initial considerations and tests on the use of real time locating system in manufacturing processes improvement. IOP Conf. Ser. Mater. Sci. Eng. 400, 1757–8981 (2018)

2. Golz, J.: Part feeding at high-variant mixed-model assembly lines. Flex. Serv. Manuf. J. 24, 119–141 (2011)

3. Akpinar, S., Bayhan, G.M.: A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints. Eng. Appl. Artif. Intell. 24, 449–457 (2011)

4. Scholl, A., Voß, S.: Simple assembly line balancing—heuristic approaches. J. Heuristics 2(3), 217–244 (1996)

5. Simaria, A.S., Vilarinho, P.M.: A genetic algorithm based approach to the mixed-model assembly line balancing problem of type II. Comput. Ind. Eng. 47, 391–407 (2004)

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