A New Genetic Algorithm Approach to Optimize the Workload Balance in a Case Study of a Footwear Industry

Author:

Ruiz Lísia PerozaORCID,Esposito AdelanoORCID

Publisher

Springer Nature Switzerland

Reference6 articles.

1. Shanker, K., Srinivasulu, A.: Some solution methodologies for loading problems in a flexible manufacturing system. Int. J. Prod. Res. 27(6), 1019–1103 (1989)

2. Egilmez, G., et al.: Group scheduling in a cellular manufacturing shop to minimise total tardiness and nT: a comparative genetic algorithm and mathematical modelling approach. Int. J. Serv. Oper. Manag. 24(1), 125–146 (2016)

3. Shanker, K., Tzen, Y.-J.J.: A loading and dispatching problem in a random flexible manufacturing system. Int. J. Prod. Res. 23(3), 579–595 (1985)

4. Kumar, A., et al.: Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm. Eur. J. Oper. Res. 175, 1043–1069 (2006)

5. Forghani, K., Mohammadi, M.: A genetic Algorithm for Solving Integrated Cell Formation and Layout Problem Considering Alternative Routings and Machine Capacities, pp, 15719–14911. Industrial Engineering Kharazmi University, Tehran (2013)

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