A Mathematical Model of the Multi-objective Flexible Job-Shop Scheduling Considering Human Factors
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0194-0_19
Reference10 articles.
1. Andy M, Ham Eray C (2016) Flexible job shop scheduling problem with parallel batch processing machines: MIP and CP approaches. Comput Industr Eng 102:160–165
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3. Afsar S, Vela VR, Palacios JP, Gonzalez-Rodriguez I (2023) Mathematical models and benchmarking for the fuzzy job shop scheduling problem. Comput Ind Eng 183:109454
4. Li X, Gao L (2016) An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem. Int J Prod Econ 174:93–110
5. Feng Y, Li G, Sethi SP (2018) A three-layer chromosome genetic algorithm for multi-cell scheduling with flexible routes and machine sharing. Int J Prod Econ 196:269–283
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