A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71645-4_17
Reference19 articles.
1. Nessari, S., Tavakkoli-Moghaddam, R., Bakhshi-Khaniki, H., Bozorgi-Amiri, A.: A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems. Decis. Anal. J. 11, 100485 (2024)
2. Destouet, C., Tlahig, H., Bettayeb, B., Mazari, B.: Flexible job shop scheduling problem under Industry 5.0: a survey on human reintegration, environmental consideration and resilience improvement. J. Manuf. Syst. 67, 155–173 (2023)
3. Aheleroff, S., Huang, H., Xu, X., Zhong, R.Y.: Toward sustainability and resilience with Industry 4.0 and Industry 5.0. Front. Manuf. Technol. 2, 951643 (2022)
4. Müller, D., Kress, D.: Filter-and-fan approaches for scheduling flexible job shops under workforce constraints. Int. J. Prod. Res. 60, 4743–4765 (2022)
5. Hongyu, L., Xiuli, W.: A survival duration-guided NSGA-III for sustainable flexible job shop scheduling problem considering dual resources. IET Collab. Intell. Manuf. 3, 119–130 (2021)
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