A Reinforcement Learning Approach for Solving Integrated Mass Customization Process Planning and Job-Shop Scheduling Problem in a Reconfigurable Manufacturing System
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24291-5_31
Reference19 articles.
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3. Morgan, J., Halton, M., Qiao, Y., Breslin, J.G.: Industry 4.0 smart reconfigurable manufacturing machines. J. Manuf. Syst. 59, 481–506 (2021). https://doi.org/10.1016/j.jmsy.2021.03.001
4. Koren, Y., Gu, X., Guo, W.: Reconfigurable manufacturing systems: principles, design, and future trends. Front. Mech. Eng. 13(2), 121–136 (2017). https://doi.org/10.1007/s11465-018-0483-0
5. Bruccoleri, M., Nigro, G.L., Perrone, G., Renna, P., Diega, S.N.L.: Production planning in reconfigurable enterprises and reconfigurable production systems. CIRP Ann. 54(1), 433–436 (2005). https://doi.org/10.1016/S0007-8506(07)60138-3
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