Production Control Strategy Inspired by Neuroendocrine Regulation
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-3445-4_4
Reference25 articles.
1. Ueda, K., Vaario, J., & Ohkura, K. (1997). Modeling of biological manufacturing systems for dynamic reconfiguration. Annals of the CIRP, 46(1), 343–346.
2. Ueda, K., Kito, T., & Fujii, N. (2006). Modeling biological manufacturing systems with bounded-rational agents. Annals of the CIRP, 55(1), 469–472.
3. Chan, F. T. S., Tibrewal, R. K., & Prakash, A. (2015). A biased random key genetic algorithm approach for inventory-based multi-item lot-sizing problem. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229(1), 157–171.
4. Tang, D. B., Gu, W. B., Wang, L., & Zheng, K. (2011). A neuroendocrine-inspired approach for adaptive manufacturing system control. International Journal of Production Research, 49(5), 1256–1258.
5. Deif, A. M., & EIMaraghy, W. H. (2006). A control approach to explore the dynamics of capacity scalability in reconfigurable manufacturing systems. Journal of Manufacturing Systems, 25(1), 12–18.
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