Abstract
Due to the international business competition of modern manufacturing enterprises, manufacturing systems are forced to quickly respond to the emergence of changing conditions. Production control has become more challenging as manufacturing systems adapt to frequent demand variation. Inherited from the hormone regulation principle, an adaptive control model of production system integrated with a backlog controller and a work-in-progress (WIP) controller is presented for reducing backlog variation and keeping a defined WIP level. The simulation results show that the presented control model is more responsive and robust against demand disturbances such as rush orders in manufacturing system.
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Tang, D., Zheng, K., Gu, W. (2020). Production Control Strategy Inspired by Neuroendocrine Regulation. In: Adaptive Control of Bio-Inspired Manufacturing Systems. Research on Intelligent Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-15-3445-4_4
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DOI: https://doi.org/10.1007/978-981-15-3445-4_4
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