Autonomous Production Control Methods - Job Shop Simulations

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Abstract

With the development of Industry 4.0 and the Internet of Things, autonomous production control is regarded as a feasible and promising approach for meeting the increasing challenges of complexity and flexibility. To implement autonomous production control methods in practice, a deeper understanding of their characteristics is necessary. This research provides a comparative perspective on existing methods. We study selected autonomous production control methods under various scenarios, and derive insights for the design of such systems in industrial practice.

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Zhao, Z., Antons, O., & Arlinghaus, J. C. (2020). Autonomous Production Control Methods - Job Shop Simulations. In Lecture Notes in Logistics (pp. 227–235). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-44783-0_22

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