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.
CITATION STYLE
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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