Abstract
For the right configuration of production systems it is crucial to know the optimum operating point by way of a functional correlation between work in process and output rate or throughput time respectively.
As a matter of fact, executives and managers are quite familiar with this correlation which, however, rarely leads to its formal-mathematical application. Among others, this is due to the specific prerequisites arising from the application of general laws from queuing theory and operating curve theory.
Therefore, this paper will discuss our approach for a practical determination and description of suitable reference value systems using aggregated operating curves. The main focus will be directed towards the system’s behaviour of complex production systems in versatile batch production, as it is frequently encountered in mechanical and plant engineering.
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Bergmann, U., Heinicke, M., Wagenhaus, G., Schmidt, S. (2021). Evaluation of Complex Manufacturing Systems in the Context of Aggregated Operating Curves. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-030-85914-5_14
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DOI: https://doi.org/10.1007/978-3-030-85914-5_14
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