Abstract
In this chapter we provide a framework within which concepts from the field of systems and control can be used for controlling manufacturing systems. After introducing some basic notions from manufacturing analysis, we start with the concept of effective process times (EPTs) which can be used for modeling a manufacturing system as a large queuing network. Next, we restrict ourselves to mass production, which enables us to model manufacturing systems by means of a linear system subject to nonlinear constraints (clearing functions). These models serve as a starting point for designing controllers for these manufacturing systems using Model-based Predictive Control (MPC). Finally, the resulting controllers can be implemented on the queuing network model, and ultimately at the real manufacturing system.
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Acknowledgements
Erjen Lefeber is supported by the Netherlands Organization for Scientific Research (NWO-VIDI grant 639.072.072).
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Lefeber, E. (2012). Modeling and Control of Manufacturing Systems. In: Armbruster, D., Kempf, K. (eds) Decision Policies for Production Networks. Springer, London. https://doi.org/10.1007/978-0-85729-644-3_2
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DOI: https://doi.org/10.1007/978-0-85729-644-3_2
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