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Real-Time IoT-Based Production Planning and Control of Industrial Robots in an Automated Cyber-Physical Production System Under Dynamic Conditions: Lessons Learned from a Make-to-Order Usage Case

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Abstract

Industry 4.0, IoT, and cyber-physical production systems (CPPSs) are regarded as a key factor for manufacturing companies to become more efficient, flexible, and responsive to market changes. However, all but real-time bidirectional communication between shop floor cyber-physical systems (CPSs) and IoT-based production planning and control (PPC) in a cloud environment become especially challenging regarding the de facto state of technology, as we indicate. Many CPS/CPPS projects fail in industrial practice. We describe the design and implementation of a highly automated CPPS in a real-time make-to-order usage case for the production of prescription lenses based on an environment that requires real-time communication if it is to work. We use the project experiences to explain the lessons learned and derive a holistic approach to IoT-PPC CPS and CPPS design and implementation.

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Correspondence to Luciano Baumgart .

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Berlak, J., Berg, J., Stangl, M., Baumgart, L. (2020). Real-Time IoT-Based Production Planning and Control of Industrial Robots in an Automated Cyber-Physical Production System Under Dynamic Conditions: Lessons Learned from a Make-to-Order Usage Case. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_59

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  • DOI: https://doi.org/10.1007/978-3-030-45096-0_59

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-45096-0

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