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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

 
: Berlak, J.; Berg, J.; Stangl, M.; Baumgart, L.

:

Moreno-Díaz, R.:
Computer Aided Systems Theory - EUROCAST 2019. Pt.II : 17th International Conference, Las Palmas de Gran Canaria, Spain, February 17-22, 2019, Revised Selected Papers
Cham: Springer Nature, 2020 (Lecture Notes in Computer Science 12014)
ISBN: 978-3-030-45095-3
ISBN: 978-3-030-45096-0
ISBN: 978-3-030-45097-7
S.485-492
International Conference on Computer Aided Systems Theory (EUROCAST) <17, 2019, Las Palmas de Gran Canaria>
Englisch
Konferenzbeitrag
Fraunhofer IGCV ()

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.

: http://publica.fraunhofer.de/dokumente/N-596162.html