Abstract
The recently experienced hype concerning the so-called “4th Industrial Revolution” of production systems has prompted several papers of various subtopics regarding Cyber-Physical Production Systems (CPPS). However, important aspects such as the modeling of CPPS to understand the theory regarding the performance of highly non-ergodic and non-deterministic flexible manufacturing systems in terms of exit rate (ER), manufacturing lead time (MLT), and on-time delivery (OTD) have not yet been examined systematically and even less modeled analytically.
This chapter mainly bases on the paper: Exploiting Virtual Elasticity of Production Systems to Respect OTD—Part 3: Basic Considerations for Modeling CPPS Characterized by Non-ergodic Order Entry and Non-deterministic Product-mix for Fully Flexible Addressable Workstations, AJOR, 2022, 12, 19–63.
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References
Rüttimann, Stöckli. 2020. From batch & queue to industry 4.0-type manufacturing systems: A taxonomy of alternative production models. JSSM 13: 299–316.
Rüttimann. 2017. Lean Compendium—Introduction to Modern Manufacturing Theory, Springer.
Rüttimann, Stöckli. 2021. Considerations on present production science theory and didactics: The evident lack of a rational manufacturing theory. JSSM 14: 482–501.
Rüttimann, Stöckli. 2020. Exploiting virtual elasticity of production systems to respecting OTD—Part1: Post-optimality conditions for ergodic order arrivals in fixed capacity regimes. AJOR 10: 321–342.
Rüttimann, Stöckli. 2021. Exploiting virtual elasticity of manufacturing systems to respect OTD—Part2: Post-optimality conditions for the cases of ergodic and non-ergodic order rate with deterministic product-mix. AJOR 11: 141–165.
Kagermann et al. 2013. Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0—Abschlussbericht des Arbeitskreises Industrie 4.0, April 2013, internet www.acatech.de
Bundesministerium für Bildung und Forschung, Zukunftsbild Industrie 4.0, internet www.plattform-i40.de
Jones, Snider, Nassehi, Yon, Hicks. 2019. Characterising the digital twin: A systematic literature review. CIRPJ 544.
Ding, Chan, Zhang, Zhou, Zhang. 2019. Defining a digital twin-based cyber-physical production system for autonomous manufacturing in smart shop floors. International Journal of Production Research.
Park, Lee, Kim, Noh. 2019. Digital twin-based cyber physical production system architectural framework for personalized production. International Journal of Advanced Manufacturing Technology.
Asadollahi-Yazdi, E., P. Couzon, N. Nguyen, Y. Ouazene, and F. Yalaoui. 2020. Industry 4.0: Revolution or evolution? American Journal of Operations Research 10: 241–268.
Schwede, C., L. Gehrke. 2015. SMART FACE—Industry 4.0 in car manufacturing. Towards a new paradigm for production and logistics, Fraunhofer IML/Volkswagen Group, presentation Munich December 1st, www.iml.fraunhofer.de
Rüttimann, Stöckli. 2016. Lean and industry 4.0—Twins, partners, or contenders? A Due Clarification Regarding the Supposed Clash of Two Production Systems, JSSM 9: 485–500.
Rüttimann. 2015. Discourse about linear programming and lean manufacturing: Two different approaches with a similar converging rational. JSSM 8: 85–91.
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Rüttimann, B.G., Stöckli, M.T. (2022). Flexibility and the One-Off Product Challenge of CPPS. In: Elements of Advanced Manufacturing Theory. Springer, Cham. https://doi.org/10.1007/978-3-031-02047-6_6
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DOI: https://doi.org/10.1007/978-3-031-02047-6_6
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