Exploiting Virtual Elasticity of Production Systems to Respect OTD—Part 3: Basic Considerations for Modelling CPPS Characterized by Non-Ergodic Order Entry and Non-Deterministic Product-Mix for Fully Flexible Addressable Workstations
The recently experienced hype concerning the so-called “4th Industrial Revolution” of production systems
has prompted several papers of various subtopics regarding Cyber-Phdysical
Production Systems (CPPS). However, important aspects such as the modelling of CPPS to understand the theory regardingthe 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. To
develop the topic, in this paper, the prerequisites for modelling such systems are defined in order to be able to derive an explicit and dedicated production mathematics-based under
References
[1]
Rüttimann, B. and Stöckli, M. (2020) From Batch & Queue to Industry 4.0-Type Manufacturing Systems: A Taxonomy of Alternative Production Models. Journal of Service Science and Management, 13, 299-316. https://doi.org/10.4236/jssm.2020.132019
[2]
Rüttimann, B.G. (2017) Lean Compendium—Introduction to Modern Manufacturing Theory. Springer, Berlin. https://doi.org/10.1007/978-3-319-58601-4
[3]
Rüttimann, B. and Stöckli, M. (2021) Considerations on Present Production Science Theory and Didactics: The Evident Lack of a Rational Manufacturing Theory. Journal of Service Science and Management, 14, 482-501. https://doi.org/10.4236/jssm.2021.145031
[4]
Rüttimann, B.G. and Stöckli, M.T. (2020) Exploiting Virtual Elasticity of Production Systems to Respecting OTD—Part1: Post-Optimality Conditions for Ergodic Order Arrivals in Fixed Capacity Regimes. American Journal of Operations Research, 10, 321-342. https://doi.org/10.4236/ajor.2020.106018
[5]
Rüttimann, B. and Stöckli, M. (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. American Journal of Operations Research, 11, 141-165. https://doi.org/10.4236/ajor.2021.113009
[6]
Kagermann, H. et al. (2013) Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0—Abschlussbericht des Arbeitskreises Industrie 4.0. https://acatech.de
[7]
Bundesministerium für Bildung und Forschung (n.d.) Zukunftsbild Industrie 4.0. https://www.plattform-i40.de
[8]
Jones, D., Snider, C., Nassehi, A., Yon, J. and Hicks, B. (2019) Characterising the Digital Twin: A Systematic Literature Review. CIRP Journal of Manufacturing Science and Technology, 29, 36-52. https://doi.org/10.1016/j.cirpj.2020.02.002
[9]
Ding, K., Chan, F.T.S., Zhang, X.D., Zhou, G.H. and Zhang, F.Q. (2019) Defining a Digital Twin-Based Cyber-Physical Production System for Autonomous Manufacturing in Smart Shop Floors. International Journal of Production Research, 57, 6315-6334. https://doi.org/10.1080/00207543.2019.1566661
[10]
Park, K.T., Lee, J., Kim, H.-J. and Noh, S.D. (2019) Digital Twin-Based Cyber Physical Production System Architectural Framework for Personalized Production. The International Journal of Advanced Manufacturing Technology, 106, 1787-1810. https://doi.org/10.1007/s00170-019-04653-7
[11]
Asadollahi-Yazdi, E., Couzon, P., Nguyen, N., Ouazene, Y. and Yalaoui, F. (2020) Industry 4.0: Revolution or Evolution? American Journal of Operations Research, 10, 241-268. https://doi.org/10.4236/ajor.2020.106014
[12]
Schwede, C. and Gehrke, L. (2015) Smart Face—Industry 4.0 in Car Manufacturing. Towards a New Paradigm for Production and Logistics. Fraunhofer IML/Volkswagen Group, Munich. https://www.iml.fraunhofer.de
[13]
Rüttimann, B. and Stöckli, M. (2016) Lean and Industry 4.0—Twins, Partners, or Contenders? A Due Clarification Regarding the Supposed Clash of Two Production Systems. Journal of Service Science and Management, 9, 485-500. https://doi.org/10.4236/jssm.2016.96051
[14]
Rüttimann, B.G. (2015) Discourse about Linear Programming and Lean Manufacturing: Two Different Approaches with a Similar Converging Rational. Journal of Service Science and Management, 8, 85-91. https://doi.org/10.4236/jssm.2015.81010