Adaptive Cognitive Manufacturing System (ACMS) – a new paradigm

References

• Abdul Hadi, M., M. Brillinger, F. Haas, and M. Weinzerl. 2020. “Roadmap to an Adaptive Assembly Line for e-Axles.” Wireless Networks online. doi:10.1007/s11276-020-02356-6.
   Google Scholar
• Abele, E., G. Chryssolouris, W. Sihn, J. Metternich, H. ElMaraghy, G. Seliger, G. Sivard, et al. 2017. “Learning Factories for Future Oriented Research and Education in Manufacturing.” CIRP Annals – Manufacturing Technology 66 (2): 803–826. ISSN 0007-8506. doi:10.1016/j.cirp.2017.05.005.
   Web of Science ®Google Scholar
• Acatech. 2011. Cyber-Physical Systems: Driving Force for Innovation in Mobility, Health, Energy and Production. ISBN: 978-3-642-29089-3. doi: 10.1007/978-3-642-29090-9.
   Google Scholar
• Aguila, J. O., W. ElMaraghy, and H. ElMaraghy. 2021. “Human Capital Transformation for Successful Smart Manufacturing.” Proceedings of CARV2021 (8th Changeable, Agile, Reconfigurable and Virtual Production Conference) – Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. In Press.
   Google Scholar
• AlGeddawy, T., and H. ElMaraghy. 2010. “Co-Evolution Hypotheses and Model for Manufacturing Planning.” CIRP Annals – Manufacturing Technology 59 (1): 445–448.
   Web of Science ®Google Scholar
• AV&R. 2021. “What is Adaptive Manufacturing Exactly?” Automation, Vision & Robotics (AV&R), Canada. Accessed 24 May 2021. https://avr-global.com/technical-articles/what-is-adaptive-manufacturing-exactly/.
   Google Scholar
• Bonnaud, Serge, and Christophe Didier. 2018. Industrie 4.0 & Cognitive Manufacturing Architecture Patterns, Use Cases & IBM Solution. Armonk: IBM.
   Google Scholar
• Breque, M., L. De Nul, and A. Petridis. 2021. “Industry 5.0 Towards a Sustainable, Human-Centric and Resilient European Industry R&I, Publications Office of the European Union.” ISBN 978-92-76-25308-2.
   Google Scholar
• Byrne, G., D. Dimitrov, L. Monostori, R. Teti, F. van Houting, and R. Wertheim. 2018. “Biologicalisation: Biological Transformation in Manufacturing.” CIRP Journal of Manufacturing Science and Technology 21: 1–32.
   Web of Science ®Google Scholar
• Christensen, C. M. 2013. The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press. ISBN: 1422197581.
   Google Scholar
• D’Addona, D. M., F. Bracco, A. Bettoni, N. Nishino, E. Carpanzano, and A. A. Bruzzone. 2018. “Adaptive Automation and Human Factors in Manufacturing: An Experimental Assessment for a Cognitive Approach.” CIRP Annals – Manufacturing Technology 67 (1): 455–458.
   Web of Science ®Google Scholar
• Ding, K., Felix T.S. Chan, Xudong Zhang, Guanghui Zhou, and Fuqiang Zhang. 2019. “Defining a Digital Twin-Based Cyber-Physical Production System for Autonomous Manufacturing in Smart Shop Floors.” International Journal of Production Research 57 (20): 6315–6334. doi:10.1080/00207543.2019.1566661.
   Web of Science ®Google Scholar
• ElMaraghy, H. 2005. “Flexible and Reconfigurable Manufacturing Systems Paradigms.” International Journal of Flexible Manufacturing Systems 17 (4): 261–276.
   Google Scholar
• ElMaraghy, W., H. ElMaraghy, T. Tomiyama, and L. Monostori. 2012. “Complexity in Engineering Design and Manufacturing.” CIRP Annals – Manufacturing Technology 61 (2): 793–814.
   Web of Science ®Google Scholar
• ElMaraghy, H., L. Monostori, G. Schuh, and W. ElMaraghy. 2021. “Evolution and Future of Manufacturing Systems.” CIRP Annals – Manufacturing Technology 70 (2): 635–658. ISSN 0007-8506. doi:10.1016/j.cirp.2021.05.008.
   Web of Science ®Google Scholar
• Everett, H. 2021. “GE to Advance Competitiveness of Wind Energy With 3d Printed Turbine Blades.” https://3dprintingindustry.com/news/ge-to-advance-competitiveness-of-wind-energy-with-3d-printed-turbine-blades-183959/.
   Google Scholar
• G20FWG. 2021. G20 Framework Working Group – G20 Menu of Policy Options for the Future of Work. Accessed April 14, 2021. https://www.oecd.org/g20/g20_menu_of_policy_options_for_the_future_of_work_fwgexecutive-summary.pdf.
   Google Scholar
• Gao, R. X., L. Wang, M. Helu, and R. Teti. 2020. “Big Data Analytics for Smart Factories of the Future.” CIRP Annals – Manufacturing Technology 69/2: 668–692.
   Web of Science ®Google Scholar
• GE. 2017. “Digital Minds, and Machines – Meet a Digital Twin.” Accessed on 7 August 2020. https://adesignconsult.com/projects-technology/having-digital-twins/.
   Google Scholar
• Gershwin, S. 2018. “The Future of Manufacturing Systems Engineering.” International Journal of Production Research 56 (1–2): 224–237. doi:10.1080/00207543.2017.1395491.
   Web of Science ®Google Scholar
• Hollnagel, E., and D. D. Woods. 2005. Joint Cognitive Systems: Foundations of Cognitive Systems Engineering. Boca Raton: CRC Press. ISBN: 1420038192.
   Google Scholar
• Isaacson, W. 2021. The Code Breaker – Jennifer Doudna, Gene Editing, and the Future of the Human Race. Toronto: Simon & Schuster. ISBN-10: 1982115858, ISBN-13: 78-1982115852.
   Google Scholar
• Ivanov, D., C. Tang, A. Dolgui, D. Battini, and A. Das. 2021. “Researchers’ Perspectives on Industry 4.0: Multi-Disciplinary Analysis and Opportunities for Operations Management.” International Journal of Production Research 59 (7), doi:10.1080/00207543.2020.1798035.
   Web of Science ®Google Scholar
• Jiao, J., Feng Zhou, Nagi Z. Gebraeel, and Vincent Duffy. 2020. “Towards Augmenting Cyber-Physical-Human Collaborative Cognition for Human-Automation Interaction in Complex Manufacturing and Operational Environments.” International Journal of Production Research 58 (16): 5089–5111. doi:10.1080/00207543.2020.1722324.
   Web of Science ®Google Scholar
• Koren, Y., U. Heisel, F. Jovane, T. Moriwaki, G. Pritschow, G. Ulsoy, and H. van Brussel. 1999. “Reconfigurable Manufacturing Systems.” CIRP Annals – Manufacturing Technology 48/2: 527–540.
   Google Scholar
• Kuhn, T. S. 2013. “The Structure of Scientific Revolutions. 50th Anniversary.” Argument: Biannual Philosophical Journal 3 (2): 539–543.
   Google Scholar
• Kusiak, A. 2018. “Smart Manufacturing.” International Journal of Production Research 56 (1-2): 508–517.
   Web of Science ®Google Scholar
• Laperriere, L., and G. Reinhart. 2014. CIRP Encyclopedia of Production Engineering. Berlin: Springer. ISBN: 3642206174.
   Google Scholar
• Mittal, S., M. A. Khan, D. Romero, and T. Wuest. 2019. “Smart Manufacturing: Characteristics, Technologies and Enabling Factors.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233 (5): 1342–1361. doi:10.1177/0954405417736547.
   Web of Science ®Google Scholar
• Möhring, H. C., P. Wiederkehr, K. Erkorkmaz, and Y. Kakinuma. 2020. “Self-Optimizing Machining Systems.” CIRP Annals – Manufacturing Technology 69 (2): 740–763.
   Web of Science ®Google Scholar
• Monostori, L., B. Kádár, T. Bauernhansl, S. Kondoh, S. Kumara, G. Reinhart, O. Sauer, G. Schuh, W. Sihn, and K. Ueda. 2016. “Cyber-Physical Systems in Manufacturing.” CIRP Annals - Manufacturing Technology 65/2: 621–641.
   Web of Science ®Google Scholar
• NIST (National Institute of Standard and Technology). 2014. Smart Manufacturing Operations Planning and Control. Accessed on 17 March 2021. https://www.nist.gov/system/files/documents/2017/05/09/FY2014_SMOPAC_ProgramPlan.pdf.
   Google Scholar
• Piller, Frank T. 2020. “Ten Propositions on the Future of Digital Business Models for Industry 4.0 in the Post-Corona Economy”. SSRN 3617816: https://ssrn.com/abstract=3617816 or doi:10.2139/ssrn.3617816.
   Google Scholar
• Sahoo, S. 2021. “Big Data Analytics in Manufacturing: A Bibliometric Analysis of Research in the Field of Business Management.” International Journal of Production Research. doi:10.1080/00207543.2021.1919333.
   PubMed Web of Science ®Google Scholar
• Schwab, K. 2018. The Global Competitiveness Report 2017–2018. World Economic Forum.
   Google Scholar
• Siafara, L. C., H. Kholerdi, A. Bratukhin, N. Taherinejad, and A. Jantsch. 2018. “SAMBA – An Architecture for Adaptive Cognitive Control of Distributed Cyber-Physical Production Systems Based on its Self-Awareness.” Elektrotechnik & Informationstechnik 135/3: 270–277. doi:10.1007/s00502-018-0614-7.
   Web of Science ®Google Scholar
• Singapore Economic Development Board. 2019. The Singapore Smart Industry Readiness Index – Catalysing the Transformation of Manufacturing. https://speta.org/wp-content/uploads/2019/08/SIRI-White-Paper.pdf.
   Google Scholar
• Snyder, S., D. Meek, T. Lehtonen, and P. Kiradjiev. 2020. Smart Manufacturing – AI technologies, intelligent insights. Expert Insights, IBM Institute for Business Value. 07032207USEN-00.
   Google Scholar
• Tao, F., Q. Qi, A. Liu, and A. Kusiak. 2018. “Data-Driven Smart Manufacturing.” Journal of Manufacturing Systems 48: 157–169.
   Web of Science ®Google Scholar
• Tolio, T., D. Ceglarek, H. A. ElMaraghy, A. Fischer, S. J. Hu, L. Laperrière, S. T. Newman, and J. Váncza. 2010. “Species-Co-Evolution of Products, Processes and Production Systems.” CIRP Annals – Manufacturing Technology 59 (2): 672–693.
   Web of Science ®Google Scholar
• Tomiyama, T., E. Lutter, R. Stark, and M. Abramovici. 2019. “Development Capabilities for Smart Products.” CIRP Annals – Manufacturing Technology 68 (2): 727–750.
   Web of Science ®Google Scholar
• Ueda, K. 1992. “A Concept for Bionic Manufacturing Systems Based on DNA-Type Information.” In Human Aspects in Computer Integrated Manufacturing, edited by G. J. Olling, and F. Kimura, 853–863. Amsterdam: Elsevier. 853-863 ISBN: 978-0-444-89465-6. doi: 10.1016/B978-0-444-89465-6.50078-8.
   Google Scholar
• Ueda, K., J. Vaario, and N. Fujii. 1998. “Interactive Manufacturing: Human Aspects for Biological Manufacturing Systems.” CIRP Annals – Manufacturing Technology 47/1: 389–392.
   Google Scholar
• Wang, Lihui. 2019. “From Intelligence Science to Intelligent Manufacturing.” Engineering 5: 615–618. doi:10.1016/j.eng.2019.04.011.
   Web of Science ®Google Scholar
• Wang, L., R. Gao, J. Váncza, J. Krüger, X. V. Wang, S. Makris, and G. Chryssolouris. 2019. “Symbiotic Human-Robot Collaborative Assembly.” CIRP Annals – Manufacturing Technology 68/2: 701–726.
   Web of Science ®Google Scholar
• Wang, Lihui, Martin Törngren, and Mauro Onori. 2015. “Current Status and Advancement of Cyber-Physical Systems in Manufacturing.” Journal of Manufacturing Systems 37 (2): 517–527. doi:10.1016/j.jmsy.2015.04.008.
   Web of Science ®Google Scholar
• WMF. 2019. Skills for the Future of Manufacturing – The 2019 World Manufacturing Forum Report. ISBN: 978-88-94386-14-1.
   Google Scholar
• Xu, L. D., E. Xub, and L. Lia. 2018. “Industry 4.0: State of the Art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962. doi:10.1080/00207543.2018.1444806.
   Web of Science ®Google Scholar
• Yin, Y., K. E. Stecke, and D. Li. 2018. “The Evolution of Production Systems from Industry 2.0 Through Industry 4.0.” International Journal of Production Research 56 (1-2): 848–861.
   Web of Science ®Google Scholar
• Zaeh, M. F., M. Beetz, K. Shea, G. Reinhart, K. Bender, C. Lau, M. Ostgathe, et al. 2009. “The Cognitive Factory.” In Changeable and Reconfigurable Manufacturing Systems. Springer Series in Advanced Manufacturing, edited by H. ElMaraghy. London: Springer. doi:10.1007/978-1-84882-067-8_20
   Google Scholar
• Zheng, T., Marco Ardolino, Andrea Bacchetti, and Marco Perona. 2021. “The Applications of Industry 4.0 Technologies in Manufacturing Context: A Systematic Literature Review.” International Journal of Production Research 59 (6): 1922–1954. doi:10.1080/00207543.2020.1824085.
   Web of Science ®Google Scholar
• Zhou, G., Guanghui Zhou, Chao Zhang, Zhi Li, Kai Ding, and Chuang Wang. 2020. “Knowledge-Driven Digital Twin Manufacturing Cell Towards Intelligent Manufacturing.” International Journal of Production Research 58 (4): 1034–1051. doi:10.1080/00207543.2019.1607978.
   Web of Science ®Google Scholar