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Adaptive Cognitive Manufacturing System (ACMS) – a new paradigm

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  • Hoda ElMaraghy
  • Waguih ElMaraghy

Abstract

Innovation and transformative changes in products, manufacturing technologies, business strategies, and manufacturing paradigms have profoundly changed the manufacturing systems. In addition to being environmentally, economically socially sustainable, manufacturing systems are increasingly using intelligent technologies to be even more resilient, responsive, and adaptable. A new Adaptive Cognitive Manufacturing Systems (ACMS) paradigm, its drivers, enablers, and characteristics, including cognitive adaptation, is presented. Classification and definitions of four types of adaptability in manufacturing systems are included. Human-centric collaboration of workers and intelligent machines and applications, and the future of work in cognitive adaptive manufacturing systems are outlined. Cognitive Digital Twins (CDT), their features, evolution, and their use to support humans in intelligent, collaborative manufacturing settings are discussed. Industrial applications and case studies are used to illustrate the presented concepts and paradigms. Challenges and future research directions to achieve the ACMS paradigm and implement more intelligent, more adaptive, and sustainable manufacturing systems are presented. The presented novel concepts and technologies make significant contributions to the fast-evolving field of manufacturing systems. This pioneering research sheds light on many important future research topics and provides a road map and motivation for researchers in this field.

Suggested Citation

  • Hoda ElMaraghy & Waguih ElMaraghy, 2022. "Adaptive Cognitive Manufacturing System (ACMS) – a new paradigm," International Journal of Production Research, Taylor & Francis Journals, vol. 60(24), pages 7436-7449, December.
    • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:24:p:7436-7449
    DOI: 10.1080/00207543.2022.2078248
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    Cited by:

    1. Grego, Marica & Magnani, Giovanna & Denicolai, Stefano, 2024. "Transform to adapt or resilient by design? How organizations can foster resilience through business model transformation," Journal of Business Research, Elsevier, vol. 171(C).
    2. George Lãzãroiu & Armenia Androniceanu & Iulia Grecu & Gheorghe Grecu & Octav Neguri?ã, 2022. "Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1047-1080, December.

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