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Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

Author

Listed:
  • Mihai Andronie

    (Department of Economic Sciences, Spiru Haret University, 030045 Bucharest, Romania)

  • George Lăzăroiu

    (Department of Economic Sciences, Spiru Haret University, 030045 Bucharest, Romania)

  • Roxana Ștefănescu

    (Department of Juridical Sciences and Economic Sciences, Spiru Haret University, 500152 Brașov, Romania)

  • Cristian Uță

    (Department of Economic Sciences, Spiru Haret University, 030045 Bucharest, Romania)

  • Irina Dijmărescu

    (Department of Pediatrics, Grigore Alexandrescu Children’s Emergency Hospital, 011743 Bucharest, Romania)

Abstract

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

Suggested Citation

  • Mihai Andronie & George Lăzăroiu & Roxana Ștefănescu & Cristian Uță & Irina Dijmărescu, 2021. "Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5495-:d:554538
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    References listed on IDEAS

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    1. 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.
    2. Taheri, Babak & Yousaf, Anish & Gannon, Martin & Mishra, Abhishek, 2024. "e-commerce website customer engagement: Delineating the role of UTAUT, vividness, and compulsion," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

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