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Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review

Author

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  • Mihai Andronie

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

  • George Lăzăroiu

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

  • Mariana Iatagan

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

  • Iulian Hurloiu

    (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

In this article, we cumulate previous research findings indicating that cyber-physical production systems bring about operations shaping social sustainability performance technologically. We contribute to the literature on sustainable cyber-physical production systems by showing that the technological and operations management features of cyber-physical systems constitute the components of data-driven sustainable smart manufacturing. Throughout September 2020, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “sustainable industrial value creation”, “cyber-physical production systems”, “sustainable smart manufacturing”, “smart economy”, “industrial big data analytics”, “sustainable Internet of Things”, and “sustainable Industry 4.0”. As we inspected research published only in 2019 and 2020, only 323 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 119, generally empirical, sources. Future research should investigate whether Industry 4.0-based manufacturing technologies can ensure the sustainability of big data-driven production systems by use of Internet of Things sensing networks and deep learning-assisted smart process planning.

Suggested Citation

  • Mihai Andronie & George Lăzăroiu & Mariana Iatagan & Iulian Hurloiu & Irina Dijmărescu, 2021. "Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:751-:d:480148
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    References listed on IDEAS

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    1. Tomas Kliestik & Katarina Valaskova & Elvira Nica & Maria Kovacova & George Lazaroiu, 2020. "Advanced methods of earnings management: monotonic trends and change-points under spotlight in the Visegrad countries," Oeconomia Copernicana, Institute of Economic Research, vol. 11(2), pages 371-400, June.
    2. Maria Kovacova & Tomas Kliestik & Katarina Valaskova & Pavol Durana & Zuzana Juhaszova, 2019. "Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries," Oeconomia Copernicana, Institute of Economic Research, vol. 10(4), pages 743-772, December.
    3. Leng, Jiewu & Ruan, Guolei & Jiang, Pingyu & Xu, Kailin & Liu, Qiang & Zhou, Xueliang & Liu, Chao, 2020. "Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    4. Shivam Gupta & Régis Meissonier & Vinayak Drave & David Roubaud, 2020. "Examining the impact of Cloud ERP on sustainable performance: A dynamic capability view," Post-Print hal-02914021, HAL.
    5. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    6. Katarzyna Grondys & Armenia Androniceanu & Zdzisława Dacko-Pikiewicz, 2020. "Energy Management in the Operation of Enterprises in the Light of the Applicable Provisions of the Energy Efficiency Directive (2012/27/EU)," Energies, MDPI, vol. 13(17), pages 1-16, August.
    7. Armenia ANDRONICEANU, 2020. "Major Structural Changes In The Eu Policies Due To The Problems And Risks Caused By Covid-19," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(34), pages 137-149, June.
    8. Ane-Mari Androniceanu & Irina Georgescu & Manuela Tvaronavičienė & Armenia Androniceanu, 2020. "Canonical Correlation Analysis and a New Composite Index on Digitalization and Labor Force in the Context of the Industrial Revolution 4.0," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    9. Cătălina Silvia Crișan-Mitra & Liana Stanca & Dan-Cristian Dabija, 2020. "Corporate Social Performance: An Assessment Model on an Emerging Market," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    10. Dan-Cristian Dabija & Raluca Băbuț, 2019. "Enhancing Apparel Store Patronage through Retailers’ Attributes and Sustainability. A Generational Approach," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
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    Cited by:

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    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.
    3. Androniceanu Armenia & Georgescu Irina, 2021. "E-Government in European Countries, a Comparative Approach Using the Principal Components Analysis," NISPAcee Journal of Public Administration and Policy, Sciendo, vol. 14(2), pages 65-86, December.
    4. Xun Zeng & Yuanchun Yu & San Yang & Yang Lv & Md Nazirul Islam Sarker, 2022. "Urban Resilience for Urban Sustainability: Concepts, Dimensions, and Perspectives," Sustainability, MDPI, vol. 14(5), pages 1-27, February.
    5. Jin, Keyan & Zhong, Ziqi & Zhao, Elena Yifei, 2024. "Sustainable digital marketing under big data: an AI random forest model approach," LSE Research Online Documents on Economics 121402, London School of Economics and Political Science, LSE Library.
    6. Cristina Bianca Pocol & Liana Stanca & Dan-Cristian Dabija & Veronica Câmpian & Sergiu Mișcoiu & Ioana Delia Pop, 2023. "A QCA Analysis of Knowledge Co-Creation Based on University–Industry Relationships," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
    7. Elvira Nica & Gheorghe H. Popescu & Milos Poliak & Tomas Kliestik & Oana-Matilda Sabie, 2023. "Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks," Mathematics, MDPI, vol. 11(9), pages 1-25, April.
    8. 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.

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