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

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 technologic...

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Bibliographic Details
Published in:Sustainability 2021-01, Vol.13 (2), p.751
Main Authors: Andronie, Mihai, Lăzăroiu, George, Iatagan, Mariana, Hurloiu, Iulian, Dijmărescu, Irina
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Big Data
Blockchain
Carbon
Cyber-physical systems
Data analysis
Decision making
Deep learning
Industrial applications
Internet of Things
Literature reviews
Logistics
Manufacturing
Operations management
Process planning
Product design
Supply chains
Sustainability
Sustainable development
Sustainable production
Systematic review
Value chain
Value creation
Wireless networks
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su13020751