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The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

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  • Ting Zheng
  • Marco Ardolino
  • Andrea Bacchetti
  • Marco Perona

Abstract

Industry 4.0 (I4.0) encompasses a plethora of digital technologies effecting on manufacturing enterprises. Most research on this topic examines the effects in the smart factory domain, focusing on production scheduling. However, there is still a lack of comprehensive research on the applications of I4.0 enabling technologies in manufacturing life-cycle processes. This paper is thus intended to provide a systematic literature review answering the following research question: What are the applications of I4.0 enabling technologies in the business processes of manufacturing companies? The study analyses 186 articles and the results show that production scheduling and control is the process most often investigated, while there is also an increasing trend in servitization and circular supply chain management. Moreover, there is extensive combined use of IoT, Big Data Analytics and Cloud, whose applications cover a wide range of processes. On the contrary, other technology like Blockchain is not as widely discussed in the domain of I4.0. This picture calls for a future research agenda extending the scope of investigation into I4.0 in manufacturing. Furthermore, the results of this research can prove extremely useful for practitioners who wish to implement one or more technologies, providing them with solutions for applications in manufacturing.

Suggested Citation

  • Ting Zheng & Marco Ardolino & Andrea Bacchetti & Marco Perona, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1922-1954, March.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:6:p:1922-1954
    DOI: 10.1080/00207543.2020.1824085
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    Cited by:

    1. Marco Vacchi & Cristina Siligardi & Erika Iveth Cedillo-González & Anna Maria Ferrari & Davide Settembre-Blundo, 2021. "Industry 4.0 and Smart Data as Enablers of the Circular Economy in Manufacturing: Product Re-Engineering with Circular Eco-Design," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    2. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Yang, Li & Zou, Haobo & Shang, Chao & Ye, Xiaoming & Rani, Pratibha, 2023. "Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    4. Krzysztof Wójcicki & Marta Biegańska & Beata Paliwoda & Justyna Górna, 2022. "Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review," Energies, MDPI, vol. 15(5), pages 1-24, February.
    5. Biman Darshana Hettiarachchi & Stefan Seuring & Marcus Brandenburg, 2022. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis," Operations Management Research, Springer, vol. 15(3), pages 858-878, December.
    6. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    7. Somohano-Rodríguez, Francisco M. & Madrid-Guijarro, Antonia, 2022. "Do industry 4.0 technologies improve Cantabrian manufacturing smes performance? The role played by industry competition," Technology in Society, Elsevier, vol. 70(C).
    8. Juhás Martin & Juhásová Bohuslava & Nemlaha Eduard & Charvát Dominik, 2021. "Increasing the Efficiency of a Robotic Cell Using Simulation," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 29(49), pages 24-35, September.
    9. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    10. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    11. Grybauskas, Andrius & Stefanini, Alessandro & Ghobakhloo, Morteza, 2022. "Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0," Technology in Society, Elsevier, vol. 70(C).
    12. Pfaff, Yuko Melanie & Birkel, Hendrik & Hartmann, Evi, 2023. "Supply chain governance in the context of industry 4.0: Investigating implications of real-life implementations from a multi-tier perspective," International Journal of Production Economics, Elsevier, vol. 260(C).
    13. Qi, Quansong & Xu, Zhiyong & Rani, Pratibha, 2023. "Big data analytics challenges to implementing the intelligent Industrial Internet of Things (IIoT) systems in sustainable manufacturing operations," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    14. Anlan Chen & Yong Lin & Marcello Mariani & Yongyi Shou & Yufeng Zhang, 2023. "Entrepreneurial growth in digital business ecosystems: an integrated framework blending the knowledge-based view of the firm and business ecosystems," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1628-1653, October.
    15. Simon P. Philbin, 2021. "Driving Sustainability through Engineering Management and Systems Engineering," Sustainability, MDPI, vol. 13(12), pages 1-7, June.
    16. Gastaldi, Luca & Lessanibahri, Sina & Tedaldi, Gianluca & Miragliotta, Giovanni, 2022. "Companies’ adoption of Smart Technologies to achieve structural ambidexterity: an analysis with SEM," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    17. Battaglia, Daniele & Galati, Francesco & Molinaro, Margherita & Pessot, Elena, 2023. "Full, hybrid and platform complementarity: Exploring the industry 4.0 technology-performance link," International Journal of Production Economics, Elsevier, vol. 263(C).
    18. Benjamin James Ralph & Marcel Sorger & Karin Hartl & Andreas Schwarz-Gsaxner & Florian Messner & Martin Stockinger, 2022. "Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning," Journal of Intelligent Manufacturing, Springer, vol. 33(2), pages 493-518, February.
    19. Liu, Yanping & Farooque, Muhammad & Lee, Chang-Hun & Gong, Yu & Zhang, Abraham, 2023. "Antecedents of circular manufacturing and its effect on environmental and financial performance: A practice-based view," International Journal of Production Economics, Elsevier, vol. 260(C).
    20. Beata Mrugalska & Junaid Ahmed, 2021. "Organizational Agility in Industry 4.0: A Systematic Literature Review," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
    21. Mitsuhiro Fukuzawa & Ryosuke Sugie & Youngwon Park & Jin Shi, 2022. "An Exploratory Case Study on the Metrics and Performance of IoT Investment in Japanese Manufacturing Firms," Sustainability, MDPI, vol. 14(5), pages 1-21, February.
    22. Jose E. Naranjo & Gustavo Caiza & Rommel Velastegui & Maritza Castro & Andrea Alarcon-Ortiz & Marcelo V. Garcia, 2022. "A Scoping Review of Pipeline Maintenance Methodologies Based on Industry 4.0," Sustainability, MDPI, vol. 14(24), pages 1-22, December.

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