IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i7p4327-d787611.html
   My bibliography  Save this article

The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review

Author

Listed:
  • Tan Ching Ng

    (Department of Mechanical and Material Engineering, Universiti Tunku Abdul Rahman, Kajang 43000, Malaysia)

  • Sie Yee Lau

    (Department of Mechanical and Material Engineering, Universiti Tunku Abdul Rahman, Kajang 43000, Malaysia
    Mechanical Engineering Programme, University of Technology Sarawak, Sibu 96000, Malaysia)

  • Morteza Ghobakhloo

    (School of Economics and Business, Kaunas University of Technology, 44249 Kaunas, Lithuania
    Graduate School of Business, Universiti Sains Malaysia, Gelugor 11800, Malaysia)

  • Masood Fathi

    (School of Engineering Science, University of Skovde, P.O. Box 408, 54128 Skövde, Sweden
    Division of Industrial Engineering and Management, Uppsala University, P.O. Box 534, 75121 Uppsala, Sweden)

  • Meng Suan Liang

    (Department of Mechanical and Material Engineering, Universiti Tunku Abdul Rahman, Kajang 43000, Malaysia)

Abstract

Industry 4.0 has been associated with the rise of disruptive intelligence and information technologies. These cutting-edge technologies have the potential to increase productivity while simultaneously having a significant impact on social and environmental sustainability. As a result, manufacturers must evaluate the role of these innovative technologies in sustainable development, as these technologies have the potential to address prevalent sustainability issues. A content-centric study of the implementation of these Industry 4.0 cutting-edge technologies in sustainable manufacturing is currently absent. A systematic literature study was conducted to explain the potential contribution of these novel technologies to the economic, social, and environmental dimensions of manufacturing industries. This study describes how these cutting-edge technologies are used in sustainable manufacturing. The findings of this study are particularly beneficial to practitioners who seek to apply one or more digital technologies to sustainable development.

Suggested Citation

  • Tan Ching Ng & Sie Yee Lau & Morteza Ghobakhloo & Masood Fathi & Meng Suan Liang, 2022. "The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4327-:d:787611
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/7/4327/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/7/4327/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
    2. Kinoshita, Yuki & Yamada, Tetsuo & Gupta, Surendra M. & Ishigaki, Aya & Inoue, Masato, 2020. "Decision support model of environmentally friendly and economical material strategy for life cycle cost and recyclable weight," International Journal of Production Economics, Elsevier, vol. 224(C).
    3. Benedikt Simmert & Philipp Alexander Ebel & Christoph Peters & Eva Alice Christiane Bittner & Jan Marco Leimeister, 2019. "Conquering the Challenge of Continuous Business Model Improvement," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 451-468, August.
    4. Chan, Hing Kai & Griffin, James & Lim, Jia Jia & Zeng, Fangli & Chiu, Anthony S.F., 2018. "The impact of 3D Printing Technology on the supply chain: Manufacturing and legal perspectives," International Journal of Production Economics, Elsevier, vol. 205(C), pages 156-162.
    5. Ahmad A. A. Khanfar & Mohammad Iranmanesh & Morteza Ghobakhloo & Madugoda Gunaratnege Senali & Masood Fathi, 2021. "Applications of Blockchain Technology in Sustainable Manufacturing and Supply Chain Management: A Systematic Review," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    6. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    7. Delic, Mia & Eyers, Daniel R., 2020. "The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry," International Journal of Production Economics, Elsevier, vol. 228(C).
    8. Kung-Jeng Wang & Diwanda Ageng Rizqi & Hong-Phuc Nguyen, 2021. "Skill transfer support model based on deep learning," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1129-1146, April.
    9. Juan Pablo Usuga Cadavid & Samir Lamouri & Bernard Grabot & Robert Pellerin & Arnaud Fortin, 2020. "Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1531-1558, August.
    10. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    11. Xu, Liming & Mak, Stephen & Brintrup, Alexandra, 2021. "Will bots take over the supply chain? Revisiting agent-based supply chain automation," International Journal of Production Economics, Elsevier, vol. 241(C).
    12. Beltagui, Ahmad & Kunz, Nathan & Gold, Stefan, 2020. "The role of 3D printing and open design on adoption of socially sustainable supply chain innovation," International Journal of Production Economics, Elsevier, vol. 221(C).
    13. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    14. Chavez, Roberto & Yu, Wantao & Jacobs, Mark A. & Feng, Mengying, 2017. "Manufacturing capability and organizational performance: The role of entrepreneurial orientation," International Journal of Production Economics, Elsevier, vol. 184(C), pages 33-46.
    15. Sun, Luoyi & Hua, Guowei & Cheng, T.C.E. & Wang, Yixiao, 2020. "How to price 3D-printed products? Pricing strategy for 3D printing platforms," International Journal of Production Economics, Elsevier, vol. 226(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohd Bilal Naim Shaikh & Mohammed Ali & Umer Masood Chaudry & Muhammad Kashif Khan, 2024. "Metrics for Sustainability and Circular Economy Practices in Context to Modern Manufacturing Environment," Circular Economy and Sustainability, Springer, vol. 4(3), pages 2073-2091, September.
    2. Mladen Krstić & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Snežana Tadić & Violeta Roso, 2022. "Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method," Sustainability, MDPI, vol. 14(9), pages 1-30, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beltagui, Ahmad & Gold, Stefan & Kunz, Nathan & Reiner, Gerald, 2023. "Special Issue: Rethinking operations and supply chain management in light of the 3D printing revolution," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Diri Kenger, Zülal & Koç, Çağrı & Özceylan, Eren, 2021. "Integrated disassembly line balancing and routing problem with mobile additive manufacturing," International Journal of Production Economics, Elsevier, vol. 235(C).
    3. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. Naghshineh, Bardia & Carvalho, Helena, 2022. "The implications of additive manufacturing technology adoption for supply chain resilience: A systematic search and review," International Journal of Production Economics, Elsevier, vol. 247(C).
    5. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    6. Hettiarachchi, Biman Darshana & Brandenburg, Marcus & Seuring, Stefan, 2022. "Connecting additive manufacturing to circular economy implementation strategies: Links, contingencies and causal loops," International Journal of Production Economics, Elsevier, vol. 246(C).
    7. Cifone, Fabiana Dafne & Hoberg, Kai & Holweg, Matthias & Staudacher, Alberto Portioli, 2021. "‘Lean 4.0’: How can digital technologies support lean practices?," International Journal of Production Economics, Elsevier, vol. 241(C).
    8. 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).
    9. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
    10. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    11. Kyu Tae Park & Jinho Yang & Sang Do Noh, 2021. "VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 501-544, February.
    12. Naghshineh, Bardia & Ribeiro, André & Jacinto, Celeste & Carvalho, Helena, 2021. "Social impacts of additive manufacturing: A stakeholder-driven framework," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    13. B. Deepthi & Vikram Bansal, 2024. "Industry 4.0 in Textile and Apparel Industry: A Systematic Literature Review and Bibliometric Analysis of Global Research Trends," Vision, , vol. 28(2), pages 157-170, April.
    14. Shih-Chia Chang & Hsu-Hwa Chang & Ming-Tsang Lu, 2021. "Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
    15. Sumona Mukhuty & Arvind Upadhyay & Holly Rothwell, 2022. "Strategic sustainable development of Industry 4.0 through the lens of social responsibility: The role of human resource practices," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2068-2081, July.
    16. Foshammer, Jeppe & Søberg, Peder Veng & Helo, Petri & Ituarte, Iñigo Flores, 2022. "Identification of aftermarket and legacy parts suitable for additive manufacturing: A knowledge management-based approach," International Journal of Production Economics, Elsevier, vol. 253(C).
    17. Helen Rogers & Mohit Srivastava, 2021. "Emerging Sustainable Supply Chain Models for 3D Food Printing," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    18. Hasin Md. Muhtasim Taqi & S. M. Shafaat Akhter Nur & Sheak Salman & Tazim Ahmed & Sudipa Sarker & Syed Mithun Ali & Bathrinath Sankaranarayanan, 2023. "Behavioural factors for Industry 4.0 adoption: implications for knowledge-based supply chains," Operations Management Research, Springer, vol. 16(3), pages 1122-1139, September.
    19. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
    20. Nie, Jiajia & Xu, Xiaoxuan & Yue, Xiaohang & Guo, Qiang & Zhou, Yu, 2023. "Less is more: A strategic analysis of 3D printing with limited capacity," International Journal of Production Economics, Elsevier, vol. 258(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4327-:d:787611. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.