IDEAS home Printed from https://ideas.repec.org/a/gam/jpubli/v9y2021i3p29-d588851.html
   My bibliography  Save this article

Stories Told by Publications about the Relationship between Industry 4.0 and Lean: Systematic Literature Review and Future Research Agenda

Author

Listed:
  • Juliana Salvadorinho

    (Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, 3010-193 Aveiro, Portugal)

  • Leonor Teixeira

    (Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, 3010-193 Aveiro, Portugal)

Abstract

Industry 4.0 and its application in the business has been the focus of attention by the academy, for its ability to establish principles of flexibility and connectivity along the shop floor. Meantime, because of a lean wave in the 1990’s, most of the western industry adopted principles, techniques and tools of lean production, whose results were quickly captured, guaranteed its adoption worldwide. Thus, with a view to turning traditional manufacturing companies into smart companies, it is essential to preserve the existing system and find ways for the two concepts (Lean and I4.0) to come together. This study was conducted based on a systematic literature review, using the Scopus database. The PRISMA process was the method used to select the articles. Finally, to analyze and discuss the results, the bibliometric analysis of the articles and content analysis were adopted. The results point to a greater impact of I4.0 technologies on lean, since it was perceived that I4.0 technologies give to lean tools a more dynamic way of working, accelerating information sharing processes and improving production manager’s and operator’s decision making. In the perspective of lean’s contribution to I4.0; however, there is little practical and theoretical application, thus the actual contribution is still somewhat blurred.

Suggested Citation

  • Juliana Salvadorinho & Leonor Teixeira, 2021. "Stories Told by Publications about the Relationship between Industry 4.0 and Lean: Systematic Literature Review and Future Research Agenda," Publications, MDPI, vol. 9(3), pages 1-20, July.
  • Handle: RePEc:gam:jpubli:v:9:y:2021:i:3:p:29-:d:588851
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2304-6775/9/3/29/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2304-6775/9/3/29/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yong Yin & Kathryn E. Stecke & Dongni Li, 2018. "The evolution of production systems from Industry 2.0 through Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 848-861, January.
    2. Leonilde Varela & Adriana Araújo & Paulo Ávila & Hélio Castro & Goran Putnik, 2019. "Evaluation of the Relation between Lean Manufacturing, Industry 4.0, and Sustainability," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    3. Guilherme Luz Tortorella & Ninad Pradhan & Enrique Macias de Anda & Samuel Trevino Martinez & Rupy Sawhney & Maneesh Kumar, 2020. "Designing lean value streams in the fourth industrial revolution era: proposition of technology-integrated guidelines," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5020-5033, July.
    4. Guilherme Luz Tortorella & Diego Fettermann, 2018. "Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2975-2987, April.
    5. Bortolotti, Thomas & Boscari, Stefania & Danese, Pamela, 2015. "Successful lean implementation: Organizational culture and soft lean practices," International Journal of Production Economics, Elsevier, vol. 160(C), pages 182-201.
    6. Félix Moya-Anegón & Zaida Chinchilla-Rodríguez & Benjamín Vargas-Quesada & Elena Corera-Álvarez & Francisco José Muñoz-Fernández & Antonio González-Molina & Victor Herrero-Solana, 2007. "Coverage analysis of Scopus: A journal metric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 53-78, October.
    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. Salvadorinho, Juliana & Ferreira, Carlos & Teixeira, Leonor, 2024. "A technology-based framework to foster the lean human resource 4.0 and prevent the great resignation: The talent management lift," Technology in Society, Elsevier, vol. 77(C).
    2. Arthur Henrique Gomes Rossi & Giovanna Bueno Marcondes & Joseane Pontes & Paulo Leitão & Fernanda Tavares Treinta & Luis Mauricio Martins De Resende & Elaine Mosconi & Rui Tadashi Yoshino, 2022. "Lean Tools in the Context of Industry 4.0: Literature Review, Implementation and Trends," Sustainability, MDPI, vol. 14(19), pages 1-32, September.
    3. Bertha Leticia Treviño-Elizondo & Heriberto García-Reyes & Rodrigo E. Peimbert-García, 2023. "A Maturity Model to Become a Smart Organization Based on Lean and Industry 4.0 Synergy," Sustainability, MDPI, vol. 15(17), pages 1-24, September.
    4. Gabrielle Biard & Georges Abdul Nour, 2021. "Industry 4.0 Contribution to Asset Management in the Electrical Industry," Sustainability, MDPI, vol. 13(18), pages 1-17, September.

    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. Bueno, Adauto & Goyannes Gusmão Caiado, Rodrigo & Guedes de Oliveira, Thaís Lopes & Scavarda, Luiz Felipe & Filho, Moacir Godinho & Tortorella, Guilherme Luz, 2023. "Lean 4.0 implementation framework: Proposition using a multi-method research approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Yilmaz, Aysegul & Dora, Manoj & Hezarkhani, Behzad & Kumar, Maneesh, 2022. "Lean and industry 4.0: Mapping determinants and barriers from a social, environmental, and operational perspective," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Antonio Sartal & Josep Llach & Fernando León-Mateos, 2022. "“Do technologies really affect that much? exploring the potential of several industry 4.0 technologies in today’s lean manufacturing shop floors”," Operational Research, Springer, vol. 22(5), pages 6075-6106, November.
    4. Bertha Leticia Treviño-Elizondo & Heriberto García-Reyes & Rodrigo E. Peimbert-García, 2023. "A Maturity Model to Become a Smart Organization Based on Lean and Industry 4.0 Synergy," Sustainability, MDPI, vol. 15(17), pages 1-24, September.
    5. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    6. Henrik Saabye & Thomas Borup Kristensen & Brian Vejrum Wæhrens, 2020. "Real-Time Data Utilization Barriers to Improving Production Performance: An In-depth Case Study Linking Lean Management and Industry 4.0 from a Learning Organization Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    7. Andreas Felsberger & Gerald Reiner, 2020. "Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review," Sustainability, MDPI, vol. 12(19), pages 1-39, September.
    8. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Nevien Farouk Khourshed & Sahar Sobhy Elbarky & Sarah Elgamal, 2023. "Investigating the Readiness Factors for Industry 4.0 Implementation for Manufacturing Industry in Egypt," Sustainability, MDPI, vol. 15(12), pages 1-40, June.
    10. Michela Piccarozzi & Barbara Aquilani & Corrado Gatti, 2018. "Industry 4.0 in Management Studies: A Systematic Literature Review," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    11. Usama Awan & Robert Sroufe & Muhammad Shahbaz, 2021. "Industry 4.0 and the circular economy: A literature review and recommendations for future research," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2038-2060, May.
    12. Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Filho, Moacir Godinho & Samson, Daniel & Kumar, Maneesh, 2021. "Bundles of Lean Automation practices and principles and their impact on operational performance," International Journal of Production Economics, Elsevier, vol. 235(C).
    13. Virmani, Naveen & Sharma, Shikha & Kumar, Anil & Luthra, Sunil, 2023. "Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    14. Henao, Rafael & Sarache, William, 2022. "Sustainable performance in manufacturing operations: The cumulative approach vs. trade-offs approach," International Journal of Production Economics, Elsevier, vol. 244(C).
    15. Varun Tripathi & Somnath Chattopadhyaya & Alok Bhadauria & Shubham Sharma & Changhe Li & Danil Yurievich Pimenov & Khaled Giasin & Sunpreet Singh & Girish Dutt Gautam, 2021. "An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
    16. 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.
    17. Ricardo Arencibia-Jorge & Felix Moya-Anegón, 2010. "Challenges in the study of Cuban scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 723-737, June.
    18. Zhang, Zhe & Song, Xiaoling & Gong, Xue & Yin, Yong & Lev, Benjamin & Zhou, Xiaoyang, 2024. "Coordinated seru scheduling and distribution operation problems with DeJong’s learning effects," European Journal of Operational Research, Elsevier, vol. 313(2), pages 452-464.
    19. Kroes, James R. & Manikas, Andrew S. & Gattiker, Thomas F., 2018. "Operational leanness and retail firm performance since 1980," International Journal of Production Economics, Elsevier, vol. 197(C), pages 262-274.
    20. Lili Wang & Min Li & Guanbin Kong & Haiwen Xu, 2024. "Joint decision-making for divisional seru scheduling and worker assignment considering process sequence constraints," Annals of Operations Research, Springer, vol. 338(2), pages 1157-1185, July.

    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:jpubli:v:9:y:2021:i:3:p:29-:d:588851. 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.