A bibliometric research of Industry 4.0 opportunities in Industrial Engineering





Transformations from the traditional industry model to the Industry 4.0 model presents great challenges for Industrial Engineering professionals and students. Consequently, it becomes necessary to adapt already consolidated concepts in the academic and professional environment to meet the peculiarities and needs of this new business model. To understand these challenges of the fourth industrial revolution for those professionals, it was performed a bibliometric research to comprehend the publication’s profile involving the main concepts of Industry 4.0 and Industrial Engineering topics. This research consists of the analysis and interpretation of Scopus and Web of Science databases from January 2012 to November 2019. The results found indicate significant growth of scientific articles covering Industry 4.0 concepts applied in Industrial Engineering fields, as well as the distribution of publications by branch. The main contribution of this research article is to present the applicability of Industry 4.0 concepts in Industrial Engineering branches, plus the trends and opportunities for future research.


Abepro. Engenharia De Produção: Grande Ãrea E Diretrizes Curriculares. (2018). Disponível Em: http://www.Abepro.Org.Br/Arquivos/Websites/1/Ref_Curriculares_Abepro.Pdf. Acessed 19 April de 2018

Anderl, R. (2015). Industrie 4.0 – Technological Approaches, Use Cases, And Implementation. at - Automatisierungstechnik. 63. 753-765. DOI: 10.1515/auto-2015-0025

Arcidiacono, G., Pieroni. A. (2018). The Revolution Lean Six Sigma 4.0. p. 141-147. Rome.

Assis, R. S.; Costa, K. A. & Hernandez, C. T. (2018). Oportunidades da indústria 4.0 para a Engenharia de Produção. In: xxxviii ENEGEP - Encontro Nacional de Engenharia de Producao, Maceió, Alagoas, Brasil, 38.

Belarmino, R.A.N. (2017). Digitalização das Informações na Industria 4.0: Estudo de Caso da Estruturação Digital do Estoque de Um E-Commerce, In Proceedings ENEGEP, Joinville, Santa Catarina, Brasil, 37.

Blöchl, J.S. & Schneider, M. (2016). Simulation Game for Intelligent Production Logistics, p. 54:130–5, Procedia CIRP, Germany, 2016.

Costa, H. G. (2010). Modelo Para Webibliomining: Proposta E Caso De Aplicação. Revista da Fae, v.13.

Chang, C. & Chen, Y. (2020). Cognition, Attitude, and Interest in Cross-Disciplinary i-STEM Robotics Curriculum Developed by Thematic Integration Approaches of Webbed and Threaded Models: a Concurrent Embedded Mixed Methods Study. J Sci Educ Technol, 29, 622–634. https://doi.org/10.1007/s10956-020-09841-9

Diem, A. & Wolter, S. C. (2013). The Use of Bibliometrics To Measure Research Performance in Education Sciences. Research in Higher Education, 54(1), 86–114. https://doi.org/10.1007/s11162-012-9264-5

Ellegard, O. (2018). The Application of Bibliometrics Analysis: Disciplinary and Users Aspects. Scientometrics, Volume 116, p 181–202. https://doi.org/10.1007/s11192-018-2765-z

Filser, L.D., da Silva, F.F. & de Oliveira, O.J. (2017). State of research and future research tendencies in lean healthcare: a bibliometric analysis. Scientometrics 112, 799–816. https://doi.org/10.1007/s11192-017-2409-8

Gašová, M., Gašo, M. & Stefanik, A. (2017). Advanced Industrial Tools of Ergonomics Based On Industry 4.0 Concept. Procedia Engineering, Volume 192, Pages 219-224. https://doi.org/10.1016/j.proeng.2017.06.038.

Hermann, M., Pentek, T. & Otto B. (2015). Design Principles for Industrie 4.0 Scenarios: A Literature Review. Technische Universität Dortmund, Working Paper, P. 4-16. 10.13140/RG.2.2.29269.22248.

Hood, W. W. & Wilson, C. S. (2001). The Literature of Bibliometrics, Scientometrics, And Informetrics. Scientometrics, Amsterdam, v.52, N.2, p.291-314. https://doi.org/10.1023/A:1017919924342

Kargemann, H., Wahlster, W. & Helbig, J. (2013). Recommendations for Implementing the Strategic Initiative Industrie 4.0, ACATECH – National Academy of Science and Engineering. Federal Ministry of Education and Research, Final Report, 2013.

Lee, J., Bagheri, B. & Kao, H. (2015). A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems. Manufacturing Letters, Volume 3, Pages 18-23. https://doi.org/10.1016/j.mfglet.2014.12.001

Li, D. (2016). Perspective for Smart Factory in Petrochemical Industry. Computers & Chemical Engineering, volume 91, 4, p:136–148. https://doi.org/10.1016/j.compchemeng.2016.03.006

Lu, Y. (2017). Industry 4.0: A Survey on Technologies, Applications and Open Research Issues. Journal of Industrial Information Integration, v. 6, p. 1–10. https://doi.org/10.1016/j.jii.2017.04.005

Kolberg, D. & Zuhlke, D. (2015). Lean Automation Enabled by Industry 4.0 Technologies, Information Control Problems in Manufacturing. IFAC-PapersOnLine, v. 48, issue 3, p. 1870–1875. https://doi.org/10.1016/j.ifacol.2015.06.359

Kotynkova, M. (2017). Re-Industrialization of Europe: Industry 4.0 And Future of Work. Europe Scientific Journal, p. 249-256.

Man, J. C. & Strandhagen, J. O. (2017). An Industry 4.0 Research Agenda for Sustainable Business Models. Procedia CIRP, v.63:721–726. https://doi.org/10.1016/j.procir.2017.03.315

Neradilova, H. & Fedorko, G. (2017). Simulation of The Supply of Workplaces by The Agv In the Digital Factory, Procedia Engineering, v. 192, p. 638 – 643. https://doi.org/10.1016/j.proeng.2017.06.110

Nunes M.L, Pereira A.C, Alves A.C. (2017). Smart Products Development Approaches for Industry 4.0. Procedia Manufacturing, p. 1215–1222. https://doi.org/10.1016/j.promfg.2017.09.035

Ramaswamy, S., Harris, I. & Tschirner, U. (2001). Student Peer Teaching: An Innovative Approach to Instruction in Science and Engineering Education. Journal of Science Education and Technology, 10, 165–171. https://doi.org/10.1023/A:1009421231056

Sanders, A., Elangeswaran, C. & Wulfsberg, J. (2016). Industry 4.0 Implies Lean Manufacturing: Research Activities in Industry 4.0 Function as Enablers for Lean Manufacturing. Journal of Industrial Engineering and Management, v. 9, 3, p. 811-833. DOI: 10.3926/jiem.1940

Santana,A., Afonso, P., Zanin A. & Wernke,R. (2017). Costing Models for Capacity Optimization in Industry Trade-Off Between Used Capacity and perational Efficiency, Procedia Manufacturing, V.13, Pages 1183-1190. https://doi.org/10.1016/j.promfg.2017.09.193.

Scurati, G. W., Gatullo, M., Fiorentino, M. & Ferrise, F. (2018). Converting Maintenance Actions into Standard Symbols for Augmented Reality Applications in Industry 4.0. Computers in Industry, v. 98, p. 68-79. https://doi.org/10.1016/j.compind.2018.02.001

Seah, Y. Y. & Magana, A. J. (2019). Exploring Students’ Experimentation Strategies in Engineering Design Using an Educational CAD Tool. J Sci Educ Technol 28, 195–208. https://doi.org/10.1007/s10956-018-9757-x

Vaidya, S., Ambad, P. & Bhosle, S. (2018). Industry 4.0 – A Glimpse. Procedia Manufacturing, v. 20, 233-238. https://doi.org/10.1016/j.promfg.2018.02.034

Vogel-Heuser, B. & Hess, D. (2016). Guest Editorial Industry 4.0–Prerequisites and Visions. IEEE Transactions on Automation Science and Engineering, v. 13, n. 2, p. 411-413. DOI: 10.1109/TASE.2016.2523639

Xavier, I. V. R., Calderaro, L. C. S. & Silva, M. T. E. (2015). A Contribuição da Engenharia de Produção na Gestão Sustentável Empresarial. São Paulo, 2015.

Xie, Y. & Reider, D. (2014). Integration of Innovative Technologies for Enhancing Students’ Motivation for Science Learning and Career. J Sci Educ Technol, 23, 370–380. https://doi.org/10.1007/s10956-013-9469-1

Wang, S., Wan, J., Li, D. & Zhang, C. (2016). Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks, v. 12, 1. https://doi.org/10.1155/2016/3159805

Witkowski, K. (2017). Internet of Things, Big Data, Industry 4.0 - Innovative Solutions in Logistics and Supply Chains Management, Procedia Engineering, V.182, p. 763-769. https://doi.org/10.1016/j.proeng.2017.03.197