{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T10:14:43Z","timestamp":1776680083549,"version":"3.51.2"},"reference-count":73,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T00:00:00Z","timestamp":1618185600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.<\/jats:p>","DOI":"10.3390\/app11083438","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T11:05:06Z","timestamp":1618225506000},"page":"3438","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry"],"prefix":"10.3390","volume":"11","author":[{"given":"Jorge","family":"Fernandes","sequence":"first","affiliation":[{"name":"Department of Economics, Management, Industrial Engineering and Tourism, GOVCOPP, Campus Universit\u00e1rio de Santiago, Aveiro University, 3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8504-0065","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Reis","sequence":"additional","affiliation":[{"name":"Department of Economics, Management, Industrial Engineering and Tourism, GOVCOPP, Campus Universit\u00e1rio de Santiago, Aveiro University, 3810-193 Aveiro, Portugal"},{"name":"Industrial Engineering and Management, EIGeS, Lus\u00f3fona University, 1749-024 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1359-3437","authenticated-orcid":false,"given":"Nuno","family":"Mel\u00e3o","sequence":"additional","affiliation":[{"name":"Research Center in Digital Services, CISeD, Polytechnic Institute of Viseu, Campus Polit\u00e9cnico, 3504-510 Viseu, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7791-1932","authenticated-orcid":false,"given":"Leonor","family":"Teixeira","sequence":"additional","affiliation":[{"name":"Department of Economics, Management, Industrial Engineering and Tourism, IEETA, Campus Universit\u00e1rio de Santiago, Aveiro University, 3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0901-0614","authenticated-orcid":false,"given":"Marlene","family":"Amorim","sequence":"additional","affiliation":[{"name":"Department of Economics, Management, Industrial Engineering and Tourism, GOVCOPP, Campus Universit\u00e1rio de Santiago, Aveiro University, 3810-193 Aveiro, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1016\/j.proeng.2017.03.135","article-title":"Towards lean production in Industry 4.0","volume":"182","author":"Mrugalska","year":"2017","journal-title":"Procedia Eng."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Reis, J., Amorim, M., Mel\u00e3o, N., and Matos, P. (2018). Digital transformation: A literature review and guidelines for future research. World Conference on Information Systems and Technologies, Springer.","DOI":"10.1007\/978-3-319-77703-0_41"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Reis, J., Amorim, M., Mel\u00e3o, N., Cohen, Y., and Rodrigues, M. (2019). Digitalization: A literature review and research agenda. 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(2018, January 4\u20137). Maintenance 4.0: Intelligent and predictive maintenance system architecture. Proceedings of the 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy.","DOI":"10.1109\/ETFA.2018.8502489"},{"key":"ref_11","first-page":"259","article-title":"Intelligent predictive maintenance (IPdM) system\u2013Industry 4.0 scenario","volume":"113","author":"Wang","year":"2016","journal-title":"Wit Trans. Eng. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.jmsy.2020.05.016","article-title":"A survey on decision-making based on system reliability in the context of Industry 4.0","volume":"56","author":"Souza","year":"2020","journal-title":"J. Manuf. Syst."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Bodensohn, A., Haueis, M., M\u00e4ckel, R., Pulverm\u00fcller, M., and Schreiber, T. (2005). System monitoring for lifetime prediction in automotive industry. Advanced Microsystems for Automotive Applications, Springer.","DOI":"10.1007\/3-540-27463-4_11"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"031009","DOI":"10.1115\/1.3123339","article-title":"Condition-based maintenance decision-making for multiple machine systems","volume":"131","author":"Ambani","year":"2009","journal-title":"J. Manuf. Sci. Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.csi.2019.02.001","article-title":"A BPMN-based language for modeling corporate communications","volume":"65","author":"Orban","year":"2019","journal-title":"Comput. Stand. Interfaces"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s12599-014-0334-4","article-title":"Industry 4.0","volume":"6","author":"Lasi","year":"2014","journal-title":"Bus. Inf. Syst. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2941","DOI":"10.1080\/00207543.2018.1444806","article-title":"Industry 4.0: State of the art and future trends","volume":"56","author":"Xu","year":"2018","journal-title":"Int. J. Prod. Res."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Hermann, M., Pentek, T., and Otto, B. (2016, January 5\u20138). Design principles for industry 4.0 scenarios. Proceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, USA.","DOI":"10.1109\/HICSS.2016.488"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.procir.2017.02.041","article-title":"Industry 4.0 impacts on lean production systems","volume":"63","author":"Wagner","year":"2017","journal-title":"Procedia Cirp"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1080\/00207543.2017.1403664","article-title":"The evolution of production systems from Industry 2.0 through Industry 4.0","volume":"56","author":"Yin","year":"2018","journal-title":"Int. J. Prod. Res."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Powell, D., Romero, D., Gaiardelli, P., Cimini, C., and Cavalieri, S. (2018). Towards digital lean cyber-physical production systems: Industry 4.0 technologies as enablers of leaner production. IFIP International Conference on Advances in Production Management Systems, Springer.","DOI":"10.1007\/978-3-319-99707-0_44"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.procir.2014.02.001","article-title":"Service innovation and smart analytics for Industry 4.0 and big data environment","volume":"16","author":"Lee","year":"2014","journal-title":"Procedia Cirp"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"012094","DOI":"10.1088\/1757-899X\/227\/1\/012094","article-title":"Smart factory in the context of 4th industrial revolution: Challenges and opportunities for Romania","volume":"227","author":"Zamfirescu","year":"2017","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1108\/JMTM-02-2018-0057","article-title":"The future of manufacturing industry: A strategic roadmap toward Industry 4.0","volume":"29","author":"Ghobakhloo","year":"2018","journal-title":"J. Manuf. Technol. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Schmidt, R., M\u00f6hring, M., H\u00e4rting, R., Reichstein, C., Neumaier, P., and Jozinovi\u0107, P. (2015). Industry 4.0-potentials for creating smart products: Empirical research results. International Conference on Business Information Systems, Springer.","DOI":"10.1007\/978-3-319-19027-3_2"},{"key":"ref_26","first-page":"1","article-title":"Industry 4.0: A survey on technologies, applications and open research issues","volume":"6","author":"Lu","year":"2017","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Cuevas, R., Bodea, C.N., and Torres-Lima, P. (2021). The Role of Projects in the Process of Transforming Automotive Industry. Research on Project, Programme and Portfolio Management. Lecture Notes in Management and Industrial Engineering, Springer.","DOI":"10.1007\/978-3-030-60139-3"},{"key":"ref_28","first-page":"1729881420923997","article-title":"Case study: Performance analysis and development of robotized screwing application with integrated vision sensing system for automotive industry","volume":"17","author":"Bulej","year":"2020","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/j.cirpj.2020.07.002","article-title":"The potential of industry 4.0 Cyber Physical System to improve quality assurance: An automotive case study for wash monitoring of returnable transit items","volume":"32","author":"Neal","year":"2021","journal-title":"Cirp J. Manuf. Sci. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"120343","DOI":"10.1016\/j.techfore.2020.120343","article-title":"Impact of digital transformation on the automotive industry","volume":"162","author":"Rubio","year":"2021","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1108\/IMDS-09-2017-0403","article-title":"Strategic response to Industry 4.0: An empirical investigation on the Chinese automotive industry","volume":"118","author":"Lin","year":"2018","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_32","first-page":"294","article-title":"What does Industry 4.0 mean for sustainable development?","volume":"2","author":"Tsvetkova","year":"2017","journal-title":"Industry 4.0"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"103289","DOI":"10.1016\/j.engappai.2019.103289","article-title":"A predictive model for the maintenance of industrial machinery in the context of industry 4.0","volume":"87","author":"Monroy","year":"2020","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Reis, J., Santo, P., and Mel\u00e3o, N. (2020). Impact of Artificial Intelligence Research on Politics of the European Union Member States: The Case Study of Portugal. Sustainability, 12.","DOI":"10.3390\/su12176708"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1016\/j.promfg.2017.09.191","article-title":"What does industry 4.0 mean to supply chain","volume":"13","author":"Tjahjono","year":"2017","journal-title":"Procedia Manuf."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1016\/j.promfg.2017.07.257","article-title":"Supporting remote maintenance in industry 4.0 through augmented reality","volume":"11","author":"Masoni","year":"2017","journal-title":"Procedia Manuf."},{"key":"ref_37","first-page":"1512","article-title":"Industrial revolution-industry 4.0: Are German manufacturing SMEs the first victims of this revolution?","volume":"8","author":"Sommer","year":"2015","journal-title":"J. Ind. Eng. Manag."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"106024","DOI":"10.1016\/j.cie.2019.106024","article-title":"A systematic literature review of machine learning methods applied to predictive maintenance","volume":"137","author":"Carvalho","year":"2019","journal-title":"Comput. Ind. Eng."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Chebel-Morello, B., Nicod, J., and Varnier, C. (2017). From Prognostics and Health Systems Management to Predictive Maintenance 2: Knowledge, Reliability and Decision, John Wiley & Sons.","DOI":"10.1002\/9781119436805"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1016\/j.ymssp.2005.09.012","article-title":"A review on machinery diagnostics and prognostics implementing condition-based maintenance","volume":"20","author":"Jardine","year":"2006","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1108\/13552519810369057","article-title":"Predictive maintenance techniques and their relevance to construction plant","volume":"4","author":"Edwards","year":"1998","journal-title":"J. Qual. Maint. Eng."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"012039","DOI":"10.1088\/1757-899X\/997\/1\/012039","article-title":"A state of the art of predictive maintenance techniques","volume":"Volume 997","author":"Avram","year":"2020","journal-title":"IOP Conference Series: Materials Science and Engineering"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Hoffmann, M., Wildermuth, S., Gitzel, R., Boyaci, A., Gebhardt, J., Kaul, H., Amihai, I., Frog, B., Suriyah, M., and Leibfried, T. (2020). Integration of novel sensors and machine learning for predictive maintenance in medium voltage switchgear to enable the energy and mobility revolutions. Sensors, 20.","DOI":"10.3390\/s20072099"},{"key":"ref_44","unstructured":"Soliman, M. (2021, February 23). Industrial Applications of Infrared Thermography: How Infrared Analysis Can Be Used to Improve Equipment Inspection, Available online: https:\/\/ssrn.com\/abstract=3743671."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"103380","DOI":"10.1016\/j.compind.2020.103380","article-title":"A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines","volume":"125","author":"Schwendemann","year":"2021","journal-title":"Comput. Ind."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"812","DOI":"10.1109\/TII.2014.2349359","article-title":"Machine learning for predictive maintenance: A multiple classifier approach","volume":"11","author":"Susto","year":"2014","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_47","unstructured":"Duffuaa, S., Raouf, A., and Campbell, J. (2000). Planning and Control of Maintenance Systems, Springer."},{"key":"ref_48","unstructured":"Levitt, J. (2003). Complete Guide to Preventive and Predictive Maintenance, Industrial Press Inc."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.ifacol.2020.11.047","article-title":"Towards prediction of machine failures: Overview and first attempt on specific automotive industry application","volume":"53","author":"Ciancio","year":"2020","journal-title":"IFAC-PapersOnLine"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.procs.2021.01.160","article-title":"Optimization of condition-based maintenance strategy prediction for aging automotive industrial equipment using FMEA","volume":"180","author":"Ramere","year":"2021","journal-title":"Procedia Comput. Sci."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Aksa, K., Aitouche, S., Bentoumi, H., and Sersa, I. (2021). Developing a Web Platform for the Management of the Predictive Maintenance in Smart Factories. Wirel. Pers. Commun., 1\u201329.","DOI":"10.1007\/s11277-021-08290-w"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"\u015awi\u0105tek, J., Borzemski, L., and Wilimowska, Z. (2018). Implementing BPMN in Maintenance Process Modeling. Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology-ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, 656, Springer.","DOI":"10.1007\/978-3-319-67229-8"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Van Der Aalst, W., Ter Hofstede, A., and Weske, M. (2003). Business process management: A survey. International Conference on Business Process Management, Springer.","DOI":"10.1007\/3-540-44895-0"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Hammer, M. (2015). What is business process management?. Handbook on Business Process Management, Springer.","DOI":"10.1007\/978-3-642-45100-3_1"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1046\/j.1365-2575.2000.00075.x","article-title":"A Conceptual Framework for Understanding Business Processes and Business Process Modelling","volume":"10","author":"Pidd","year":"2000","journal-title":"Inf. Syst. J."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.csi.2016.06.003","article-title":"A survey on business processes management suites","volume":"51","author":"Meidan","year":"2017","journal-title":"Comput. Stand. Interfaces"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.csi.2011.06.002","article-title":"BPMN: An introduction to the standard","volume":"34","author":"Chinosi","year":"2012","journal-title":"Comput. Stand. Interfaces"},{"key":"ref_58","first-page":"1","article-title":"Don\u2019t forget to improve the process!","volume":"58","author":"Santoro","year":"2016","journal-title":"Bus. Process Manag."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Suri, K., Cadavid, J., Alferez, M., Dhouib, S., and Tucci-Piergiovanni, S. (2017, January 12\u201315). Modeling business motivation and underlying processes for RAMI 4.0-aligned cyber-physical production systems. Proceedings of the 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Limassol, Cyprus.","DOI":"10.1109\/ETFA.2017.8247702"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Kannengiesser, U., and M\u00fcller, H. (2018, January 5\u20136). Industry 4.0 Standardisation: Where Does S-BPM Fit?. Proceedings of the 10th International Conference on Subject-Oriented Business Process Management, Linz, Austria.","DOI":"10.1145\/3178248.3178255"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Jasiulewicz-Kaczmarek, M., Waszkowski, R., Piechowski, M., and Wycz\u00f3\u0142kowski, R. (2017). Implementing BPMN in maintenance process modeling. International Conference on Information Systems Architecture and Technology, Springer.","DOI":"10.1007\/978-3-319-67229-8_27"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Savary, J. (1995). Competitive Strategies in the World Market: The Case of Renault and the Emergence of a European Group?. Towards a New Map of Automobile Manufacturing in Europe?, Springer.","DOI":"10.1007\/978-3-642-79471-1_7"},{"key":"ref_63","unstructured":"Yin, R. (2017). Case Study Research and Applications: Design and Methods, Sage Publications."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Mills, A., Durepos, G., and Wiebe, E. (2010). Encyclopedia of Case Study Research, Sage Publications.","DOI":"10.4135\/9781412957397"},{"key":"ref_65","unstructured":"Blaxter, L. (2010). How to Research, McGraw-Hill Education."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Given, L. (2008). The SAGE Encyclopedia of Qualitative Research Methods, Sage Publications.","DOI":"10.4135\/9781412963909"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Savin-Baden, M., and Major, C. (2010). New Approaches to Qualitative Research: Wisdom and Uncertainty, Routledge, Taylor & Francis Group.","DOI":"10.4324\/9780203849873"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Taylor, S., Bogdan, R., and DeVault, M. (2016). Introduction to Qualitative Research Methods: A Guidebook and Resources, Wiley & Sons.","DOI":"10.1002\/9781394260485"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1177\/1049732305276687","article-title":"Three approaches to qualitative content analysis","volume":"15","author":"Hsieh","year":"2005","journal-title":"Qual. Health Res."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Neuendorf, K. (2017). The Content Analysis Guidebook, Sage Publications.","DOI":"10.4135\/9781071802878"},{"key":"ref_71","first-page":"57","article-title":"High speed machining of aluminium gear box without temperature stabilization","volume":"5","author":"Silva","year":"2010","journal-title":"Transp. Probl."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1049\/iet-cim.2020.0022","article-title":"Reinforcement learning for optimal policy learning in condition-based maintenance","volume":"2","author":"Adsule","year":"2020","journal-title":"IET Collab. Intell. Manuf."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1108\/13552511211281552","article-title":"Condition based maintenance: A survey","volume":"18","author":"Prajapati","year":"2012","journal-title":"J. Qual. Maint. 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