Quality 4.0 in Digital Manufacturing – Example of Good Practice
Abstract
Purpose: The ever-evolving market dynamics and the trend toward increased product individualization demand a high degree of adaptability in production management. This calls for novel approaches, such as Industry 4.0 (I4.0), which integrates the Quality 4.0 (Q4.0) model as well.
Methodology/Approach: I4.0 builds upon the foundation of digital manufacturing and entails three key dimensions: (i) The employment of advanced digital technologies to enable digital production, (ii) The development of smart products, which incorporate novel production methods and innovative features, and, (iii) The adoption of an intelligent supply chain, designed to facilitate the procurement of raw materials and the delivery of finished goods. In our research studies, we focus specifically on the first and third approaches.
Findings: A bilateral flow of information in collaborative manufacturing is facilitated through digital platforms that span the entirety of the production process, from the inception of cutting-edge product designs to the final delivery to end-customers, integrating quality management (QM) as well.
Research Limitation/Implication: The current study outlines a QM model developed for a digital factory in Serbia, utilizing the Q4.0 model, with particular emphasis on the workshop section, integrated within the Enterprise Resource Planning/Manufacturing Execution Systems module.
Originality/Value of paper: The manuscript serves as a notable illustration of best practices for digital manufacturing, and the implementation of a digital QM model within the metalworking industry.
References
Ammar, M., Abid, H., & Javaid, M., Walia, R. and Bahl, S., 2021. Implementing Industry 4.0 technologies in self-healing materials and digitally managing the quality of manufacturing. Materials Today: Proceedings, [e-journal] 45(6),5089-5096. DOI: 10.1016/j.matpr.2021.01.585.
Antonino, P.O., Capilla, R., Pelliccione, P., Schnicke, F., Espen, D., Kuhn, T. and Schmid, K., 2022. A Quality 4.0 Model for architecting industry 4.0 systems. Advanced Engineering Informatics, [e-journal] 54, 101801. DOI: 10.1016/j.aei.2022.101801.
Antony, J., McDermott, O. and Sony, M., 2021. Quality 4.0 conceptualisation and theoretical understanding: a global exploratory qualitative study. The TQM Journal, [e-journal] 34(5), pp.1169-1188. DOI: 10.1108/TQM-07-2021-0215.
Armani, C.G., Oliveira, K.F., Munhoz, I.P. and Akkari, A.C.S., 2021. Proposal and application of a framework to measure the degree of maturity in Quality 4.0: A multiple case study. In: R. Mangey ed. Advances in Mathematics for Industry 4.0. Academic Press. pp.131-163. DOI: 10.1016/B978-0-12-818906-1.00006-1.
Asif, M., 2020. Are QM models aligned with Industry 4.0? A perspective on current practices. Journal of Cleaner Production, [e-journal] 258, 120820. DOI: 10.1016/j.jclepro.2020.120820.
Barsalou, M., 2023. Root Cause Analysis in Quality 4.0: A Scoping Review of Current State and Perspectives. TEM Journal, [e-journal] 12(1), pp.73-79. DOI: 10.18421/TEM121-10.
Bousdekis, A., Lepenioti, K., Apostolou, D. and Mentzas, G., 2022. Data analytics in quality 4.0: literature review and future research directions. International Journal of Computer Integrated Manufacturing, [e-journal] 36(5), pp.678-701. DOI: 10.1080/0951192X.2022.2128219.
Brandenburger, J., Schirm, C., Melcher, J., Hancke, E., Vannucci, M., Colla, V., Cateni, S., Sellami, R., Dupont, S., Majchrowski, A. and Arteaga, A., 2020. Quality 4.0 - Transparent Product Quality Supervision in the Age of Industry 4.0. In: V. Colla and C. Pietrosanti, eds. ESTEP 2020: Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry. Cham: Springer. Available at: [Accessed on 02 April 2023].
Broday, E.E., 2022. The evolution of quality: from inspection to quality 4.0. International Journal of Quality and Service Sciences, [e-journal] 14(3), pp.368-382. DOI: 10.1108/IJQSS-09-2021-0121.
Butt, J.A., 2020. Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0. Designs, [e-journal] 4(2), 11. DOI: 10.3390/designs4020011.
Carvalho, A.M.D., Sampaio, P., Rebentisch, E. and Oehmen, J., 2020. Technology and quality management: A review of concepts and opportunities in the digital transformation. In: ICQEM (International Conference on Quality Engineering and Management), 4th International Conference on Quality Engineering and Management. Minho, Portugal, 21 September 2020. ICQEM. pp.698-714.
Carvalho, A.V. and Lima, T.M., 2022. Quality 4.0 and Cognitive Engineering Applied to Quality Management Systems: A Framework. Appl. Syst. Innov. 2022, 5(6), 115. DOI: 10.3390/asi5060115.
Carvalho, A.V., Enrique, D.V., Chouchene, A. and Charrua-Santos, F., 2021. Quality 4.0: An Overview. Procedia Computer Science, [e-journal] 181, pp.341-346. DOI: 10.1016/j.procs.2021.01.176.
Chiarini, A. and Kumar, M., 2021. What is Quality 4.0? An exploratory sequential mixed methods study of Italian manufacturing companies, International Journal of Production Research, [e-journal] 60(16), pp.4890-4910. DOI: 10.1080/00207543.2021.1942285.
Chiarini, A., 2020. Industry 4.0, quality management and TQM world. A systematic literature review and a proposed agenda for further research. The TQM Journal, [e-journal] 32(4), pp.603-616. DOI: 10.1108/TQM-04-2020-0082.
Christou, I.T., Kefalakis, N., Soldatos, J.K. and Despotopoulou, A.-M., 2022. End-to-end industrial IoT platform for Quality 4.0 applications. Computers in Industry, [e-journal] 137, 103591. DOI: 10.1016/j.compind.2021.
Escobar, C., Macias, D., McGovern, M., Menéndez, M.H. and Morales-Menéndez, R. 2022. Quality 4.0 – an evolution of Six Sigma DMAIC. International Journal of Lean Six Sigma, [e-journal] 13(6), pp.1200-1238. https://doi.org/10.1108/IJLSS-05-2021-0091.
Escobar, C.A., Macias, D., Menendez, M.H. and Morales-Menendez, R., 2021. Process monitoring for quality - A multiple classifier system for highly unbalanced data. Heliyon, [e-journal] 7(10), pp. e08123. DOI: 10.1016/j.heliyon.2021.e08123.
Fang, F.Z., Li, Z., Arokiam, A. and Gorman, T., 2016. Closed Loop PMI Driven Dimensional Quality Lifecycle Management Approach for Smart Manufacturing System. Proceeding CIRP, [e-journal] 56, pp.614-619. DOI: 10.1016/j.procir.2016.10.121.
Filz, M.-A., Gellrich, S., Lang, F., Zietsch, J., Abraham, T. and Herrmann, C., 2021. Data-driven Analysis of Product Property Propagation to Support Process-integrated Quality Management in Manufacturing Systems. Proceeding CIRP, [e-journal] 104, pp.900-905. DOI: 10.1016/j.procir.2021.11.151.
Forero, D.V. and Sisodia, R., 2020. Quality 4.0 - How to Handle Quality in the Industry 4.0 Revolution. Master's thesis. Chalmers University of technology. Sweden: Gothenburg.
Gunasekaran, A., Subramanian, N. and Ngai, W.T.E., 2018. Quality Management in the 21st Century Enterprises: Research pathway towards Industry 4.0. International Journal of Production Economics, [e-journal] 207, pp.125-129. DOI: 10.1016/j.ijpe.2018.09.005.
Huang, Z., Shahzadi, A. and Khan, Y.D., 2022. Unfolding the Impact of Quality 4.0 Practices on Industry 4.0 and Circular Economy Practices: A Hybrid SEM-ANN Approach. Sustainability, [e-journal] 14(23), 15495. DOI: 10.3390/su142315495.
Javaid, M., Haleem, A., Singh, R. and Suman, R., 2021. Significance of Quality 4.0 towards comprehensive enhancement in manufacturing sector. Sensors International, [e-journal] 2, 100109. DOI: 10.1016/j.sintl.2021.100109.
Komkowski, T., Antony, J., Garza-Reyes, J.A., Tortorella, G.L. and Pongboonchai-Empl, T., 2023. A systematic review of the integration of Industry 4.0 with quality-related operational excellence methodologies. Quality Management Journal, [e-journal] 30(1), pp.3-15. DOI: 10.1080/10686967.2022.2144783.
Krco, S. and Vukadinovic, V., 2023. IoT Project in Metalac Company. [Project in progress] Gornji Milanovac.
Kumar, R.R., Ganesh, L. and Rajendran, C., 2022. Quality 4.0 – a review of and framework for quality management in the digital era. International Journal of Quality & Reliability Management, 39(6), pp.1385-1411.
Küpper, D., Knizek, C., Ryeson, D. and Noecker, J., 2019. Quality 4.0 takes more than technology. [pdf] Boston Consulting Group, ASQ, Deutsche Gesellschaft für Qualität. Available at: [Accessed 02 April 2023].
Maganga, D.P. and Taifa, I.W.R., 2023. Quality 4.0 conceptualisation: an emerging quality management concept for manufacturing industries. The TQM Journal, [e-journal] 35(2), pp.389-413. DOI: 10.1108/TQM-11-2021-0328.
Majstorovic V., Jankovic, G., Zivkov, S. and Stojadinovic, S., 2021. Digital Manufacturing in SMEs based on the context of the Industry 4.0 framework – one approach. Procedia Manufacturing, [e-journal] 54, pp.52-57. DOI: 10.1016/j.promfg.2021.07.009.
Majstorovic V.D. and Mitrovic, R., 2019. Industry 4.0 Programs Worldwide. In: L. Monostori, V.D. Majstorovic, S.J. Hu and D. Djurdjanovic, eds., Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing. Springer, Cham. pp.78-99.
Martin, J., Dang, Q.H. and Gremyr, I., 2023. The influence of digitalisation on the role of quality professionals and their practices. Cogent Business & Management, [e-journal] 10(1), 2164162. DOI: 10.1080/23311975.2022.2164162.
Neal, A.D., Sharpe, R.G., van Lopik, K., Tribe, J., Goodall, P., Lugo, H., Segura-Velandia, D., Conway, P., Jackson, L.M., Jackson, T.W. and West, A.A., 2021. The potential of industry 4.0 Cyber Physical System to improve quality assurance: An automotive case study for wash monitoring of returnable transit items. CIRP Journal of Manufacturing Science and Technology, [e-journal] 32, pp.461-475. DOI: 10.1016/j.cirpj.2020.07.002.
Nenadál, J., Vykydal, D., Halfarová, P. and Tylečková, E., 2022. Quality 4.0 Maturity Assessment in Light of the Current Situation in the Czech Republic. Sustainability, [e-journal] 14, 7519. DOI: 10.3390/su14127519.
Park, S.H., Shin, W.S., Park, Y.H. and Lee, Y., 2017. Building a new culture for quality management in the era of the Fourth Industrial Revolution. Total Quality Management & Business Excellence, [e-journal] 28(9-10), pp.934-945. DOI: 10.1080/14783363.2017.1310703.
Powell, D., Eleftheriadis, R. and Myklebust, O., 2021. Digitally Enhanced Quality Management for Zero Defect Manufacturing. Procedia CIRP, [e-journal] 104, pp.1351-1354. DOI: 10.1016/j.procir.2021.11.227.
Prashar, A., 2023. Quality management in industry 4.0 environment: a morphological analysis and research agenda. International Journal of Quality & Reliability Management, [e-journal] 40(3), pp.863-885. DOI: 10.1108/IJQRM-10-2021-0348.
Ramezani, J. and Jassbi, J., 2020. Quality 4.0 in Action: Smart Hybrid Fault Diagnosis System in Plaster Production. Processes, [e-journal] 8(6), 634. DOI: 10.3390/pr8060634.
Rauch, E., 2020. Industry 4.0+: The Next Level of Intelligent and Self-optimizing Factories. In: V. Ivanov et al., eds. Advances in Design, Simulation and Manufacturing III. DSMIE 2020. Lecture Notes in Mechanical Engineering. Cham: Springer. pp.176-186.
Sader, S., Husti, I. and Daróczi, M., 2019. Quality Management Practices in the Era of Industry 4.0. Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie, 35, pp.117-126. DOI: 10.17512/znpcz.2019.3.10.
Sader, S., Husti, I. and Daroczi, M., 2021. A review of quality 4.0: definitions, features, technologies, applications, and challenges. Total Quality Management & Business Excellence, [e-journal] 33(9-10), pp.1164-1182. DOI: 10.1080/14783363.2021.1944082.
Schmidt Goecks, L., Santos, A.A. and Korzenowski, A.L., 2020. Decision-making trends in quality management: a literature review about Industry 4.0. Production, [e-journal] 30, e20190086. DOI: 10.1590/0103-6513.20190086.
Schmitt, J., Bönig, J., Borggräfe, T., Beitinger, G. and Deuse, J., 2020. Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing. Advanced Engineering Informatics, [e-journal] 45, 101101. DOI: 10.1016/j.aei.2020.101101.
Silva, C.S., Borges, A.F. and Magano, J., 2022. Quality Control 4.0: a way to improve the quality performance and engage shop floor operators. International Journal of Quality & Reliability Management, [e-journal] 39(6), pp.1471-1487. DOI: 10.1108/IJQRM-05-2021-0138.
Singh, J., Ahuja, I.P.S., Singh, H. and Singh, A., 2022. Development and Implementation of Autonomous Quality Management System (AQMS) in an Automotive Manufacturing using Quality 4.0 – A Case Study. Computers & Industrial Engineering, [e-journal] 168, 108121. DOI: 10.1016/j.cie.2022.108121.
Skalli, D., Charkaoui, A., Cherrafi, A., Garza-Reyes, J.A., Antony, J. and Shokri, A., 2023. Industry 4.0 and Lean Six Sigma integration in manufacturing: A literature review, an integrated framework and proposed research perspectives. Quality Management Journal, [e-journal] 30(1), pp.16-40. DOI: 10.1080/10686967.2022.2144784.
Song, Z., Sun, Y., Wan, J. and Liang, P., 2016. Data quality management for service-oriented manufacturing cyber-physical systems. Computers & Electrical Engineering, [e-journal] 64, pp-34-44. DOI: 10.1016/j.compeleceng.2016.08.010.
Sony, M., Antony, J. and Douglas, J.A., 2020. Essential ingredients for the implementation of Quality 4.0: A narrative review of literature and future directions for research. The TQM Journal, [e-journal] 32(4), pp.779-793. DOI: 10.1108/TQM-12-2019-0275.
Souza, F.F., Corsi, A., Pagani, R.N., Balbinotti, G. and Kovaleski, J.L., 2022. Total quality management 4.0: adapting quality management to Industry 4.0. The TQM Journal, [e-journal] 34(4), pp.749-769. DOI: 10.1108/TQM-10-2020-0238.
Stavropoulos, S., Papacharalampoulos, A., Sabatakakis, K. and Mourtzis, D., 2021. Quality Monitoring of Manufacturing Processes based on Full Data Utilization. Procedia CIRP, [e-journal] 104, pp.1656-1661. DOI: 10.1016/j.procir.2021.11.279.
Sureshchandar, G.S., 2022. Quality 4.0 – understanding the criticality of the dimensions using the analytic hierarchy process (AHP) technique. International Journal of Quality & Reliability Management, [e-journal] 39(6), pp.1336-1367. DOI: 10.1108/IJQRM-06-2021-0159.
Vial, G., 2019. Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, [e-journal] 28(2), pp.118-144. DOI: 10.1016/j.jsis.2019.01.003.
Zonnenshain, A. and Kennett, R.S., 2020. Quality 4.0—the challenging future of quality engineering. Quality Engineering, [e-journal] 32(4), pp.614-626. DOI: 10.1080/08982112.2019.1706744.
Zulqarnain, A., Wasif, M. and Iqbal, S.A., 2022. Developing a Quality 4.0 Implementation Framework and Evaluating the Maturity Levels of Industries in Developing Countries. Sustainability, [e-journal] 14(18), 11298. DOI: 10.3390/su141811298.
Antonino, P.O., Capilla, R., Pelliccione, P., Schnicke, F., Espen, D., Kuhn, T. and Schmid, K., 2022. A Quality 4.0 Model for architecting industry 4.0 systems. Advanced Engineering Informatics, [e-journal] 54, 101801. DOI: 10.1016/j.aei.2022.101801.
Antony, J., McDermott, O. and Sony, M., 2021. Quality 4.0 conceptualisation and theoretical understanding: a global exploratory qualitative study. The TQM Journal, [e-journal] 34(5), pp.1169-1188. DOI: 10.1108/TQM-07-2021-0215.
Armani, C.G., Oliveira, K.F., Munhoz, I.P. and Akkari, A.C.S., 2021. Proposal and application of a framework to measure the degree of maturity in Quality 4.0: A multiple case study. In: R. Mangey ed. Advances in Mathematics for Industry 4.0. Academic Press. pp.131-163. DOI: 10.1016/B978-0-12-818906-1.00006-1.
Asif, M., 2020. Are QM models aligned with Industry 4.0? A perspective on current practices. Journal of Cleaner Production, [e-journal] 258, 120820. DOI: 10.1016/j.jclepro.2020.120820.
Barsalou, M., 2023. Root Cause Analysis in Quality 4.0: A Scoping Review of Current State and Perspectives. TEM Journal, [e-journal] 12(1), pp.73-79. DOI: 10.18421/TEM121-10.
Bousdekis, A., Lepenioti, K., Apostolou, D. and Mentzas, G., 2022. Data analytics in quality 4.0: literature review and future research directions. International Journal of Computer Integrated Manufacturing, [e-journal] 36(5), pp.678-701. DOI: 10.1080/0951192X.2022.2128219.
Brandenburger, J., Schirm, C., Melcher, J., Hancke, E., Vannucci, M., Colla, V., Cateni, S., Sellami, R., Dupont, S., Majchrowski, A. and Arteaga, A., 2020. Quality 4.0 - Transparent Product Quality Supervision in the Age of Industry 4.0. In: V. Colla and C. Pietrosanti, eds. ESTEP 2020: Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry. Cham: Springer. Available at:
Broday, E.E., 2022. The evolution of quality: from inspection to quality 4.0. International Journal of Quality and Service Sciences, [e-journal] 14(3), pp.368-382. DOI: 10.1108/IJQSS-09-2021-0121.
Butt, J.A., 2020. Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0. Designs, [e-journal] 4(2), 11. DOI: 10.3390/designs4020011.
Carvalho, A.M.D., Sampaio, P., Rebentisch, E. and Oehmen, J., 2020. Technology and quality management: A review of concepts and opportunities in the digital transformation. In: ICQEM (International Conference on Quality Engineering and Management), 4th International Conference on Quality Engineering and Management. Minho, Portugal, 21 September 2020. ICQEM. pp.698-714.
Carvalho, A.V. and Lima, T.M., 2022. Quality 4.0 and Cognitive Engineering Applied to Quality Management Systems: A Framework. Appl. Syst. Innov. 2022, 5(6), 115. DOI: 10.3390/asi5060115.
Carvalho, A.V., Enrique, D.V., Chouchene, A. and Charrua-Santos, F., 2021. Quality 4.0: An Overview. Procedia Computer Science, [e-journal] 181, pp.341-346. DOI: 10.1016/j.procs.2021.01.176.
Chiarini, A. and Kumar, M., 2021. What is Quality 4.0? An exploratory sequential mixed methods study of Italian manufacturing companies, International Journal of Production Research, [e-journal] 60(16), pp.4890-4910. DOI: 10.1080/00207543.2021.1942285.
Chiarini, A., 2020. Industry 4.0, quality management and TQM world. A systematic literature review and a proposed agenda for further research. The TQM Journal, [e-journal] 32(4), pp.603-616. DOI: 10.1108/TQM-04-2020-0082.
Christou, I.T., Kefalakis, N., Soldatos, J.K. and Despotopoulou, A.-M., 2022. End-to-end industrial IoT platform for Quality 4.0 applications. Computers in Industry, [e-journal] 137, 103591. DOI: 10.1016/j.compind.2021.
Escobar, C., Macias, D., McGovern, M., Menéndez, M.H. and Morales-Menéndez, R. 2022. Quality 4.0 – an evolution of Six Sigma DMAIC. International Journal of Lean Six Sigma, [e-journal] 13(6), pp.1200-1238. https://doi.org/10.1108/IJLSS-05-2021-0091.
Escobar, C.A., Macias, D., Menendez, M.H. and Morales-Menendez, R., 2021. Process monitoring for quality - A multiple classifier system for highly unbalanced data. Heliyon, [e-journal] 7(10), pp. e08123. DOI: 10.1016/j.heliyon.2021.e08123.
Fang, F.Z., Li, Z., Arokiam, A. and Gorman, T., 2016. Closed Loop PMI Driven Dimensional Quality Lifecycle Management Approach for Smart Manufacturing System. Proceeding CIRP, [e-journal] 56, pp.614-619. DOI: 10.1016/j.procir.2016.10.121.
Filz, M.-A., Gellrich, S., Lang, F., Zietsch, J., Abraham, T. and Herrmann, C., 2021. Data-driven Analysis of Product Property Propagation to Support Process-integrated Quality Management in Manufacturing Systems. Proceeding CIRP, [e-journal] 104, pp.900-905. DOI: 10.1016/j.procir.2021.11.151.
Forero, D.V. and Sisodia, R., 2020. Quality 4.0 - How to Handle Quality in the Industry 4.0 Revolution. Master's thesis. Chalmers University of technology. Sweden: Gothenburg.
Gunasekaran, A., Subramanian, N. and Ngai, W.T.E., 2018. Quality Management in the 21st Century Enterprises: Research pathway towards Industry 4.0. International Journal of Production Economics, [e-journal] 207, pp.125-129. DOI: 10.1016/j.ijpe.2018.09.005.
Huang, Z., Shahzadi, A. and Khan, Y.D., 2022. Unfolding the Impact of Quality 4.0 Practices on Industry 4.0 and Circular Economy Practices: A Hybrid SEM-ANN Approach. Sustainability, [e-journal] 14(23), 15495. DOI: 10.3390/su142315495.
Javaid, M., Haleem, A., Singh, R. and Suman, R., 2021. Significance of Quality 4.0 towards comprehensive enhancement in manufacturing sector. Sensors International, [e-journal] 2, 100109. DOI: 10.1016/j.sintl.2021.100109.
Komkowski, T., Antony, J., Garza-Reyes, J.A., Tortorella, G.L. and Pongboonchai-Empl, T., 2023. A systematic review of the integration of Industry 4.0 with quality-related operational excellence methodologies. Quality Management Journal, [e-journal] 30(1), pp.3-15. DOI: 10.1080/10686967.2022.2144783.
Krco, S. and Vukadinovic, V., 2023. IoT Project in Metalac Company. [Project in progress] Gornji Milanovac.
Kumar, R.R., Ganesh, L. and Rajendran, C., 2022. Quality 4.0 – a review of and framework for quality management in the digital era. International Journal of Quality & Reliability Management, 39(6), pp.1385-1411.
Küpper, D., Knizek, C., Ryeson, D. and Noecker, J., 2019. Quality 4.0 takes more than technology. [pdf] Boston Consulting Group, ASQ, Deutsche Gesellschaft für Qualität. Available at:
Maganga, D.P. and Taifa, I.W.R., 2023. Quality 4.0 conceptualisation: an emerging quality management concept for manufacturing industries. The TQM Journal, [e-journal] 35(2), pp.389-413. DOI: 10.1108/TQM-11-2021-0328.
Majstorovic V., Jankovic, G., Zivkov, S. and Stojadinovic, S., 2021. Digital Manufacturing in SMEs based on the context of the Industry 4.0 framework – one approach. Procedia Manufacturing, [e-journal] 54, pp.52-57. DOI: 10.1016/j.promfg.2021.07.009.
Majstorovic V.D. and Mitrovic, R., 2019. Industry 4.0 Programs Worldwide. In: L. Monostori, V.D. Majstorovic, S.J. Hu and D. Djurdjanovic, eds., Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing. Springer, Cham. pp.78-99.
Martin, J., Dang, Q.H. and Gremyr, I., 2023. The influence of digitalisation on the role of quality professionals and their practices. Cogent Business & Management, [e-journal] 10(1), 2164162. DOI: 10.1080/23311975.2022.2164162.
Neal, A.D., Sharpe, R.G., van Lopik, K., Tribe, J., Goodall, P., Lugo, H., Segura-Velandia, D., Conway, P., Jackson, L.M., Jackson, T.W. and West, A.A., 2021. The potential of industry 4.0 Cyber Physical System to improve quality assurance: An automotive case study for wash monitoring of returnable transit items. CIRP Journal of Manufacturing Science and Technology, [e-journal] 32, pp.461-475. DOI: 10.1016/j.cirpj.2020.07.002.
Nenadál, J., Vykydal, D., Halfarová, P. and Tylečková, E., 2022. Quality 4.0 Maturity Assessment in Light of the Current Situation in the Czech Republic. Sustainability, [e-journal] 14, 7519. DOI: 10.3390/su14127519.
Park, S.H., Shin, W.S., Park, Y.H. and Lee, Y., 2017. Building a new culture for quality management in the era of the Fourth Industrial Revolution. Total Quality Management & Business Excellence, [e-journal] 28(9-10), pp.934-945. DOI: 10.1080/14783363.2017.1310703.
Powell, D., Eleftheriadis, R. and Myklebust, O., 2021. Digitally Enhanced Quality Management for Zero Defect Manufacturing. Procedia CIRP, [e-journal] 104, pp.1351-1354. DOI: 10.1016/j.procir.2021.11.227.
Prashar, A., 2023. Quality management in industry 4.0 environment: a morphological analysis and research agenda. International Journal of Quality & Reliability Management, [e-journal] 40(3), pp.863-885. DOI: 10.1108/IJQRM-10-2021-0348.
Ramezani, J. and Jassbi, J., 2020. Quality 4.0 in Action: Smart Hybrid Fault Diagnosis System in Plaster Production. Processes, [e-journal] 8(6), 634. DOI: 10.3390/pr8060634.
Rauch, E., 2020. Industry 4.0+: The Next Level of Intelligent and Self-optimizing Factories. In: V. Ivanov et al., eds. Advances in Design, Simulation and Manufacturing III. DSMIE 2020. Lecture Notes in Mechanical Engineering. Cham: Springer. pp.176-186.
Sader, S., Husti, I. and Daróczi, M., 2019. Quality Management Practices in the Era of Industry 4.0. Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie, 35, pp.117-126. DOI: 10.17512/znpcz.2019.3.10.
Sader, S., Husti, I. and Daroczi, M., 2021. A review of quality 4.0: definitions, features, technologies, applications, and challenges. Total Quality Management & Business Excellence, [e-journal] 33(9-10), pp.1164-1182. DOI: 10.1080/14783363.2021.1944082.
Schmidt Goecks, L., Santos, A.A. and Korzenowski, A.L., 2020. Decision-making trends in quality management: a literature review about Industry 4.0. Production, [e-journal] 30, e20190086. DOI: 10.1590/0103-6513.20190086.
Schmitt, J., Bönig, J., Borggräfe, T., Beitinger, G. and Deuse, J., 2020. Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing. Advanced Engineering Informatics, [e-journal] 45, 101101. DOI: 10.1016/j.aei.2020.101101.
Silva, C.S., Borges, A.F. and Magano, J., 2022. Quality Control 4.0: a way to improve the quality performance and engage shop floor operators. International Journal of Quality & Reliability Management, [e-journal] 39(6), pp.1471-1487. DOI: 10.1108/IJQRM-05-2021-0138.
Singh, J., Ahuja, I.P.S., Singh, H. and Singh, A., 2022. Development and Implementation of Autonomous Quality Management System (AQMS) in an Automotive Manufacturing using Quality 4.0 – A Case Study. Computers & Industrial Engineering, [e-journal] 168, 108121. DOI: 10.1016/j.cie.2022.108121.
Skalli, D., Charkaoui, A., Cherrafi, A., Garza-Reyes, J.A., Antony, J. and Shokri, A., 2023. Industry 4.0 and Lean Six Sigma integration in manufacturing: A literature review, an integrated framework and proposed research perspectives. Quality Management Journal, [e-journal] 30(1), pp.16-40. DOI: 10.1080/10686967.2022.2144784.
Song, Z., Sun, Y., Wan, J. and Liang, P., 2016. Data quality management for service-oriented manufacturing cyber-physical systems. Computers & Electrical Engineering, [e-journal] 64, pp-34-44. DOI: 10.1016/j.compeleceng.2016.08.010.
Sony, M., Antony, J. and Douglas, J.A., 2020. Essential ingredients for the implementation of Quality 4.0: A narrative review of literature and future directions for research. The TQM Journal, [e-journal] 32(4), pp.779-793. DOI: 10.1108/TQM-12-2019-0275.
Souza, F.F., Corsi, A., Pagani, R.N., Balbinotti, G. and Kovaleski, J.L., 2022. Total quality management 4.0: adapting quality management to Industry 4.0. The TQM Journal, [e-journal] 34(4), pp.749-769. DOI: 10.1108/TQM-10-2020-0238.
Stavropoulos, S., Papacharalampoulos, A., Sabatakakis, K. and Mourtzis, D., 2021. Quality Monitoring of Manufacturing Processes based on Full Data Utilization. Procedia CIRP, [e-journal] 104, pp.1656-1661. DOI: 10.1016/j.procir.2021.11.279.
Sureshchandar, G.S., 2022. Quality 4.0 – understanding the criticality of the dimensions using the analytic hierarchy process (AHP) technique. International Journal of Quality & Reliability Management, [e-journal] 39(6), pp.1336-1367. DOI: 10.1108/IJQRM-06-2021-0159.
Vial, G., 2019. Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, [e-journal] 28(2), pp.118-144. DOI: 10.1016/j.jsis.2019.01.003.
Zonnenshain, A. and Kennett, R.S., 2020. Quality 4.0—the challenging future of quality engineering. Quality Engineering, [e-journal] 32(4), pp.614-626. DOI: 10.1080/08982112.2019.1706744.
Zulqarnain, A., Wasif, M. and Iqbal, S.A., 2022. Developing a Quality 4.0 Implementation Framework and Evaluating the Maturity Levels of Industries in Developing Countries. Sustainability, [e-journal] 14(18), 11298. DOI: 10.3390/su141811298.
Authors
Jokovic, Z., Jankovic, G., Jankovic, S., Supurovic, A., & Majstorović, V. (2023). Quality 4.0 in Digital Manufacturing – Example of Good Practice. Quality Innovation Prosperity, 27(2), 177–207. https://doi.org/10.12776/qip.v27i2.1870
This work is licensed under a Creative Commons Attribution 4.0 International License.