DOI QR코드

DOI QR Code

품질 4.0: 개념, 요소, 수준 평가와 전개 방향

Quality 4.0: Concept, Elements, Level Evaluation and Deployment Direction

  • 서호진 (경상국립대학교 산업시스템공학부) ;
  • 변재현 (경상국립대학교 산업시스템공학부) ;
  • 김도현 (명지대학교 산업경영공학과)
  • Seo, Hojin (Department of Industrial and Systems Engineering, Gyeongsang National University) ;
  • Byun, Jai-Hyun (Department of Industrial and Systems Engineering, Gyeongsang National University) ;
  • Kim, Dohyun (Department of Industrial Management Engineering, MyongJi University)
  • 투고 : 2021.10.17
  • 심사 : 2021.11.08
  • 발행 : 2021.12.31

초록

Purpose: This article aims 1) to propose Quality 4.0 concept through surveying related literature, 2) to suggest key elements of Quality 4.0 by arranging the elements of Quality 4.0 that appeared in the literature, 3) to determine the levels of Quality 4.0, and 4) to suggest ideas for effective deployment of Quality 4.0. Methods: Eleven papers or documents are reviewed for Quality 4.0 concept; two papers and one document are investigated for key element extraction of Quality 4.0; and smart factory roadmap and industry 4.0 maturity model are studied to determine the levels of Quality 4.0. Results: 1) Quality 4.0 definition is proposed. 2) Three key elements are determined: data acquisition and analytics, connection and integration, and leadership and culture. 3) Six Quality 4.0 levels are determined. 4) Some suggestions are addressed for effective deployment of Quality 4.0. Conclusion: 1) Definition, key elements, levels, and some suggestions on effective deployment of Quality 4.0 are addressed. 2) Specific contents of Quality 4.0 education and training courses should be provided in the future. 3) Two future research directions are proposed.

키워드

과제정보

이 연구는 2020년도 경상대학교 연구년제 연구교수 연구지원비에 의하여 수행되었음

참고문헌

  1. Antony, J., McDermott, O. and Sony, M. 2021. Quality 4.0 Conceptualisation and Theoretical Understanding: A Global Exploratory Qualitative Study. The TQM Journal. https://doi.org/10.1108/TQM-07-2021-0215.
  2. ASQ. 2015. 2015 Future of Quality Report: Quality Throughout. https://asq.org/quality-resources/research/future-of-quality.
  3. ASQ. 2020. Quality Glossary Definition: Quality 4.0. https://asq.org/quality-resources/quality-4-0.
  4. Bok, G. S. and Yu, J. S. 2017. Big Data in the Fourth Industrial Revolution. Communication of Korean Institute of Information Scientists and Engineers 35(6):29-36.
  5. Bowers, K. and Pickerel, T. V. 2019. Vox Populi 4.0: Big Data Tools Zoom in on the Voice of the Customer. Quality Progress 51(10):32-39.
  6. Chong, H. R., Bae, K. H., Lee, M. K., Kwon, H. M., and Hong, S. H. 2020. Quality Strategy for Building a Smart Factory in the Fourth Industrial Revolution. Journal of Korean Society for Quality Management 48(1):87-105. https://doi.org/10.7469/JKSQM.2020.48.1.87
  7. Escobar, C. A., McGovern, M. E., and Morales-Menedez, R. 2021. Quality 4.0: A Review of Big Data Challenges in Manufacturing. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-021-01765-4.
  8. Forero, D. G. and Sisodia, R. 2020. Quality 4.0 - How to Handle Quality in the Industry 4.0 Revolution. Master's thesis, Chalmers University of Technology.
  9. Garimella, P. K. 2018. IT-OT Integration Challenges in Utilities. Proceedings of the IEEE 3rd International Conference on Computing, Communication and Security, Kathumandu, Nepal. 199-204.
  10. Geron, A. 2019. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. 2 nd Ed., O'Reilly Media.
  11. Gokalp, E. and Sener, U. 2017. Development of an Assessment Model for Industry 4.0: Industry 4.0-MM. in Software Process Improvement and Capability Determination (Mas, A., Mesquida, A., D'Connor, R. V., Rout, T., and Dorling A., Eds.) 128-142.
  12. Hall, D. L. and Llinas, J. 1997. An Introduction to Multi Sensor Data Fusion. Proceedings of the IEEE 85(1):6-23. https://doi.org/10.1109/5.554205
  13. Han, E. H. 2020. Measures to Improve Security Vulnerabilities Due to Increased IT and OT Linkages. Review of KIISC 30(5):55-60.
  14. Harry, M. and Schroeder, R. 2000. Six Sigma: The Breakthrough Management Strategy Revolutionizing the World's Top Corporations, Currency, New York, NY.
  15. Jacob, D. 2017. Quality 4.0 Impact and Strategy Handbook. LNS Research. http://blog.Insresearch.com.
  16. Jang, J. M., Seo, S. J., Lee, Y. A., and Kim, Y. S. 2019. A Study on Improving the Quality of Clothing Companies: Focusing on Kutesmart using Quality 4.0 Matrix. Journal of Korean Society for Quality Management 47(1):199-211. https://doi.org/10.7469/JKSQM.2019.47.1.199
  17. Jang, Y. J. 2012. Utilization of Big Data Technology in Manufacturing. Information and Communications Magazine 29(11):30-35.
  18. Javaid, M., Haleem, A., Singh, R. P., and Suman, R. 2021. Significance of Quality 4.0 Towards Comprehensive Enhancement in Manufacturing Sector. Sensor International. https://doi.org/10.1016/j.sintl.2021.100109.
  19. Johnson, S. 2019, Quality 4.0: A Trend within a Trend. Quality Magazine 58(2):21-23.
  20. Joo, H. T. 2017. How to Promote Smart Manufacturing in the Era of the 4th Industrial Revolution. Industrial Engineering Magazine 24(2):30-36.
  21. Jun, S. H. 2008. An Outlier Data Analysis using Support Vector Regression. Journal of Korean Institute of Intelligent Systems 18(6):876-880. https://doi.org/10.5391/JKIIS.2008.18.6.876
  22. Kim, D. H. 2018. Realizing a Failure Rate of 0.001% with a 'Smart Factory' of Digital Production Systems. Kbiz News.
  23. Kim, S. D., Cho, H. C., Kim, C. Y., Yang, T. H., and Kim S. H. 2018. Publish-Subscribe Model Based Efficient Data Acquisition Architecture for Industrial Wireless Sensor Networks. Proceedings of Symposium of the Korean Institute of Communications and Information Sciences 1336-1337.
  24. Kim, Y. and Cho, K. H. 2013. Big Data and Statistics. Journal of the Korean Data & Information Science Society 24(5):959-974. https://doi.org/10.7465/jkdi.2013.24.5.959
  25. Krishnamurthi, R., Kumar, A., Gopinathan, D., Nayyar, A. and Qureshi, B. 2020. An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques. Sensors 20(21):60-76.
  26. Kupper, D., Knizek,, C,. Ryeson, D., and Noecker, J. 2019. Quality 4.0 Takes More Than Technology. http://www.bcg.com.
  27. Kwon, J. W., Song, T. S., and Jo, W. S. 2016. Smart Factory Reference Model Development Trend for Manufacturing Innovation - Focused on RAMI 4.0 in Germany. Magazine of the IEEE of Korea 43(6):51-61.
  28. Lyle, M. 2017. From Paper and Pencil to Industry 4.0: Revealing the Value of Data through Quality Intelligence. Quality Magazine 56(10):25-29.
  29. Marc, M. and Francisco, S. 1984. Abraham Wald's Work on Aircraft Survivability. Journal of American Statistical Association 79:259-267. https://doi.org/10.1080/01621459.1984.10478038
  30. Montgomery, D. C. 2013. Statistical Quality Control. 7th Ed. Wiley.
  31. Ngo, Q. H. and Schmitt, R. H. 2016. A Data-based Approach for Quality Regulation. Procedia CIRP 57:498-503. https://doi.org/10.1016/j.procir.2016.11.086
  32. Park, J. H., Hong, D. G., and Seo, S. H. 2018. Variable Reconfiguration Manufacturing System for Industry 4.0 (RSM4.0). Magazine of the IEEE of Korea 45(6):24-30.
  33. Park, J. P. 2018. Designing and Utilizing a Smart Factory Road Map for CEOs: Leveraging from University-Industry Research Collaboration. Journal of Korean Society of Industry Convergence 21(6):285-299. https://doi.org/10.21289/KSIC.2018.21.6.285
  34. Park, S. H., Shin, W. S., Park, Y. H., and Lee, Y. J. 2017. Building a New Culture for Quality Management in the Era of the Fourth Industrial Revolution. Total Quality Management and Business Excellence 28(1):1-12. https://doi.org/10.1080/14783363.2015.1043881
  35. Pietri, A. 2020. Self-Optimizing Plant: The Age of Autonomy Factories, Led by Industrial AI. Artificial Intelligence Times.
  36. Radziwill, N. 2018. Let's Get Digital. Quality Progress 51(10):24-29.
  37. 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. https://doi.org/10.1080/14783363.2021.1944082.
  38. Shin, D. J., Park, J. H., Kwak. K, J., Park, J. M., and Kim, J. J. 2019. Big Data-Based Sensor Data Processing and Analysis for IoT Environment. Journal of Institute of Internet, Broadcasting and Communication 19(1):117-126. https://doi.org/10.7236/JIIBC.2019.19.1.117
  39. Song, H. C. 2021. Small and Medium Business Big Data Distribution Platform Data Use Cases and Performance. Journal of Institute of Electronics and Information Engineers 48(1):32-36.
  40. 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 32(4):778-793.
  41. Sony, M., Antony, J., Douglas, J. A., and McDermott, O. 2021. Motivations, Barriers and Readiness Factors for Quality 4.0 Implementation: An Exploratory Study. The TQM Journal. https://doi.org/10.1108/TQM-11-2020-0272.
  42. Student. 1931. The Lanarkshire Milk Experiment. Biometrika, 23(3-4):398-406. https://doi.org/10.2307/2332424
  43. Watson, G. H. 2019. The Ascent of Quality 4.0. Quality Progress 52(3):24-30.
  44. Weaver, R. G. and Farrell, J. D. 1999. Managers as Facilitators. Berrett Koehler Publishers, San Francisco, CA..
  45. Wolpert, D. 1996. The Lack of A Priori Distinctions between Learning Algorithms. Neural Computation 8(7):1341-1390. https://doi.org/10.1162/neco.1996.8.7.1341
  46. Youn, B. D., Hwang, T. W., Jo, S. H., Lee, S. H., and Na, G. M. 2017. Diagnosis and Prediction of Engineering System Status Using Artificial Intelligence. Journal of KSME 57(3):38-41.
  47. Yum, B. -J., Seo, S. -K., Yun, W. Y., and Byun, J. -H. 2014. Trends and Future Directions of Quality Control and Reliability Engineering. Journal of Korean Institute of Industrial Engineers 40(6):526-554. https://doi.org/10.7232/JKIIE.2014.40.6.526
  48. Zavadska, Z. and Zavadsky, J. 2018. Quality Managers and Their Future Technological Expectations Related to Industry 4.0. Total Quality Management and Business Excellence 31(7-8):717-741. https://doi.org/10.1080/14783363.2018.1444474
  49. Zonnenshain, A. and Kenett, R. S. 2020. Quality 4.0 - The Challenging Future of Quality Engineering. Quality Engineering 32(4):614-625. https://doi.org/10.1080/08982112.2019.1706744