KIPS Transactions on Software and Data Engineering (정보처리학회논문지:소프트웨어 및 데이터공학)

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of the Effectiveness of Big Data-Based Six Sigma Methodology: Focus on DX SS

빅데이터 기반 6시그마 방법론의 유효성 분석: DX SS를 중심으로

  • Received : 2023.10.06
  • Accepted : 2023.12.11
  • Published : 2024.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

Over recent years, 6 Sigma has become a key methodology in manufacturing for quality improvement and cost reduction. However, challenges have arisen due to the difficulty in analyzing large-scale data generated by smart factories and its traditional, formal application. To address these limitations, a big data-based 6 Sigma approach has been developed, integrating the strengths of 6 Sigma and big data analysis, including statistical verification, mathematical optimization, interpretability, and machine learning. Despite its potential, the practical impact of this big data-based 6 Sigma on manufacturing processes and management performance has not been adequately verified, leading to its limited reliability and underutilization in practice. This study investigates the efficiency impact of DX SS, a big data-based 6 Sigma, on manufacturing processes, and identifies key success policies for its effective introduction and implementation in enterprises. The study highlights the importance of involving all executives and employees and researching key success policies, as demonstrated by cases where methodology implementation failed due to incorrect policies. This research aims to assist manufacturing companies in achieving successful outcomes by actively adopting and utilizing the methodologies presented.

지난 수년간 6시그마는 제조업의 주요 혁신 방법론으로, 품질개선과 경비 절감을 위해 사용되었다. 그러나 스마트공장 확산으로 인한 초 단위 데이터 생성 등, 방대한 양의 데이터를 분석하기 어려운 문제와,오랫동안 정착된 형식적 사용으로 인해, 6시그마의 한계가 지적되었다. 6시그마의 한계를 극복하기 위해, 최근에 빅데이터 기반 6시그마 기법이 연구되고 있다. 빅데이터 기반 6시그마는, 6시그마의 강점인 통계적 검증, 수학적 최적화, 높은 해석력과, 빅데이터 분석의 강점인 기계학습을 모두 활용할 수 있다. 그러나, 최근 연구된 빅데이터 기반 6시그마 기법이 제조공정 및 경영 성과에 미치는 영향에 대한 검증은 미비하다. 이러한 이유로 실무에서는, 빅데이터 기반 6시그마 기법에 대한 신뢰성이 높지 않아 제대로 활용하지 못하고 있다. 본 연구에서는, 빅데이터 기반 6시그마인 DX SS의 유효성 분석을 통해 제조공정의 효율성에 미치는 영향을 알아본다. 또한 기업에서 이 기법을 성공적으로 도입 및 정착시키기 위한 핵심 성공 정책을 도출한다. 추가적으로, 성공 정책에 대한 연구 없이 전 임직원의 참여가 수반되지 못한 잘못된 정책으로 방법론이 중단된 사례는, 핵심 성공 정책 연구에 대한 중요성을 보여준다. 제조기업들이 본 연구에서 제시하는 방법론을 적극 도입하고 사용하여 성공적인 성과를 거둘 수 있도록 본 연구가 도움이 되기를 기대한다.

Keywords

Acknowledgement

이 논문은 고려사이버대학교 학술연구비(2년)에 의하여 연구되었음.

References

  1. Y. K. Park, C. H. Yoon, and Y. H. Ryu, "Current situation, issue and development direction of six sigma innovation in korea," Jounal of the Korean Institute of Industrial Engineers, Vol.32, No.4, pp.253-267, 2006. 
  2. S. Jin, "A study on the effects of the success factors of six sigma management on quality performance - Focusing on Kyongbuk area company -," M.S. dissertation, Hanbat National University atDeajeon, Korea, pp.8-10, 2014. 
  3. W. S. Joo, "A case study on the success factors of the 6 sigma innovation in the automotive parts sector," M.A. dissertation,Korea University of Technology &Education at Chungcheong-do, Korea, 2015. 
  4. Y. J. Ahn, "The future of Six Sigma," Journal of the Society of Service Management, Vol.15, No.1, pp.157-172, 2014.  https://doi.org/10.15706/jksms.2014.15.1.008
  5. D. K. Go, "A study on the Methodology for Application of 6 Sigma Based on Big Data - On the case of Process Optimization for Solar Cell -," M.S. dissertation, Hanyang Univercity at Seoul, Korea, pp.1-46, 2018. 
  6. J. M. Go and G. S. Jang, "A six sigma methodology based on data mining, BSC, and BPM," Industrial Innovation Research, Vol.27, No.1, pp.57-83, 2011. 
  7. G. S. Jang, "A six sigma methodology using data mining: A case study of "P" steel manufacturing company," Information System Research, Vol.20, No.3, pp.1-21, 2011.  https://doi.org/10.5859/KAIS.2011.20.3.1
  8. H. T. Kim, "A study on the methodology of quality innovation using big data-based data mining - On the case of display product's defect improvement -," M.A. dissertation, Seokyeong University at Seoul, Korea, 2019. 
  9. S. G. Ko, "New six sigma breakthrough using big data," Creation and Innovation, Vol.12, No.4, pp.115-133, 2019. 
  10. Y. J. Woo, "Manufacturing quality improvement methodologies for big data application," M.S. dissertation, Gachon University at Gyeonggi, Korea, 2019. 
  11. Rose Clency, "Data-driven quality improvement approach to reducing waste in manufacturing," The TQM Journal, Vol.35, No.1, pp.51-69, 2021.  https://doi.org/10.1108/TQM-02-2021-0061
  12. LG Display, "6 Sigma MBB Repair Process (DX SS Methodology)," in Gyeonggi, Korea: LG Display, inc, pp.4-135, 2022. 
  13. I. S. An, "A study on the success factors of six sigma and their implementation performance," M.A. disseration, Paichai University at Daejeon Korea, 2011. 
  14. C. S. Choi, J. S. Le, and W. Y. Yun, "Present and future of six sigma: LG electronics case," Journal of the Korean Institute of Industrial Engineers, Vol.32, No.4, pp.338-346, 2006. 
  15. J. H. Yang and J. G. Yun, "AMOLED defective and reliability," Journal of the Korean Society for Information Display, Vol.8, No.5, pp.11-21, 2007. 
  16. W. S. Joo and D. S. Ha, "The strategy of the product quality optimization through the six sigma," Management Information System Review, No.4, pp.557-570, 2000. 
  17. D. S. Shin, "An empirical study on the major factors of implementing six sigma successfully through blackbelts," Ph.D. dissertation, Dankook University at Gyeonggi, Korea, 2001. 
  18. H. S. Kim, "A study on the effects of the success factors on business performance for six sigma," M.S. dissertation, Nam Seoul University at Chungcheong-do, Korea, 2008.
  19. H. N. Choi, "A study of the impact of six sigma's success factor on service quality improvement: Focused on s telecom company," M.S. dissertation, Dankook at Gyeonggi, Korea, 2009. 
  20. H. H. Park, "A study on the effects of the success factors of six sigma on job satisfaction and quality performance," M.S. dissertation, Ulsan University at Ulsan, Korea, 2013. 
  21. Y. K. Lee, "The effects of six sigma success factors on innovation and business performance - The intervening effect of business innovation capability -," Ph.D. dissertation, Hanyang University at Seoul, Korea, 2015. 
  22. W. J. An, "A study on the effects of the success factors of six sigma on change management activity and business performance," M.A. dissertation, Ulsan University at Ulsan, Korea, 2017. 
  23. M. M. Marco, L. R. Jorg, G. A. Carlos, Diego Tlapa, B. L. Yolanda, and S. L. Hector Antonio, "Measuring critical success factors for six sigma in higher education institutions: Development and validation of a surveying instrument," IEEE ACCESS, No.8, pp.1813-1821, 2020. 
  24. M. Dursun, N. Goker and Hakan Mutlu, "Evaluation of project management methodologies success factors using fuzzy cognitive map method: Waterfall, agile, and lean six sigma cases," International Journal of Intelligent Systems and Applications in Engineering, No.10, pp.35-42, 2022. 
  25. Bruno Muniz Felix, Elaine Tavares and Ney Wagner Freitas Cavalcante, "Critical success factors for Big Data adoption in the virtual retail: Magazine Luiza case study," REVISTA BRASILEIRA DE GESTAO DE NEGOCIOS Review of Business Management, No.20, pp.112-126, 2017. 
  26. A. Wisnuwardhana, A. N. Hidayanto, N. F. A. Budi, I. C. Hapsari, and A. Haidaroh, "Systematic literature review: Critical success factor in the application of data maning", The 8th Engineering International Conference 2019, Journal of Physics: Conference Series, pp.1-8, 2023. 
  27. J. S. Sim, "Critical Success Factors in Data Maning Projects", Ph.D. dissertation, University of North TEXAS at Denton TEXAS, USA, 2003. 
  28. Jayanthi Ranjan and Vishal Bhatnagar, "Critical Success Factors For Implementing CRM Using Data Mining", Journal of Knowledge Management Practice, Vol.9, No.3, pp.1-3, 
  29. A. S. Zaher Ali, Rosni Abdullah and Mohd Heikal Husin, "Critical Success Factors for Big Data : A Systematic Literature Review," IEEE ACCESS, No.8, pp.118940-118955, 2020. 
  30. N. Y. Baek, "A Study on the Failure of Six Sigma Implementation," M.S. dissertation, Kyungnam University at Kyungnam, Korea, 2008.