Six Sigma Training and Application: How to Become an Expert?

Document Type : Research

Authors
Roya Darabi 1
Khatereh Papaie 2
1 Full Professor r, Department of Accounting, Islamic Azad University, South Tehran Branch, Tehran, Iran.
2 PhD student in Accounting, Islamic Azad University, South Tehran Branch, Tehran, Iran.
10.22034/smajournal.2025.517209.1012
Abstract
In today’s competitive world, organizations are compelled to adopt modern management approaches in order to survive and achieve sustainable growth. Six Sigma, as a data driven methodology and a tool for continuous improvement, plays a vital role in enhancing quality, productivity, and organizational performance. This study aims to comprehensively examine the dimensions of Six Sigma training and its practical application, outlining the path to becoming a professional Six Sigma expert. Additionally, the study analyzes the role and impact of acquiring Six Sigma competencies on job opportunities and the professional advancement of accountants and financial managers. This research is applied and quantitative in nature, with a statistical population consisting of accountants employed in medium and large companies in Tehran. Simple random sampling was used, with a sample size of 150 participants. Data were collected using a standard Six Sigma questionnaire and semi structured interviews, and analyzed with SPSS software at both descriptive and inferential statistical levels. The validity and reliability of the tools were confirmed through exploratory factor analysis, Cronbach’s alpha coefficient, and expert evaluation. The results indicated that Six Sigma training significantly improves the quality and accuracy of accountants’ performance, enhances their ability to analyze financial data, identifies the root causes of errors, and reduces financial risks. Furthermore, obtaining Six Sigma certifications improves accountants’ job opportunities and professional status both nationally and internationally. The development of a culture of continuous learning, teamwork, and individual accountability was also highlighted as one of the key advantages of this approach.

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Abd Elnaby, Z., Zaher, A., Abdel-Magied, R. K., & Elkhouly, H. I. (2024). Improving plastic manufacturing processes with the integration of Six Sigma and machine learning techniques: a case study. Journal of Industrial and Production Engineering, 41(1), 1-18. http://dx.doi.org/10.1080/21681015.2023.2260384
Alinazhad, A., Mohammadpour, P., & Esfandiari, N. (2009). Evaluation and improvement of production processes using Six Sigma methodology. Modiriat-e Tose’e va Tahavol (Development and Transformation Management), 1(2), 75–84. [in Persian] https://www.sid.ir/paper/205869/fa
Alizadeh Attar, M., & Taghizadeh Herat, A. (2015). A review of models for evaluating readiness to implement management systems. In Proceedings of the 3rd International Conference on New Research in Management, Economics, and Accounting. [in Persian] https://civilica.com/doc/554628/
Altuğ, M. (2023). Application of six sigma through deep learning in the production of fasteners. International Journal of Lean Six Sigma, 14(7), 1376-1402. https://doi.org/10.1108/IJLSS-08-2022-0191
Antony, J., & Karaminas, H. (2016). Critical assessment on the Six Sigma Black Belt roles/responsibilities, skills and training: A global empirical study. International Journal of Quality & Reliability Management, 33(5). https://doi.org/10.1108/IJQRM-08-2014-0106
Arcidiacono, G., Antonacci, A., & Antony, J. (2025). The r-evolution of Lean Six Sigma from Industry 4.0 to Society 5.0: Excellence 5.0. International Journal of Quality & Reliability Management. https://doi.org/10.1108/IJQRM-11-2024-0415
Bagherian, A., Gershon, M., & Swarnakar, V. (2022). Role of employee training on Six Sigma implementation's success: an empirical study. International Journal of Six Sigma and Competitive Advantage, 14(2), 247-278. https://doi.org/10.1504/IJSSCA.2022.124975
Gomaa, A. H. (2025). LSS 4.0: A Conceptual Framework for Integrating Lean Six Sigma and Industry 4.0 for Smart Manufacturing Excellence. Indian Journal of Management and Language (IJML), 5(1), 8-29. http://dx.doi.org/10.54105/ijml.H1810.05010425
Gu, J., Luo, L., Li, C., Ma, S., & Gong, F. (2023). Effects of a modified six-sigma-methodology-based training program on core competencies in rehabilitation nurse specialists. Journal of Korean Academy of Nursing, 53(4), 412-425. https://doi.org/10.4040/jkan.22122
Improta, G., Borrelli, A., & Triassi, M. (2022). Machine learning and lean six sigma to assess how COVID-19 has changed the patient management of the complex operative unit of neurology and stroke unit: a single center study. International Journal of Environmental Research and Public Health, 19(9), 5215. https://doi.org/10.3390/ijerph19095215
Jason, A., Wedmore, J., Okunola, A., & Stacey, T. (2025). The Future of Lean Six Sigma: Innovations and Trends Impacting Engineering Project Management. https://www.researchgate.net/publication/387832410
Kolbusz, P., & Antosz, K. (2024, March). The Implementation of Machine Learning Methods in Six Sigma Projects–A Literature Review. In International Scientific-Technical Conference MANUFACTURING (pp. 56-67). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56467-3_5
Laureani, A., & Antony, J. (2019). Leadership and Lean Six Sigma: a systematic literature review. Total Quality Management & Business Excellence, 30(1-2), 53-81. https://doi.org/10.1080/14783363.2017.1288565
Maged, A., Haridy, S., Awad, M., & Shamsuzzaman, M. (2023). Machine learning aided six sigma: Perspective and practical implementation. IEEE Transactions on Engineering Management, 71, 1519-1530. http://dx.doi.org/10.1109/TEM.2023.3335237
Mirghafouri, S. H., Asadian Ardakani, F., & Sadeghi Arani, Z. (2011). Designing a model for evaluating and selecting Six Sigma improvement projects using artificial neural networks.Pajouhesh dar Modiriat-e Tolide va Amaliat (Research in Production and Operations Management), 2(2), 37–54. [in Persian] https://jpom.ui.ac.ir/article_19773.html
Namifard Tehran, F. (2025). Blockchain technology model in the management accounting unit of manufacturing companies. Strategic Management Accounting, 1(1), 107-138. [in Persian]  
https://doi.org/10.22034/smajournal.2025.513561.1004
Oke, S. A. (2007). Six Sigma: a literature review. South African Journal of Industrial Engineering, 18(2), 109-129. https://hdl.handle.net/10520/EJC46152
Perera, A. D., Jayamaha, N. P., Grigg, N. P., Tunnicliffe, M., & Singh, A. (2021). The application of machine learning to consolidate critical success factors of lean six sigma. IEEE Access, 9, 112411-112424. https://doi.org/10.1109/ACCESS.2021.3103931
Pirayesh Shirazi, P. (2025). Developing Integrated Frameworks for Analyzing the Operational Efficiency of Economic Enterprises Active in Iran’s Capital Market, with Emphasis on Indigenous Cultural and Economic Components. Strategic Management Accounting, 1(1), 18-39. [in Persian]  
https://doi.org/10.22034/smajournal.2025.217545
Sadrabadi, A. N., Ebrahimzadeh Pezeshki, R., Abolghasemi, M., & Ahmadi, S. (2013). The Six Sigma approach to evaluating the quality level of services. Kavosh-haye Modiriat-e Bazargani (Business Management Studies), 5(10), 71–96. [in Persian] https://bar.yazd.ac.ir/article_514.html
Salehi Sadeghiani, J. (2007). Improving time efficiency in service processes using the design of experiments technique in Six Sigma methodology. Motale’at Modiriat San’ati (Industrial Management Studies), 6(15), 167–184. [in Persian] https://jims.atu.ac.ir/article_4433.html
Salih, M. A., Mahmoud, A. H., & Khalaf, B. A. (2020, July). The application of six sigma-supported expert system in construction projects. In IOP Conference Series: Materials Science and Engineering (Vol. 881, No. 1, p. 012168). IOP Publishing. http://dx.doi.org/10.1088/1757-899X/881/1/012168
Singh, S. Vaghela MC, Rathi S, Shirole RL, Verma J, Shaheen, Panigrahi S. (2024) Leveraging AI and Machine Learning in Six-Sigma Documentation for Pharmaceutical Quality Assurance. Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2024 Jul 18; 40: e20240005. https://doi.org/10.62958/j.cjap.2024.005
Sotudeh, R., Haghparast, A. and Hirad, A. (2025). Management Accounting and Resilience Economics Model for Sustainable Development of Manufacturing Companies. Strategic Management Accounting, 1(1), 40-64. [in Persian]
https://doi.org/10.22034/smajournal.2025.511901.1003
Snee, R. D. (2003). Leading Six Sigma: a step-by-step guide based on experience with GE and other Six Sigma companies. Ft Press.
https://www.google.com/books/edition/Leading_Six_Sigma/_BRYIS31iwUC?hl=en&gbpv=0
Sreedharan V, R., Sunder M, V., Madhavan, V., & Gurumurthy, A. (2020). Development of lean six sigma training module: evidence from an emerging economy. International Journal of Quality & Reliability Management, 37(5), 689-710. https://doi.org/10.1108/IJQRM-08-2018-0209
Talashi, F., & Agha Golzadeh, Gh. (2023). Examining Six Sigma for transformation in organizational performance. Nashriyeh Elmi-ye Roykard-haye Pajouheshi Nowin Modiriat va Hesabdari (Scientific Journal of New Research Approaches in Management and Accounting), 7(26), 781–796. [in Persian] https://majournal.ir/index.php/ma/article/view/2270
Tjahjono, B., Ball, P., Vitanov, V. I., Scorzafave, C., Nogueira, J., Calleja, J., ... & Yadav, A. (2010). Six Sigma: a literature review. International Journal of Lean Six Sigma, 1(3), 216-233. https://doi.org/10.1108/20401461011075017  
Uluskan, M., & Karşı, M. G. (2022). Predictive Six Sigma for Turkish manufacturers: utilization of machine learning tools in DMAIC. International Journal of Lean Six Sigma, 14(3), 630-652. http://dx.doi.org/10.1108/IJLSS-02-2022-0046