Enhance Operational Efficiency of Manufacturing Process Using Six Sigma in Small Scale Manufacturing Industry: DMAIC Approach

Narender Kumar (1), Raj Kumar (2)
(1) 2Amity University Guragaon, Amity Education Valley Gurgaon, Manesar, Panchgaon, Haryana 122412, India
(2) 2Amity University Guragaon, Amity Education Valley Gurgaon, Manesar, Panchgaon, Haryana 122412, India
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Narender Kumar, & Raj Kumar. (2024). Enhance Operational Efficiency of Manufacturing Process Using Six Sigma in Small Scale Manufacturing Industry: DMAIC Approach. International Journal of Advanced Science Computing and Engineering, 6(3), 116–120. https://doi.org/10.62527/ijasce.6.3.192
An effective framework for driving process enhancement and boosting operational efficiency in the manufacturing sector has developed as the Six Sigma DMAIC approach. Focusing on its capacity to methodically detect and resolve process inefficiencies, minimise defects, and optimise performance, this article investigates the implementation for Six Sigma DMAIC concepts in manufacturing. According to the research, it's crucial to set precise objectives for each project and measure success based on those goals in order to implement focused improvement efforts at the manufacturing plant The importance of data-driven decision-making, stakeholder participation, and a culture of continuous improvement in generating sustainable outcomes is highlighted in the article via a thorough analysis of the four DMAIC phases—Define, Measure, Analyse, Improve, and Control. In order to successfully apply DMAIC, the results highlight the need of leadership buy-in, employee agency, and cross-functional cooperation. In today's fast-paced manufacturing industry, staying ahead of the competition is crucial. To achieve continuous improvement, customer satisfaction, & long-term success, manufacturing organisations must embrace the Six Sigma DMAIC concepts.

“A comprehensive study of barriers to implementation of Green Supply Chain Management in SMEs,” Journal of Xidian University, vol. 14, no. 6, Jun. 2020, doi: 10.37896/jxu14.6/090.

S. M. M. I. B. M.E. Kabir, “Productivity improvement by using Six-Sigma,” Int. J. Eng. Technol., vol. 3, no. 12, pp. 1056–1085, 2013.

A. C.R. and J. J. Thakkar, “Application of Six Sigma DMAIC methodology to reduce the defects in a telecommunication cabinet door manufacturing process,” International Journal of Quality & Reliability Management, vol. 36, no. 9, pp. 1540–1555, Oct. 2019, doi: 10.1108/ijqrm-12-2018-0344.

H. Tannady and F. Jiddan, “The Application of Six Sigma Framework (Define-Measure-Analyse-Improve-Control) to Improve Product Quality in Water Dispenser Manufacturing Company,” Jurnal Sistim Informasi dan Teknologi, pp. 7–12, Feb. 2024, doi: 10.60083/jsisfotek.v6i1.339.

N. Mohamad, S. Ahmad, H. A. Samat, C. K. Seng, and F. M. Lazi, “The Application of DMAIC to Improve Production: Case Study for Single-Sided Flexible Printed Circuit Board,” IOP Conference Series: Materials Science and Engineering, vol. 530, no. 1, p. 012041, Jun. 2019, doi: 10.1088/1757-899x/530/1/012041.

I. Daniyan, A. Adeodu, K. Mpofu, R. Maladzhi, and M. G. Kana-Kana Katumba, “Application of lean Six Sigma methodology using DMAIC approach for the improvement of bogie assembly process in the railcar industry,” Heliyon, vol. 8, no. 3, p. e09043, Mar. 2022, doi: 10.1016/j.heliyon.2022.e09043.

A. Mittal, P. Gupta, V. Kumar, A. Al Owad, S. Mahlawat, and S. Singh, “The performance improvement analysis using Six Sigma DMAIC methodology: A case study on Indian manufacturing company,” Heliyon, vol. 9, no. 3, p. e14625, Mar. 2023, doi: 10.1016/j.heliyon.2023.e14625.

M. H. Sajjad et al., “Waste reduction of polypropylene bag manufacturing process using Six Sigma DMAIC approach: A case study,” Cogent Engineering, vol. 8, no. 1, Jan. 2021, doi: 10.1080/23311916.2021.1896419.

R. S. Peruchi, P. Rotela Junior, T. G. Brito, A. P. Paiva, P. P. Balestrassi, and L. M. Mendes Araujo, “Integrating Multivariate Statistical Analysis Into Six Sigma DMAIC Projects: A Case Study on AISI 52100 Hardened Steel Turning,” IEEE Access, vol. 8, pp. 34246–34255, 2020, doi: 10.1109/access.2020.2973172.

A. Boon Sin, S. Zailani, M. Iranmanesh, and T. Ramayah, “Structural equation modelling on knowledge creation in Six Sigma DMAIC project and its impact on organizational performance,” International Journal of Production Economics, vol. 168, pp. 105–117, Oct. 2015, doi: 10.1016/j.ijpe.2015.06.007.

P. Tsarouhas and N. Sidiropoulou, “Application of Six Sigma methodology using DMAIC approach for a packaging olives production system: a case study,” International Journal of Lean Six Sigma, vol. 15, no. 2, pp. 247–273, May 2023, doi: 10.1108/ijlss-06-2022-0140.

N. Kumar, G. Kumar, and R. K. Singh, “Big data analytics application for sustainable manufacturing operations: analysis of strategic factors,” Clean Technologies and Environmental Policy, vol. 23, no. 3, pp. 965–989, Jan. 2021, doi: 10.1007/s10098-020-02008-5.

X. Zu, L. D. Fredendall, and T. J. Douglas, “The evolving theory of quality management: The role of Six Sigma,” Journal of Operations Management, vol. 26, no. 5, pp. 630–650, Feb. 2008, doi: 10.1016/j.jom.2008.02.001.

M. Gupta, A. Digalwar, A. Gupta, and A. Goyal, “Integrating Theory of Constraints, Lean and Six Sigma: a framework development and its application,” Production Planning & Control, vol. 35, no. 3, pp. 238–261, May 2022, doi: 10.1080/09537287.2022.2071351.

R. Ben Ruben, S. Vinodh, and P. Asokan, “Implementation of Lean Six Sigma framework with environmental considerations in an Indian automotive component manufacturing firm: a case study,” Production Planning & Control, vol. 28, no. 15, pp. 1193–1211, Jul. 2017, doi: 10.1080/09537287.2017.1357215.

V. Arumugam, J. Antony, and M. Kumar, “Linking learning and knowledge creation to project success in Six Sigma projects: An empirical investigation,” International Journal of Production Economics, vol. 141, no. 1, pp. 388–402, Jan. 2013, doi: 10.1016/j.ijpe.2012.09.003.

N. Kumar, G. Kumar, and R. K. Singh, “Prioritization of Functional Areas in Manufacturing Sector for BDA Application,” Emerging Trends in Mechanical and Industrial Engineering, pp. 467–476, 2023, doi: 10.1007/978-981-19-6945-4_34.

A. Mittal and P. Gupta, “An Empirical Study on Enhancing Product Quality and Customer Satisfaction Using Quality Assurance Approach in an Indian Manufacturing Industry,” International Journal of Mathematical, Engineering and Management Sciences, vol. 6, no. 3, pp. 878–893, Jun. 2021, doi: 10.33889/ijmems.2021.6.3.052.

H. Erbiyik and M. Saru, “Six Sigma Implementations in Supply Chain: An Application for an Automotive Subsidiary Industry in Bursa in Turkey.,” Procedia - Social and Behavioral Sciences, vol. 195, pp. 2556–2565, Jul. 2015, doi: 10.1016/j.sbspro.2015.06.447.

D. Oliveira, L. Teixeira, and H. Alvelos, “Integration of Process Modeling and Six Sigma for defect reduction: A case study in a wind blade factory,” Procedia Computer Science, vol. 232, pp. 3151–3160, 2024, doi: 10.1016/j.procs.2024.02.131.

A. Prashar, “Adoption of Six Sigma DMAIC to reduce cost of poor quality,” International Journal of Productivity and Performance Management, vol. 63, no. 1, pp. 103–126, Jan. 2014, doi: 10.1108/ijppm-01-2013-0018.

L. Leathers, “Customer Satisfaction and Retention Improves with Six Sigma,” Customising Stakeholder Management Strategies, pp. 101–116, doi: 10.1007/3-540-31319-2_8.

Y. H. Kwak and F. T. Anbari, “Benefits, obstacles, and future of six sigma approach,” Technovation, vol. 26, no. 5–6, pp. 708–715, May 2006, doi: 10.1016/j.technovation.2004.10.003.

N. Kumar, G. Kumar, and R. K. Singh, “Big data analytics application for sustainable manufacturing operations: analysis of strategic factors,” Clean Technologies and Environmental Policy, vol. 23, no. 3, pp. 965–989, Jan. 2021, doi: 10.1007/s10098-020-02008-5.

J. Antony, E. V. Gijo, V. Kumar, and A. Ghadge, “A multiple case study analysis of Six Sigma practices in Indian manufacturing companies,” International Journal of Quality & Reliability Management, vol. 33, no. 8, pp. 1138–1149, Sep. 2016, doi: 10.1108/ijqrm-10-2014-0157.