Title: Improvement of process capability analysis through Six Sigma methodology: a case study in the capacitor manufacturing industry

Authors: Ravi Shankar Raman; Yadavalli Basavaraj; Nidhi Singh; Mahender Singh Kaswan; Varun Singhal

Addresses: Department of Mechanical Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India ' Department of Mechanical Engineering, Ballari Institute of Technology and Management, Ballari, India ' KIET Group of Institutions, Delhi-NCR, Ghaziabad, Uttar Pradesh, India ' School of Mechanical Engineering, Lovely Professional University, 144411 Phagwara, Punjab, India ' Department of Mechanical Engineering, GLA University, Mathura, Uttar Pradesh, India

Abstract: Six Sigma implies that process improvement has been an emerging subject among various researchers and industrialists over recent decades. Very few studies have been conducted about the beneficial uses of Six Sigma in the capacitor industry. The industry has embraced the Six Sigma methodology as a business management tool to enhance operational capabilities and lower process faults. The objective of this research is to provide a case study on the application of the Six-Sigma DMAIC technique to reduce the rejection rate of process capability index by optimising the parameters in the capacitor manufacturing industry. This paper focuses on the project's selection and the various steps to be followed during the Six Sigma methodology. During the research, various Six Sigma tools and techniques were successfully applied. The consequences of the literature review show that many industries are unaware of Six Sigma and do not have the resources to fill the required gap. It was found that the application of Taguchi's orthogonal array with Six Sigma was not very familiar among industries for improving process capability. After analysing all the parameters, a substantial improvement in the rejection of OTR and improvement in process capability Cp and Cpk values was found.

Keywords: Six Sigma; Taguchi method; orthogonal array; analysis of variance; ANOVA.

DOI: 10.1504/IJSSCA.2025.145612

International Journal of Six Sigma and Competitive Advantage, 2025 Vol.15 No.3, pp.210 - 233

Received: 06 Jan 2024
Accepted: 31 May 2024
Published online: 09 Apr 2025 *

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