Quality Improvement in Manufacturing Process through SIX SIGMA: A Casw Study of Indian MSME Firm

  • Pallavi Sharma Department of Statistics, Maharishi Dayanand University, Rohtak, Haryana,India
  • Anshu Gupta School of Business, Public Policy and Social Entrepreneurship, Ambedkar University Delhi, India
  • S. C. Malik Department of Statistics, Maharishi Dayanand University, Rohtak, Haryana, India
  • P. C. Jha Department of Operational Research, University of Delhi, Delhi, India

Abstract

The manufacturing sector is instrumental in driving the economic growth of a country. For realizing the potential of the manufacturing sector in economic development and creating employment opportunities, the Government of India has taken several steps to strengthen the manufacturing capabilities in the country. These initiatives envision India to be a global manufacturing hub. Indian manufacturing had to move several miles for the right positioning of its products in the global supply chains. Besides strengthening the logistics and supply chain infrastructure, there is a need to build on global quality standards and innovation culture. With the support of Government initiatives, several manufacturing organizations are focusing on the quality of their products. This study discusses the implementation of a Six Sigma quality improvement project in an Indian MSME organization involved in the production of portable amplifier systems. The study is conducted with the aim to reduce variation in the final fitting of the manufacturing process. The study also illustrates an application of some quality management techniques, such as Fuzzy-AHP, cause and effect analysis, current reality tree, SIPOC analysis and quality control charts in the DMAIC stages.


 

Published
2019-09-04
How to Cite
SHARMA, Pallavi et al. Quality Improvement in Manufacturing Process through SIX SIGMA: A Casw Study of Indian MSME Firm. Yugoslav Journal of Operations Research, [S.l.], v. 29, n. 4, p. 519–537, sep. 2019. ISSN 2334-6043. Available at: <https://yujor.fon.bg.ac.rs/index.php/yujor/article/view/723>. Date accessed: 22 nov. 2024.
Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.