Six Sigma Methodology for Analysing & Removing Defects in Plastic Moulding by Injection Moulding Machine
Keywords:
Black spot, Six Sigma, Injection MouldingAbstract
This thesis is all about Six Sigma methodology. Six Sigma is step by step improving technique for a business growth or to create a new business idea. Six Sigma has two methodology but in this thesis DMAIC methodology was considered because DMAIC methodology is used to improve the existing business operation while other methodology is used to create new aims or goals or new product design. In this thesis DMAIC is used in which first the problem of a company is defined by carrying few interview at the company after that the rejection data was asked. The provided data was measured and thoroughly analyzed for rectifying the main defect and the main root cause for that defect. After identifying & Analyzing the defect and the defect cause as well, the improvising state starts. Few Measures were suggested to minimize the defects also few control actions were suggested to ensure that the quality of product should be maintain and to ensure that all corrective measures were following up regularly. This thesis was done on Injection moulding machine in a factory of Nexus Telecom Private limited located at Chhatarpur, New Delhi. Mentioned Injection moulding machine is used for plastic moulding on RF jumpers used in telecom towers. Objective of this case study was to rectify defect and to suggest corrective measures to minimize those defects occurring in plastic moulding on products. The main defect occurring was crack in moulding & dark black spot in moulding. Barrel & screw were cleaned to increase surface finish of plastic moulding and some training programs were also suggested for the technicians using that machine for moulding.
References
2. Sahoo, A.K., Tiwari,M.K.,etal,” Six Sigma based approach to optimize radial forging operation variables,” journal of materials processing technology, vol. 202, p.p.125-136, 2008.
3. Harry, Mikel J. (1988). The Nature of six sigma quality. Rolling Meadows, Illinois: Motorola University Press. p. 25. ISBN 978-1-56946-009-2.
4. Sanders, Doug; & Hild, Cheryl “A discussion of strategies for Six Sigma implementation” Quality Engineering. Vol.12, No.3, 303-309, 2000
5. Coronado, R. B., & Antony, J., 2002, “Critical success factors for the successful implementation of six sigma projects in organizations,” The TQM Magazine, 14(2),92-99.
6. Park, S. H., 2002, “Six sigma for productivity improvement: Korean business corporations,” Productivity Journal, 43(2), 173-183.
7. Kim, Dong Suk (2006). A study on the service quality evaluation of University Library applying the LibQUAL+. Ewha Woman's University Department of Library and Information Science a master's thesis (writteninKorean).
8. Chao-Ton, Su, Chia-Jen, & Chou, 2008, “A systematic methodology for the creation of Six Sigma projects: A case study of semiconductor foundry,” 34(4), 2693-2703.
9. Lee, Seung Young, Yoon Jae Yong Kim, TaeHyum, Sohn, Soyoung, "A strategic Analysis of Korean Engineering Education based on two satisfaction scores", Journal of engineering Education, (April 2007).
10. Xingxing, Zu, Lawrence, D., Fredendall, & Thomas, J., Douglas, 2008, “The evolving theory of quality management: The role of Six Sigma,” Journal of Operations Management, 26(5), 630-650.
11. Yang, Ching-Chow, (2009). “Development of an integrated model of a business excellence system”, Total Quality Management & Business Excellence, 20 (9 10), 931-944.
12. Chun-Chin, Wei, Gwo-Ji, Sheen, Cheng-Ting, Tai, & Kuo-Liang Lee, 2010,"Using Six Sigma to improve replenishment process in a direct selling company," Supply Chain Management: An International Journal, 15(1),-9.
13. Evans, J.R. and Lindsay, W.M. (2002).” The Management and Control of Quality.” 5th edition, Thomson Learning, Stamford, CT.
14. Evans, J.R. and Lindsay, W.M. (2005). “An Introduction to Six Sigma & Process Improvement.” Thomson South-western Publishing Company, Cincinnati, OH.
15. Feigenbaum, A.V. (1983). “Total Quality Control.” 3rded. McGraw-Hill. New York.
16. Hagemeyer, C. and Gershenson, J.K. “Classification and application of problem solving quality tools.” The TQM Magazine. Vol. 18, No. 5,pp. 455-483.
17. Grant, E.L. and Leavenworth, R.S. (1988). “Statistical Quality Control.” 6thedition. McGraw-Hill.
