Implementation of DMAIC Six Sigma Principle in Thermoforming for Improving Rate of Production

Authors

  • Akhil Khajuria Department of Mechanical Engineering, NIT Jalandhar, Punjab, India
  • Ankush Raina School of Mechanical Engineering, SMVD University, Katra, 182320, J&K, India
  • Mayur Pratap Singh Department of Mechanical Engineering, NIT Jalandhar, Punjab, India

DOI:

https://doi.org/10.53555/mce.v4i1.366

Keywords:

Six sigma, Thermoforming, characteristics Critical To Quality, DMAIC, Schimdt and Launsby formula

Abstract

Fast processing of plastics for producing disposables is dependent on production rate of a manufacturing process and therefore thermoforming is generally preferred. The technological developments in thermoforming technique have led enhanced control of the process which makes easier to carry out research studies on a thermoforming machine. For achieving a high production rate and high rated quality product, the cyclic control of thermoforming machine must be concrete in order to meet desired standards which further introduce a challenge for researchers. The current endeavor focuses on reducing number of defective pieces which are produced due to miscellaneous reasons in a thermoforming set up. The quality related problems for manufacturing disposable plastic glasses are understood in terms of production quality variables and latter are sorted out by using DMAIC principle of six sigma by performing a series of experiments on the thermoforming set-up.

Downloads

Download data is not yet available.

References

Yang, K., & El-Haik, B. S. (2003). Design for six sigma (pp. 184-186). New York: McGraw-Hill.

Chowdhury, S. (2002). Design for six sigma. Financial Times Prentice Hall.

Mader, D.P., 2002. Design for six sigma. Quality progress, 35(7), p.82.

Antony, J. and Coronado,R.B., 2002. Design for six sigma. Manufacturing Engineer, 81(1), pp.24-26.

Brue, G. and Launs, R.G., 2003. Design for six sigma. McGraw-Hill.

Koch, P.N., Yang, R.J. and Gu, L., 2004. Design for six sigma through robust optimization. Structural andMultidisciplinary Optimization, 26(3-4), pp.235-248.

Pande, P.S., Neuman, R.P. and Cavanagh, R.R., 2000.The six sigma way. McGraw-Hill.

Kwak, Y.H. and Anbari, F.T., 2006. Benefits, obstacles, and future of six sigma approach. Technovation, 26(5),pp.708-715.

Harry, M.J., 1998. Six Sigma: a breakthrough strategy for profitability. Quality progress, 31(5), p.60.

Linderman, K., Schroeder, R.G., Zaheer, S. and Choo, A.S., 2003. Six Sigma: a goal-theoretic perspective. Journal of Operations management, 21(2), pp.193-203.

Sehwail, L. and DeYong, C., 2003. Six Sigma in health care. Leadership in Health Services, 16(4), pp.1-5.

Corn, J.B., 2009. Six sigma in health care. Radiologic technology, 81(1), pp.92-95.

Gaspersz, V. and Fontana, A., 2007. Lean six sigma for manufacturing and service industries. Jakarta: PT Gramedia Pustaka Utama.

Mehrotra, D., 2001. Six sigma in education. Retrieved March, 13, p.2009.

LeMahieu, P.G., LeMahieu, P.G., Nordstrum, L.E., Nordstrum, L.E., Cudney, E.A. and Cudney, E.A., 2017. Six Sigma in education. Quality Assurance in Education, 25(1), pp.91-108.

Stewart, R.A. and Spencer, C.A., 2006. Six‐sigma as a strategy for process improvement on construction projects: a case study. Construction Management and Economics, 24(4), pp.339-348.

Puri, A.K. and Singh, S., Six sigma in project management.

Downloads

Published

2018-01-31

How to Cite

Khajuria, A., Raina, A., & Singh, M. P. (2018). Implementation of DMAIC Six Sigma Principle in Thermoforming for Improving Rate of Production. International Journal For Research In Mechanical & Civil Engineering, 4(1), 13–22. https://doi.org/10.53555/mce.v4i1.366