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Process Improvement of Fiber Glass Industry

Volume 13, Number 1, January 2017 - Paper 2 - pp. 19-28
DOI: 10.23940/ijpe.17.01.p2.1928


1Agnel Institute of Technology and Design, Assagao, Bardez-Goa, INDIA.

  2Department of Mechanical Engineering, Periyar Maniammai University, Vallam, Thanjavur, Tamilnadu, INDIA
 (Received on September 20, 2016, revised on November 23, 2016)


Six Sigma is a structured, statistical and logical method for process improvement. It primarily focuses on increasing the process capability by reducing process variation. This paper aims to reduce process variation of Chopped Strand Mat (CSM) in a fiber industry in the state of Goa, India. The CSM is used in automobile, aerospace, marine and many other industrial applications as housing or cover shells where strength to weight ratio is important parameter in design. The major critical to quality characteristic of CSM is GSM of fiber, where any variation in GSM of fiber leads to variation in CSM. DMAIC methodology is implemented to optimize the fiber production process and reducing process variation. Critical process parameters have been identified using brainstorming and multi-voting method. Taguchi method of experimental design has been used to identify key factors and their optimal levels. Reduction of variance coupled with an economic analysis has been carried out and reported in the paper.


References: 11

[1].    Erdoğan, A., and Canatan H. Literature Search Consisting of the Areas of Six Sigma's Usage. Procedia-Social and Behavioral Sciences. July 2015; 195: 695-704.

[2].    Singh, A.K., and Khanduja D. Defining Quality Management in Auto Sector: A Six-sigma Perception. Procedia Materials Science. Dec 2014; 5: 2645-2653.

[3].    Pathak, J., and Desai TN. Six Sigma Quality Management Technique–An Overview. Journal of Engineering Research and Studies. Sep 2011; 2(3): 64-72.

[4].    Hekmatpanah, M., Sadroddin M, Shahbaz S, Mokhtari F, and Fadavinia F. Six Sigma Process and its Impact on the Organizational Productivity. World Academy of Science, Engineering and Technology. Jul 2008; 43: 365-369.

[5].    Oguz, C., Kim YW, Hutchison J, and Han S. Implementing Lean Six Sigma: A case study in Concrete Panel Production. Proceedings of IGLC-20, San Diego, CA. Jul 2012.

[6].    Kureková, E. Measurement Process Capability—Trends and Approaches. Measurement Science Review. 2001; 1(1): 43-6.

[7].    Rajvanshi, P.K., and Belokar DR. Improving the Process Capability of a Boring Operation by the Application of Statistical Techniques. International Journal of Scientific & Engineering Research. 2012; 3(5): 1-6.

[8].    Sharma, G.V., and Rao P.S., Process Capability Improvement of an Engine Connecting Rod Machining Process. Journal of Industrial Engineering International. Dec 2013; 9(1): 1-9.

[9].    Kasdekar, D.K., Parashar V, Singh.J and Gour MK. Taguchi Method and ANOVA: An Approach for Selection of Process Parameters of EDM of EN-353 Steel. International Journal of Emerging Technology and Advanced Engineering. 2014; 4(6): 313 – 321.

[10]. Kochure, P.G., and Nandurkar K.N., Taguchi Method and ANOVA: An Approach for Selection of Process Parameters of Induction Hardening of EN8 D steel. International Journal of Advance Research in Science Engineering and Technology. 2012; 1(2): 22-27.

[11]. Roy, R.K. Design of Experiments using the Taguchi Approach: 16 Steps to Product and Process Improvement. John Wiley & Sons, 2001.


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