2015 QPRC

Process optimization through Taguchi Design: A Case of Jute Mill

Koilakuntla Maddulety,Vishal Singh Patyal, Sachin Modgil
National Institute of Industrial Engineering (NITIE), Mumbai, India 400087

Abstract:

Design of experimental (DOE) methodology using Taguchi design was applied to spreader process optimization for minimization of % coefficient of variation (CV)% and to identify the best parameter setting for CV% minimization’ of spreader process. Hence the objective of this study is to minimize CV% and ranking the factors on the basis of delta values.

After brainstorming with concerned executive of spreader process, the author has considered the four factors viz. Morah Weight, Feed Rate per Minute, Pinning Level, Emulsion rate each at three levels for the ‘% CV minimization at spreader process. In this study author has used L9 Taguchi Design for experimentation with the help of Minitab software accordingly the experiment has been conducted and analyzed with the help of Minitab software to arrive optimal setting and predicted values for optimal setting. The means and signal to noise ratio are predicted for optimal setting of spreader process, are validated by producing 20 batches of the spreader process with the optimum setting of experiments. It was observed that established model is in near agreement with the experimental results.

The CV% reduced from 18% to 11.2% which led to improved quality of sliver and yarn which in-turn resulted reduction in breakdowns and rejection of yarn and fabric due to unevenness and strength.
 

KeyWords: Factors, ‘percentage cofficient of variation’ (%CV), Factor Levels, Main-Effect plots for Means, Main Effect plots for SN ratio.