Quality Variation Minimizer: A New Approach for Quality Improvement in Textile Industry

Quality Variation Minimizer for Textile Industry

  • Muhammad Amin Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
  • Muhammad Amanullah
  • Atif Akbar
Keywords: coefficient of variation, quality variation minimizer, sigma level, yarn grains quality


The main theme of this research is to introduce a new technique for quality improvement in industries and services environment. The technique is called as quality variation minimizer (QVM), which is used to test and compare product quali ty among multiple data groups, i.e. machines, operators, and material etc. For the significant application, QVM is applied at Card department in spinning industry to determine yarn grains quality by different machines. Then comparison of QVM is made with other already developed techniques, i.e., coefficient variation (CV), sigma level etc. to determine yarn grains quality. From the results determined by t-test and chi square test, it has been found that QVM is an effective method to determine yarn grains quality with sample average near the target/demanded value as well as minimum variation.