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Studies on the Reduction of Coefficient of Variation: A Case Study

Summary: [This abstract is based on the author's abstract.]In a spinning mill, linear density expressed in terms of count is an important characteristic of yarn. Variability of the textile strands increases as linear density increases, resulting in lower productivity and poor quality of the finished product. Variability in count is often measured in terms of coefficient of variation percent (CV%), and possible sources are many. When the CV% of count is inflated due to machine variation, the inflation may not be detected using conventional methods. A case study demonstrates that a step-by-step analysis of linear densities of different state-outputs using nested design models with the multiple range test can detect all possible sources of a high CV% count.

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  • Topics: Design of Experiments
  • Keywords: Analysis of ranges,Analysis of variance (ANOVA),Case study,Nested experiments,Textile and needle trades,Variation
  • Author: Gauri, Susanta Kumar
  • Journal: Quality Engineering