Six Sigma-Based X-Bar Control Chart for Continuous Quality Improvement

Ravichandran, Joghee

doi:10.18421/ijqr10.02-02

International Journal for Quality Research; Vol 10 2016

DOI: 10.18421/ijqr10.02-02

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Six Sigma-Based X-Bar Control Chart for Continuous Quality Improvement

Joghee Ravichandran¹

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Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

2022

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The scope of this research is in one of the textile industries with elastic tape produced on the weaving machine, which has decreased production due to production defects that do not meet the target. This research aims to determine the leading causes of dominant defects, increase the sigma level with Six Sigma methods, and propose improvements to be included in the Key Performance Indicators (KPI) method. The results of this study that the dominant factor causing the defect is the curved elastic tape defect, which consists of the machine factor, and the method. Factors driving the machine include the hook like a side thread lock that is often bent and the difference in the thickness of the tape between the left, middle and right. The causative factor of this method is checking the thickness of the elastic band only in the center position. The results of corrective actions impact increasing the sigma level by 10% from 3.3339 to 3.6832. In contrast, repair defects can reduce defects before repair by 18.92% and after repair by 9.23%. It is proposed to be included in the KPI so that the weaving department can control and be enthusiastic about continuous improvement.

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Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

2022

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Performance of Moving Average (MA) Chart Under Three Delta Control Limits and Six Delta Initiatives

Tailor

2019

Math. J. Interdiscip. Sci.

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An SQC chart is a graphical tool for representation of the data for knowing the extent of variations from the expected standard. This technique was first suggested by W.A. Shewhart of Bell Telephone Company based on 3σ limits. M. Harry, the engineer of Motorola has introduced the concept of six sigma in 1980. In 6σ limits, it is presumed to attain 3.4 or less number of defects per million of opportunities. Naik V.D and Desai J.M proposed an alternative of normal distribution, which is named as moderate distribution. The parameters of this distribution are mean and mean deviation. Naik V.D and Tailor K.S. have suggested the concept of 3-delta control limits and developed various control charts based on this distribution. Using these concepts, control limits based on 6-delta is suggested in this paper. Also the moving average chart is studied by using 6-delta methodology. A ready available table for mean deviation is prepared for the quality control experts for taking fast actions.

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Six Sigma-Based X-Bar Control Chart for Continuous Quality Improvement

Cited by 2 publications

References 0 publications

Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

Performance of Moving Average (MA) Chart Under Three Delta Control Limits and Six Delta Initiatives

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