Construction of Fuzzy Mean using Standard Deviation ( Χ – S ) Control Chart with Process Capability
R. Dilipkumar1, C. Nanthakumar2
1R.Dilipkumar, Associate Professor, Statistics, Salem Sowdeswari College, Tamilnadu, India.
2C. Nanthakumar, Associate Professor & Head, Salem Sowdeswari College, Tamilnadu, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5390-5396 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7615118419/2019©BEIESP | DOI: 10.35940/ijrte.D7615.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Quality has established over a number of points such as inspection, quality control, quality assurance, and total quality control and the effects produced by the above phases are used to check and develop the production/service procedure. Statistical process control (SPC) is a powerful collection of problem solving tools valuable in attaining process steadiness and enlightening capability through the decline of variability. Fuzzy set theory is a utilitarian tool to succeed the uncertainty environmental circumstances and the Fuzzy control limits provide a more accurate and flexible rating than the traditional control charts. The purpose of this research article is to construct the fuzzy mean using standard deviation ( X S ) control chart with the assistance of process capability.
Keywords: Fuzzy Control Charts, Fuzzy Midrange, Statistical Process Control and Trapezoidal Fuzzy Numbers.
Scope of the Article: Signal Control System & Processing.