Open AccessConstruction of Fuzzy Mean using Standard Deviation ( X S ) Control Chart with Process Capability
Author(s) -
Ram Kumar,
Chitresh Kumar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7615.118419
Subject(s) - control chart , statistical process control , standard deviation , fuzzy logic , process capability , quality assurance , control limits , \bar x and r chart , control (management) , process (computing) , chart , reliability engineering , quality (philosophy) , computer science , fuzzy set , construct (python library) , engineering , statistics , mathematics , operations management , work in process , artificial intelligence , philosophy , external quality assessment , epistemology , programming language , operating system
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 capabilityThe 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