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COMPUTER CODES AND THEIR APPLICATION ALGORITHM FOR QUALITY CONTROL CHARTS FOR VARIABLES USING MICROCOMPUTERS 1
Author(s) -
WEBB K.S.,
RAO V.N.M.
Publication year - 1987
Publication title -
journal of food processing and preservation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.511
H-Index - 48
eISSN - 1745-4549
pISSN - 0145-8892
DOI - 10.1111/j.1745-4549.1987.tb00051.x
Subject(s) - control chart , statistical process control , microcomputer , quality assurance , computer science , control limits , quality (philosophy) , statistics , product (mathematics) , algorithm , data mining , mathematics , process (computing) , engineering , operations management , telecommunications , chip , philosophy , external quality assessment , geometry , epistemology , operating system
Statistical quality control is the term used for the application of statistical methods to quality assurance programs. These methods involve the collection, analysis, interpretation and presentation of data which aid in the maintenance of the acceptable quality of a product (Powers and Rao 1985). One statistical tool used in quality assurance programs are the control charts for variables. These control charts consist of the average‐range charts and the average‐standard deviation charts. Use of the control charts can help determine whether variability in a product is due to natural variation or assignable causes (Duncan 1952). The objective of this work was to develop a computer algorithm which could accurately calculate and graphically represent the control charts using a microcomputer.