Open AccessMULTIVARIATE QUALITY CONTROL WITH APPLICATIONS TO SENSORY DATA
Author(s) -
ENNIS DANIEL M.,
BI JIAN
Publication year - 2000
Publication title -
journal of food quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.568
H-Index - 43
eISSN - 1745-4557
pISSN - 0146-9428
DOI - 10.1111/j.1745-4557.2000.tb00580.x
Subject(s) - multivariate statistics , sensory system , multivariate analysis , quality (philosophy) , set (abstract data type) , control (management) , computer science , statistics , sampling (signal processing) , quality assurance , mathematics , artificial intelligence , operations management , psychology , engineering , computer vision , philosophy , epistemology , filter (signal processing) , cognitive psychology , programming language , external quality assessment
Sensory perceptions of consumer products are generally multivariate. Quality assurance of these products depends on methods that account for multidimensionality. In this paper it is shown how to set multivariate specifications and to use them to establish control charts and acceptance sampling plans for sensory measures of food and beverage products. OC curves describing the operating characteristics of the control charts and the sampling plans are given.