APPLICATION OF MULTIVARIATE CONTROL CHART FOR IMPROVEMENT IN QUALITY OF HOTMETAL - A CASE STUDY

APPLICATION OF MULTIVARIATE CONTROL CHART FOR IMPROVEMENT IN QUALITY OF HOTMETAL - A CASE STUDY

Quality of hot metal produced in a blast furnace is affected by multiple variables. Classical Statistical Process Control (SPC) methodologies are non-optimal to monitor and control these multiple variables as the effect of one variable can be confounded with effects of other correlated variables. Fu...

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Bibliographic Details
Main Authors: O. Rama Mohana Rao, K.Venkata Subbaiah, K.Narayana Rao, T. Srinivasa Rao
Format: Article
Language:English
Published: Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2013-12-01
Series:International Journal for Quality Research
Subjects:
Control Chart
Regression Analysis
Statistical Process Control
Univariate
Multivariate
Principal Component Analysis
Correlation
Online Access:http://www.ijqr.net/journal/v7-n4/11.pdf

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