Dual Statistical Quality Control Charts with Table of Quality Determinant in Manufacturing Industries
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Date
2019-05
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Information Processing and Communication (IJIPC)
Abstract
Statistical Quality Control (SQC) techniques have been widely recognized as effective approaches for
monitoring both manufacturing and service processes with respect to the use of either variable or
attribute charts in a particular process. In this study, both variable and attribute charts were employed
to evaluate the performance of a manufacturing process. The variables under study are the original
gravity, CO2, PH, dissolved oxygen, real extract, pasteurized unit, colour, alcohol and temperature.
The variable chart, or rather X bar chart), was employed, to obtain the Table of Deterministic Quality
Conformance Status which consequently determined the number of active variables that require close
monitoring for achieving better overall conformance. The attribute chart, or rather P chart, was
eventually constructed for the validation of the process based on the suspected active variables. This
study reveals that the combinatorial based charts provided better process monitoring, once the active
variables that serve as primary quality determinants are properly controlled. This eventually leads to
the conformance of the entire process.
Description
Keywords
Statistical Quality Control, Variable Chart, Attribute Chart, Random Variation, Assignable Variation, CO2 and Alcohol.