Saka, A.J.Izekor, J.A.Akeyede, IAdeleke, M. O.Adeleke, B. L.2022-11-082022-11-082019-052645-2960(online)https://uilspace.unilorin.edu.ng/handle/20.500.12484/7828Statistical 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.enStatistical Quality Control, Variable Chart, Attribute Chart, Random Variation, Assignable Variation, CO2 and Alcohol.Article