Performance Improvement of a Petroleum Refining Process Using Quality Control
Journal Title: American journal of Engineering Research - Year 2019, Vol 8, Issue 1
Abstract
This study was aimed at applying Quality Control techniques in improving the performance of the production process in a Petroleum Refinery. Multiple Linear Regression analysis was employed to develop a Quality Control mathematical model that will improve the production performance of petroleum refining firms in Nigeria. The Linear Regression adopted consisted of dependent and independent variables: the independent variables were Quality Control indices while the dependent variable was the petroleum refinery production performance. Broad based results revealed that all the independent variables have positive coefficients relating to the production performance of the refinery as one unit change in Benchmarking resulted to 0.194 unit improvement in Production Performance, one unit change in Top Management Commitment resulted to 0.220 unit improvement in Production Performance, one unit change in Six Sigma Practice resulted to 0.224 unit improvement in Production Performance, one unit change in Continuous Quality Improvement resulted to 0.228 unit improvement in Production Performance and one unit change in Training resulted to 0.218 unit improvement in Production Performance. Conclusion and Recommendations were made that, Continuous Quality Improvement, Six Sigma Practice and Top Management Commitment, with their t-values > 1.96 of the Z-statistics used to corroborate the Linear Regression results, are more significant improvement predictors as they contribute better to the Production Performance of petroleum refineries in Nigeria.
Authors and Affiliations
Diamond Erema Joseph, Nkoi Barinyima, Lilly Macaulay Thomas
Keywords
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