As competitive strategies shift to the area of quality management, this research seeks to predict contributions of input variables to quality outcome. The research was conducted using 7-Up Bottling Company Plc; Aba. Data relevant to the study were secondary data from past company production records. However, observation of manufacturing processes was done in the course of the study to enhance understanding of production and quality control processes. A random sample was analysed into human related input factors, such as education and experience of workers charged with the respective batches. Since these human factors are not quantifiable, surrogate variables were used. The study data were analysed using statistical tool of regression. The result gave rise to a regression formula that relates, inversely, contributions of education and experience to percentage defect. The F-test and t-tests were used to determine the significance of contributions of the variables collectively and individually. The research shows that a mathematical model can be found that relates contributions of input factors which allow adjustment before the actual production so as to achieve desirable outcomes. It is, therefore, recommended that such studies be carried out regularly for planning and scheduling purposes to achieve cost reductions.
Library, T. & UKANDU, P (2021). An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis. Afribary. Retrieved from https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis-1
Library, The Public Access, and PHILIP UKANDU "An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis" Afribary. Afribary, 26 May. 2021, https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis-1. Accessed 05 Oct. 2022.
Library, The Public Access, and PHILIP UKANDU . "An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis". Afribary, Afribary, 26 May. 2021. Web. 05 Oct. 2022. < https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis-1 >.
Library, The Public Access and UKANDU, PHILIP . "An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis" Afribary (2021). Accessed October 05, 2022. https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis-1