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.
African Research, R (2021). An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis. Afribary.com: Retrieved April 17, 2021, from https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis
Resources, African Research. "An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis" Afribary.com. Afribary.com, 07 Apr. 2021, https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis . Accessed 17 Apr. 2021.
Resources, African Research. "An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis". Afribary.com, Afribary.com, 07 Apr. 2021. Web. 17 Apr. 2021. < https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis >.
Resources, African Research. "An Investigation Of Contribution Of Input Variables In Product Quality Using Regression Analysis" Afribary.com (2021). Accessed April 17, 2021. https://afribary.com/works/an-investigation-of-contribution-of-input-variables-in-product-quality-using-regression-analysis