International Journal of Engineering and Modern Technology (IJEMT )
E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 8 NO. 1 2022
Amadi, M., Isaac, O. E. & Nkoi, B.
The research aimed at improving the productivity of palm oil processing plant using total quality control. The data were collected weekly basis from SIAT company limited and analysis using the necessary statistical tools such as mean, standard deviation and range. MATLAB programming software was used in accomplishing the analysis, it was observed that the process capability of the company product was highest on the 10 th month with a value of 7.11, followed by 4 th month with a value of 7.04 and the least on the 5 th month with a value of 5.32. The month 1, 3, 4 and 5 had positive values in their lower control limits. A model was used to determine the reliability of the production machines, it was observed that the best model to boost the reliability of the product was model 1 with yield production rate percentage of 70% and was considered more reliable than model 2 with 60%, model 3 with 50%, model with 40% and model 5 with 30%. It was considered that the total control tool to determine the rate of component A, R A , rate of component B R B , rate of component C R C and the rate product p, R P , with the highest maximum productivity of 0.687954713 approximately 0.7 and when converted to percentage is 70% productivity compared to other models such as model 1,2,3, and 4. It was further considered the functional parameters against year in months, monthly mean, monthly standard deviation and monthly range. The reliability model was simulated, there was positive agreement with manual calculations and simulation results. It was recommended that the 2A, 4B and 1C model arrangement be utilized for palm oil processing company and other related companies.