Abstract
Process and chemical companies have to continually monitor and control their
mixing equipment to ensure that production matches requirements and meets recommended standards
especially in food processing. The oil company in this research faced challenges in meeting
required specifications in some of their batches, prompting the need to look at more efficient ways
to control and monitor the master churn mixer. This paper looks at how intelligent fuzzy logic was
used to automate the production planning and control of the master churn mixer of the margarine
plant. MATLAB 7.12 was used in developing the control algorithm that enabled all the inputs to be
monitored closely before they entered the master churn, while maintaining vegetable oil at 80%,
water at 20% and operating temperature at 38oC. This was enabled by sensors and programmable logic
controllers which monitored all parameters using fuzzy logic to produce margarine of
acceptable quality and standards.