OEE: Operations Equipment Effectiveness
This project will provide an introduction to the methodology of Six Sigma.
Students will compare the effectiveness of two different assembly processes and identify opportunities for process improvements.
Students will develop a comprehensive technology and data framework that leverages automatic data acquisition at the production line level in the Poptarts Manufacturing Facility, and will aggregates at Line, Production Line, Groups of Lines, and Plant-level to allow predictive analytics and decision making. Students will work on one assembly line: Mechatronic sensor/data array, statistics. Students will learn about the manufacturing and assembly process.
Starting from manufacturing facilities – within the manufacturing environment – leverage PLC / Sensor data to enable autonomous maintenance and key metrics to drive optimal equipment utilization. (Currently: autonomous maintenance – we can predict the repair. Some plants are equipped to receive sensor information and make predictions, others aren’t.)
The framework of the project will be developed jointly by Kellogg Work Systems (KWS) Operations Assets Effectiveness and Autonomous Maintenance Pillars (Charles Collins – technology representative) and Information Technology Business Relationship Manager (Fernando Arroyo) in collaboration with one of the Plant Operations Analyst with Daniel Yousef as primary plant contacts.
Weekly contact with the students will be accountability of Fernando Arroyo (BRM), Wesley Witek (Enterprise Architect), Ken Jewell (Analytics) and Grant Mansfield (team Director) who will coordinate with corporate and plant resources.
Students will work with plant-level data (example, line speed, batch sizes, oven temperature, conveyor belt speeds, check-weighers, case counters, etc.). Submission of data to students will be responsibility of Fernando Arroyo (BRM).