ProjectX: How a Pet Food Producer Uses Digital Twins & AI to Improve Manufacturing

5 Keys to Leveraging Digital Twins

A major pet food producer’s VP Global Engineering Services and Technical Director join GrayMatter at the 2021 Digital Twins in Manufacturing Conference to discuss how they leverage Advanced Industrial Analytics to reduce scrap and improve first-pass quality.

01 | Deploy Next-Generation Machine Sensors Where Possible

Smart sensors capable of monitoring in-line product quality and other historically hard to measure variables present a huge opportunity to see results from Advanced Industrial Analytics.

02 | Ensure Data Input Quality is High

Moving away from paper- and Excel-based methods of tracking operational data is essential to eliminating human error and achieving a real-time picture of operations.

03 | Don’t Aim for Perfection Right Away

Set initial goals that use Digital Twins to improve on current operations that rely largely on operator inputs, and then keep making progress from there.

04 | Track KPIs, Quantify Results and Make Visible to All

Build buy-in from leadership and operators by being specific about what you’re tracking and why it’s important to track — then share the results with all stakeholders.

05 | Create a Culture Open to Change

Change isn’t easy, but encourage operators to keep an open mind when it comes to integrating production recommendations that come from a machine-learning model that relies on historical data.