Data Driven Engineering

"Data Driven Engineering" refers to the use of data to make engineering decisions.  If you aren't using data to make decisions, then you are relying on luck.  Here are the four important  principles of Data Driven Engineering: All data contain variation. This variation is a fact of life. This variation makes all decisions uncertain.  Statistics was invented to help you make the best decisions in the face of uncertainty.  While you certainly don't need to become a Statistician, it would be a good idea for you to learn enough to perform a few simple tests and to be able to talk intelligently with a Statistician.  The workshop, Basic Industrial Statistics is your starting point. The quality of your decisions can be no better than the quality of your data.  The quality of your measurement systems determines the quality of your data. Even very expensive systems in good working order may not provide accurate and/or precise measurements in your situation. You need to perform a Measurement System Analysis to determine if your measurement system is adequate for your uses. If you don't perform this study, or have someone perform it for you, you can be wasting your time measuring noise. The data you collect contain information you need.  You need to collect data that contain the maximum amount of information.  Design of Experiments collects data efficiently to provide the maximum amount of information available to you. You need to monitor your production processes just like you need to monitor your health.  Instead of hoping everything is fine, you can collect data that will tell you the health of your process.  Statistical Process Control helps you monitor your processes, allowing you to detect problems before they become crises. Objective Design of Experiments workshops cover all of these points in a practical manner. You learn to apply these concepts easily in your daily work. We will help you be successful!