Temperature System Calibration Process Improvement and Risk Mitigation

Abstract

The project's main objective was to update the software that performed the data collection for the Systems Calibration process. It held the highest priority in the facility's Risk Registry due to the obsolete computers. The software had consistent communication issues with most equipment bottlenecks to the weekly throughput of calibrations. We aimed to fix the compatibility issue, thus removing the process from the Risk Registry, and fixing the communication issues. By fixing the communication issues, we expected the process means to increase. To validate our hypothesis, we performed a Multiple Regression Analysis to identify which equipment being calibrated in this process significantly impacts the process mean. Finally, perform a Hypothesis Test of the Mean for each equipment being calibrated and the population mean using the data collected before the changes as baselines. Courses involved in this study were: Introduction to Instrumentation, Industrial System Automation, Lean and Six Sigma. Key Terms ⎯ Hypothesis Test of Mean, Lean Six Sigma, Metrology, Process Improvement.