Data Analysis and Decision Making: Process Improvement
2018
Process Improvement individual project for Data Analysis and Decision Making class (MBC 638) at Syracuse University.
Summary:
Used the DMAIC method to define a problem, measure, analyze, improve, and control. Measured Sigma Quality Level, utilized a data stratification tree, and used various statistical techniques to analyze energy usage data. Used Linear Regression to predict how much HVAC usage contributes to overall utility bills. Employed a Moving Range control chart to identify months that were not in control.