Search Results

Making good decisions requires the ability to analyze data in straightforward, direct ways that produce high integrity results. This course requires students to apply the decision support models that are most frequently used in supply chain applications. Quantitative and statistical methods for decision making, hypothesis testing, regression and correlation analysis, forecasting, linear programming, and decision analysis will be explored. Specific case studies requiring data modeling and analysis will be used to demonstrate the use of the tools presented, requiring students to apply the tool correctly, not simply learn about it.