SCM 4300: Supply Chain Analytics
Credits: 3. Contact Hours: Lecture 3.
Prereq: SCM 3010
Introduces key methods and tools (i.e., analytics) applied to decision making in supply chain practice. Use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions. Descriptive, prescriptive or predictive use activities. Use of software (e.g., R and AnyLogic) to learn key concepts and techniques in analytics and apply those concepts to examples of supply chain decision making. Offered irregularly.
(Typically Offered: Spring)