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About OM 337 - Supply Chain Analytics - Gutierrez
This document provides an overview of the OM 337: Supply Chain Analytics course taught in the fall 2017 semester. The key points are: - The course will use business analytics and predictive modeling techniques to build dynamic demand forecasts and optimize supply chain planning decisions. - Students will learn to incorporate historical data, business variables, and economic factors to create more accurate demand forecasts at both aggregate and local levels. - The course will also explore how to shape demand through pricing, promotion, and other strategies and integrate demand management into supply chain optimization. - Students will be evaluated based on individual and team assignments applying course concepts, a midterm exam, and class participation. The assignments involve analyzing real retail sales data to build
Detailed Information
| Author: | ['Kiran K'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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