SCMT 3623: Advanced Inventory Management examines two important aspects of logistics: inventory control and forecasting. In this course, inventory coverage focuses specifically on inventory control methods for stochastic demand and lead times. This course covers a variety of inventory control and forecasting techniques that students will learn to implement in Excel.

Lesson 1: Introduction to Forecasting
Lesson 2: Introduction to time series forecasting
Lesson 3: Forecast accuracy and time series regression
Lesson 4: Exponential Smoothing Methods
Lesson 5: Seasonal cues
Lesson 6: Introduction to Inventory Management
Lesson 7: Inventory Management for Dependent Demand and Independent Demand Items
Lesson 8: Introduction to inventory control for stochastic demand and lead times; Periodic and continuous review systems
Lesson 9: Reorder point model (optimal R,Q model)
Lesson 10: Reorder point model (R,Q managerial model)
Lesson 11: Risk pooling
Lesson 12: Newsboy model

Find more information about the Walton College Department of Supply Chain Management at http://walton.uark.edu/departments/supplychain/

Find more information about Walton College's online degree in supply chain management at http://online.uark.edu/programs/bachelor-science-business-administration-supply-chain-management.php

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