Optimal demanding planning and forecasting in distribution-intensive industries is dependent on using the most appropriate forecasting models and methods that best serve the unique dynamics of the environment at a specific moment in time. This white paper outlines the top forecasting models and the specific forecasting requirements and supply chain scenarios that they are best suited for.
Best-fit statistical modeling
Derived modeling
Slow moving parts planning
Attribute-based modeling
Causal event planning
Life cycle planning modeling
Download now to learn what method is most appropriate for your organization's needs and how to leverage them all together to achieve optimal supply chain performance under variable-and dynamic-market conditions.
Topics:
Modeling and Visualization
Supply Chain Management
Supply Chain Optimization
Enterprise Performance management
Information lifecycle management
Software Quality Research Library
