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In Supply Chain Forecasting and Planning, you will learn the basics of supply chain planning. You will explore the role of forecasting and practice the exponential smoothing, adaptive smoothing, moving average, and regression analysis techniques. You’ll also take a deep dive into life cycle modeling in the supply chain.
Understanding the fundamental aspects of supply chain planning enables companies to balance their supply with consumer demand. By gaining a basic understanding of the role of forecasting, you can position your company to understand how much product is needed at the right time to service customers. Forecasting methods such as exponential smoothing, adaptive smoothing, moving average, and regression analysis empower you to make informed, data driven decisions based on predictive models tailored to your type of product. With additional tools such as life cycle modeling, it’s easy to understand what phase of growth or decline your product is in and how to plan for that within your supply chain network.
You will learn the basics of supply chain planning, explore the role of forecasting, practice forecasting techniques such as exponential smoothing, adaptive smoothing, moving average, and regression analysis, and take a deep dive into life cycle modeling in the supply chain.
The course covers exponential smoothing, adaptive smoothing, moving average, and regression analysis.
Life cycle modeling is presented as a tool to understand what phase of growth or decline your product is in and how to plan for that within your supply chain network.
This course supports skills in critical thinking, problem solving, data analysis, and risk management.
Lessons include an introduction, the basics of supply chain planning, the role of forecasting in supply chain planning, exponential smoothing, adaptive smoothing, moving average, regression analysis, life cycle modeling, and a knowledge test.