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• date: 14 September 2022
• posted by: voska89

Fundamentals and Examples of Demand Forecasting
What you'll learn
Identify the demand forecasting using different methods and why is it necessary for an organization.
Learn qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey or market research.
Learn fundamentals of exponential smoothing method for forecasting
Calculate forecast using the trend adjusted trend adjusted exponential smoothing method
Calculate forecast using Simple moving average and weighted moving average methods.
Calculate the Mean absolute deviation (MAD), Mean Absolute percent error (MAPE) and tracking signal for these forecasted values.
Requirements
You don't need any perquisites for taking this course
Description
In this course, you will learn the different methods of Demand Forecasting including examples. In this course, you will also learn about the qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey / market research. You will also learn the concepts of how to find out the forecast when the historical data has a trend.This course can be useful for students studying operations management, professionals working in IT industry responsible for the planning and implementation of demand forecasting. There will be 28 lectures in the course covering the main topics of demand forecasting. Following are the lectures that are part of the demand forecasting course- Fundamentals of demand forecasting, Components of demand, Qualitative methods of forecasting, Fundamentals of simple moving average, Fundamentals of weighted moving average, Fundamentals of Exponential smoothing, Value of alpha for exponential smoothing, Fundamentals of trend adjusted exponential smoothing, Fundamentals of Seasonal influence in forecasting using multiplicative seasonal method, Linear regression using Causal relationship forecasting, Fundamentals of Seasonal influence in forecasting and Measurement of Forecasting error using Mean Squared error (MSE), Standard deviation (sigma), Mean absolute deviation (MAD) and Mean absolute percent error (MAPE). This will also covers the examples of each of these topics.
Overview
Section 1: Fundamentals
Lecture 1 Fundamentals of Demand Forecasting
Lecture 2 Components of demand
Lecture 3 Qualitative methods of forecasting
Lecture 4 Simple moving average - Fundamentals
Lecture 5 Weighted moving average - Fundamentals
Lecture 6 Exponential smoothing - Fundamentals
Lecture 7 Value of alpha for exponential smoothing
Lecture 8 Trend adjusted exponential smoothing - Fundamentals
Lecture 9 Seasonal influence in forecasting - Fundamentals
Lecture 10 Measurement of Forecasting error - Part 1
Lecture 11 Measurement of Forecasting error - Part 2
Lecture 12 Measurement of Forecasting error - Part 3
Section 2: Examples of Demand Forecasting
Lecture 13 Simple moving average - Example 1
Lecture 14 Weighted moving average - Example 1
Lecture 15 Simple exponential smoothing - Example 1
Lecture 16 Time series methods - Example 1
Lecture 17 Trend adjusted exponential smoothing - Example 1
Lecture 18 Trend adjusted exponential smoothing - Example 2
Lecture 19 Trend adjusted exponential smoothing - Example 3
Lecture 20 Seasonal influence in forecasting - Example 1
Lecture 21 Seasonal influence in forecasting - Example 2
Lecture 22 Measurement of error MAD - Example 1
Lecture 23 Measurement of error (MAD and MAPE) - Example 2
Lecture 24 Linear regression - Example 1 - Part 1
Lecture 25 Linear regression - Example 1 - Part 2
Lecture 26 Linear regression - Example 2
Lecture 27 Causal relationship forecasting - Example 1
Lecture 28 Causal relationship forecasting - Example 2
The course can be useful for students studying operations management, professionals working in IT or Management industry responsible for optimizing demand forecasting


Homepage

https://www.udemy.com/course/demand-forecasting-m/

   
   
   

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