Location

Community Services & Continuing Education - Cairo

Objectives

• 1. Establish a framework for demand forecasting in the supply chain 2. Define, interpret, and visualize major demand forecasting techniques. 3. Identify appropriate accuracy measures for evaluating demand forecasting methods and models

Outcomes

Calculate the accuracy of the request eventExpect the consensusAn error occurredPredictabilityPrediction periods, onReference layer prediction

Course Contents

Part I - The Demand Forecasting Function in the Supply Chain • What is demand forecasting? • Demand Forecasting and the evolution of Supply Chain • Who will use the forecast and what are their data needs? Part II - Framing the Demand Forecasting Function • Data exploration– Learning from actual examples • Judging the quality of data • Handling unusual events and outliers • What are forecasting models? Quantitative vs. qualitative methods • Evaluating forecasts and forecasting models Part III - How to Use Components of a Time Series • Moving averages for smoothing kinks out of data • Seasonal adjustment of time series Part IV – Forecasting with Exponential Smoothing Models • Why use Naïve forecasting techniques? • Types of smoothing weights • Forecasting profiles for exponential smoothing • Applying univariate time series techniques • Handling special events with exponential smoothing models Part V – Measuring Forecast Accuracy • Basis of accurac