Day 1	Time	Instructor-led Hands-on Workshop
	8:30	Registration
	9:00 AM	Part 1 - Demand Forecasting in the Supply Chain What is Demand Forecasting? Demand Forecasting and the evolution of the supply chain Who will use the forecast and what are their data needs? Demand Forecasting as a structured process - the PEER model
		Workshop 1: How to Quantify Drivers of Demand for Products and Services
		Part II - Framing the Demand Forecasting Job Data exploration - learning from actual examples Judging the quality of data Dealing with unusual events and outliers
		Coffee/Tea Break
		Part II - Framing the Demand Forecasting Job(Continued) What are forecasting models? Quantitative vs. qualitative approaches Evaluating forecasts and forecasting models Demand integration and reconciling the final forecast
		Computer Workshop 2: Exploring Trend and Seasonal Variation in Time Series. Cases: Ice Cream and Tourism Industry
		Part III - How To Use Components of a Time Series Moving averages for smoothing kinks out of data Contrasting between centered and uncentered moving averages What is the Ratio-to-Moving Average (RMA) method? Creating additive and multiplicative seasonal factors Creating projections with a decomposition technique
		Readout of Workshops 1 and 2
	PM	Lunch
		Computer Workshop 3: Creating Projections with the RMA Decomposition Technique. Cases: Automobile and Energy Industry
		Part IV - Forecasting With Exponential Smoothing Models Why use Naive forecasting techniques Types of smoothing weights Forecasting profiles for exponential smoothing Applying univariate time series techniques Handling special events with exponential smoothing models Creating scenario forecasts Product life cycle and technique selection
		Computer Workshop 4: Forecasting With Short-term Forecasting Models. Cases: Ice Cream and Tourism Industry
		Coffee/Tea Break
		Computer Workshop 4 (cont'd):  Creating Rolling Forecasts with Hold-out Samples
		Readout of Workshops 3 and 4
Day 2
	8:30 AM	Recap of Day 1
		Part V -   Measuring Forecast Accuracy Basis of accuracy measurement: bias and precision Forecasting errors vs. forecasting accuracy Goodness of fit vs. forecasting performance Costs of inaccurate forecasts Waterfall charts and accuracy measurement
		Computer Workshop 5:  Root Cause Analysis and Exception Reporting. Case: Motorcycle Industry
		Coffee/Tea Break
		Part VI - Tracking Tools for Forecast Process Improvement Ladder charts for monitoring forecast model results Prediction-realization diagram and the business cycle Prediction intervals for time series forecasts Creating tracking signals - Trigg's tracking signal
		Computer Workshop 6:  Creating a Time-phased Order Forecast for Customer Replenishment Planning
		Readout of Workshops 5 and 6
	PM	Lunch
		Part VII - Practical Uses of Forecasting Modeling Marketing - advertising and promotion planning Sales - pricing and easticities Operations -  safety stock and inventory planning Finance - rolling forecasts for budgeting
		Workshop 7: A Simulated Forecasting Work Cycle - Case: Consumer Electronics Industry
		Coffee/Tea Break
		Workshop 7 (cont'd)
		Part VIII - Implementing a Forecasting and S&OP Process Successful implementation strategies Integration with the supply chain Sales & Operations (S&OP) planning Best-in-breed demand management
		Review and Open Questions Workshop Takeaways Closing Remarks