The department at a local department store has tracked the sales of a product over the last ten weeks. Forecast demand using exponential smoothing with an alpha of 0.3, and an initial forecast of 30.0 for period 1. a. Calculate the MAD covering periods 2-10. b. Calculate the tracking signal covering periods 2-10. c. What do you recommend? Period (t) Demand (At) 1 24 2 23 3 26 4 36 5 26 6 30 7 32 8 26 9 25 10 28

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The following table shows the actual demand observed over the last 4 years: 1 Year Demand 8 Year Forecast (ES) 1 7.0 Using exponential smoothing with a = 0.30 and a forecast for year 1 of 7.0, provide the forecast from periods 2 through 5 (round your responses to one decimal place). 3 5 Provide the forecast from periods 2 through 5 using the naive approach (enter your responses as whole numbers). Year Forecast (NA) 2 10 2 2 3 4 3 4 4 9 4 5

A store has the following demand figures for the last four years: Year Demand 100 1 150 3 112 4 200 Given a demand forecast for year 2 of 100, a trend forecast for year 2 of 10, an alpha of 0.3, and a beta of 0.2, what is the demand forecast for year 3 using the exponential smoothing with trend method? 128 115 Ⓒ 135 Ⓒ 145

The following table shows the actual demand observed over the last 11 years: Year Demand 1 7 Year Forecast 2 8 2 3 4 3 4 10 4 Using exponential smoothing with a = 0.30 and a forecast for year 1 of 6.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). 3 2 4 5 6 T 8 9 Year 1 Forecast 6.0 Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as whole numbers) 5 12 5 6 7 6 7 8 11 14 7 8 9 10 9 10 10 10 13 11 11 11 8 12 12

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An electrical contractor's records during the last five weeks indicate the number of job requests: Week: Requests: 1 2 3 5 25 27 25 26 27 Click here for the Excel Data File Predict the number of requests for week 6 using each of these methods: a. Naive. Number of requests b. A four-perlod moving average. (Round your answer to 2 decimal places.) Number of requests

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Prepare a graph of the monthly forecasts and average forecast demand for Chicago Paint Corp., a manufacturer of specialized paint for artists. Compute the demand per day for each month (round your responses to one decimal place). Month January February March April May June July August September October November December Choose the correct graph of the forecast demands below. OA Production Days 2222222222 23 19 20 21 20 23 21 20 19 Demand Forecast 950 1,050 1,250 1,350 1,300 1,300 1,250 1,150 1,050 1,000 1,000 950 Demand per Day 325

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