OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
7th Edition
ISBN: 9780077835439
Author: Roger G Schroeder, M. Johnny Rungtusanatham, Susan Meyer Goldstein
Publisher: McGraw-Hill Education
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Chapter 10, Problem 5P

5-The Yummy Ice Cream Company uses the exponential smoothing method. Last week the forecast was 100.000 gallons of ice cream, and 90.000 gallons was actually sold.

  1. a. Using a α = .1, prepare a forecut for next week.
  2. b. Calculate the forecast using a α = .2 and a α = .3. Which value of a gives the best forecast, assuming actual demand is 95,000 gallons?
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Consider the data below which includes sales data and the forecasts that would have been made using exponential smoothing with a = 0.3. Exp. Smoothing Time Period Sales Forecast 1 90 90 80 90 100 87 4 70 90.9 105 84.6 6. 85 90.7 Report all answers to 1 decimal place. a. Using exponential smoothing with a = 0.3, what is the forecast for time period 7? b. Using the naive value method, what is the forecast for time period 7? c. Using a 3-period moving average, what is the forecast for time period 7?
B). Using exponential smoothing, calculate the forecasts for months 2, 3, 4, 5, and 6. The smoothing constant is 0.2, and the old forecast for month I is 245. Month Actual Demand Forecast Demand 1 260 2. 230 3 225 4 245 5 250 6. C). Given the following average demand for each month, calculate the seasonal indices for each month. Month Average Demand Seasonal Index January 30 February 50 March 85 April 110 May 125 June 245 July 255 August 135 September 100 October 90 November 50 December 30 Total 3 D). Using the data in part A and the seasonal indices you have calculated, calculate expected monthly demand if the annual forecast is 2000 units. Month Seasonal Forecast Index January February March April May June July August September October November December
3. The following tabulations are actual sales of units for 6 months and a starting forecast in January. a. Calculate forecasts for the remaining 5 months using simple exponential smoothing with a = 0.2. b. Calculate MAD for the forecasts. January February March April May June Actual 100 94 106 80 68 94 Forecast 80

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OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)

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