Operations Management: Processes and Supply Chains (11th Edition)
Operations Management: Processes and Supply Chains (11th Edition)
11th Edition
ISBN: 9780133872132
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Chapter 8, Problem 19P

Create an Excel spreadsheet on your own that can make combination forecasts for Problem 18. Create a combination forecast using all four techniques from Problem 18. Give each technique an equal weight. Create a second combination forecast by using the three techniques that seem best based on MAD. Give equal weight to each technique. Finally, create a third forecast by equally weighting the two best techniques. Calculate CFE, MAD, MSE, and MAPE for the combination forecast. Are these forecasts better or worse than the forecasting techniques identified in Problem 18?

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The purpose of this assignment is to give you an opportunity to create a forecast based on data and interpret the results. You will also gain more practice with Minitab. Forecasting future commodity prices can be important for many production operations. One such commodity is the price of aluminum ($US per metric ton). For this assignment, you are asked to use Minitab to create two forecasts based upon the data provided below. First, create a one period forecast based upon a three month moving average. Second, create a one period forecast based upon exponential smoothing (using a smoothing weight of 0.95). Compare the two forecasts based upon the Mean Absolute Deviation (MAD) measure of accuracy. Interpret your results. The Data: Month Price Jan-18 2,209.73 Feb-18 2,181.79 Mar-18 2,069.24 Apr-18 2,254.69 May-18 2,299.67 Jun-18 2,237.62 Jul-18 2,082.24 Aug-18 2,051.51 Sep-18 2,026.46 Oct-18 2,029.86 Nov-18 1,938.51 Dec-18 1,920.38 Jan-19 1,853.72 Feb-19…
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Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows:      PREDICTED DEMAND Period Demand F1 F2 1 68 61 60 2 75 67 66 3 70 75 70 4 74 69 67 5 69 74 72 6 72 67 78 7 80 74 78 8 78 76 80     Click here for the Excel Data File   a. Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 2 decimal places.)

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Operations Management: Processes and Supply Chains (11th Edition)

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