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 7P

Sales for the past 12 months at Computer Success are given here. Chapter 8, Problem 7P, Sales for the past 12 months at Computer Success are given here. Use a 3-month moving average to

  1. Use a 3-month moving average to forecast the sales for the months May through December.
  2. Use a 4-month moving average to forecast the sales for the months May through December.
  3. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend?
  4. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend?
  5. Compare the performance of the two method by using the mean squared error as the performance criterion. Which method would you recommend?

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Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next month. Remember to select the forecasting technique that produces the forecast error nearest to zero. For example: a. Naïve Forecast is 230 and the Forecast Error is -15. b. 3-Month Moving Forecast is 290 and the Forecast Error is -75. c. Exponential Smoothing Forecast for .2 is 308 and the Forecast Error is -93. d. Exponential Smoothing Forecast for .5 is 279 and the Forecast Error is -64. e. Seasonal Forecast is 297 and the Forecast Error is -82. The forecast for the next month would be 230 as the Naïve Forecast had the Forecast Error closest to zero with a -15. This forecasting technique was the best performing technique for that month. You do not need to do any external analysis-the forecast error for each strategy is already calculated for you in the tables below. Naïve Month Period Actual Demand Naïve Forecast Error 3- Month Moving Forecast 3- Month Moving…
Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…
Use the internet to obtain crash safety ratings for passenger vehicles. Then, answer thesequestions:a. Which vehicles received the highest ratings? The lowest ratings?b. How important are crash-safety ratings to new car buyers? Does the degree of importancedepend on the circumstances of the buyer?c. Which types of buyers would you expect to be the most concerned with crash-safety ratings?d. Are there other features of a new car that might sway a buyer from focusing solely on crashsafety? If so, what might they be?

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

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