OPERATIONS AND SUPPLY CHAIN MANAGEMENT
OPERATIONS AND SUPPLY CHAIN MANAGEMENT
9th Edition
ISBN: 9781119448037
Author: Russell
Publisher: WILEY
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Chapter 12, Problem 1P

The Hartley-Davis motorcycle dealer in the Minneapolis–St. Paul area wants to be able to forecast accurately the demand for the Roadhog Super motorcycle during the next month. From sales records, the dealer has accumulated the data in the following table for the past year.

Chapter 12, Problem 1P, The Hartley-Davis motorcycle dealer in the MinneapolisSt. Paul area wants to be able to forecast

  1. a. Compute a three-month moving average forecast of demand for April through January (of the next year).
  2. b. Compute a five-month moving average forecast for June through January.
  3. c. Compare the two forecasts computed in parts (a) and (b) using MAD. Which one should the dealer use for January of the next year?
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The Hartley-Davis motorcycle dealer in the Minneapolis– St. Paul area wants to be able to forecast accurately the de-mand for the Roadhog Super motorcycle during the next month. From sales records, the dealer has accumulated thedata in the following table for the past year. a. Compute a three-month moving average forecast ofdemand for April through January (of the next year).b. Compute a five-month moving average forecast forJune through January.c. Compare the two forecasts computed in parts (a) and(b) using MAD. Which one should the dealer use forJanuary of the next year? Month Motorcycle SalesJanuary 9February 7March 10April 8May 7June 12July 10August 11September 12October 10November 14December 16
Daily high temperatures in St. Louis for the lastweek were as follows: 93, 94, 93, 95, 96, 88, 90 (yesterday).a) Forecast the high temperature today, using a 3-day movingaverage.b) Forecast the high temperature today, using a 2-day movingaverage.c) Calculate the mean absolute deviation based on a 2-daymoving average.d) Compute the mean squared error for the 2-day movingaverage.e) Calculate the mean absolute percent error for the 2-daymoving average.
a. Use a 3-month moving average to estimate the month-in-advance forecast of demand for months 4–12 and generate a forecast for the first month of next year. Calculate the average forecast error and mean absolute error. b.   Use a 3-month weighted moving average with weights of 0.6, 0.3, 0.1 (most recent to least recent, respectively) to calculate month-in-advance forecasts for months 4–12 and forecast for the first month of next year. Calculate the average forecast error and mean absolute error. c.   Compare the average forecast error and MAD for the forecasting methods in parts a and b. Based on these error calculations, which of the two forecast methods would you recommend? Why?

Chapter 12 Solutions

OPERATIONS AND SUPPLY CHAIN MANAGEMENT

Ch. 12 - In the chapter examples for time series methods,...Ch. 12 - What effect on the exponential smoothing model...Ch. 12 - How does adjusted exponential smoothing differ...Ch. 12 - What determines the choice of the smoothing...Ch. 12 - How does the linear trend line forecasting model...Ch. 12 - Of the time series models presented in this...Ch. 12 - What advantages does adjusted exponential...Ch. 12 - Describe how a forecast is monitored to detect...Ch. 12 - Explain the relationship between the use of a...Ch. 12 - Selecting from MAD, MAPD, MSE, E, and E, which...Ch. 12 - What is the difference between linear and multiple...Ch. 12 - Define the different components (y, x, a, and b)...Ch. 12 - A company that produces video equipment, including...Ch. 12 - The Hartley-Davis motorcycle dealer in the...Ch. 12 - The manager of the I-85 Carpet Outlet needs to be...Ch. 12 - The LawnPlus Fertilizer Company distributes...Ch. 12 - Graph the demand data in Problem 12.3. Can you...Ch. 12 - The chairperson of the department of management at...Ch. 12 - The manager of the Excom Service Station wants to...Ch. 12 - The Intrepid mutual fund of growth stocks has had...Ch. 12 - The Oceanside Hotel is adjacent to City Coliseum,...Ch. 12 - Mary Hernandez has invested in a stock mutual fund...Ch. 12 - Globetron manufactures components for use in small...Ch. 12 - The Bee Line Caf is well known for its popular...Ch. 12 - For the demand data in Problem 12.11, develop a...Ch. 12 - Develop a seasonally adjusted forecast for the...Ch. 12 - Backstreets Pizza delivery service has randomly...Ch. 12 - The Willow River Mining Company mines and ships...Ch. 12 - The Great Northwest Outdoor Company is a catalog...Ch. 12 - Townside Food Vending operates vending machines in...Ch. 12 - The town aquatic center has an indoor pool that...Ch. 12 - Develop an adjusted exponential smoothing forecast...Ch. 12 - During the past five months the emergency room at...Ch. 12 - At its craft store and through its website, the...Ch. 12 - A group of business students at Tech organized a...Ch. 12 - Temco Industries has developed a forecasting model...Ch. 12 - Monitor the forecast in Problem 12.23 for bias...Ch. 12 - Develop a statistical control chart for the...Ch. 12 - Monitor the adjusted exponential smoothing...Ch. 12 - Develop an exponential smoothing forecast with =...

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