OPEARATIONS MANAG.REV CUSTOM 2017
17th Edition
ISBN: 9781323590058
Author: Pearson
Publisher: PEARSON C
expand_more
expand_more
format_list_bulleted
Videos
Textbook Question
Chapter 4, Problem 43P
Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the following table:
- a. Compute the exponentially smoothed
forecast of calls for each week. Assume an initial forecast of 50 calls in the first week, and use α = .2. What is the forecast for week 25? - b. Reforecast each period using α =. 6.
- c. Actual calls during week 25 were 85. Which smoothing constant provides a superior forecast? Explain and justify the measure of error you used.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 45
percent of capacity, actual usage was 52 percent of capacity. A smoothing constant of .05 is used.
a. Prepare a forecast for September. (Round your final answer to 2 decimal places.)
Forecast for September
percent of capacity
b. Assuming actual September usage of 52 percent, prepare a forecast for October usage. (Round your answer to 2 decimal places.)
Forecast for October
percent of capacity
How do you forecast a department or service area such as a pet store
Provide complete and detailed solution
Chapter 4 Solutions
OPEARATIONS MANAG.REV CUSTOM 2017
Ch. 4 - What is a qualitative foretasting model, and when...Ch. 4 - Identify and briefly describe the two general...Ch. 4 - Identify the three forecasting time horizons....Ch. 4 - Briefly describe the steps that are used to...Ch. 4 - A skeptical manager asks what medium-range...Ch. 4 - Explain why such forecasting devices as moving...Ch. 4 - What is the basic difference between a weighted...Ch. 4 - What three methods are used to determine the...Ch. 4 - Research and briefly describe the Delphi...Ch. 4 - What is the primary difference between a...
Ch. 4 - Define time series.Ch. 4 - What effect does the value of the smoothing...Ch. 4 - Explain the value of seasonal indices in...Ch. 4 - Which forecasting technique can place the most...Ch. 4 - In your own words, explain adaptive forecasting.Ch. 4 - What is the purpose of a tracking signal?Ch. 4 - Explain, in your own words, the meaning of the...Ch. 4 - What is the difference between a dependent and an...Ch. 4 - Give examples of industries that are affected by...Ch. 4 - Give examples of industries in which demand...Ch. 4 - Prob. 21DQCh. 4 - The following gives the number of pints of type B...Ch. 4 - 4.2 a. Plot the above data on a graph. Do you...Ch. 4 - Refer to Problem 4.2. Develop a forecast for years...Ch. 4 - A check-processing center uses exponential...Ch. 4 - The Carbondale Hospital is considering the...Ch. 4 - The monthly sales for Yazici Batteries, Inc., were...Ch. 4 - The actual demand for the patients at Omaha...Ch. 4 - Daily high temperatures in St. Louis for the last...Ch. 4 - Lenovo uses the ZX-81 chip in some of its laptop...Ch. 4 - Data collected on the yearly registrations for a...Ch. 4 - Use exponential smoothing with a smoothing...Ch. 4 - Consider the following actual and forecast demand...Ch. 4 - As you can see in the following table, demand for...Ch. 4 - Following are two weekly forecasts made by two...Ch. 4 - Refer to Solved Problem 4.1 on page 138. a. Use a...Ch. 4 - Solved example 4.1 Sales of Volkswagens popular...Ch. 4 - Refer to Solved Problem 4.1. Using smoothing...Ch. 4 - Consider the following actual (At) and forecast...Ch. 4 - Income at the architectural firm Spraggins and...Ch. 4 - Question 4.20 Resolve Problem 4.19 with =.1 and ...Ch. 4 - Question 4.21 Refer to the trend-adjusted...Ch. 4 - Question 4.22 Refer to Problem 4.21. Complete the...Ch. 4 - Question 4.23 Sales of quilt covers at Bud Baniss...Ch. 4 - Question 4.24 Mark Gershon, owner of a musical...Ch. 4 - Question 4.25 The following gives the number of...Ch. 4 - Prob. 26PCh. 4 - Question 4.27 George Kyparisis owns a company...Ch. 4 - Question 4.28 Attendance at Orlandos newest...Ch. 4 - Question 4.29 North Dakota Electric Company...Ch. 4 - Lori Cook has developed the following forecasting...Ch. 4 - Prob. 31PCh. 4 - Question 4.32 The following data relate the sales...Ch. 4 - Question 4.33 The number of internal disk drives...Ch. 4 - Question 4.34 The number of auto accidents in...Ch. 4 - Question 4.35 Rhonda Clark, a Slippery Rock,...Ch. 4 - Accountants at the Tucson firm, Larry Youdelman,...Ch. 4 - Sales of tablet computers at Ted Glickmans...Ch. 4 - Question 4.38 City government has collected the...Ch. 4 - Dr. Lillian Fok, a New Orleans psychologist,...Ch. 4 - Using the data in Problem 4.39, apply linear...Ch. 4 - Bus and subway ridership for the summer months in...Ch. 4 - CEO John Goodale, at Southern Illinois Power and...Ch. 4 - Emergency calls to the 911 system of Durham, North...Ch. 4 - Using the 911 call data in Problem 4.43, forecast...Ch. 4 - The following are monthly actual and forecast...Ch. 4 - Thirteen students entered the business program at...Ch. 4 - Question 4.47 Storrs Cycles has just started...Ch. 4 - Question 4.48 Dave Fletcher, the general manager...Ch. 4 - Question 4.49 Boulanger Savings and Loan is proud...Ch. 4 - Case study Southwestern University: (B) This...Ch. 4 - Case study Southwestern University: (B) This...Ch. 4 - Southwestern University: (B) This integrated case...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - For its first 2 decades of existence, the NBAs...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...Ch. 4 - Forecasting at Hard Rock Cafe Video Case With the...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- 10 Community General Hospital finds itself treating many bicycle accident victims. Data from the last seven 24-hour periods is shown below: Day Bicycle Victims 1 8 2 14 3 8 4 14 5 18 6 15 What is the forecast for day 4 using a 3-period moving average model? (1 mark) (Round to two decimal places). 11 What is the forecast for day 5 using a 3-period moving average model? (Round to two decimal places). 12 What is the forecast for day 6 using a 3-period moving average model? (1 mark) (Round to two decimal places). 13arrow_forward14 Community General Hospital finds itself treating many bicycle accident victims. Data from the last seven 24-hour periods is shown below: Day Bicycle Victims 1 8 2 14 3 8 4 14 5 18 6 15 With an alpha value of 0.31 and a starting forecast in day 3 equal to the 21 , what is the exponentially smoothed forecast for day 4? (Round to two decimal places) 15 What is the exponentially smoothed forecast for day 5? (Round to two decimal places) 16arrow_forward53 Can you help me find MSE in this chart?arrow_forward
- 1. The number of bushels of apples sold at a roadside fruit stand over a 12-day period were as follows: Day Numbar Sold Day Number Sold 25 35 31 8. 32 29 9. 10 38 33 34 37 40 37 32 11 12 If a two-period moving average has been used to forecast sales, what were the daily forecasts starting with the forecast for day 3? If a four-period moving average has been used, what were the forecasts for eacn uay starting with day 5? Plot the original data and each set of forecasts on the same graph. Which forecast has the greater tendency to smooth? Which forecast has the better ability to respond quickly to changes? What does use of the term sales instead of demand imply? a. b. C. 123 4 56arrow_forwardForecasting and Queuing model List three positive and three negative outcomes for each of these application of management sciencearrow_forwarda. What is the mean square error for time periods 2 through 4 using the average forecasting method? b. What is the mean absolute error for time periods 2 through 4 using the average forecasting method? c. What is the mean absolute percentage error for time period 2 through 4 using the average forecasting method? Round all answers to two decimal places. Time Period 1 2 3 4 Mean absolute error (MAE) Mean squared error (MSE) Mean absolute percentage error (MAPE) Electric Bill 510 315 420 480 Average Forecast Forecast Errorarrow_forward
- The County Transportation Department needs to determine usage factors by day of the week for a popular toll bridge connecting different parts of the city. In the current study, they are considering only working days. Suppose that the numbers of cars using the bridge each working day over the past four weeks were (in thousands of cars) Find the seasonal factors corresponding to daily usage of the bridge.arrow_forwardAttendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Compute seasonal indices using all of the data .arrow_forwardForecasting in Operation Managementarrow_forward
- Give typed answer Question: Use an exponential smoothing model with a =.4 to forecast issues remediated for periods 6-10. (Assume a beginning forecast of 320 for period 5). 1. Forecast Period 6 (August) : ? 2. Forecast Period 7 (September) : ? 3. Forecast Period 8 (October) : ? 4. Forecast Period 9 (November) : ? 5. Forecast Period 10 (December) : ?arrow_forwardWalmart’s Human Resource Planning Forecasting. Walmart’s human resource management forecasts its workforce needs to ensure capacity to address changes in consumer demand. While other forecasting methods and techniques are also used, these three are the most notable at Walmart:arrow_forward21arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Contemporary MarketingMarketingISBN:9780357033777Author:Louis E. Boone, David L. KurtzPublisher:Cengage Learning
Contemporary Marketing
Marketing
ISBN:9780357033777
Author:Louis E. Boone, David L. Kurtz
Publisher:Cengage Learning
Forecasting 2: Forecasting Types & Qualitative methods; Author: Adapala Academy & IES GS for Exams;https://www.youtube.com/watch?v=npWni9K6Z_g;License: Standard YouTube License, CC-BY
Introduction to Forecasting - with Examples; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=98K7AG32qv8;License: Standard Youtube License