OPERATIONS MGMT. INSTANT ACCESS
OPERATIONS MGMT. INSTANT ACCESS
12th Edition
ISBN: 9780134165349
Author: HEIZER
Publisher: PEARSON
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Chapter 4, Problem 1P

The following gives the number of pints of type B blood used at Woodlawn Hospital in the past 6 weeks:

WEEK OF PINTS USED
August 31 360
September 7 389
September 14 410
September 21 381
September 28 368
October 5 374
  1. a. Forecast the demand for the week of October 12 using a 3-week moving average.
  2. b. Use a 3-week weighted moving average, with weights of .1, .3, and .6, using .6 for the most recent week. Forecast demand for the week of October 12.
  3. c. Compute the forecast for the week of October 12 using exponential smoothing with a forecast for August 31 of 360 and α =.2.
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The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks:                        Week of            Pints used                        Aug 31                   360                         Sep 7                      370                         Sep 14                    412                          Sep 21                    383                           Sep 28                   371                        Oct     5                      371      A) The forecasted demand for the week of October 12 using a 3-week moving average = 375  B) Using the 3-week weighted moving average, with weights of 0.10, 0.35, 0.55, using 0,55 for the most recent week, the forecasted demand for the week of October 12=[__] pints (round your response to two decimal places and remember to use the weights in appropriate order- the largest weight applies to most recent period and smallest weight applies to oldest period.)
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks:                     week of     pints used                     aug 31         360                     sep   7          370                     sep  14        412                     sep   21       383                     sep    28       371                      oct    5          371 a) the forecasted demand for the week of Oct 12 using a 3 week moving average= 375 pints b)using a 3-week weighted moving average with weights of 0.10, 0.35, and 0.55, using 0.55 for the most recent week, the forecased demand for the week of Oct 12 = 372.20  c) If the forecasted demand for the week of Aug 31 is 360 and (alpha symbol)= 0.30, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of Oct 12                       week of     pints used        forecast for this date                         Aug 31        360…
4 Trinity General Hospital had the following number of patient admissions during the past 8 weeksWeek                          Patient                                Admissions1                                   1202                                   1453                                     954                                   1125                                   1306                                   1107                                   1008                                   140 a. Develop a 3-week weighted average forecast forWeek 4 through 9 with weightsW1 = 0.2W2 = 0.3W3 = 0.5 b. Forecast patient admissions for week 9 using simpleexponential smoothing with α = 0.2. Assume that the forecast for Week 2 (F2) is the naïve forecast.

Chapter 4 Solutions

OPERATIONS MGMT. INSTANT ACCESS

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 - Prob. 22DQCh. 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 4.25 The following gives the number of...Ch. 4 - Prob. 25PCh. 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 - Question 4.33 The number of internal disk drives...Ch. 4 - Dr. Lillian Fok, a New Orleans psychologist,...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 - Question 4.47 Storrs Cycles has just started...Ch. 4 - Question 4.49 Boulanger Savings and Loan is proud...Ch. 4 - Question 4.24 Mark Gershon, owner of a musical...Ch. 4 - Lori Cook has developed the following forecasting...Ch. 4 - Prob. 45PCh. 4 - Question 4.32 The following data relate the sales...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 - Using the data in Problem 4.39, apply linear...Ch. 4 - Bus and subway ridership for the summer months in...Ch. 4 - Thirteen students entered the business program at...Ch. 4 - Question 4.48 Dave Fletcher, the general manager...Ch. 4 - The following are monthly actual and forecast...Ch. 4 - Prob. 1CSCh. 4 - Prob. 2CSCh. 4 - Prob. 3CSCh. 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...

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