EP PRIN.OF OPERATIONS MGMT.-MYOMLAB
EP PRIN.OF OPERATIONS MGMT.-MYOMLAB
10th Edition
ISBN: 9780134183848
Author: HEIZER
Publisher: PEARSON CO
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Chapter 17, Problem 18P

What are the expected number of yearly breakdowns for the power generator at Orlando Utilities that has exhibited the following data over the past 20 years?

Chapter 17, Problem 18P, What are the expected number of yearly breakdowns for the power generator at Orlando Utilities that

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The materials handling manager of a manufacturing company is trying to forecast the cost of maintenance for the company's fleet of over-the-road tractors. The manager believes that the cost of maintaining the tractors increases with their age. The following data was collected: Yearly Maintenance Yearly Maintenance Age (years) Age (years) Cost ($) Cost (S) 6.5 819 8.0 1,394 5.5 1,249 2.5 363 6.5 1,233 2.5 382 7.0 695 9.0 964 6.0 923 8.0 1,573 6.0 881 3.0 1,178 7.0 1,090 3.0 666 7.0 1,722 3.0 749 7.5 1,187 a. Use POM for Windows' least squares-linear regression module to develop a relationship to forecast the yearly maintenance cost based on the age of a tractor. (Enter your responses rounded to three decimal places and include a minus sign if necessary.) Y = 365.727 + 110,721 X where Y = Yearly maintenance cost in dollars and X= Age in years. b. If a section has 20 four-year-old tractors, what is the forecast for the annual maintenance cost? $ |- (Enter your response rounded to two…
Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows:                  Compute seasonal indices using all of the data .
12.2. The manager of the I-85 Carpet Outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpets from one of the outlet’s many competitors. The manager has collected the following demand data for the past eight months: Month     Demand for Soft Shag Carpet (1000 yd)1                                          52                                         103                                          64                                          85                                         146                                         107                                           98                                          12     a. Compute a three-month moving average forecast for months 4 through 9.     b. Compute a weighted three-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months in sequence, starting with…
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