The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks:Week OfAugust 31September 7September 14September 21September 28October 5a) The forecasted demand for the week of October 12 using a 3-week moving average = 373.33 pints (round your response to two decimal places).b) Using a 3-week weighted moving average, with weights of 0.20, 0.25, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week of October 12 = 373.3 pints (round yourresponse 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.)Week Ofc) If the forecasted demand for the week of August 31 is 360 and a = 0.30, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the weekof October 12 (round your responses to two decimal places).August 31September 7September 14September 21September 28Pints Used360372412Pints Used360372378368374412378368Forecast for thisDate360360.00363.60378.12

Forecasting is a process that predict the future demand using available past actual information. The…

Answered: The following table gives the number of…

Practical Management Science

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Chapter2: Introduction To Spreadsheet Modeling

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Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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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 August 31 360 September 7 370 September 14 412 September 21 383 September 28 371 October 5 371 a) The forecasted demand for the week of October 12 using a 3-week moving average= {__] Pints (round your response to two decimal places).
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…
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 360 389 412 378 366 371 a) The forecasted demand for the week of October 12 using a 3-week moving average: to two decimal places). = pints (round your response
Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $14.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV QUANTITY (UNITS) Y = 14 20 28 18 QUARTER THIS YEAR I II III IV QUANTITY (UNITS) 20 26 30 15 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) > Answer is complete but not entirely correct. 18.535 X + 0.630 t
Tom Simpson, Director of the Chamber of Commerce for Exeter township is investigating the past ten years of tourist visits to the area. The following data has been gathered on number of tourists who signed into the local information center. Year Number of tourists 1 700 2 248 3 633 4 458 5 1410 6 1588 7 1629 8 1301 9 1455 10 1989 What is the forecasts for Year 11 using the simple moving method? (show in calculations in excel file)
Room registrations in the Toronto Towers Plaza Hotel have been recorded for the past 9 years. To project future occu-pancy, management would like to determine the mathemati-cal trend of guest registration. This estimate will help the hotel determine whether future expansion will be needed. Given the following time-series data, develop a regression equation relat-ing registrations to time (e.g., a trend equation). Then forecast year 11 registrations. Room registrations are in the thousands:Year 1: 17 Year 2: 16 Year 3: 16 Year 4: 21 Year 5: 20Year 6: 20 Year 7: 23 Year 8: 25 Year 9: 24
National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Sales (000 units)Feb. 19Mar. 18Apr. 15May 20Jun. 18Jul. 22Aug. 20 Forecast September sales volume using each of the following: (1)The naive approach. (2)A five-month moving average. (3)A weighted average using .60 for August, .30 for July, and .10 for June.
Below is the number of complaints received in a department store for the first six months of operation: Month Complaints January February March April May June 37 48 84 96 114 148 If a three-month moving average is used to smooth this series, what would have been the forecast for July, rounded to the nearest whole number?
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Pints Used 350 370 410 381 371 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 376.67 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.20, 0.35, and 0.45, using 0.45 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.)
I understand the moving average concept but not the weighted moving average and exponential smoothing
Define the MONITORING FORECAST ERROR?
The manager of the Petroco Service Station wants to forecast the demand for unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the past 10 months. Compute an exponentially smoothed forecast with an a value of .30. According to the result from Excel and/or POM-QM, the forecast for the month of January would be (type number only, two decimals) Month October November December January February March April May June July 733.25 Gasoline Demanded (gal.) 800 725 630 500 645 690 730 810 1,200 980

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