Question

The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6​ weeks:

The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6​ weeks:

The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6​ weeks:

​a) The forecasted demand for the week of October 12 using a​ 3-week moving average​ =_________ pints ​(round your response to two decimal​ places).

​b) Using a​ 3-week weighted moving​ average, with weights of 0.15, 0.25, and 0.60 using 0.60 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.​)

​c) If the forecasted demand for the week of August 31 is 360 and α=0.25​, using exponential​ smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 ​(round your responses 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 August 3October 5 3/4 a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response

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Answer #1

SIMPLE MOVING AVERAGE

FORECAST = SIGMA(PREVIOUS N DEMANDS) / N

WHERE N = 3

FORECAST 4 = (360 + 372 + 410) / 3 = 380.67

FORECAST 5 = (372 + 410 + 381) / 3 = 387.67

FORECAST 6 = (410 + 381 + 371) / 3 = 387.33

FORECAST 7 = (381 + 371 + 374) / 3 = 375.33

WEIGHTED MOVING AVERAGE

FORECAST = SIGMA(WEIGHT FOR PERIOD * DEMAND PER PERIOD) / SUM OF THE WEIGHTS

WHERE LARGEST WEIGHTS ARE MULTIPLIED BY THE MOST RECENT DEMANDS

FORECAST 4 = ((410 * 0.6) + (372 * 0.25) + (360 * 0.15)) / 1 = 393

FORECAST 5 = ((381 * 0.6) + (410 * 0.25) + (372 * 0.15)) / 1 = 386.9

FORECAST 6 = ((371 * 0.6) + (381 * 0.25) + (410 * 0.15)) / 1 = 379.35

FORECAST 7 = ((374 * 0.6) + (371 * 0.25) + (381 * 0.15)) / 1 = 374.3

FORECAST(T + 1) = FORECAST + (ALPHA * (ACTUAL DEMAND - FORECAST))

FORECAST 2 = 360 + (0.25 * (360 - 360) = 360

FORECAST 3 = 360 + (0.25 * (372 - 360) = 363

FORECAST 4 = 363 + (0.25 * (410 - 363) = 374.75

FORECAST 5 = 374.75 + (0.25 * (381 - 374.75) = 376.31

FORECAST 6 = 376.31 + (0.25 * (371 - 376.31) = 374.98

FORECAST 7 = 374.98 + (0.25 * (374 - 374.98) = 374.74

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