Compute mad and mape for managements technique

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Reference no: EM132334894

Question 1: 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

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.

c) Compute the forecast for the week of October 12 using exponential smoothing with a forecast for August 31 of 360 and α = .2.

Question 2: Income at the law firm Smith and Jones for the period February to July was as follows:

Month               February      March      April       May       June       July

Income              70.0           68.5        64.8      71.7       71.3      72.8

(in $000s)

Use trend-adjusted exponential smoothing to forecast the law firm's August income. Assume that the initial forecast for February is $65 000 and the initial trend adjustment is 0. The smoothing constants selected are α = 0.1 and β = 0.2.

Question 3: Sales of vegetable dehydrators at Bud Banis' s discount department store in Gander over the past year are shown below. Management prepared a forecast using a combination of exponential smoothing and its collective judgment for the four months March. April. May. and June of 2016:

Month 2015-2016 Unit sales Management's Forecast  
July 100
August 93
September 96
October 110
November  124
December 119
January 92
February 83
March 101 120
April 96 114
May 89 110
June 108 108

a) Compute MAD and MAPE for management's technique.

b) Do management's results outperform (i.e., have smaller MAD and MAPE than) a naive forecast?

c) Which forecast do you recommend, based on lower forecast error?

Verified Expert

There are three question in the assignment based on the forecasting techniques. The first question deals with the types of forecasting methods such as moving averages and exponential method. The second question is also based on forecasting methods but it is based on trend adjustment exponential smoothing forecasting method. The last question deals with the error in forecasting.

Reference no: EM132334894

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