The following problems should be solved using QM for Windows & Excel.
Question 1: Sale of industrial vacuum cleaners at R. Lowenthal Supply Co. over the past 13 months are as follows:
Sales (1,000) Month Sales (1,000s) Month
11 January 14 August
14 February 17 September
16 March 12 October
10 April 14 November
15 May 16 December
17 June 11 January
11 July
(a) Using a moving average with three periods, determine the demand for vacuum cleaners for next February.
(b) Using a weighted moving average with three periods, determine the demand for vacuum cleaners for February. Use 3, 2, and 1 for the weights of the most recent, second most recent, and third most recent periods, respectively. For example, if you were forecasting the demand for February, November would have a weight of 1, December would have a weight of 2, and January would have a weight of 3.
(c) Evaluate the accuracy of each of these methods.
(d) What other factors might R. Lowenthal consider in forecasting sales?
Question 2: Passenger miles flown o Northeast Airlines, a commuter firm serving the Boston hub, are as follows for the past 12 weeks:
Actual Passenger Actual Passenger
Weeks Miles(1000s) Weeks Miles(1000s)
1 17 7 20
2 21 8 18
3 19 9 22
4 23 10 20
5 18 11 15
6 16 12 22
(a) Assuming an initial forecast for week 1 of 17,000 miles use exponential smoothing to compute miles for weeks 2 through 12. Use a = 0.2
(b) What is the MAD for this model?
(c) Compute the RSFE, and tracking signals. Are they within acceptable limits?
Question 3: Emergency calls to Winter Park, Florida's 911 system, for the past 24 weeks are as follow:
Week Calls Week Calls Week Calls
1 50 9 35 17 55
2 35 10 20 18 40
3 25 11 15 19 35
4 40 12 40 20 60
5 45 13 55 21 75
6 35 14 35 22 50
7 20 15 25 23 40
8 30 16 55 24 65
(a) Compute the exponentially smoothed forecast of calls for each week. Assume an initial forecast of 50 calls in the first week and use a = 0.1. What is the forcast for the 25th week?
(b) Forecast each period using a = 0.6.
(c) Actual calls during the 25th week were 85. Which smoothing constraints provide a superior forecast?