Greenfield’s Tannery supplies leather to the South Fork Boot Company on a monthly basis for manufacturing western style boots. South Fork does not keep a large stock of inventory on hand; thus the tannery must provide sufficient leather to meet demand on a timely basis. Furthermore, the quality of the leather must be of the highest grade. The demand for western boots is lowest in the late winter, increases during the summer and fall and reaches its peak during the holiday season. The demand for leather follows the same general pattern. Greenfield’s Tannery has experienced the following monthly demand for the past fourteen months. Month Demand (in square yards) January 1300 February 1100 March 900 April 1600 May 1500 June 2100 July 2400 August 2000 September 2900 October 3200 November 3700 December 2400 January 1600 February 1000   Calculate a forecast of the above demand using a three-month and a five-month moving average in a table. In your table, include a column for computing the forecast errors for each of the moving average forecasts. Compute the error per period and then be sure to include the cumulative forecast error for each. You can find help with this in the instructor video in Content for the week.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter11: Simulation Models
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Greenfield’s Tannery supplies leather to the South Fork Boot Company on a monthly basis for manufacturing western style boots. South Fork does not keep a large stock of inventory on hand; thus the tannery must provide sufficient leather to meet demand on a timely basis. Furthermore, the quality of the leather must be of the highest grade. The demand for western boots is lowest in the late winter, increases during the summer and fall and reaches its peak during the holiday season. The demand for leather follows the same general pattern. Greenfield’s Tannery has experienced the following monthly demand for the past fourteen months.

Month

Demand (in square yards)

January

1300

February

1100

March

900

April

1600

May

1500

June

2100

July

2400

August

2000

September

2900

October

3200

November

3700

December

2400

January

1600

February

1000

 

Calculate a forecast of the above demand using a three-month and a five-month moving average in a table.

In your table, include a column for computing the forecast errors for each of the moving average forecasts. Compute the error per period and then be sure to include the cumulative forecast error for each. You can find help with this in the instructor video in Content for the week.

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