EXAMPLE: PRODUCTION PLAN STRATEGIES 1. Prepare the production plan using the three basic production plan strategies Suppose the forecasted demand for a product family looks like the table below. Assume the product family is a make to stock family with a starting inventory of 210. Period 1 2 3 Total Forecast (Demand) 175 150 180 165 150 200 1020 Additional Information: For Hybrid production, it is assumed that for the 1" three periods it uses the lowest demand; on the 4th and 5th period it uses 175 forecasted demand; and on the 6th period there is no change on the demand. Requirement: Solve for the following a. Chase production plan Period 1 2 3 5 Total Forecast (Demand) 175 150 180 165 150 200 1020 Level production plan Period 1 3 4 5 6. Total Forecast (Demand) 175 150 180 165 150 200 1020 b. Hybrid production plan Period 1 3 4 5 6. Total Forecast (Demand) 175 150 180 165 150 200 1020 2.

EXAMPLE: PRODUCTION PLAN STRATEGIES 1. Prepare the production plan using the three basic production plan strategies Suppose the forecasted demand for a product family looks like the table below. Assume the product family is a make to stock family with a starting inventory of 210. Period 1 2 3 Total Forecast (Demand) 175 150 180 165 150 200 1020 Additional Information: For Hybrid production, it is assumed that for the 1" three periods it uses the lowest demand; on the 4th and 5th period it uses 175 forecasted demand; and on the 6th period there is no change on the demand. Requirement: Solve for the following a. Chase production plan Period 1 2 3 5 Total Forecast (Demand) 175 150 180 165 150 200 1020 Level production plan Period 1 3 4 5 6. Total Forecast (Demand) 175 150 180 165 150 200 1020 b. Hybrid production plan Period 1 3 4 5 6. Total Forecast (Demand) 175 150 180 165 150 200 1020 2.

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 33P: Assume the demand for a companys drug Wozac during the current year is 50,000, and assume demand...

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The Pigskin Company produces footballs. Pigskin must decide how many footballs to produce each month. The company has decided to use a six-month planning horizon. The forecasted monthly demands for the next six months are 10,000, 15,000, 30,000, 35,000, 25,000, and 10,000. Pigskin wants to meet these demands on time, knowing that it currently has 5000 footballs in inventory and that it can use a given months production to help meet the demand for that month. (For simplicity, we assume that production occurs during the month, and demand occurs at the end of the month.) During each month there is enough production capacity to produce up to 30,000 footballs, and there is enough storage capacity to store up to 10,000 footballs at the end of the month, after demand has occurred. The forecasted production costs per football for the next six months are 12.50, 12.55, 12.70, 12.80, 12.85, and 12.95, respectively. The holding cost incurred per football held in inventory at the end of any month is 5% of the production cost for that month. (This cost includes the cost of storage and also the cost of money tied up in inventory.) The selling price for footballs is not considered relevant to the production decision because Pigskin will satisfy all customer demand exactly when it occursat whatever the selling price is. Therefore. Pigskin wants to determine the production schedule that minimizes the total production and holding costs. As indicated by the algebraic formulation of the Pigskin model, there is no real need to calculate inventory on hand after production and constrain it to be greater than or equal to demand. An alternative is to calculate ending inventory directly and constrain it to be nonnegative. Modify the current spreadsheet model to do this. (Delete rows 16 and 17, and calculate ending inventory appropriately. Then add an explicit non-negativity constraint on ending inventory.)
The Pigskin Company produces footballs. Pigskin must decide how many footballs to produce each month. The company has decided to use a six-month planning horizon. The forecasted monthly demands for the next six months are 10,000, 15,000, 30,000, 35,000, 25,000, and 10,000. Pigskin wants to meet these demands on time, knowing that it currently has 5000 footballs in inventory and that it can use a given months production to help meet the demand for that month. (For simplicity, we assume that production occurs during the month, and demand occurs at the end of the month.) During each month there is enough production capacity to produce up to 30,000 footballs, and there is enough storage capacity to store up to 10,000 footballs at the end of the month, after demand has occurred. The forecasted production costs per football for the next six months are 12.50, 12.55, 12.70, 12.80, 12.85, and 12.95, respectively. The holding cost incurred per football held in inventory at the end of any month is 5% of the production cost for that month. (This cost includes the cost of storage and also the cost of money tied up in inventory.) The selling price for footballs is not considered relevant to the production decision because Pigskin will satisfy all customer demand exactly when it occursat whatever the selling price is. Therefore. Pigskin wants to determine the production schedule that minimizes the total production and holding costs. Modify the Pigskin model so that there are eight months in the planning horizon. You can make up reasonable values for any extra required data. Dont forget to modify range names. Then modify the model again so that there are only four months in the planning horizon. Do either of these modifications change the optima] production quantity in month 1?
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A company is preparing an aggregate production plan for its product for the next four months. The company's expected monthly demand is given in the following table. The company will have 100 million in inventory at the beginning of this month and wishes to hold at least 100 Units at the end of each month.Important data is shown below: production cost per unit =$125 cost of inventory storage per month per unit =$10 cost of hiring per worker =$50 firing cost per worker =$100 initial number of workers =25 each worker can produce =25 units per month Month->expected demand: M1 ->600 M2->800 M3->700 M4->900 What is the total cost of a chase plan that uses only hiring/firing?
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