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Task 2: A small Tennessee company makes fused magnesia and silica. To prepare input for the planning software, the company first uses a spreadsheet to determine the capacity requirements for the main equipment (the fusion furnaces) and the production schedule for main products. Product#3050 had the following forecasted sales and outstanding orders (all in thousand pounds): January 2 25 February 1 Week 3 4 3 33 4 33 Forecast 25 25 33 33 Order 20 10 The initial inventory is 40,000 pounds and 30,000 pounds are desired as the minimum safety stock at the end of each week. Considering the holding and setup costs with EPQ, the company has found that the optimum production quantity is around 40,000 units in each run. Use this production quantity to determine the production schedule (MPS) and Available to Promise inventory for the next 7 weeks. Solution: January February WK2 WK3 WK4 WK1 WK2 WK3 WK4 Forecast 25 25 25 33 33 33 33 Committed 20 10 Beg Inv. Production 40 РОНІ (Min = 30) Available-

Task 2: A small Tennessee company makes fused magnesia and silica. To prepare input for the planning software, the company first uses a spreadsheet to determine the capacity requirements for the main equipment (the fusion furnaces) and the production schedule for main products. Product#3050 had the following forecasted sales and outstanding orders (all in thousand pounds): January 2 25 February 1 Week 3 4 3 33 4 33 Forecast 25 25 33 33 Order 20 10 The initial inventory is 40,000 pounds and 30,000 pounds are desired as the minimum safety stock at the end of each week. Considering the holding and setup costs with EPQ, the company has found that the optimum production quantity is around 40,000 units in each run. Use this production quantity to determine the production schedule (MPS) and Available to Promise inventory for the next 7 weeks. Solution: January February WK2 WK3 WK4 WK1 WK2 WK3 WK4 Forecast 25 25 25 33 33 33 33 Committed 20 10 Beg Inv. Production 40 РОНІ (Min = 30) Available-

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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A small Tennessee company makes fused magnesia and silica. To prepare input for the planning software, the company first uses a spreadsheet to determine the capacity requirements for the main equipment (the fusion furnaces) and the production schedule for main products. Product#3050 had the following forecasted sales and outstanding orders (all in thousand pounds): 

The initial inventory is 40,000 pounds and 30,000 pounds are desired as the minimum safety stock at the end of each week. 
Considering the holding and setup costs with EPQ, the company has found that the optimum production quantity is around 40,000 units in each run. Use this production quantity to determine the production schedule (MPS) and Available to Promise inventory for the next 7 weeks.

 

Safari 11:57 PM Sat Mar 26 * 100% •.. K Assignment 4 - Tasks Home Insert Draw Layout Review View Cambria 12 B I U aA v => Task 2: A small Tennessee company makes fused magnesia and silica. To prepare input for the planning software, the company first uses a spreadsheet to determine the capacity requirements for the main equipment (the fusion furnaces) and the production schedule for main products. Product#3050 had the following forecasted sales and outstanding orders (all in thousand pounds): January 2 25 February 1 Week 3 4 25 3. 4 Forecast 25 33 33 33 33 Order 20 10 The initial inventory is 40,000 pounds and 30,000 pounds are desired as the minimum safety stock at the end of each week. Considering the holding and setup costs with EPQ, the company has found that the optimum production quantity is around 40,000 units in each run. Use this production quantity to determine the production schedule (MPS) and Available to Promise inventory for the next 7 weeks. Solution: January February WK2 WK3 WK4 WK1 WK2 WK3 WK4 Forecast 25 25 25 33 33 33 33 Committed 20 10 Beg Inv. 40 Production РОНІ (Min = 30) Available-
Transcribed Image Text:Safari 11:57 PM Sat Mar 26 * 100% •.. K Assignment 4 - Tasks Home Insert Draw Layout Review View Cambria 12 B I U aA v => Task 2: A small Tennessee company makes fused magnesia and silica. To prepare input for the planning software, the company first uses a spreadsheet to determine the capacity requirements for the main equipment (the fusion furnaces) and the production schedule for main products. Product#3050 had the following forecasted sales and outstanding orders (all in thousand pounds): January 2 25 February 1 Week 3 4 25 3. 4 Forecast 25 33 33 33 33 Order 20 10 The initial inventory is 40,000 pounds and 30,000 pounds are desired as the minimum safety stock at the end of each week. Considering the holding and setup costs with EPQ, the company has found that the optimum production quantity is around 40,000 units in each run. Use this production quantity to determine the production schedule (MPS) and Available to Promise inventory for the next 7 weeks. Solution: January February WK2 WK3 WK4 WK1 WK2 WK3 WK4 Forecast 25 25 25 33 33 33 33 Committed 20 10 Beg Inv. 40 Production РОНІ (Min = 30) Available-
following forecasted sales and outstanding orders (all in thousand pounds): January 3. February Week 2 25 4 1 3. 4 Forecast 25 25 33 33 33 33 Order 20 10 The initial inventory is 40,000 pounds and 30,000 pounds are desired as the minimum safety stock at the end of each week. Considering the holding and setup costs with EPQ, the company has found that the optimum production quantity is around 40,000 units in each run. Use this production quantity to determine the production schedule (MPS) and Available to Promise inventory for the next 7 weeks. Solution: January February WK2 WK3 WK4 WK1 WK2 WK3 WK4 Forecast 25 25 25 33 33 33 33 Committed 20 10 Beg Inv. 40 Production РОНІ (Min = 30) Available- to-promise
Transcribed Image Text:following forecasted sales and outstanding orders (all in thousand pounds): January 3. February Week 2 25 4 1 3. 4 Forecast 25 25 33 33 33 33 Order 20 10 The initial inventory is 40,000 pounds and 30,000 pounds are desired as the minimum safety stock at the end of each week. Considering the holding and setup costs with EPQ, the company has found that the optimum production quantity is around 40,000 units in each run. Use this production quantity to determine the production schedule (MPS) and Available to Promise inventory for the next 7 weeks. Solution: January February WK2 WK3 WK4 WK1 WK2 WK3 WK4 Forecast 25 25 25 33 33 33 33 Committed 20 10 Beg Inv. 40 Production РОНІ (Min = 30) Available- to-promise
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