linear programming A small company works 10 hours a day, making two types of products from 3 specific processes. The times required in each of the processes and the profits generated by type of product are shown in the table: Product Process 1 Process 2 Process 3 Utility 1 10 6 8 $2.00 2 5 20 10 $3.00 consider that x1 and x2 are the quantities of the product 1 and 2. Indicate: Objective function Restriction of the process 1 Restriction of the process 2 Restriction of the process 3 Restriction of nonnegativity Optimal solution of x1, x2 and z
linear programming A small company works 10 hours a day, making two types of products from 3 specific processes. The times required in each of the processes and the profits generated by type of product are shown in the table: Product Process 1 Process 2 Process 3 Utility 1 10 6 8 $2.00 2 5 20 10 $3.00 consider that x1 and x2 are the quantities of the product 1 and 2. Indicate: Objective function Restriction of the process 1 Restriction of the process 2 Restriction of the process 3 Restriction of nonnegativity Optimal solution of x1, x2 and z
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linear programming
A small company works 10 hours a day, making two types of products from 3 specific processes. The times required in each of the processes and the profits generated by type of product are shown in the table:
| Product | Process 1 | Process 2 | Process 3 | Utility |
| 1 | 10 | 6 | 8 | $2.00 |
| 2 | 5 | 20 | 10 | $3.00 |
consider that x1 and x2 are the quantities of the product 1 and 2.
Indicate:
- Objective function
- Restriction of the process 1
- Restriction of the process 2
- Restriction of the process 3
- Restriction of nonnegativity
- Optimal solution of x1, x2 and z
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