Pregunta
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A printing company orders paper from two different
suppliers. Supplier charges per case.
Supplier charges per case. The company the constraints on the system.
needs to order at least 45 cases per day to meet
demand and can order no more than 30 cases
from Supplier . The company needs no more
than 2 times as many cases from Supplier as
from Supplier . Let the number of cases from
Supplier and the number of cases from
Supplier .

Ask by Logan Vaughan. in the United States
Mar 22,2025

Solución de inteligencia artificial de Upstudy

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Constraints for the Printing Company’s Paper Orders:
  • Total Cases: At least 45 cases must be ordered each day.
  • Supplier : No more than 30 cases can be ordered from Supplier .
  • Supplier : No more than twice as many cases can be ordered from Supplier as from Supplier .
  • Non-negativity: The number of cases ordered from each supplier must be zero or more.
Mathematically, these constraints can be expressed as:

Solución

Step 1. Define the Variables
Let
Step 2. Write Down the Constraints
  1. Demand Constraint:
    The company needs to order at least 45 cases per day, so:
  2. Supplier Constraint:
    The company can order no more than 30 cases from Supplier , so:
  3. Supplier Constraint:
    The company needs no more than 2 times as many cases from Supplier as from Supplier , so:
  4. Non-negativity Constraints:
    Negative orders are not possible, so:
Step 3. Write the Cost Function (if needed)
Since Supplier charges per case and Supplier charges per case, the total cost is:
Final System of Constraints

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Extra Insights

In the world of linear programming, this problem can be neatly modeled with a few inequalities based on the given constraints. You can express the constraints mathematically as follows: (to meet demand), (limit from Supplier ), and (the relationship between the two suppliers). By graphing these inequalities, you can visualize the feasible region where the company can operate efficiently and determine the optimal number of cases to order from each supplier.
For those looking to dive deeper into the art of problem-solving in linear programming, exploring resources like “Linear Programming: Foundations and Extensions” by Mokhtar S. Bazaraa can be quite insightful. It unravels the techniques used to approach optimization problems, making complex scenarios more manageable. You’ll discover the beauty of mathematical modeling and how these principles apply in various industries beyond just printing, like logistics and finance!

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