Math Problem Statement
Two oil refineries each produce three grades of petroleum, A , B and C . At each refinery, the various grades of petroleum are produced in a single operation so that they are in fixed proportions. One operation at Refinery 1 produces 2 units of A , 1 unit of B and 5 units of C . One operation at Refinery 2 produces 5 units of A , 1 unit of B and 2 units of C . Refinery 1 charges $350 for one operation, and Refinery 2 charges $200 for one operation. A consumer needs at least 540 units of A , 180 units of B and 420 units of C . How should the orders be placed if the consumer’s needs are to be met most economically? Each grade of oil, A , B and C , gives an inequality in x and y . Plot these inequalities on a graph. Enter the coordinates of the corners of the feasible region (the feasible basic solutions). Enter them in increasing order of their x -coordinate. For example, if one feasible basic solution is x=1,y=2 ; another is x=5,y=0 and a third is x=2,y=3 , you would enter (1,2), (2,3), (5,0)
Solution
We can solve this problem by translating it into a linear programming problem and then graphing the inequalities to determine the feasible region.
Step 1: Define the variables
Let:
- = the number of operations at Refinery 1.
- = the number of operations at Refinery 2.
Step 2: Constraints based on petroleum requirements
We know that:
- Refinery 1 produces units of , unit of , and units of per operation.
- Refinery 2 produces units of , unit of , and units of per operation.
- The consumer needs at least units of , units of , and units of .
This gives us the following inequalities:
-
For :
-
For :
-
For :
Step 3: Objective function (minimizing cost)
The total cost is: We need to minimize this cost.
Step 4: Solve the system of inequalities
We now solve the inequalities for the boundary points of the feasible region. Each inequality will form a straight line, and the region that satisfies all three constraints will be our feasible region.
Inequality 1:
Solve for :
Inequality 2:
Solve for :
Inequality 3:
Solve for :
Step 5: Plotting and finding the corner points
The three lines are:
Next, we find the intersection points of these lines, which are the corner points of the feasible region.
-
To find the intersection of and , set them equal: Solving this gives , .
-
To find the intersection of and , set them equal: Solving this gives , .
-
To find the intersection of and , set them equal: Solving this gives , .
Thus, the coordinates of the corners of the feasible region are:
Step 6: Conclusion
The corners of the feasible region, in increasing order of their -coordinate, are:
Would you like to see the graph or have more details about how the corner points were calculated?
5 Related Questions:
- How do we determine which corner point gives the minimum cost?
- How would the solution change if the costs at the refineries were different?
- What happens if the consumer's petroleum needs increase?
- How would we handle constraints if an additional refinery is introduced?
- What if the proportions of petroleum grades produced at each refinery change?
Tip:
In linear programming, the minimum or maximum value of the objective function always occurs at one of the vertices (corner points) of the feasible region.
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Inequalities
Optimization
Formulas
2x + 5y ≥ 540 (for grade A)
x + y ≥ 180 (for grade B)
5x + 2y ≥ 420 (for grade C)
Cost = 350x + 200y (objective function)
Theorems
Feasible Region in Linear Programming
Vertex Theorem
Suitable Grade Level
Grades 10-12
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