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Linear programming: formulate and solve graphically
Define the variables in words, write the objective and constraints, then test the vertices of the feasible region.
Question
Every step worked, with the reasoning.
- 1Let be the number of chairs and the number of tables made each week.
Define the decision variables in words, including the time period.
- 2Maximise
The objective function: total weekly profit in pounds.
- 3Subject to , , ,
Cutting hours, finishing hours and non-negativity.
- 4Draw through and , and through and . The feasible region lies on or below both lines with .
Each constraint keeps the side of its line containing the origin.
- 5Vertices of : , , and the intersection: subtracting the equations gives , so , , i.e. .
Solve the two constraint lines simultaneously for the corner they share.
- 6, ,
Vertex method: a linear objective is optimised at a vertex. (Equivalently, slide the objective line away from the origin — the last point of it touches is .) The optimum is already integer-valued.
Answer: Make 6 chairs and 4 tables each week, for a maximum profit of £340.
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