(a) How many bags of each type should the man buy to get maximum profit ?
OR
(b) Find the profit that the man can earn by selling all the bags.
(a) How many bags of each type should the man buy to get maximum profit ?
OR
(b) Find the profit that the man can earn by selling all the bags.
Optimise over the feasible region formed by the cost, storage and non-negativity constraints.
The LPP:
- Maximise
- subject to (cost), (storage), , .
Corner points and Z-values:
- :
- :
- :
- :
(a) Bags to buy for maximum profit:
- Maximum Z occurs at , so buy 5 bags of rice and 5 bags of wheat.
(b) Maximum profit on selling all bags:
- Maximum profit = Rs 950.
Marking Scheme
- 11 mark: correctly identifying the corner points of the feasible region, including the vertex from solving and .
- 21 mark: evaluating Z at the corners and concluding the maximum Z = Rs 950 at ; for (a) state , for (b) state profit = Rs 950.
- 3Full 2 marks for whichever alternative (a) or (b) is attempted with correct optimum.
Hint
List the corner points of the region bounded by , , ; the vertex comes from solving the two lines simultaneously. Evaluate at each.
Quick Oral Answer
Evaluating at the corners, the maximum is Rs 950 at , so the man should buy 5 bags of rice and 5 bags of wheat to earn the maximum profit of Rs 950.
Analysis & Explanation
This part solves the LPP formulated in Q38(i)-(ii) by the corner-point (extreme-point) method.
Concept:
- The feasible region is a bounded convex polygon; the optimal value of a linear objective always occurs at one of its corner (vertex) points, so we only need to evaluate Z there.
- The key vertex is the intersection of the two active lines and .
Working the intersection:
- From , ; substituting, .
Exam trap:
- Do not stop at the axis point ; although it satisfies the budget, it gives only Rs 833, less than Rs 950. Every vertex must be tested.
- Both alternatives (a) and (b) lead to the same optimum — (a) asks for the bag mix, (b) asks for the resulting profit; state and Z = Rs 950 to be safe.
Real-world:
- This is a classic budget-and-capacity trade-off a trader faces: an equal 5-5 split beats loading up on the higher-cost rice alone.
Common Mistakes
- 1Testing only the axis intercept and reporting Rs 833 instead of checking the interior vertex that gives Rs 950.
- 2Arithmetic slip while solving with — forgetting to substitute correctly gives a wrong vertex.
- 3Overlooking as a feasible corner because they assume the budget line is binding there, when in fact .
Interesting Facts
The corner-point method rests on the Fundamental Theorem of Linear Programming: an optimum, if it exists over a bounded feasible region, is always attained at a vertex.
Here two constraints are simultaneously binding at the optimum (budget fully or partly used, storage fully used at bags), which is typical of an efficient LPP solution.
At the man spends = Rs 15,000 exactly and uses all 10 storage slots — both resources are fully utilised.
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Frequently Asked Questions
Why is the maximum profit found at and not at the axis point ?
The corner-point method requires testing every vertex. At , , but at , , which is larger. Since the optimum of a linear objective on a bounded region lies at a vertex, gives the true maximum profit of Rs 950.
How do I get the vertex ?
It is the intersection of the two binding lines and . Substituting into the first: , so .
Do parts (a) and (b) have different answers?
No — they describe the same optimum. Part (a) asks for the bag mix (5 rice, 5 wheat) and part (b) asks for the resulting profit (Rs 950). Solving the LPP once answers both.