A manufacturing unit makes two models, 'classic' and 'supreme' of the scooter. Each piece of the classic model requires 9 labour hours for assembling and 1 labour hour for finishing. Each piece of supreme model requires 12 labour hours for assembling and 3 labour hour for finishing. For assembling and finishing, the maximum labour hours available are 180 and 30 respectively. The company makes a profit of ₹ 10000 on each piece of the classic model and ₹ 15000 on each piece of the supreme model. Which of the following options describes the given Linear Programming Problem (LPP) to maximize the profit Z (Max Z) (where x and y are the number of pieces of the classic model and the supreme model respectively)?
A manufacturing unit makes two models, 'classic' and 'supreme' of the scooter. Each piece of the classic model requires 9 labour hours for assembling and 1 labour hour for finishing. Each piece of supreme model requires 12 labour hours for assembling and 3 labour hour for finishing. For assembling and finishing, the maximum labour hours available are 180 and 30 respectively. The company makes a profit of ₹ 10000 on each piece of the classic model and ₹ 15000 on each piece of the supreme model. Which of the following options describes the given Linear Programming Problem (LPP) to maximize the profit Z (Max Z) (where x and y are the number of pieces of the classic model and the supreme model respectively)?
Solution
Let = number of Classic scooters and = number of Supreme scooters.
Labour hours needed per scooter:
- Classic: 9 hours assembling, 1 hour finishing
- Supreme: 12 hours assembling, 3 hours finishing
Available resources:
- Maximum assembling hours = 180
- Maximum finishing hours = 30
Profit per scooter:
- Classic = ₹10,000
- Supreme = ₹15,000
The profit function to maximize:
Max
Total assembling hours used cannot exceed 180 hours:
Dividing by 3:
Total finishing hours used cannot exceed 30 hours:
Non-negativity constraints:
The complete LPP formulation:
Max
Subject to:
- (assembling constraint)
- (finishing constraint)
- (non-negativity)
Checking the options:
Option 1: Wrong profit function () and wrong constraint ()
Option 2: Wrong constraints ( and )
Option 3: Wrong inequality signs ( instead of )
Option 4: Correct formulation with subject to
Therefore, the answer is Option 4.
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