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Description
| SESSION | FEB-MAR 2025 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | 3 |
| course CODE & NAME | doms304 Applications of Operations research |
Assignment Set – 1
Q1. A furniture dealer deals only two items viz., tables and chairs. He has to invest Rs.10,000/- and a space to store atmost 60 pieces. A table cost him Rs.500/– and a chair Rs.200/–. He can sell all the items that he buys. He is getting a profit of Rs.50 per table and Rs.15 per chair. Formulate this problem as an LPP, so as to maximize the profit.
Ans 1.
LPP Formulation for the Furniture Dealer Problem
Step 1: Define the Decision Variables
Let: = number of tables to be bought = number of chairs to be bought
Step 2: Objective Function (Profit Maximization)
The dealer earns:
- 50 profit per table
- 15 profit per chair
So, the total
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Q2. Discuss the assumptions of linear programming.
Ans 2.
Assumptions of Linear Programming
Linear Programming
Linear Programming (LP) is a mathematical technique used for optimal allocation of limited resources to achieve a specific objective, such as maximizing profit or minimizing cost. It is widely applied in business, manufacturing, logistics, and other operational areas where decision-making involves constraints. However, the accuracy and effectiveness of a linear programming model depend on several underlying assumptions. These assumptions simplify real-world problems into a solvable linear structure and help define the boundaries within which LP can be applied relia
Q3. Solve the following LPP using simplex method.
Maximize Z = 70x1 + 50x2
Subject to: 4x1 + 3x2 ≤ 240
2x1 + x2 ≤ 100
and x1, x2 ≥ 0
Ans 3.
Problem is
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Assignment Set – 2
- A computer centre has four expert programmers and need to develop four application programmes. The head of the computer centre, estimates the computer time(in minutes) required by the respective experts to develop the application programmes as follows:
| Programmes | ||||
| Programmers | A | B | C | D |
| I | 120 | 100 | 80 | 90 |
| II | 80 | 90 | 110 | 70 |
| III | 110 | 140 | 120 | 100 |
| IV | 90 | 90 | 80 | 90 |
Ans 4.
Problem:
We are given a cost matrix (in minutes) representing the time each programmer takes to develop each program:
| Programmers | A | B | C | D |
| I | 120 | 100 | 80 | 90 |
| II | 80 | 90 | 110 | 70 |
| III | 110 | 140 | 120 | 100 |
| IV | 90 | 90 | 80 | 90 |
Step 1:
Q5. Explain the economic interpretation of duality.
Ans 5.
Economic Interpretation of Duality in Linear Programming
Linear Programming
Duality is an essential concept in linear programming that connects every linear programming problem (called the primal) with another associated problem (called the dual). While the primal problem focuses on optimizing an objective function—such as maximizing profit or minimizing cost—the dual provides a complementary perspective that interprets the value of resources or
Q6. Find out the optimal solution for the following transportation.
| D1 | D2 | D3 | D4 | Supply | |
| S1 | 11 | 13 | 17 | 14 | 250 |
| S2 | 16 | 18 | 14 | 10 | 300 |
| S3 | 21 | 24 | 13 | 10 | 400 |
| Demand | 200 | 225 | 275 | 250 |
Ans 6.
To solve this transportation problem and find the optimal solution, we will use the following steps:
- Verify balance (supply = demand)
- Initial feasible solution using the Least Cost Method
- Optimality test using the MODI method (u-v method)
Step 1:


