← 2014 Paper 2
UPSC 2014 Maths Optional Paper 2 Q2c — Step-by-Step Solution
20 marks · Section A
Transportation problem · Linear Programming · asked 5× in 13 yrs · Read the full method →
Question
Find the initial basic feasible solution to the following transportation problem by Vogel’s approximation method. Also, find its optimal solution and the minimum transportation cost:
O1O2O3DemandD16846D249310D312615D45724Supply14165
Technique
Vogel’s approximation method (VAM) for IBFS; MODI/u,v method for optimality testing.
Solution
Step 1 — Balance check
Total supply =14+16+5=35, total demand =6+10+15+4=35. Balanced ✓.
Step 2 — VAM iterations
Iteration 1. Penalties (difference between two smallest costs in each row/column):
| Row penalties | Col penalties |
|---|
| O1: 4−1=3 | D1: 6−4=2 |
| O2: 7−2=5 | D2: 4−3=1 |
| O3: 3−2=1 | D3: 2−1=1 |
| D4: 5−2=3 |
Max penalty: O2 (=5). Cheapest cell in O2: D3 (cost 2). Allocate min(16,15)=15, i.e., x23=15. Eliminate column D3 (demand met).
Iteration 2. Updated supply for O2: 1. New penalties (without D3):
| Row | Col |
|---|
| O1: 5−4=1 | D1: 6−4=2 |
| O2: 8−7=1 | D2: 4−3=1 |
| O3: 3−2=1 | D4: 5−2=3 |
Max penalty: D4 (=3). Cheapest in D4: O3 (cost 2). Allocate min(5,4)=4, i.e., x34=4. Eliminate D4.
Iteration 3. Updated supply for O3: 1. New penalties (without D3,D4):
| Row | Col |
|---|
| O1: 6−4=2 | D1: 6−4=2 |
| O2: 9−8=1 | D2: 4−3=1 |
| O3: 4−3=1 | |
Tie max penalty: O1 vs D1 (both 2). Pick O1. Cheapest in O1: D2 (cost 4). Allocate min(14,10)=10, i.e., x12=10. Eliminate D2.
Iteration 4. Updated O1 supply: 4. Only D1 left (demand 6). Allocate vertically:
x11=4,x21=1,x31=1 (filling remaining supply at each origin against D1‘s demand).
Step 3 — Initial BFS
| Cell | Allocation | Cost contribution |
|---|
| x11 | 4 | 4⋅6=24 |
| x12 | 10 | 10⋅4=40 |
| x21 | 1 | 1⋅8=8 |
| x23 | 15 | 15⋅2=30 |
| x31 | 1 | 1⋅4=4 |
| x34 | 4 | 4⋅2=8 |
Number of allocations: 6=m+n−1=3+4−1 ⇒ non-degenerate.
Total cost (IBFS): 24+40+8+30+4+8=114.
Step 4 — Optimality check (MODI / u,v method)
For each allocated cell, ui+vj=cij. Set u1=0:
- x11: v1=6.
- x12: v2=4.
- x21: u2=8−v1=2.
- x23: v3=2−u2=0.
- x31: u3=4−v1=−2.
- x34: v4=2−u3=4.
For non-allocated cells, compute Δij=cij−ui−vj:
| Cell | cij | ui+vj | Δij |
|---|
| (1,3) | 1 | 0 | 1 |
| (1,4) | 5 | 4 | 1 |
| (2,2) | 9 | 6 | 3 |
| (2,4) | 7 | 6 | 1 |
| (3,2) | 3 | 2 | 1 |
| (3,3) | 6 | −2 | 8 |
All Δij≥0 ⇒ optimal.
Answer
IBFS = Optimal solution; minimum cost = 114.