5. Consider the transportation problem having the following parameter table: Destination 1 Destination 2 Destination 3 Source 1 Source 2 Demand The initial BF solution given by Source 1 Source 2 Demand 3 2.9 3 X11 = 3, X12 = 2, X22=2, X23 = 2. Interactively apply the transportation simplex method to obtain an optimal solution. The initial transportation simplex tableau is Destination 1 Destination 2 2.7 Vj 3 2.9 3 3 2.7 2.8 4 2.8 4 2 2 Destination 3 0 0 0 2 0 2 2 supply 5 4 supply 5 4 U₁ For each iteration tableau, clearly mark: U₁, V, values, C₁j+ or negative values, the loop, the entering BV, the leaving BV. At the end of each iteration, also write out clearly what the new BF solution, and the new objection value.

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**Transportation Problem: Initial Simplex Tableau Example**

**Problem Statement:**

Consider the transportation problem with the following parameters:

|              | Destination 1 | Destination 2 | Destination 3 | Supply |
|--------------|---------------|---------------|---------------|--------|
| Source 1     | 3             | 2.7           | 0             | 5      |
| Source 2     | 2.9           | 2.8           | 0             | 4      |
| **Demand**     | **3**           | **4**           | **2**           |        |

The initial basic feasible (BF) solution is given by:
- \( x_{11} = 3 \)
- \( x_{12} = 2 \)
- \( x_{22} = 2 \)
- \( x_{23} = 2 \)

**Objective:**

Interactively apply the transportation simplex method to obtain an optimal solution.

**Initial Transportation Simplex Tableau:**

|              | Destination 1 | Destination 2 | Destination 3 | Supply | \( u_i \) |
|--------------|---------------|---------------|---------------|--------|-----------|
| Source 1     | 3             | 2.7           | 0             | 5      |           |
|              | (3)           | (2)           |               |        |           |
| Source 2     | 2.9           | 2.8           | 0             | 4      |           |
|              |               | (2)           | (2)           |        |           |
| **Demand**     | **3**           | **4**           | **2**           |        |           |
| \( v_j \)       |               |               |               |        |           |

**Instructions for Iteration:**

1. For each iteration tableau, clearly mark:
   - \( u_i \), \( v_j \) values
   - \(\bar{c}_{ij}\) + or - values
   - The loop
   - The entering basic variable (BV)
   - The leaving BV

2. At the end of each iteration:
   - Write out the new BF solution
   - State the new objective value

This setup provides a structured approach for solving transportation problems using the transportation simplex method, facilitating an efficient search for the optimal solution.
Transcribed Image Text:**Transportation Problem: Initial Simplex Tableau Example** **Problem Statement:** Consider the transportation problem with the following parameters: | | Destination 1 | Destination 2 | Destination 3 | Supply | |--------------|---------------|---------------|---------------|--------| | Source 1 | 3 | 2.7 | 0 | 5 | | Source 2 | 2.9 | 2.8 | 0 | 4 | | **Demand** | **3** | **4** | **2** | | The initial basic feasible (BF) solution is given by: - \( x_{11} = 3 \) - \( x_{12} = 2 \) - \( x_{22} = 2 \) - \( x_{23} = 2 \) **Objective:** Interactively apply the transportation simplex method to obtain an optimal solution. **Initial Transportation Simplex Tableau:** | | Destination 1 | Destination 2 | Destination 3 | Supply | \( u_i \) | |--------------|---------------|---------------|---------------|--------|-----------| | Source 1 | 3 | 2.7 | 0 | 5 | | | | (3) | (2) | | | | | Source 2 | 2.9 | 2.8 | 0 | 4 | | | | | (2) | (2) | | | | **Demand** | **3** | **4** | **2** | | | | \( v_j \) | | | | | | **Instructions for Iteration:** 1. For each iteration tableau, clearly mark: - \( u_i \), \( v_j \) values - \(\bar{c}_{ij}\) + or - values - The loop - The entering basic variable (BV) - The leaving BV 2. At the end of each iteration: - Write out the new BF solution - State the new objective value This setup provides a structured approach for solving transportation problems using the transportation simplex method, facilitating an efficient search for the optimal solution.
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