- Feasible Solution: Any set of non-negative allocation which satisfies row and column sum is called a feasible solution.
- Basic Feasible Solution(BFS): A feasible solution is called BFS if the number of non-negative allocation is equal to m+n-1, where m- number of rows , n- number of columns
- Non Degenerated Basic Feasible Solution: Any feasible solution of a TP containing m origins and n destinations are said to be Non Degenerated, if it contains m+n-1 occupied cells and each allocation is in independent positions.
- Allocations are said to be independent if it is impossible to form a closed path.
- Closed Path: It means by allowing horizontal and vertical lines and all the corner cells are occupied.
- Degenerated Basic Feasible Solution:If a BFS contains less than m+n-1 non-negative allocations it is said to be degenerated.
- Degenerated Basic Feasible Solution:If a BFS contains less than m+n-1 non-negative allocations it is said to be degenerated.
OPTIMAL SOLUTION:
It is a feasible solution which minimizes the total cost.
The solution of a TP can be obtained in two stages namely
- Initial solution
- Optimal solution
Initial solution can be obtained by any one of the following methods
- North West Corner Rule(NWCR)
- Least Cost Method (LCM) or Matrix Minima Method
- Vogel's Approximation Method (VAM)
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