The **Northwest Corner Method** (or upper left-hand corner) is a heuristic that is applied to a special type of **Linear Programming** problem structure called the **Transportation Model**, which ensures that there is an initial basic feasible solution (non artificial). Other methods for obtaining an initial basic solution are the **Minimum Cell Cost Method** and the **Vogel Approximation Model**. Generally, Vogel’s Model produces the best initial basic solution and the Northwest Corner the worst; nevertheless, the Northwest Corner Method involves the least number of calculations.

The **Northwest Corner Method** starts in the cell (route) corresponding to the northeast corner, or the upper left, of the tableau (variable ). Below is a description of the steps:

**Step 1:**Allocate the maximum amount available to the selected cell and adjust the associated supply and demand quantities by subtracting the allocated quantity.**Step 2:**Exit the row or the column when the supply or demand reaches zero and cross it out, to show that you cannot make any more allocations to that row or column. If a row or a column simultaneously reach zero,(the row or the column) and leave a zero supply (demand) in the row (column) that is not crossed out.**only cross out one****Step 3:**If exactly one row or column is left that is not crossed out, stop. Otherwise, advance to the cell to the right if a column has just been crossed out, or to the cell below if a row was crossed out. Continue with Step 1.

## Northwest Corner Method Example

In order to illustrate how to apply the Northwest Corner Method we will consider the following ** balanced **transportation model that takes into account 3 silos products (supply) that satisfy the needs of 4 mills (demand). The transportation algorithm is based on the hypothesis that the model is balanced, in other words, that the total demand is equal to the total supply (if the model is not balanced it can always be increased with a fictitious source or a fictitious destination to restore the equilibrium or balance).

The per unit transport costs from silo *i *to mill *j *() is represented in the upper right-hand corner of each box. For example the unit cost of sending one product unit from silo 1 to mill 1 is $10. Furthermore silos 1, 2 and 3 have a capacity and supply of 15, 25 and 10 units, respectively. On the other hand mills 1, 2, 3 and 4 have requirements or demands of 5, 15, 15 and 15 units, respectively. The model is ** balanced **(

**sum of the supply = sum of the demand = 50 units**). By applying the

**Northwest Corner Model**to the previous example the following results are obtained. The arrows indicate the order in which the allocated quantities are generated:

- The quantity allocated to cell is 5 units, given that although silo 1 has a capacity of 15 units, mill 1 only needs (demand) 5 units (no more allocations are made to column 1 corresponding to mill 1).
- Next we will move to the right and assign the maximum (10 remaining units) to cell (thereby completing the capacity of silo 1 and as a result it is no longer possible to make allocations to row 1).
- Then we allocate 5 units to cell , which is actually less than the capacity of silo 2 but enough to satisfy the requirements of mill 2 (it is no longer possible to make additional allocations to column 2).We move to the right and allocate the maximum possible (5 units, which is the remaining capacity of silo 2, meaning that ), with which silo 2 operates at maximum capacity (new allocations to row 2 are no longer possible).
- Finally 10 units are allocated from silo 3 to mill 4 () meeting the mill’s demand (and the capacity of the corresponding silo).

Therefore the initial **basic feasible solution** is: , , , , , , reporting a program cost (the objective function value) of: **Z=5(10)+10(2)+5(7)+15*(9)+5(20)+10*(18)=$520. **Note that if the above problem is implemented computationally using **Solver from Excel **and **Simplex LP **as a problem solver, the following optimal solution is found (yellow cells) with a minimum cost (optimal value) of **$435**.