Transportation Problem
A transportation problem fundamentally deals with the difficulty which aspires to find the best possible way to accomplish the demand of ‘n’ demand points using the capabilities of ‘m’ supply points. While attempting to find the best probable way, usually a variable cost of transporting the product from 1 supply point to a demand point or a related constraint ought to be taken into concern. This kind of problem is known as allocation or transportation problem in which the main idea is to reduce the charge or the time of transport. If the overall capacity is equivalent to the total requirement, the problem is referred to as balanced transportation problem or else it is referred as unbalanced transportation problem. The algorithm to decipher a transportation problem is as follows:
Step 1: Prepare the problem and devise it in a matrix form. In this step, the objective is to fill the table with total transportation cost and the restrictions are the supply and demand existing at each of the source and destination.
Step 2: The 2nd step is to obtain an Initial Basic Feasible Solution (IBFS). An IBFS is a solution that satisfies all the supply and demands at all the source and destination. There are 3 methods to calculate the IBFS:
Step 3: The optimality of the solution is checked using the Modified Distribution (MODI) method.
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