Transportation problem is one of the models of Linear Programming problem. It deals with the situation in which a commodity from several sources is shipped to different destinations with the main objective to minimize the total shipping cost. There are three well-known methods namely, North West Corner Method Least Cost Method, Vogel’s Approximation Method to find the initial basic feasible solution of a transportation problem. In this paper, we present some statistical methods for finding the initial basic feasible solution. We use three statistical tools: arithmetic and harmonic mean and median. We present numerical examples, and we compare these results with other classical methods.
CITATION STYLE
Baboş, A. (2019). Statistical Methods for Solving Transportation Problems. International Conference KNOWLEDGE-BASED ORGANIZATION, 25(2), 10–13. https://doi.org/10.2478/kbo-2019-0049
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