• N. Lakshmi Narasimha Rao
• Dr. Ajay Kumar Gupta

In the area of Linear Programming Problem, modeling of Transportation Problem is fundamental in solving most real life problems as far optimization is concerned. MATLAB is used for treating programming of Linear Programming Problem, a condition referred to as M-File that can result from codes. In this synopsis we will discusses to Transportation Problem that would calculate the use of MATLAB codes using a mathematical modeling. The model develops the transportation solution for the North West Corner Rule, Least Cost Method, Vogel’s Approximation Method, and Modi method for the Transportation Problem. It is clear that a lot of effort has been involved in by many researchers in inquire about of appropriate solution methods to such problem. Furthermore, analytical approach and MATLAB coding are the methods used by most researchers in the application of these efficient proposed techniques. An equivalent MATLAB coding was written that would support in the computation of such problems with easiness especially when the problem at Linear Programming Problem and Transportation Problem. For each model, we use a combination of analytical method and MATLAB coding to study the easiest way that would be efficient while find the solution of different problems. MATLAB is the powerful computational tool in operation research. The MATLAB coding method is better than analytical method for solving Transportation Problem. This model gives us good result in Transportation problem.

MATLAB; LP; TP; Rule;Cost

"An Efficient Implementation and Solution of Transportation Problem using Hard Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.122-124, May-2019, Available :http://www.jetir.org/papers/JETIRCC06024.pdf

"An Efficient Implementation and Solution of Transportation Problem using Hard Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp122-124, May-2019, Available at : http://www.jetir.org/papers/JETIRCC06024.pdf