A hybrid approach for solving real life transportation problems using robust methods

Abstract

A lot of fundamentals are illustrated for resolving fuzzy transportation problem (FTP). But this present work define a crucial method for unfolding fuzzy FTP using robust technique to manifest the parameters by fuzzy numbers. As per literature it is little bit tough to limit the membership function to the normal form. In this paper, a new approach is illustrated for solving FTP using allocation table method (ATM) to determine the initial basic feasible solution. Moreover, a modified distribution method algorithm (MDMA) is proposed to optimize the best possible solution for real life fuzzy transportation problems. The minimal fuzzy transportation cost calculation has been represented with numerical examples.