A new LCM modification for finding an IBFS for fuzzy transportation problems

Abstract

In this research, we present a modified approach to “the least cost method” (LCM) of finding “the initial basic feasible solution” (IBFS) to the fuzzy transportation problem (FTP). The problem is in a foggy environment where the cost of transporting the product, the resources, and the demand in the destinations are fuzzy numbers. We solved the (FTP) by converting it to an equivalent crisp form using (a robust ranking technique). A numerical example is presented to demonstrate the suggested approach.