An efficient approach for finding the IBFS of time minimization transportation problems using mean absolute deviation

Abstract

The time minimization transportation problem focuses on reducing the total transportation time of goods from origins to destinations. In this research paper, we propose a novel method for achieving minimum transportation time that differs significantly from existing approaches. Our method introduces the use of the mean absolute deviation (MAD) to obtain an initial basic feasible solution. We then compare the results of our proposed method with established techniques, including the Vogel’s Approximation Method (VAM), Least Cost Method (LCM), and Modified Distribution Method (MODI). The findings demonstrate the effectiveness of our approach in minimizing transportation time, offering a competitive alternative to conventional methods.