Time Optimization Transportation Problem with Minimum Cost Penalty
Main Article Content
Abstract
Time-optimized transportation the problem deals with cost as well as time minimization for the transportation of the goods from the source. Recognizing the need for a more versatile approach that considers both time and cost optimization objectives, this paper introduces a novel TOMCP algorithm. The proposed algorithm aims to provide an optimum solution for the transportation problem by concurrently minimizing both time and cost variables. By bridging the gap between traditional methods, the research contributes to a more comprehensive and adaptable framework for addressing transportation problems in real-world scenarios.
Downloads
Download data is not yet available.
Article Details
How to Cite
Mohsin Memon, & Dr. Reena G. Patel. (2024). Time Optimization Transportation Problem with Minimum Cost Penalty. Educational Administration: Theory and Practice, 30(3), 3164–3169. https://doi.org/10.53555/kuey.v30i3.9256
Issue
Section
Articles