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Review of Pradhan Mantri Jan Dhan Yojana and State of Employment in India
Dr. Pankaj Mishra
Role of Python programming language in data science and big data processing
Dr. Kailas Tehare
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PREVALENCE OF CERVICOGENIC HEADACHE IN MEDICAL STUDENT
Prof. (Dr.) Pushpendra Yaduvanshi
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Prof. (Dr.) Pushpendra Yaduvanshi
Digital Initiatives and Digital Infrastructure: A Study Among Secondary School Teachers in Nagaland
Dr. Boyillapalli Venkata Rao
Solving Transportation Problem Using Linear Programming and Graph Theory by Proposed Model
by Dr. Sarla Raigar , Dr. Gurusharan Kaur , Dr. Kirti Kumar Jain
International Journal of Technology & Emerging Research 2025 , 1 (3) , 36–45
10.64823/ijter.2503006Abstract
This article describes how to use Graph Theory and LPP approaches to identify solutions to minimize transportation expenses. This paper's goal is to apply several strategies that have been created in the literature to address transportation-related issues and lower costs. This paper demonstrates the connection between the transportation problem and graph theory and starts the process of looking for different sorts of solutions. For this reason, we have employed a novel approach in conjunction with graph theory, LCM, VAM, NWCM, and Linear Programming Model. Which technique has a lower transportation cost is shown via comparison.
Keywords: Transportation, Minimization costs, Sources supply, Demand, Bipartite graph, LINGO Software, Linear Programming.
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