Study Of Multi-Objective Linear Transportation Problem And Its Optimal Solution Using Maximum Divide And Minimum Allotment (MDMA) Method

Authors

  • Anushaka Sharma Research Scholar, Department of Mathematics, School of Basic and Applied Sciences, Raffles University, Neemrana – 301705. Rajasthan. India
  • Rajpal . Associate Professor, Department of Mathematics, School of Basic and Applied Sciences, Raffles University, Neemrana – 301705. Rajasthan. India.

DOI:

https://doi.org/10.15379/ijmst.v10i4.3541

Keywords:

Multi-Objective linear transportation problem, MDMA methods, Simplex method, Optimal solutions, Comparative analysis

Abstract

Logistics, supply chain management, and resource allocation are just a few of the many real-world contexts in which the Multi-Objective Linear Transportation Problem presents itself as a formidable optimization issue. In this paper, we seek to solve a multi-objective, linear and non-linear transportation problem by suggesting the most efficient solution possible. The unique Maximum divide and minimum allotment (MDMA) approach was proposed to find a workable answer to a particular transportation issue. It also calculates the solution to the problem using a number of different transportation methods and compares the result to MDMA methods. It is determined that the MDMA approach offers a practical algorithm and solution for the designated transportation problem.

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Published

2023-12-29

How to Cite

[1]
A. . Sharma and R. ., “Study Of Multi-Objective Linear Transportation Problem And Its Optimal Solution Using Maximum Divide And Minimum Allotment (MDMA) Method”, ijmst, vol. 10, no. 4, pp. 2457-2462, Dec. 2023.

Issue

Vol. 10 No. 4 (2023): Continuous publication

Section

Articles

License

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