Solving Real-Life Problem Using Transportation
A. Seethalakshmy1, N. Srinivasan2
1A. Seethalakshmy, Assistant Professor, Department of Mathematics. St. Peter’s College of Engineering and Technology, Chennai, India
2N. Srinivasan, Professor, Department of Mathematics, St.Peter’s Institute of Higher Education and Research, Chennai, India.
Manuscript received on 01 August 2019 | Revised Manuscript received on 05 August 2019 | Manuscript published on 30 August 2019 | PP: 4284-4287 | Volume-8 Issue-10, August 2019 | Retrieval Number: J10620881019/19©BEIESP | DOI: 10.35940/ijitee.J1062.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Herewith a methodology is proposed towards obtaining optimum level as solution for the real-life problem using Transportation. This paper is composed for a travel agency company to get maximum profit and also to minimize the transportation cost. In the proposed method maximum value is marked both in row-wise and column-wise for maximization type and minimum valueis marked both in row-wise and column-wise for minimization type and the greatest maximum value is given allocation. Here a New algorithm is used to solve the transportation model to make maximum profit for the Company. This method gives the optimal solution in less iteration.
Keywords: Optimal Solution, Drivers, Cars, Transportation, Capacity, Demand, Optimization.
Scope of the Article: Discrete Optimization