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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Optimization of a multi-constraint transport problem using a heuristic approach

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  • Optimization of a multi-constraint transport problem using a heuristic approach

Ngnassi Djami Aslain Brisco 1, *, Nzié Wolfgang 1, 2 and Doka Yamigno Serge 3

1 Department of Fundamental Sciences and Engineering Techniques, Chemical Engineering and Mineral Industries School, University of Ngaoundere, Cameroon.
2 Department of Mechanical Engineering, National Advanced School of Agro-Industrial Sciences, University of Ngaoundere, Cameroon.
3 Department of Physics, Faculty of Science, University of Ngaoundere, Cameroon.
 
Research Article
Global Journal of Engineering and Technology Advances, 2022, 10(01), 001–021.
Article DOI: 10.30574/gjeta.2022.10.1.0158
DOI url: https://doi.org/10.30574/gjeta.2022.10.1.0158
Received on 05 May 2021; revised on 25 November 2021; accepted on 02 January 2022
 
A Linear transport problem can be defined as the action of transporting products from "m origins" (or units) to "n destinations" (or customers) at the lowest cost. So the solution to a transportation problem is to organize the transportation in such a way as to minimize its cost. The objective of this paper is to determine the quantity sent from each source (origin) to each destination while minimizing transport costs. Achieving this objective requires a methodology which consists in deploying an algorithm whose purpose is the search for an optimal solution, based on an initial solution. The application is made on a factory producing mechanical parts.
 

Cost; Optimization; Linear programming problem; Heuristic method

https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2021-0158.pdf

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Ngnassi Djami Aslain Brisco, Nzié Wolfgang and Doka Yamigno Serge. Optimization of a multi-constraint transport problem using a heuristic approach. Global Journal of Engineering and Technology Advances, 2022, 10(1), 001-021. Article DOI: https://doi.org/10.30574/gjeta.2022.10.1.0158

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