A comparative study between new proposed Technique (LPAM) and the other existing techniques to Find IBFS for Transportation Problem
Abstract
Transportation model is a special case of linear programming problem in which the main objective is to transport raw material, or finished products are transported from warehouses to factories or vice-versa, at a total minimum cost. Finding an initial basic feasible solution is the basic requirement to acquire an optimal solution for the transportation problems. In this study, a new technique named (LPAM- Technique) (The Largest penalty and allocate the maximum- technique) is proposed to locate initial basic feasible solution for transportation problems. The performance of the (LPAM) is evaluated and compared with the existing techniques in the literature (NWCM, LCM, VAM, CVAM, iLCM), To clarify the statement, The the applications twenty randomly chosen an available in the literature to Obtain (IBFS) of Transportation Problem. Obtained results show by using this technique we found that (IBFS) of most of the transportation problem very close to optimal solution or same as optimal solution than using the other existing techniques which is discussed in this study, and it is observed that the performance of proposed technique is suitable for solving transportation problems.
Full text article
Authors
Copyright (c) 2020 Journal of Pure & Applied Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
In a brief statement, the rights relate to the publication and distribution of research published in the journal of the University of Sebha where authors who have published their articles in the journal of the university of Sebha should how they can use or distribute their articles. They reserve all their rights to the published works, such as (but not limited to) the following rights:
- Copyright and other property rights related to the article, such as patent rights.
- Research published in the journal of the University of Sebha and used in its future works, including lectures and books, the right to reproduce articles for their own purposes, and the right to self-archive their articles.
- The right to enter a separate article, or for a non-exclusive distribution of their article with an acknowledgment of its initial publication in the journal of Sebha University.
Privacy Statement The names and e-mail addresses entered on the Sabha University Journal site will be used for the aforementioned purposes only and for which they were used.