Transportation is one of the most important requirements for humans to practice their activities. Also, it considers one of the most essential ingredients for economic development. The applications of operations research are interested in finding the optimal plan for transportation at the lowest costs from their production sources to their requesting bodies to reach the optimal decision as they play the main role in the decision-making process on a scientific basis for planning productive and economic projects. For this purpose, this research has dealt with solving the problem of transportation of oil products in the Midland Oil Company, one of the Iraqi Ministry of Oil formations. Therefore, during this study, the effectiveness of the use of transport models in reducing transportation costs of oil products in production institutions was tested by using fuzzy theory and a modern algorithm (ATM). where the method applied in the Midland Oil Company for distributing its oil products from its four main warehouses to the provinces contracting with the company as the data is fuzzy and compared with using the ready program (Win QSB) in solving the problem of fuzzy transport. As has been found through the results that the methods used to solve the problem are optimal methods for transporting the product at the lowest possible cost. And in light of the results after its analysis, several recommendations and proposals have been presented that help in applying the solution methods as they have contributed to decision-making for decision-makers.
CITATION STYLE
Hamada, A. A. (2020). The Role of Operations Research in Solving the Problem of fuzzy Transport (An Empirical Study). In Journal of Physics: Conference Series (Vol. 1530). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1530/1/012079
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