Making the optimal decision for production using the fuzzy linear programming method and the fuzzy inference system with practical application

Abstract

This research aims to build a mathematical model for some of the products of the Wasat Refineries Company (Dora Refinery) and solve the model using the fuzzy linear programming method in addition to building a fuzzy inference system for the company's products. The current research variables have received in the recent period increasing attention because they are important and influencing topics The success and future of the company in achieving its goals, as this research seeks to make a comparison between the methods of removing fog to find the best possible solution, and to achieve this goal, the application side in the company implemented the middle refineries (Dora refinery) as the focus was on the products represented by (gasoline, white oil) , Aviation fuel, gas oil, diesel oil, fuel oil, liquid gas) using the (POM-QM) program and the (Matlabr2018b) program. The research reached a number of conclusions, the most prominent of which is that there is a difference in determining the optimal quantities of production and the reflection of this matter on revenues The total achieved when using each of the methods of removing ambiguity, as the results showed that the best way in terms of achieving the highest revenues was when using the restriction and segmentation method