Abstract
Deciding on a fuzzy environment faces many difficulties due to the lack of accuracy in data or permanently changing data. Fuzzy linear programming is one of the best methods used in a fuzzy environment which has a big role in making the right decision to solve a problem. This paper aims to identify the method of Fuzzy Linear Programming (FLP) to take the optimal decision and reach the optimal production for crude oil products of the North Refineries Company, This paper constructs the FLP model and solves the model to reach a production decision that contributes to maximizing profit and solves the model by using the methods of FLP. The fuzziness was removed from the model by using five methods. Comparison between the methods of removing fuzzy in a linear programming model to get maximum profit. The paper results that the highest maximum profit is (993423791) million dinars when using the bounded and decomposition method for the linear programming problem, which is higher than the profits achieved by the research company by (50%). The results were implemented by the software package python 3.9.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
