Ekonomik analiz ile petrol rafinerisi iş akışı dönüşümü için modern web tabanlı karar destek sistemi

The refinery industry operates within a dynamic and competitive environment, requiring decision-makers to navigate complex challenges and uncertainties. This project focused on the development of a sophisticated Decision Support System (DSS) using advanced technologies such as NET 6 and C#. The primary objective was to empower decision-makers in the refinery industry with a robust tool to analyze extensive datasets, gain valuable insights, and make informed strategic choices. The project followed a systematic development process, involving the transformation of traditional Excel-based models into an automated application. By harnessing the capabilities of NET 6 and C#, the DSS facilitated seamless integration with backend systems, efficient data processing, and complex calculations. The frontend of the DSS was built using ReactJS, resulting in a user-friendly and visually appealing interface. Decision-makers can effortlessly navigate through the system, visualize data, and analyze key metrics, enabling them to make data-driven decisions with confidence. The implementation of the DSS offers significant advantages to the refinery industry. It reduces dependency on manual processes, automates data analysis, and provides real-time access to critical information. Decision-makers can explore various scenarios, evaluate financial implications, and optimize resource allocation. By streamlining the decision-making process, the DSS saves time, enhances operational efficiency, and empowers decision-makers to stay ahead in the competitive refinery industry. This project vii underscores the transformative potential of advanced technologies in leveraging data for informed decision-making, fostering a competitive edge in the refinery industry landscape. Keywords: Oil, Decision Support System, Web-Based Decision, Economic Analysis, Decision Support System (DSS).