Solving Resource and Process Optimization Problems Using AI Platforms

Abstract

In the last period, the use of artificial intelligence (AI) has seen a significant expansion in various socioeconomic fields, with the aim of making the time needed to perform various tasks more efficient. The academic field is no exception to this trend, being characterized by an increasing adoption of AI platforms, especially by students. These platforms are used to get quick but not always correct and complete solutions for lab assignments, seminars and assessments. The present work focuses on testing free variants of AI platforms, such as Chat GPT and Copilot, in the context of solving problems specific to the Operational Research domain. The covered issues include aspects such as activity planning, stock management and analysis of queuing systems. The main goal of the research is to evaluate the effectiveness of these AI tools in solving complex academic problems. In order to carry out a rigorous evaluation of the results generated by AI platforms, practical examples from the manual of Gamețchi and Solomon (2015) are used, where the solutions are already known. This approach allows a detailed comparison between the results provided by the AI and the solutions established in the manual, thus facilitating the identification of the strengths and limitations of each platform. Comparative analysis provides an in-depth understanding of the precision and utility of these tools in the academic context. As a result of the research, conclusions were obtained regarding the use of these tools in the educational process and their impact on uninitiated people in the field of problems that require solutions. UDC: 004.8:378.147; JEL: C02, C44, C50, C51, C65.