ChatGPT-Based Preparation Tool for Industrial Engineer Certification Examinations

This study aims to evaluate the performance of artificial intelligence language models in the Industrial Engineer Certification Examination ‎and to analyze their accuracy across different subjects. A total of 750 past exam questions (from 2019 to 2024) across five subjects, namely ‎Quality Management, Production and Operations Management, Operations Research, Engineering Economics, and Human Factors ‎Engineering, were tested using ChatGPT-3.5 and ChatGPT-4o. The models’ responses were compared with standard answers to compute ‎accuracy rates and identify performance differences. Additionally, the Chain of Thought (CoT) and Tree of Thought (ToT) reasoning ‎frameworks were applied to incorrect responses from GPT-4o to assess improvements in reasoning. The results show that ChatGPT-4o ‎achieved significantly higher accuracy and reasoning coherence than ChatGPT-3.5, particularly in Quality Management and Production ‎Management. Overall, this study demonstrates the potential of generative AI as an effective tool for professional education and exam ‎preparation, offering insights for future model optimization and educational integration‎.