Track: Graduate Student Paper Competition

Abstract

The recent surge in popularity of OpenAI's chatGPT, a Generative Pre-trained Transformer (GPT) model, has highlighted the potential of these large language models for a variety of tasks. More and more people are using chatGPT as a virtual assistant in their daily lives, from work to personal tasks, to enhance efficiency. The rise of GPT-related technology could transform the interaction between humans and machines into a collaborative team. This requires shared situational awareness, a level of understanding and agreement among team members on common aspects of the situation. Large, general-purpose multi-modal models like GPT have the potential to meet this requirement. Large global manufacturing organizations face many challenges in daily operations and management. These include the time and cost-intensive process of designing and developing new products and manufacturing processes, limited communication between factories in different countries, and the need for improved supply chain flexibility and risk management. The paper proposes a framework for a smart manufacturing system powered by a Generative Pre-trained Transformer (GPT) model. The system is designed to construct a human-AI team and aims to reduce costs and time in product and process design, enhance operational efficiency, and boost internal and external communication effectiveness.