Industrial systems are rarely straightforward. They often involve complex, ill-structured problems influenced by human factors, organizational culture, and decision-making dynamics. These types of challenges, often addressed through soft systems methodologies, require innovative approaches to bridge gaps between technology, people, and processes. Generative Pre-trained Transformers (GPT), with their advanced natural language understanding capabilities, have emerged as a promising tool for optimizing soft systems in industrial engineering.

In this post, we explore how GPT can support soft systems methodologies by enhancing decision-making and facilitating effective communication among stakeholders.

Dear readers, the development of artificial intelligence has advanced to the point of daily application, impacting everyone from researchers to the general public. In line with this progress, Jurnal Optimasi Sistem Industri will explore how artificial intelligence, with a particular focus on Generative Pre-trained Transformers (GPT), aligns with the journal's focus and scope. We will publish a series of concise and accessible articles on this topic to ensure ease of reading and understanding.

We begin with this post: Exploring the Relevance of GPT in Industrial Engineering

Enjoy!