In today’s rapidly evolving technological landscape, the ability to bridge diverse fields of study is crucial for tackling the multifaceted challenges faced by industries. Generative Pre-trained Transformers (GPT), a breakthrough in artificial intelligence, exemplify this interdisciplinary potential. By seamlessly connecting industrial engineering, computer science, and other disciplines, GPT is driving innovation in areas where collaboration and integration are essential.

In this blog post, we will explore how GPT-based systems enable interdisciplinary applications, with a focus on their impact in human-computer interaction (HCI) and knowledge management. These applications align with Jurnal Optimasi Sistem Industri’s (JOSI) mission to foster interdisciplinary research and promote system optimization.

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.