AI for Automating Manufacturing Work Instructions

Abstract

This paper investigates the role of Artificial Intelligence (AI) in revolutionizing the development of automated work instructions in modern production facilities, aligning with the advances of Industry 4.0. Traditional methods for creating work instructions are not only inefficient and costly but also prone to human error, impacting operational safety, quality, and productivity. AI-driven systems can automate the design of work instructions by generating visuals directly from CAD models, retrieving automated tool values, and ensuring accurate torque measurements through seamless access to authorized databases. This paper explores how AI enhances work instruction development, reduces human intervention, and optimizes workforce instruction management, demonstrating significant improvements in production efficiency and operational accuracy. The benefits of AI-driven work instruction systems, including enhanced precision, reduced errors, and improved process optimization, are examined in the context of modern manufacturing environments.