Integrated computer-assisted process management

Abstract

Managing a manufacturing process involves monitoring, diagnosis, and control. An architecture that merges existing data collection and analysis systems with AI-based pattern-detection, interpretation, and decision-making facilities is described. Functions are performed by agents that distribute tasks and control in a way that can be closely tailored to the manufacturing environment. Technical principles and the development strategy are discussed, together with experiences on already operating components.<>