Concept of a Multi-Agent System for Optimised and Automated Engineering Change Implementation
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Ognjen Radisic-Aberger, Tim Weisser, Till Sassmannshausen, Johannes Wagner, Peter Burggr
Institution: University of Siegen, Germany
Section: Artificial Intelligence and Data-Driven Design
DOI number: https://doi.org/10.1017/pds.2022.171
ISSN: 2732-527X (Online)
Engineering changes are necessary to stay competitive, unavoidable and occur more frequently with increased product complexity. Currently, scheduling of engineering changes into production and supply chain is a manual process. With new possibilities in the field of artificial intelligence, this publication presents the vision of a flexible multi-agent system with four agents and a single shared database. By autonomously scheduling changes and predicting KPI impacts of implementation dates, the agent-system provides additional capacity and decision-making support to the organisation.