Manufacturing and Logistics

The industrial cooperation is one of the most important application areas of Agent Technology Center. The goal of this activity is to apply state of the art data engineering practices and algorithmization know-how to real world problems encountered within partner enterprises, including production planning, production scheduling and logistics domain assistive tools. This effort fits well into what is currently perceived as the most feasible way of integrating advanced AI algorithms to industry expert driven applications - not by conceptually replacing human factor, but instead helping human operators in sub-tasks where a computer is massively more efficient than human brain. Examples of successful technology transfer are project-oriented capacity planning system of Modelarna Liaz pattern shop, engine batch production planning tool for Gedas CR, and advanced planning system for FOXCONN CZ supporting supply demand matching optimization and flexible production planning.

Contact Person Jiří Vokřínek

The examples of the multi-agent systems applied in the manufacturing domain are (i) SimPlanT architecture - multi-agent model and simulation of the manufacturing process and (ii) "Kiwi" initiative demonstrating a multi-agent simulation of the supply chain logistics using Alite toolkit and (iii) demonstration of multi-agent planning and resource allocation in I-Globe system. Click on pictures bellow to see demonstration videos.