Title :
Evaluating reactive scheduling systems
Author_Institution :
Database & Artificial Intelligence Group, Vienna Univ. of Technol., Austria
Abstract :
A knowledge-based test environment for reactive schedulers is proposed. This environment can be used to evaluate and compare the performance of reactive scheduling systems in different scheduling problems including supply chain management problems. The environment simulates autonomous agents that order products, supply raw material, dispatch scheduled operations in a plant and supervise the plan execution.
Keywords :
knowledge based systems; scheduling; supply chain management; autonomous agents; knowledge-based test environment; plan execution supervision; reactive scheduling systems; scheduled operation dispatching; supply chain management problems; Artificial intelligence; Autonomous agents; Databases; Job shop scheduling; Optimal scheduling; Robust stability; Robustness; Supply chain management; Testing; Uncertainty;
Conference_Titel :
Intelligent Agent Technology, 2004. (IAT 2004). Proceedings. IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2101-0
DOI :
10.1109/IAT.2004.1342995
