Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Sensing danger: Innate immunology for intrusion detection
Information Security Tech. Report
A holonic approach to dynamic manufacturing scheduling
Robotics and Computer-Integrated Manufacturing
A stigmergic approach for dynamic routing of active products in FMS
Computers in Industry
Distributed control of production systems
Engineering Applications of Artificial Intelligence
Active diagnosis by self-organization: an approach by the immune network metaphor
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Integrated maintenance and control policy based on quality control
Computers and Industrial Engineering
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
Applied Soft Computing
Agent-based error prevention algorithms
Expert Systems with Applications: An International Journal
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One of the major issues in the monitoring and control of manufacturing systems is to determine how to effectively deal with unexpected disruptions (e.g. material unavailability, resource failures, unavailability of operators, rush orders, etc.). Existing approaches and tools offer few concepts that are specific enough and sufficiently generic to help in handling a broad variety of such unexpected events. The biological immune system potentially offers interesting features to face the threats (bacteria, viruses, cancers, etc.) that may harm an organism. This research aims to investigate this potential for the monitoring and control of manufacturing systems at the occurrence of disruptions. Based on analogies that we point out, we suggest a framework to help with the design of software tools that are more able to assist decision makers in dealing with various types of disruptions occurring in a manufacturing system. A first prototype implementation, developed using a multi agent approach, contributes to show the feasibility and the interest of this immune based framework.