Imane Basiry - Dept. of Computer Eng., Sheikh Bahaee University, Isfahan, Iran
Nasser Ghasem-Aghaee - Dept. of Computer Eng., Sheikh Bahaee University, Isfahan, Iran

Today, scheduling is a basic activity in large scale systems which have unexpected and high complexity demands. Instances of these complex systems can be found in manufacturing, logistics, economics, traffic control, and biology (e.g. in social insects and immune systems). Scheduling is more important in crisis conditions for large scale systems. Industrial crises such as economic and demands changes, breakdown, repair or upgrade of machines in industrial environment, have side effects on produce or to do services, so system controllers must have robust strategy to solve crises in large scale systems. Multi-agent based architecture is distributed collections of interacting entities which function without a supervisor. The advantage of holonic self-organization concepts lies in the fact that they help to achieve more efficient performance. According to these principles, several approaches have been designed; however, these approaches are too weak to handle emergency demands in an industrial environment. This chapter addresses the concepts of multi-agent and holonic systems and discusses their advantages and weak points. Afterwards, a holonic control architecture is proposed to improve weak points. The main objective of this architecture is to solve crises in large scale systems for basic holarchy architecture that presented in previous article, without time and complexity overload. To reach this purpose, the concept of behavioral self organization and task priority are attempted. Task priority in an unexpected situation cause reduce time delay to handle critical tasks. The architecture was tested in a simulation environment.

Multi-agent systems, Holonic systems, Self-organization, Task priority, parallel processing, Scheduling