Towards a Holonic Multiple Aspect Analysis and Modeling Approach for Complex Systems: Application to the Simulation of Industrial Plants Sebastian Rodriguez a Vincent Hilaire a AbderrafiˆaaKoukam a a Laboratory of Systems and Transports Universit´ e de Technologie de Belfort-Montb´ eliard 90010 Belfort Cedex France Abstract In complex systems, multiple aspects interact and influence each other. A vast number of entities are present in the system. Traditional modeling and simulation techniques fail to capture interactions between loosely coupled aspects of a complex system. In this work, we describe a generic framework for modeling and analysis of naturally distributed and complex systems based on Holonic Multi-Agent paradigm. We illustrate the suitability of our generic model by applying it to the modeling and simulation of an important industrial plant in the east of france. Key words: simulation methodology, holonic multi-agent systems, views 1 Introduction In the past years researchers have deployed a considerable effort in the anal- ysis, modeling and simulation of complex systems. Their work has improved our understanding and methodologies to design software capable of simulating such systems. In order to simulate its behaviour, we need first a model of the real world. However, to obtain a reliable model, we can not analyze a complex system with only one dimension. In complex systems multiple aspects interact and influence each other. It is essentially this characteristic that attracts the in- terests of researchers and where lies the difficulty of this type of systems. One possible way to reduce complexity is to divide the analysis objectives in Preprint submitted to Elsevier Science 20 February 2007