caa a22 4500 606229302 CHVBK 20210128101208.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10796-013-9452-7 doi (NATIONALLICENCE)springer-10.1007/s10796-013-9452-7 Risk assessment model based on multi-agent systems for complex product design [Elektronische Daten] [Ni Li, Xiang Li, Yuzhong Shen, Zhuming Bi, Minghui Sun] Design of a complex product takes a long and intricate process, and mostly, it has the multidisciplinary nature. The design can become even challenging if the product to be designed is totally new since numerous technical challenges and uncertainties are involved. In this paper, the risk assessment for complex product design is discussed, and the quantification of the risk is focused. A new risk model has been proposed; which is based on Multi-Agent Systems (MAS). With the consideration of the similarity between the design of a product and that of an adaptive system, a hierarchical network is used to represent the design process based on an agent-based approach. In the proposed model, the concept of material flow is conceived to describe the interactions among agents, and the risks associated with the design activities are analyzed using the probabilistic assessment tools to simulate the risk propagation. The risk assessment is parameterized and implemented in the platform of the Recursive Porous Agent Simulation Toolkit (Repast), and the risk level was quantified by using the Monte Carlo Simulation method. To demonstrate the effectiveness of the proposed model, experiments are conducted with two typical scenarios, and simulation results are analyzed in details. Finally, the future work based on the developed model is discussed. Springer Science+Business Media New York, 2013 Risk assessment nationallicence Multi-agent systems nationallicence Risk propagation nationallicence Quantitative simulation nationallicence Li Ni School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China aut Li Xiang School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China aut Shen Yuzhong Department of Modeling, Simulation and Visualization Engineering, Old Dominion University, 23529, Norfolk, VA, USA aut Bi Zhuming Department of Engineering, Indiana University-Purdue University Fort Wayne, 46805-1499, Fort Wayne, IN, USA aut Sun Minghui School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/2(2015-04-01), 363-385 1387-3326 17:2<363 2015 17 10796 https://doi.org/10.1007/s10796-013-9452-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-013-9452-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Ni School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Li Xiang School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Shen Yuzhong Department of Modeling, Simulation and Visualization Engineering, Old Dominion University, 23529, Norfolk, VA, USA aut NATIONALLICENCE 700 1- Bi Zhuming Department of Engineering, Indiana University-Purdue University Fort Wayne, 46805-1499, Fort Wayne, IN, USA aut NATIONALLICENCE 700 1- Sun Minghui School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/2(2015-04-01), 363-385 1387-3326 17:2<363 2015 17 10796