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Information Systems Frontiers

Erschienen in:

01.04.2015

Risk assessment model based on multi-agent systems for complex product design

verfasst von: Ni Li, Xiang Li, Yuzhong Shen, Zhuming Bi, Minghui Sun

Erschienen in: Information Systems Frontiers | Ausgabe 2/2015

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Abstract

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.

Vorheriger Artikel The role of social media in supporting knowledge integration: A social capital analysis

Nächster Artikel The information technology workforce: A review and assessment of voluntary turnover research

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Anderson, J., Matessa, M., & Lebiere, C. (1997). ACT-R: a theory of higher level cognition and its relation to visual attention. Human Computer Interaction, 12(4), 439–462.CrossRef

Bilal, M., Persson, C., Ramparany, F., Picards, G., & Boissier, O. (2012). Multi-agent based governance model for machine-to-machine networks in a smart parking management system. Proceedings of 2012 I.E. International Conference on Communications (pp. 6488–6472). Ottawa, Canada.

Browaeys, M., & Baets, W. (2003). Cultural complexity: a new epistemological perspective. The Learning Organization, 10(6), 332–339.CrossRef

Bulter, T., & McGovern, D. (2012). A conceptual model and IS framework for the design and adoption of environmental compliance management systems. Information Systems Frontiers, 14(2), 221–235.CrossRef

Burns, J., Noonan, J., Kichak, L., & Van Doren, B. (2001). NASA risk assessment and management roadmap. Proceedings of 2001 Systems Engineering Capstone Conference (pp. 183–188). University of Virginia.

Chapman, C. (1979). Large engineering project risk analysis. IEEE Transactions on Engineering Management, 26(3), 78–86.CrossRef

Charania, A., Olds, J., & DePasquale, D. (2006). Sub-orbital space tourism: Predictions of the future marketplace using agent-based modeling. Proceedings of 57th International Astronautical Congress. Valencia, Spain, 2006.

Chen, Z., & Xu, L. (2001). An object-oriented intelligent CAD system for ceramic kiln. Knowledge-Based Systems, 14, 263–270.CrossRef

Dong, H., Deng, X., Gao, D., & Li, X. (2011). Post-earthquake emergency rescue system based on multi-agent simulation. Proceedings of IEEE 18th International Conference on Industrial Engineering and Engineering Management, 2011.

Feng, S., Min, J., Tang, C., & Xu, L. (2003a). A programmable agent for knowledge discovery on the web. Expert Systems, 20(2), 79–85.CrossRef

Feng, S., Xu, L., Tang, C., & Yang, S. (2003b). An intelligent agent with layered architecture for operating systems resource management. Expert Systems, 20(4), 171–178.CrossRef

Fritzsche, M., Kittel, K., Blankenburg, A., & Vajna, S. (2012). Multidisciplinary design optimization of a recurve bow on applications of the autogenetic design theory and distributed computing. Enterprise Information Systems, 6(3), 329–343.CrossRef

Gao, X., Xu, L., Wang, X., Li, Y., Yang, M., & Liu, Y. (2013). Workflow process modeling and resource allocation based on polychromatic sets theory. Enterprise Information Systems, 7(2), 198–226.CrossRef

Ghanem, A., Minai, A., & Uber, J. (2010). A multi-agent model for the co-evolution of ideas and communities. Proceedings of IEEE Congress on Evolutionary Computation (CEC) (pp. 1–8). Barcelona, Spain.

Gottschalk, P. (2010). Knowledge management technology for organized crime risk assessment. Information Systems Frontiers, 12(3), 267–275.CrossRef

Griffin, A., & Stanish, C. (2007). An agent-based model of prehistoric settlement patterns and political consolidation in the Lake Titicaca Basin of Peru and Bolivia. Structure and Dynamics, 2(2).

Hasanzadeh, M., Tavakolirad, Z., & Abbasi, P. (2011). Review of affective factors on cost, time and quality of construction projects in developing countries. Proceedings of 2011 2nd IEEE International Conference on Emergency Management and Management Sciences (pp. 858–861). 2011.

Hua, S., & Ling, B. (2010). The fuzzy integrative evaluation model and empirical study of enterprise strategy risk based on AHP-entropy combination weight method. Proceedings of 2010 International Conference on Management Science and Engineering. Melbourne, 2010.

Kamo, J., & Phillips, F. (1997). The evolutionary organization as a complex adaptive system. Proceedings of Portland International Conference on Management and Technology (pp. 325–330). Portland, OR.

Kim, K., & Ellis, C. (2001). Performance analytic models and analyses for workflow architectures. Information Systems Frontiers, 3(3), 339–355.CrossRef

Kim, M., Lee, H., & Nam, W. (2011). A model of multi-agent design for virtualization resource configuration in cloud Computing. Proceedings of 2011 First ACIS/JNU International Conference on Computers, Networks, Systems, and Industrial Engineering (pp. 234–239). Jeju Island, 2011.

Lai, W., Chiu, D., & Feng, Z. (2013). A collaborative food safety service agent architecture with alerts and trust. Information Systems Frontiers, 15, 599–612.CrossRef

Lehman, J., Laird, J., & Rosenbloom, P. (2006). A gentle introduction to soar, an architcture for human cognition: 2006 update. Retrieved 17 May 2007 from http://ai.eecs.umich.edu/soar/sitemaker/docs/misc/GentleIntroduction-2006.pdf.

Levinthal, D. (1997). Adaptation on rugged landscapes. Management Science, 43(7), 934–950.CrossRef

Levy, D. (1994). Chaos theory and strategy: theory, application, and managerial implications. Strategic Management Journal, 15(S2), 167–178.CrossRef

Li, L., & Liu, J. (2012). An efficient and flexible web services-based multidisciplinary design optimization framework for complex engineering systems. Enterprise Information Systems, 6(3), 345–371.CrossRef

Li, Y., Hou, M., Liu, H., & Liu, Y. (2012a). Towards a theoretical framework of strategic decision, supporting capability and information sharing under the context of Internet of Things. Information Technology and Management, 13(4), 205–216.CrossRef

Li, S., Xu, L., & Wang, X. (2012b). Compressed sensing signal and data acquisition in wireless sensor networks and internet of things. IEEE Transactions on Industrial Informatics. doi:10.1109/TII.2012.2189222.

Li, Y., Cao, B., Xu, L., Yin, J., Deng, S., Yin, Y., Wu, Z. (2013). An efficient recommendation method for improving business process modeling. IEEE Transactions on Industrial Informatics. doi:10.1109/TII.2013.2258677.

Lin, Y., Duan, X., Zhao, C., & Xu, L. (2013). Systems science methodological approaches. CRC Press: New York.

Liu, Q., & Wang, C. (2012). Multi-terminal pipe routing by Steiner minimal tree and particle swarm optimization. Enterprise Information Systems, 6(3), 315–327.CrossRef

Liu, W., Du, Y., & Yan, C. (2012). Soundness preservation in composed logical time workflow nets. Enterprise Information Systems, 6(1), 95–113.CrossRef

Macal, C., & North, M. (2010). Tutorial on agent-based modeling and simulation. Journal of Simulation, 4, 151–162.CrossRef

Marion, R. (1999). The edge of organization: Chaos and complexity theories of formal social systems. Sage Publications, Inc.: California.

Mock, K., & Testa, J. (2007). An agent-based model of predator-prey relationships between transient killer whales and other marine mammals. Anchorage: University of Alaska Anchorage.

Monakova, G., & Leymann, F. (2013). Workflow ART: a framework for multidimensional workflow analysis. Enterprise Information Systems, 7(1), 133–166.CrossRef

Pan, X., Wang, H., & Chang, W. (2010). A fuzzy synthetic evaluation method for failure risk of aviation product R&D project. Proceedings of 2010 I.E. International Conference on Management of Innovation and Technology. Singapore, 2010.

Pathak, S., & Dilts, D. (2002). Simulation of supply chain networks using complex adaptive system theory. Proceedings of 2002 I.E. International Engineering Management Conference (pp. 655–660). 2002.

Pritchard, C. (2010). Risk management: Concepts and guidance (4th ed.). ESI International.

Quan, Y., & Long, Z. (2008). Research on risk evaluation and risk optimization of IT projects. Proceedings of International Conference on Information Management, Innovation Management and Industrial Engineering (pp. 119–123). Taipei, 2008.

Ren, C., Ren, S., Chai, Y., Liu, Y., & Tian, C. (2002). Modeling agile supply chain dynamics: A complex adaptive system perspective. Proceedings of 2002 I.E. International Conference on Systems, Man and Cybernetics, 2002.

Ren, L., Zhang, L., Tao, F., Zhang, X., Luo, Y., & Zhang, Y. (2012). A methodology towards virtualization-based high performance simulation platform supporting multidisciplinary design of complex products. Enterprise Information Systems, 6(3), 267–290.CrossRef

Rupert, M., Hassasaz, S., & Rattrout, A. (2006). The web and complex adaptive systems. Proceedings of the 20th International Conference on Advanced Information Networking and Applications (pp. 200–204). Vienna, 2006.

Shi, Y., Song, Y., Li, H., & Yan, J. (2011). System analysis of enterprise network based on complex adaptive system theory. Proceedings of 2011 I.E. International Conference on Grey Systems and Intelligent Services (pp. 626–630). Nanjing, 2011.

Silverman, B., Johns, M., Cornwell, J., & O’Brien, K. (2006). Human behavior models for agents in simulators and games: part I: enabling science with PMFserv. Presence: Teleoperators & Virtual Environments, 15(2), 139–162.CrossRef

Stacey, R. (1995). The science of complexity: an alternative perspective for strategic change processes. Strategic Management Journal, 16(6), 477–495.CrossRef

Strecker, S., Heise, D., & Frank, U. (2011). RiskM: a multi-perspective modeling method for IT risk management. Information Systems Frontiers, 13(4), 595–611.CrossRef

Tang, C., Xu, L., & Feng, S. (2001). An agent-based geographical information system. Knowledge-Based Systems, 14, 233–242.CrossRef

Tolentino, P. (2002). Hierarchical pyramids and heterarchical networks: organisational strategies and structures of multinational corporations and its impact on world development. Contributions to Political Economy, 21(1), 69–89.CrossRef

Vakili, G., & Khorsandi, S. (2010). Engineering a peer to peer architecture: A complex adaptive system approach. Proceedings of 2010 4th Annual IEEE Systems Conference (pp. 520–523). San Diego, CA, 2010.

Viriyasitavat, W., Xu, L., & Martin, A. (2012). SWSpec: the requirements specification language in service workflow environment. IEEE Transactions on Industrial Informatics, 8(3), 631–638.CrossRef

Wang, C. (2012). Editorial advances in information integration infrastructures supporting multidisciplinary design optimization. Enterprise Information Systems, 6(3), 265.CrossRef

Wang, C., & Xu, L. (2008). Parameter mapping and data transformation for engineering application integration. Information Systems Frontiers, 10(5), 589–600.CrossRef

Wang, X., & Xu, X. (2012). DIMP: an interoperable solution for software integration and product data exchange. Enterprise Information Systems, 6(3), 291–314.CrossRef

Wang, C., Xu, L., & Peng, W. (2007). Conceptual design of remote monitoring and fault diagnosis systems. Information Systems, 32, 996–1004.CrossRef

Wang, L., Shi, H., Yu, S., Li, H., Liu, L., Bi, Z., et al. (2012). An application of enterprise systems in quality management. Information Technology and Management, 13(4), 389–402.CrossRef

Wei, C., Khoury, R., & Fong, S. (2013). Web 2.0 recommendation service by multi-collaborative filtering trust network algorithm. Information Systems Frontiers, 15, 533–551.CrossRef

Xing, Y., Li, L., Bi, Z., Wilamowska-Korsak, M., & Zhang, L. (2013). Operations research (OR) in service industries: a comprehensive review. Systems Research and Behavioral Science, 30(3), 300–353.CrossRef

Xu, L. (2011a). Information architecture for supply chain quality management. International Journal of Production Research, 49(1), 183–198.CrossRef

Xu, L. (2011b). Enterprise systems: state-of-the-art and future trends. IEEE Transactions on Industrial Informatics, 7(4), 630–640.CrossRef

Xu, L. (2013). Introduction: systems science in industrial sectors. Systems Research and Behavioral Science, 30(3), 211–213.CrossRef

Xu, P., & Zhu, H. (2007). Project risk analyis theory-methods and applications. Changsha: National University of Defense Technology Press.

Xu, L., Li, Z., Li, S., & Tang, F. (2005). A polychromatic sets approach to the conceptual design of machine tools. International Journal of Production Research, 43(12), 2397–2422.CrossRef

Xu, L., Li, Z., Li, S., & Tang, F. (2007). A decision support system for product design in concurrent engineering. Decision Support Systems, 42(4), 2029–2042.CrossRef

Xu, L., Liu, H., Wang, S., & Wang, K. (2009). Modeling and analysis techniques for cross-organizational workflow systems. Systems Research and Behavioral Science, 26(3), 367–390.CrossRef

Xu, Y., Gao, P., Liu, Z., & Xu, P. (2011). Armed forces knowledge management risk evaluation based on FNN. Proceedings of IEEE 18th International Conference on Industrial Engineering and Engineering Management (pp. 1833–1837). Changchun, 2011.

Xu, L., Wang, C., Bi, Z., & Yu, J. (2012). AutoAssem: an automated assembly planning system for complex products. IEEE Transactions on Industrial Informatics, 8(3), 669–678.CrossRef

Xu, L., Wang, C., Bi, Z., & Yu, J. (2013). Object-oriented templates for automated assembly planning of complex products. IEEE Transactions on Automation Science and Engineering, Digital Object Identifier. doi:10.1109/TASE.2012.2232652.

Yin, Y., Xie, J., Xu, L., & Chen, H. (2012). Imaginal thinking based human-machine design methodology for the configuration of reconfigurable machine tools. IEEE Transactions on Industrial Informatics, 8(3), 659–668.CrossRef

Yin, Y., Xu, L., Bi, Z., & Chen, H. (2013). Novel human-machine collaborative interface for aero-engine pipe routing. IEEE Transactions on Industrial Informatics, Digital Object Identifier:. doi:10.1109/TII.2013.2257805.

Yu, J., Xu, L., Bi, Z., & Wang, C. (2013). Extended interference matrices for exploded views of assembly planning. IEEE Transactions on Automation Science and Engineering, Digital Object Identifier:. doi:10.1109/TASE.2012.2235144.

Zeng, M., Feng, Y., & Tian, K. (2007). Risk evaluation and avoidance of electric customers in China. Proceedings of International Power Engineering Conference (pp. 719–723). Singapore, 2007.

Zhang, G. (2010). The risk analysis and evaluation of Shanghai Changjiang Tunnel and bridge engineering projects. Proceedings of International Conference on Innovative Computing and Communication. Macao, 2010.

Zhang, Y., Li, Z., Xu, L., & Wang, J. (2011). A new method for automatic synthesis of tolerances for complex assemblies based on polychromatic sets. Enterprise Information Systems, 5(3), 337–358.CrossRef

Titel: Risk assessment model based on multi-agent systems for complex product design
verfasst von: Ni Li
Xiang Li
Yuzhong Shen
Zhuming Bi
Minghui Sun
Publikationsdatum: 01.04.2015
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 2/2015
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-013-9452-7

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