Abstract
In recent years, the interest in modeling complex engineering systems has grown rapidly. Due to their highly nonlinear nature coupled with their critical importance, the task of modeling such systems becomes a high-risk, high-payoff endeavor. There are many complexities associated with understanding and modeling the dynamics of such systems, these include functional, spatial and temporal complexities. The main objective of this paper is to present a modeling framework that enables the planning and evaluation of complex engineering systems taking into account these multidimensional complexities. The framework uses a multidimensional hierarchical decomposition of complex engineering systems combined with modeling techniques such as System Dynamics and Agent Based Modeling. Decomposition and modeling are integrated to simulate possible future states of the system and to evaluate different plans and scenarios for system evolution using key performance indicators (KPIs). The paper also presents a case study demonstrating the use of the proposed framework for an integrated water model applied to the kingdom of Saudi Arabia.
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References
Alfaris, A., et al.: Hierarchical decomposition and multi-domain formulation for the design of complex sustainable systems. Journal of Mechanical Design (2010)
Aschauer, D.A.: Why Is Infrastructure Important (1989)
Bar-Yam, Y.: Dynamics of complex systems (1997)
Bartolomei, J.E., Hastings, D.E., de Neufville, R., Rhodes, D.H.: Engineering Systems Multiple-Domain Matrix: An organizing framework for modeling large-scale complex systems. Syst. Engin. (2012)
Borshchev, A., et al.: From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools (2004)
de-Weck, et al.: Engineering systems: Meeting human needs in a complex technological world. MIT Press, Cambridge (2011)
Koller, D., et al.: Probabilistic Graphical Models: Principles and Techniques (2009)
Macal, C.: To Agent-Based Simulation From System Dynamics. In: Proceedings of the 2010 Winter Simulation Conference (2010)
Moldan, B.: How to understand and measure environmental sustainability: Indicators and targets. Ecological Indicators (2012)
Moldan, B.: Structuring problems in sustainability science: The multi-level DPSIR framework. Geoforum (2012)
Niemeijer, D., et al.: A conceptual framework for selecting environmental indicator sets. Ecological Indicators (2012)
Pederson, P., et al.: Critical Infrastructure Interdependency Modeling: A Survey of Critical Infrastructure Interdependency Modeling (2006)
Rinaldi, S.M.: Modeling and Simulating Critical Infrastructures and Their Interdependencies (2004)
Schieritz, N.: Integrating System Dynamics and Agent-Based Modeling
Schieritz, N., et al.: Modeling the Forest or Modeling the Trees A Comparison of System Dynamics and Agent-Based Simulation (2001)
Smeets, E., et al.: Environmental indicators: Typology and overview. Prepared by: Project Managers
Sterman, J.D.: System Dynamics Modeling: Tools for Learning in a Complex World (2001)
Sussman, J.M., et al.: The “ CLIOS PROCESS” (2009)
Teose, M., et al.: Embedding System Dynamics in Agent Based Models for Complex Adaptive Systems (2007)
Ullman, D.G.: Making Robust Decisions: Decision Management For Technical, Business, and Service Teams
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© 2014 Springer International Publishing Switzerland
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Alabdulkareem, A., Alfaris, A., Sakhrani, V., Alsaati, A., de Weck, O. (2014). The Multidimensional Hierarchically Integrated Framework (MHIF) for Modeling Complex Engineering Systems. In: Aiguier, M., Boulanger, F., Krob, D., Marchal, C. (eds) Complex Systems Design & Management. Springer, Cham. https://doi.org/10.1007/978-3-319-02812-5_22
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DOI: https://doi.org/10.1007/978-3-319-02812-5_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02811-8
Online ISBN: 978-3-319-02812-5
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