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Exploring and managing the complexity of large infrastructure projects with network theory and model‐based systems engineering—The example of radioactive waste disposal

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  • Andreas Poller

Abstract

Given that model‐based systems engineering (MBSE) captures the structure and behavior of an engineered system in an overarching system model, MBSE appears to be a promising approach to managing large infrastructure projects (LIPs). However, it is not apparent how to most appropriately organize the associated system model—and hence the infrastructure project itself. Furthermore, MBSE may today not be readily accepted by the civil engineering industry. In this research, a hypothetical project for the geological disposal of radioactive waste is taken as an example of an LIP and initial system models of the entire disposal project are created. Furthermore, a network representation of the project is generated and examined with network theory. Based on the results, different project organizations are synthesized and evaluated. Eventually, the initial system models are updated to accommodate the most suitable organization according to the network analysis results. In addition, the perception of, and attitude toward MBSE is assessed by means of a cross‐sectional survey in a civil engineering company. The generation of system models of LIPs is found to be straightforward. Network theory is able to unveil the complex structure of LIPs in order to identify the most suitable way to organize them and the associated system models. The survey results suggest that MBSE may find broad acceptance in the civil engineering industry.

Suggested Citation

  • Andreas Poller, 2020. "Exploring and managing the complexity of large infrastructure projects with network theory and model‐based systems engineering—The example of radioactive waste disposal," Systems Engineering, John Wiley & Sons, vol. 23(4), pages 443-459, July.
    • Handle: RePEc:wly:syseng:v:23:y:2020:i:4:p:443-459
    DOI: 10.1002/sys.21537
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    1. Eppinger, Steven D. & Browning, Tyson R., 2012. "Design Structure Matrix Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262017520, December.
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    Cited by:

    1. Arjan Kirkels & Vince Evers & Gerrit Muller, 2021. "Systems Engineering for the Energy Transition: Potential Contributions and Limitations," Sustainability, MDPI, vol. 13(10), pages 1-13, May.

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