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Characterizing performance in socio-technical systems: A modeling framework in the domain of nuclear power

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  • Govindaraj, T.

Abstract

In modeling complex socio-technical systems, the critical nature of many interactions between human and automation are often unrecognized until the system experiences catastrophic consequences. One reason for this is that the systems are generally very robust and serious problems are rare. Another reason is the difficulty in modeling the variety of interactions in a manner compatible with analytical and/or computational models of the technological components of the system. Organizational issues and extraneous influences add to these modeling difficulties. We have developed a modeling framework that integrates certain ideas from social networks, graph theory, and simulation, all tied together using heuristics that reflect deep domain knowledge. This framework forms the basis for a computational implementation, portions of which have been implemented. Details of the model and the rationale for the model structure are described in this paper.

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  • Govindaraj, T., 2008. "Characterizing performance in socio-technical systems: A modeling framework in the domain of nuclear power," Omega, Elsevier, vol. 36(1), pages 10-21, February.
    • Handle: RePEc:eee:jomega:v:36:y:2008:i:1:p:10-21
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    References listed on IDEAS

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    1. Steven H. Strogatz, 2001. "Exploring complex networks," Nature, Nature, vol. 410(6825), pages 268-276, March.
    2. Michelle Girvan & M. E. J. Newman, 2001. "Community Structure in Social and Biological Networks," Working Papers 01-12-077, Santa Fe Institute.
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    1. Kunsch, P.L. & Kavathatzopoulos, I. & Rauschmayer, F., 2009. "Modelling complex ethical decision problems with operations research," Omega, Elsevier, vol. 37(6), pages 1100-1108, December.
    2. Qudrat-Ullah, Hassan, 2022. "A review and analysis of renewable energy policies and CO2 emissions of Pakistan," Energy, Elsevier, vol. 238(PB).
    3. Qudrat-Ullah, Hassan, 2015. "Independent power (or pollution) producers? Electricity reforms and IPPs in Pakistan," Energy, Elsevier, vol. 83(C), pages 240-251.
    4. Krzysztof Wróbel & Mateusz Gil & Przemysław Krata & Karol Olszewski & Jakub Montewka, 2023. "On the use of leading safety indicators in maritime and their feasibility for Maritime Autonomous Surface Ships," Journal of Risk and Reliability, , vol. 237(2), pages 314-331, April.
    5. Overholts II, Dale L. & Bell, John E. & Arostegui, Marvin A., 2009. "A location analysis approach for military maintenance scheduling with geographically dispersed service areas," Omega, Elsevier, vol. 37(4), pages 838-852, August.

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