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Simulation-Based Optimization of Resilient Communication Protocol for Nuclear Power Plant Outages

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Book cover Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 589))

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Abstract

During Nuclear power plant (NPP) outages, communications between outage participants (e.g., workers, managers, engineers) can be tedious and error-prone due to complicated organization of outage processes and crews, the extremely busy schedule with a 10-minute level of detail, and many people working in the field. Therefore, precisely predicting and controlling the time wasted during communications and remedying miscommunications can improve the NPP outage productivity. A communication protocol is a set of rules defining the organization structures, timing, channel, and content of communication according to the information transition needs of a workflow. In order to reduce the time wasted and ineffective information transition due to human errors in communications, the authors propose a communication protocol optimization according to the as-planned workflow. This optimization study evaluates how different communication protocols in an outage workflow will influence the time wasted under the influence of human errors and task duration uncertainties. The simulation results indicate that the proposed method can provide a reliable reference of improving the communication protocol in NPP outage workflows.

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Acknowledgements

This material is based upon work supported by the U.S. Department of Energy (DOE), Nuclear Engineering University Program (NEUP) under Award No. DE-NE0008403. DOE’s support is acknowledged. Any opinions and findings presented are those of authors and do not necessarily reflect the views of DOE.

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Correspondence to Pingbo Tang .

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Zhang, C., Sun, Z., Tang, P., St. Germain, S.W., Boring, R. (2018). Simulation-Based Optimization of Resilient Communication Protocol for Nuclear Power Plant Outages. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2017. Advances in Intelligent Systems and Computing, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-319-60645-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-60645-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60644-6

  • Online ISBN: 978-3-319-60645-3

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