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.
| Original language | English (US) |
|---|---|
| Title of host publication | Advances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017 |
| Publisher | Springer Verlag |
| Pages | 20-29 |
| Number of pages | 10 |
| Volume | 589 |
| ISBN (Print) | 9783319606446 |
| DOIs | |
| State | Published - 2018 |
| Event | AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017 - Los Angeles, United States Duration: Jul 17 2017 → Jul 21 2017 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 589 |
| ISSN (Print) | 2194-5357 |
Other
| Other | AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017 |
|---|---|
| Country | United States |
| City | Los Angeles |
| Period | 7/17/17 → 7/21/17 |
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Keywords
- Agent-based modeling
- Communication protocol
- Human error
- Nuclear power plant outages
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
Simulation-based optimization of resilient communication protocol for nuclear power plant outages. / Zhang, Cheng; Sun, Zhe; Tang, Pingbo; St. Germain, Shawn W.; Boring, Ronald.
Advances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017. Vol. 589 Springer Verlag, 2018. p. 20-29 (Advances in Intelligent Systems and Computing; Vol. 589).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Simulation-based optimization of resilient communication protocol for nuclear power plant outages
AU - Zhang, Cheng
AU - Sun, Zhe
AU - Tang, Pingbo
AU - St. Germain, Shawn W.
AU - Boring, Ronald
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Agent-based modeling
KW - Communication protocol
KW - Human error
KW - Nuclear power plant outages
UR - http://www.scopus.com/inward/record.url?scp=85023195660&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85023195660&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60645-3_3
DO - 10.1007/978-3-319-60645-3_3
M3 - Conference contribution
SN - 9783319606446
VL - 589
T3 - Advances in Intelligent Systems and Computing
SP - 20
EP - 29
BT - Advances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
PB - Springer Verlag
ER -