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Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure shutdowns

Zhe SUN, Cheng ZHANG, Pingbo TANG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 109-121 doi: 10.1007/s42524-019-0084-6

Abstract: Handoff processes during civil infrastructure operations are transitions between sequential tasks. Typical handoffs constantly involve cognitive and communication activities among operations personnel, as well as traveling activities. Large civil infrastructures, such as nuclear power plants (NPPs), provide critical services to modern cities but require regular or unexpected shutdowns (i.e., outage) for maintenance. Handoffs during such an outage contain interwoven workflows and communication activities that pose challenges to the cognitive and communication skills of handoff participants and constantly result in delays. Traveling time and changing field conditions bring additional challenges to effective coordination among multiple groups of people. Historical NPP records studied in this research indicate that even meticulous planning that takes six months before each outage could hardly guarantee sufficient back-up plans for handling various unexpected events. Consequently, delays frequently occur in NPP outages and bring significant socioeconomic losses. A synthesis of previous studies on the delay analysis of accelerated maintenance schedules revealed the importance and challenges of handoff modeling. However, existing schedule representation methods could hardly represent the interwoven communication, cognitive, traveling, and working processes of multiple participants collaborating on completing scheduled tasks. Moreover, the lack of formal models that capture how cognitive, waiting, traveling, and communication issues affect outage workflows force managers to rely on personal experiences in diagnosing delays and coordinating multiple teams involved in outages. This study aims to establish formal models through agent-based simulation to support the analytical assessment of outage schedules with full consideration of cognitive and communication factors involved in handoffs within the NPP outage workflows. Simulation results indicate that the proposed handoff modeling can help predict the impact of cognitive and communication issues on delays propagating throughout outage schedules. Moreover, various activities are fully considered, including traveling between workspaces and waiting. Such delay prediction capability paves the path toward predictive and resilience outage control of NPPs.

Keywords: NPP outage     human error     team cognition     handoff modeling    

Cognition Field of Chinese Medical Knowledge and Some Special Topics

Fu Jinghua

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 7-10

Abstract: In order to make TCM more understood, the paper describes the cognition field, cognition process, the

Keywords: Chinese medical knowledge     cognition field     theory of TCM    

Instrumented toys for assessing spatial cognition in infants

Domenico CAMPOLO, Fabrizio TAFFONI, Domenico FORMICA, Flavio KELLER, Eugenio GUGLIELMELLI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 82-88 doi: 10.1007/s11465-011-0208-0

Abstract: specifications are derived from experimental protocols devised by neuroscientists to assess spatial cognition

Keywords: inertial-magnetic sensing     in-field calibration     neuro-developmental engineering     ecological assessment    

Mirror system based therapy for autism spectrum disorders

CHEN Wei, ZHANG Jing, DING Jun

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 344-347 doi: 10.1007/s11684-008-0065-3

Abstract: show obvious lack of the activation of the mirror system during the task of observation or emotional cognition

Keywords: emotional cognition     observation     activation     spectrum     empirical research    

Agriculture Front 2017

Agriculture Project Team

Engineering Fronts 2017, Volume 1, Issue 1,   Pages 179-197

Agriculture Front 2018

Agriculture Project Team

Engineering Fronts 2018, Volume 2, Issue 1,   Pages 164-182

Agriculture Front 2019

Agriculture Project Team

Engineering Fronts 2019, Volume 3, Issue 1,   Pages 150-170

Agriculture Front 2020

Agriculture Project Team

Engineering Fronts 2020, Volume 4, Issue 1,   Pages 149-173

A Description Model for Dynamic Evolution of Robot Team Formation

Li Shuqin,Cheng Xianyi,Tang Zhenmin,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 4,   Pages 28-31

Abstract:

At present, there are some conception confusions about organization, team and group, and also teamusing Markov course and evolution calculation theory for reference, researches the difference between teamand organization in conception and the formation mechanism of robot team from cooperative entity layerThis paper proposes and describes a dynamic evolution model about robot team formation.course of the team formation.

Keywords: robot     robot team     dynamical evolution    

Learning deep IA bidirectional intelligence Personal View

Lei XU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 558-562 doi: 10.1631/FITEE.1900541

Abstract: actions: one is the acquiring action, which gets inputs in appropriate patterns, and the other is A-S cognition

Keywords: Abstraction     Least mean square error reconstruction (Lmser)     Cognition     Image thinking     Abstract thinking    

Agriculture Front 2021

Agriculture Project Team

Engineering Fronts 2021, Volume 5, Issue 1,   Pages 154-180

Agriculture Front 2022

Agriculture Project Team

Engineering Fronts 2022, Volume 6, Issue 1,   Pages 174-201

Agriculture Front 2023

Agriculture Project Team

Engineering Fronts 2023, Volume 7, Issue 1,   Pages 181-208

Engineering Management Front 2019

Engineering Management Project Team

Engineering Fronts 2019, Volume 3, Issue 1,   Pages 199-225

Cognition and practice of engineeredwarship equipment integrated logisticsupport

Li Fang,Di Peng,Hu Bin and Xu Yifan

Strategic Study of CAE 2015, Volume 17, Issue 5,   Pages 10-13

Abstract:

With the significant increase of the complexity of warship equipment and difficulty of warship equipment support,in order to make sure warship equipment has good supportability,it’s important to improve related work for engineered warship equipment integrated logistic support(ILS). The content of engineered warship equipment ILS is discussed,and its major work and efficient method in practice is summarized. Moreover,the problems and corresponding suggestions about engineered warship equipment ILS are discussed.

Keywords: reliability;maintainability;supportability;quantitative indicators    

Title Author Date Type Operation

Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure shutdowns

Zhe SUN, Cheng ZHANG, Pingbo TANG

Journal Article

Cognition Field of Chinese Medical Knowledge and Some Special Topics

Fu Jinghua

Journal Article

Instrumented toys for assessing spatial cognition in infants

Domenico CAMPOLO, Fabrizio TAFFONI, Domenico FORMICA, Flavio KELLER, Eugenio GUGLIELMELLI

Journal Article

Mirror system based therapy for autism spectrum disorders

CHEN Wei, ZHANG Jing, DING Jun

Journal Article

Agriculture Front 2017

Agriculture Project Team

Journal Article

Agriculture Front 2018

Agriculture Project Team

Journal Article

Agriculture Front 2019

Agriculture Project Team

Journal Article

Agriculture Front 2020

Agriculture Project Team

Journal Article

A Description Model for Dynamic Evolution of Robot Team Formation

Li Shuqin,Cheng Xianyi,Tang Zhenmin,Yang Jingyu

Journal Article

Learning deep IA bidirectional intelligence

Lei XU

Journal Article

Agriculture Front 2021

Agriculture Project Team

Journal Article

Agriculture Front 2022

Agriculture Project Team

Journal Article

Agriculture Front 2023

Agriculture Project Team

Journal Article

Engineering Management Front 2019

Engineering Management Project Team

Journal Article

Cognition and practice of engineeredwarship equipment integrated logisticsupport

Li Fang,Di Peng,Hu Bin and Xu Yifan

Journal Article