• Title/Summary/Keyword: Generic error modeling system

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An Analysis of Human Factor in Marine Accidents - Collision Accidents - (해양사고의 인적요인 분석에 관한 연구 - 선박충돌사고를 중심으로 -)

  • Yang Won-Jae;Kwon Suk-jae;Keum Jong-Soo
    • Proceedings of KOSOMES biannual meeting
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    • 2004.05b
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    • pp.7-11
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    • 2004
  • Maritime safety and marine environmental protection are the most important topic in marine society. But, so many marine accidents rave been occurred with the development of marine transportation industry. On the other side, ship is being operated under a highly dynamic environment and many factors are related with ship's collision Nowadays, the increasing tendency to the human errors of ship's collision is remarkable, and the investigation of the human errors has been heavily concentrated. This study analysed on the human errors of ship's collision related to the negligence of lookout and classified basic error type using GEMS(Generic Error Modeling System) dynamic model.

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A Hybrid Modeling Tool for Human Error Control of in Collaborative Workflow (협업 워크플로우에서의 인적오류 제어를 위한 하이브리드 모델링 도구)

  • 이상영;유철중;장옥배
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.2
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    • pp.156-173
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    • 2004
  • Business process should support the execution of collaboration process with agility and flexibility through the integration of enterprise inner or outer applications and human resources from the collaborative workflow view. Although the dependency of enterprise activities to the automated system has been increasing, human role is as important as ever. In the workflow modelling this human role is emphasized and the structure to control human error by analysing decision-making itself is needed. Also, through the collaboration of activities agile and effective communication should be constructed, eventually by the combination and coordination of activities to the aimed process the product quality should be improved. This paper classifies human errors can be occurred in collaborative workflow by applying GEMS(Generic Error Modelling System) to control them, and suggests human error control method through hybrid based modelling as well. On this base collaborative workflow modeling tool is designed and implemented. Using this modelling methodology it is possible to workflow modeling could be supported considering human characteristics has a tendency of human error to be controlled.

Classification of Human Errors in Ship′s Collision using GEMS Model (GEMS모델을 이용한 선박충돌사고의 인적과실 유형 분석)

  • Yang, Won-Jae;Ko, Jae-Yong;Keum, Jong-Soo
    • Journal of Navigation and Port Research
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    • v.28 no.3
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    • pp.161-167
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    • 2004
  • Maritime safety and marine environmental protection are the most important topic in marine society. But, so many marine accidents have been occurred with the development of marine transportation industry. On the other side, ship is being operated under a highly dynamic environment and many factors are related with ship's collision Nowadays, the increasing tendency to the human errors of ship's collision is remarkable, and the investigation of the human errors has been heavily concentrated. This study analysed on the human errors of ship's collision related to the negligence of lookout and classified basic error type using GEMS(Generic Error Modeling System) dynamic model.

Ubiquitous Computing Technology Based Environmental Monitoring and Diagnosis System : Architecture and Case Study (유비쿼터스 컴퓨팅 기술 기반 환경 모니터링/진단 시스템의 아키텍처 및 사례 연구)

  • Yoon, Joo-Sung;Hwang, Jung-Min;Suh, Suk-Hwan;Lee, Chang-Min
    • Journal of Korean Institute of Industrial Engineers
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    • v.36 no.4
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    • pp.230-242
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    • 2010
  • In this paper, an environmental monitoring and diagnosis system based on ubiquitous computing technology, shortly u-Eco Monitoring System, is proposed. u-Eco Monitoring System is designed to: 1) Collect information from the manufacturing processes via ubiquitous computing technology, 2) Analyze the current status, 3) Identify the cause of problem if detected by rule-based and case-based reasoning, and 4) Provide the results to the operator for proper decision making. Based on functional modeling, a generic architecture is derived, followed by application to a manufacturing system in iron and steel making industry. Finally, to show the validity of the proposed method, a prototype is developed and tested. The developed methods can be used as a conceptual framework for designing environmental monitoring and diagnosis system for industrial practices by which monitoring accuracy and response time for abnormal status can be significantly enhanced, and relieving operator pressure from manual monitoring and error-prone decision making.