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Management of human and organizational error in operations of marine systems.

机译:管理海洋系统运行中的人为和组织错误。

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摘要

The source of a majority (more than 80%) of high-consequence marine accidents can be attributed to compounded human and organizational errors (HOE). Recent examples include the Exxon Valdez tanker grounding (258,000 barrels of oil spilled), and the Occidental Piper Alpha platform explosions and fires (167 men killed). Currently, there is no structured quantitative approach to assist engineers, operators, and regulators of marine systems to either design HOE tolerant systems or to include considerations of HOE as an integral part of the design, construction, and operation of marine systems. The human element has generally been ignored.; The objective of this dissertation is to introduce a quantitative modeling methodology to assess the impacts of HOE in operation of tankers and offshore platforms. This methodology includes a systematic approach to structuring critical elements that lead to accident scenarios and a quantitative modeling procedure to assess the impacts of operational risks under various operating conditions that can lead to these scenarios.; The modeling methodology incorporates structuring accident scenarios into underlying, direct, and compounding factors. Diagrammatic representations of the unique factors leading to accident scenarios using influence diagrams are proposed. The diagrams are used to develop simplified general "templates" for that particular class of accident. The function of the templates are to form a basis that preserve the central causative mechanisms for a similar operation, yet do not preserve the unique aspects of the disaster being modeled.; Insufficient and unreliable data linking complex effects of human errors to marine casualties has led to limitations in quantitative human error modeling. A quantitative measuring technique, the Human Error Safety Index Method (HESIM), has been proposed that measures organizational, task and system complexities, and environmental factors that affect operators abilities to perform decisions and actions to mitigate or aggravate accident events. These measurement techniques rely upon judgments and experiences of those familiar with the operations being modeled and objective data to formulate a "safety index". A methodology for collection of the objective data, the Human and Organizational Error Data Quantification System (HOEDQS), is also proposed. The HOEDQS allows updating of human errors such that there becomes a greater reliance upon objective data and less upon the judgmental indexing procedure.; Two marine casualties were identified as case study examples for confirmation of the modeling procedures: the Exxon Valdez and Piper Alpha disasters. These casualties were selected because of the quality, completeness, accessibility, and availability of information related to the accident events. The unique aspects of each disaster are modeled and templates are developed. Quantitative analyses were performed on each operation to confirm that high risk levels were measured conditional upon the operating factors for each disaster.; The results from this dissertation will be of interest to engineers, operators, managers, and regulators concerned with preventing and mitigating the effects of HOE to increase safety of marine systems.
机译:大多数(80%以上)高后果性海洋事故的来源可归因于人为错误和组织错误(HOE)。最近的例子包括埃克森·瓦尔迪兹(Exxon Valdez)油轮停飞(258,000桶石油泄漏),以及西方派珀Alpha平台爆炸和大火(167人丧生)。当前,没有结构化的定量方法来协助海洋系统的工程师,操作员和监管者设计HOE容忍系统,或将HOE的考虑因素纳入海洋系统的设计,构造和操作中。人为因素通常被忽略。本文的目的是介绍一种定量建模方法,以评估HOE对油轮和海上平台运行的影响。该方法论包括构造导致事故场景的关键要素的系统方法,以及用于评估可能导致这些场景的各种操作条件下操作风险的影响的定量建模程序。建模方法将结构化的事故场景整合到潜在的,直接的和复合的因素中。提出了使用影响图对导致事故场景的独特因素进行图形化表示的方法。这些图用于为该特定事故类别开发简化的通用“模板”。模板的功能是形成一个基础,以保留类似操作的中心原因机制,但不保留正在建模的灾难的独特方面。将人为错误的复杂影响与海上人员伤亡联系在一起的数据不足且不可靠,导致定量的人为错误建模受到限制。已经提出了一种定量测量技术,即人为错误安全指数方法(HESIM),用于测量组织,任务和系统的复杂性以及影响操作员执行决策或采取行动减轻或加剧事故事件能力的环境因素。这些测量技术依靠熟悉建模操作的人的判断和经验以及客观数据来制定“安全指数”。还提出了一种收集客观数据的方法,即人为和组织错误数据量化系统(HOEDQS)。 HOEDQS允许更新人为错误,从而更加依赖客观数据,而更少地依赖于判断性索引程序。确定了两个海上人员伤亡作为案例研究实例,以确认建模程序:埃克森·瓦尔迪兹(Exxon Valdez)和Piper Alpha灾难。选择这些伤亡人员是因为与事故事件相关的信息的质量,完整性,可访问性和可用性。对每种灾难的独特方面进行建模,并开发模板。对每项操作进行了定量分析,以确认是否根据每种灾难的操作因素来衡量高风险水平。本论文的结果将对与防止和减轻HOE的影响以提高海洋系统安全性的工程师,操作员,管理者和监管者感兴趣。

著录项

  • 作者

    Moore, William Henry, Jr.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Engineering Marine and Ocean.
  • 学位 D.Eng.
  • 年度 1993
  • 页码 299 p.
  • 总页数 299
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 海洋工程;
  • 关键词

  • 入库时间 2022-08-17 11:50:09

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