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ENHANCEMENT OF HUMAN RELIABILITY IN SHIPS AND MARITIME SYSTEMS

机译:加强船舶和海事系统中的人类可靠性

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摘要

Human error continues to represent a major threat to ships, both commercial and military, as well as maritime environments. In recent years the International Maritime Organization, the U.S. Coast Guard, and the U.S. Navy Safety Center have independently reported that human error is the primary cause of over 80% of ship accidents. It is well known that human characteristics can cause or contribute to human errors. These include such factors as fatigue, disorientation, distraction, motivation, forgetting, complacency, confusion, incorrect expectancy or set, excessive stress, boredom, inadequate skills and knowledge, and inadequate or impaired perceptual or cognitive ability. Such factors can certainly contribute to the occurrence of errors, and in some cases even cause errors. It is equally well established that factors associated with the design of systems can influence the potential for human error. Features of system design which influence the incidence of human errors include aspects of the design of hardware, software, procedures, environments, organizations, jobs, and training, as well as task difficulty, time constraints, interfering activities, poor communications, ambiguous lines of authority, information overloads, and excessive workloads. Design features encompass such aspects of the system as: human-machine interface design: information characteristics (availability, access, readability, currency, accuracy and meaningfulness); workspace arrangement; workloads, procedures; environments; and training. As owners of ships and maritime systems struggle to reduce operating costs, they need to investigate techniques to reduce human error rates, training burdens, and manning requirements. More and more owners are opting to reduce manning levels for future ships and systems. The benefit of manpower reduction is significant cost savings in operating ships and maritime systems. The downside is the potential for increasing the incidence of human error. What is needed is a way to reduce the incidence and impact of human errors in ships and maritime systems where manning levels are being significantly reduced. The U.S. Navy's human systems integration (HSI) approach to ship and system design provides a solution to this problem. HSI is the systems engineering discipline specifically directed at prevention and control of human error. HSI emphasizes human-centered design of human machine systems as well as design of jobs, organizations, workplaces, procedures and environments to reduce human error potential, make systems error tolerant, and reduce workloads of remaining personnel in a reduced manning ship or system. The HSI process for preventing and controlling human errors involves a series of steps which span the systems engineering process. These steps include: (1) analysis of human-automation interaction; (2) human error likelihood analysis; (3) modeling and simulation of error modes (4) development test & evaluation; (5) risk assessment; (6) human-machine interface analysis error analysis; (7) operational test & evaluation; (8) error data collection and lessons learned database; and (9) error tolerance monitoring.
机译:人为失误继续构成对商船,军舰以及海洋环境的主要威胁。近年来,国际海事组织,美国海岸警卫队和美国海军安全中心独立报告,人为错误是造成80%以上船舶事故的主要原因。众所周知,人的特征会导致人为错误或导致人为错误。这些因素包括疲劳,迷失方向,分散注意力,动机,忘记,自满,困惑,不正确的期望或状态,过度的压力,无聊,技能和知识不足以及感知或认知能力不足或受损等因素。这些因素肯定会导致错误的发生,在某些情况下甚至会导致错误。同样公认的是,与系统设计相关的因素会影响人为错误的可能性。影响人为错误发生率的系统设计特征包括硬件,软件,过程,环境,组织,工作和培训的设计方面,以及任务难度,时间限制,干扰性活动,沟通不畅,权限,信息过载和过多的工作量。设计功能包括系统的以下方面:人机界面设计:信息特征(可用性,访问性,可读性,货币性,准确性和有意义性);工作区安排;工作量,程序;环境;和培训。随着船舶和海事系统所有者努力降低运营成本,他们需要研究降低人为错误率,减少培训负担和人员配备的技术。越来越多的船东选择降低未来船舶和系统的人员配备水平。减少人力的好处是可大大节省运营船舶和海事系统的成本。缺点是可能增加人为错误的发生率。需要一种减少人员配置水平显着降低的船舶和海事系统中人为错误的发生率和影响的方法。美国海军在舰船和系统设计中的人机集成(HSI)方法为这一问题提供了解决方案。 HSI是专门针对人为错误的预防和控制的系统工程学科。 HSI强调以人为中心的人机系统设计,以及工作,组织,工作场所,程序和环境的设计,以减少潜在的人为错误,使系统具有容错性,并减少人员配备精简的船舶或系统中的剩余人员的工作量。预防和控制人为错误的HSI过程涉及跨越系统工程过程的一系列步骤。这些步骤包括:(1)人与自动化互动分析; (2)人为错误可能性分析; (3)错误模式的建模与仿真(4)开发测试与评估; (5)风险评估; (6)人机界面分析错误分析; (7)运行测试与评估; (8)错误数据的收集和经验教训数据库; (9)容错监控。

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