制造中人机协作中的人为错误识别与风险优先排序

IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Li Liu, Shixiong Sheng, Jiansi Li, Siu Shing Man
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引用次数: 0

摘要

在人机可靠性分析中,人为错误识别和优先排序是最重要的任务。本研究旨在通过开发一个识别和评估风险的模型来解决人机协作(HRC)中的人为错误问题。首先,利用分层任务分析方法识别操作员在HRC过程中执行的关键任务,并基于信息处理理论建立认知模型;该模型将协作过程分解为几个阶段,并在每个步骤中识别潜在的人为错误。其次,应用失效模式和影响分析以及证据推理来量化这些错误的风险水平。最后,对与人为错误相关的风险进行测量、排序,并与现有研究进行比较,并提出建议。研究结果表明,造成HRC安全风险的主要原因是疲劳、非法操作、错误操作、误判和误解。该过程的感知阶段被发现具有最高的风险水平,这意味着操作员在感知阶段比在决策或执行阶段更容易出错,主要是由于疲劳,分心和误解等因素。这些结果为提高HRC系统的安全性提供了重要的理论支持,并为完善HRC系统的风险管理策略提供了实践建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Error Identification and Risk Prioritization in Human–Robot Collaboration in Manufacturing

Human error recognition and subsequent prioritization are the most important tasks in the human–robot reliability analysis. This study aims to address the issue of human error in human–robot collaboration (HRC) by developing a model for identifying and assessing risks. First, the key tasks performed by operators during HRC were identified using the hierarchical task analysis, and a cognitive model was built based on information processing theory. This model breaks down the collaboration process into stages and identifies potential human errors at each step. Next, failure modes and effects analysis and evidence reasoning were applied to quantify the risk levels of these errors. Finally, the risks associated with human errors were measured, ranked, and compared with existing studies, and recommendations were made. The findings showed that the leading causes of safety risks in HRC are fatigue, illegal operations, error operations, misjudgments, and misperception. The perception stage of the process was found to carry the highest risk level, which means operators are more likely to make errors during the perception stage than during decision or execution, largely due to factors such as fatigue, distraction, and misperception. These results provide important theoretical support for improving safety in HRC and offer practical suggestions for refining risk management strategies in HRC systems.

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来源期刊
CiteScore
5.20
自引率
8.30%
发文量
37
审稿时长
6.0 months
期刊介绍: The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.
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