Systems Human Factors and Ergonomics Methods: Applications, Outcomes, and Future Directions

IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Samantha L. Jackson, Gemma J. M. Read, Adam Hulme, Paul M. Salmon
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引用次数: 0

Abstract

Systems human factors and ergonomics (HFE) methods are increasingly being applied to diverse problems across various domains. This scoping review identified peer-reviewed applications of systems HFE methods to determine which methods have been applied, in what domains, and for what purposes. Four databases (Web of Science, Scopus, Science Direct, and Sage) were searched for articles that applied systems HFE methods. After applying a set of inclusion criteria, 367 peer-reviewed articles were included in the review. The review revealed a growth in applications of systems HFE methods over time. Overall, cognitive work analysis (CWA) was the most frequently applied, closely followed by functional resonance analysis method (FRAM) and systems theoretic accident model and process–system-theoretic process analysis (STAMP-STPA). Most applications of systems HFE methods have occurred in the Healthcare domain, and approximately one-third of the articles involved the application of multiple HFE methods, with an increasing number of these including mathematical modeling such as Systems Dynamics and Agent Based Modeling. The review suggests there is a continued demand for both qualitative and quantitative outputs in systems HFE applications. As problem spaces and system complexity continue to intensify, evaluation, and potential adaption of methods may be required, including using more than one method. The challenge of matching methods to problems continues. To select appropriate methods, consideration should be balanced between factors such as the type of system being examined, the effort required to apply the method(s), the level of complexity of the system, and the necessary output.

Abstract Image

系统人为因素和人体工程学方法:应用、成果和未来方向
系统人因学和人机工程学(HFE)方法越来越多地应用于各个领域的各种问题。该范围审查确定了同行评议的系统HFE方法的应用,以确定哪些方法已被应用,在哪些领域,以及用于什么目的。在四个数据库(Web of Science, Scopus, Science Direct和Sage)中搜索应用系统HFE方法的文章。在应用一套纳入标准后,367篇同行评议的文章被纳入该综述。该综述揭示了系统HFE方法的应用随着时间的推移而增长。总体而言,认知工作分析(CWA)的应用频率最高,其次是功能共振分析方法(FRAM)、系统理论事故模型和过程-系统理论过程分析(STAMP-STPA)。系统HFE方法的大多数应用都发生在医疗保健领域,大约三分之一的文章涉及多种HFE方法的应用,其中包括数学建模,如系统动力学和基于代理的建模。审查表明,在系统HFE应用中,对定性和定量输出都有持续的需求。随着问题空间和系统复杂性的不断加剧,可能需要对方法进行评估和潜在的调整,包括使用多种方法。将方法与问题相匹配的挑战仍在继续。为了选择合适的方法,应该在诸如所检查的系统类型、应用方法所需的努力、系统的复杂程度和必要的输出等因素之间进行权衡。
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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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