使用公理设计和感性工程学设计物理和认知安全的人机协作工作站的一种新的以人为中心的方法。

IF 3.2 Q3 ENGINEERING, INDUSTRIAL
Production and Manufacturing Research Pub Date : 2025-06-04 eCollection Date: 2025-01-01 DOI:10.1080/21693277.2025.2508451
A Bonello, C A Brown, E Francalanza, M V Gauci, P Refalo
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引用次数: 0

摘要

以人为中心的人机协作(HRC)工作空间设计是工业5.0的核心。虽然与协作机器人接近可以提高生产率和灵活性,但它也引发了对身体安全和认知人体工程学的担忧。虽然物理安全得到了很好的解决,但很少有研究将认知和物理健康整合到工作站设计中。本研究提出了一种将感性工学(KE)与Suh的公理设计(AD)相结合的新方法,以支持物理和认知安全的HRC工作站。与现有的研究完全依赖于Suh的公理1(保持独立性)不同,这项工作还考虑了公理2(最小化信息),以在同样独立的物理和认知设计参数之间进行选择。该方法通过一个案例研究工作站进行了演示,直观地说明了功能和物理指标之间的关系。本研究通过提供一种新颖的可复制的、以人为中心的方法,将认知和物理人体工程学结合起来,在学术和工业背景下架起理论和实际应用的桥梁,从而推动了该领域的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel human-centred approach using Axiomatic Design and Kansei engineering for designing physically and cognitively safe human-robot collaborative workstations.

Human-centred design of collaborative human-robot (HRC) workspaces is central to Industry 5.0. While proximity with collaborative robots offers productivity and flexibility gains, it also raises concerns for both physical safety and cognitive ergonomics. Although physical safety is well addressed, few studies integrate cognitive and physical well-being into workstation design. This research presents a novel approach that combines Kansei Engineering (KE) with Suh's Axiomatic Design (AD) to support physically and cognitively safe HRC workstations. Unlike existing studies that rely solely on Suh's Axiom 1 (maintain independence), this work also takes into account Axiom 2 (minimise information) to select between equally independent physical and cognitive design parameters. The approach is demonstrated through a case-study workstation, visually illustrating the relationship between functional and physical metrics. This study advances the field by providing a novel replicable, human-centred approach that unites cognitive and physical ergonomics,bridging theory and practical application for both academic and industrial contexts.

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来源期刊
Production and Manufacturing Research
Production and Manufacturing Research Engineering-Industrial and Manufacturing Engineering
CiteScore
5.60
自引率
4.90%
发文量
35
期刊介绍: Production & Manufacturing Research: An Open Access Journal provides a high-quality platform for academics, researchers, and industrial practitioners working on production and manufacturing research topics to publish their work globally under a fully open access model. The journal ensures that every article undergoes a rigorous but rapid peer review process by a team of experts who share the cross-disciplinary scope of the publication. The intent is to foster innovation, debate and collaboration across the field whilst maintaining a defined and relevant audience for the topics and findings reported. The journal encourages the submission of original articles, reviews, short communications and case studies in all areas of manufacturing engineering and technology, operations research and management, supply chain performance management, lean manufacturing, production systems and automation, quality control, logistics, research methodologies, manufacturing strategy, sustainable engineering, project management & scheduling and cross-disciplinary research between these fields.
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