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Interference inhibition of multimodal information in digital interfaces and its rule of cognitive processing 数字界面中多模态信息的干扰抑制及其认知处理规律
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-09-25 DOI: 10.1002/hfm.21054
Junkai Shao, Wenzhe Tang, Jing Ji, Chengqi Xue, Feng Lu

In the digital interface of multimodal audio–visual presentation, the appearance of irrelevant information often brings cognitive interference or even confusion, leading to decision-making errors when users focus on or manipulate the interface target. However, few studies have explored the brain's inhibition effect and cognitive law evoked by audio–visual interference from the perspective of interface information design. On the basis of Stroop's classic interference task, an experimental paradigm of multimodal audio–visual stimuli to induce event-related potential (ERP) components was designed for digital interfaces in this study. Combining behavioral measurement and ERP technology, this study discussed the differences in the induced inhibition effects between the two carriers under various audio–visual interferences. The findings demonstrated that all five interference stimuli, based on functional icons and Chinese characters, elicited significant N250 and N400, with a similar time course. Compared with the Chinese character group, the functional icon group elicited more negative activity in the frontal and some parietal-occipital regions, indicating that the functional icon required more cognitive inhibitory resources to resist interference stimuli. Moreover, the inhibition effect induced by audio–visual interference with the same semantics was significantly lower than that of opposite semantics and even lower than that of single-sensory interference. The findings offered physiological evidence for the inhibition effect induced by audio–visual semantic interference in digital interfaces and proposed design principles for the interface information of human–machine systems.

在多模态视听呈现的数字界面中,无关信息的出现往往会带来认知干扰甚至混淆,导致用户在关注或操作界面目标时出现决策失误。然而,很少有研究从界面信息设计的角度探讨视听干扰引起的大脑抑制效应和认知规律。本研究在斯特罗普经典干扰任务的基础上,为数字界面设计了多模态视听刺激诱发事件相关电位(ERP)成分的实验范式。本研究结合行为测量和 ERP 技术,探讨了两种载体在不同视听干扰下诱导抑制效应的差异。研究结果表明,基于功能图标和汉字的五种干扰刺激都能引起明显的 N250 和 N400,且时间进程相似。与汉字组相比,功能图标组在额叶和部分顶枕区引起了更多的负性活动,表明功能图标需要更多的认知抑制资源来抵抗干扰刺激。此外,相同语义的视听干扰所引起的抑制效应明显低于相反语义的干扰,甚至低于单感官干扰。研究结果为数字界面中视听语义干扰引起的抑制效应提供了生理学证据,并提出了人机系统界面信息的设计原则。
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引用次数: 0
Simulation model to analyze the impact of work on absenteeism 分析工作对旷工影响的模拟模型
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-09-05 DOI: 10.1002/hfm.21052
Ruan Eduardo Carneiro Lucas, Eugenio A. D. Merino, Giselle S. A. D. Merino, Luiz B. da Silva, Wilza K. dos Santos Leite, Jonhatan M. N. Silva, José F. R. Júnior

Shoe manufacturing companies often use overtime work but neglect the impacts and importance of physical recovery time. Ergonomic methods aim to analyze this, but they focus on deterministic aspects, which limits their ability to evaluate working conditions amid variations over time. This research explores how a simulation model can mitigate these limitations and enhance analysis of overtime and physical recovery on worker absenteeism. The objective was developed a simulation model using System Dynamics (SD) to represent working conditions and assess the influence of overtime and recovery time in Brazil's footwear industry. An Ergonomic Analysis of Work was conducted in a large company's production cell. Using SD, were constructed a causal and simulation model to analyze three scenarios. An additional hour of work increased physical overload by 44%, leading to 5, 4 leave requests, and 48 days of absenteeism per year. Increasing recovery time by 15 min reduced overload to 38,96%, resulting in 4, 9 leave requests and 13,68 days of absenteeism. The SD simulation model mitigated the limitations of ergonomic methods in understanding the dynamic relationships over time, emphasizing the importance of actively managing overtime and physical recovery time.

制鞋企业经常加班加点,但却忽视了体力恢复时间的影响和重要性。人体工程学方法旨在分析这一点,但它们侧重于确定性方面,这限制了它们评估随时间变化的工作条件的能力。本研究探讨了模拟模型如何缓解这些局限性,并加强对加班和体力恢复对工人旷工的影响的分析。研究目的是利用系统动力学(SD)开发一个仿真模型,以表示巴西制鞋业的工作条件,并评估加班和恢复时间的影响。在一家大型公司的生产车间进行了一次人体工程学工作分析。利用 SD,我们构建了一个因果和模拟模型,对三种情况进行了分析。每多工作一小时,体力超负荷就会增加 44%,导致每年分别有 5 次、4 次和 48 天的缺勤申请。将恢复时间增加 15 分钟可将超负荷率降低至 38.96%,从而减少 4.9 次请假和 13.68 天旷工。可持续发展模拟模型缓解了人体工程学方法在理解随时间变化的动态关系方面的局限性,强调了积极管理加班和体力恢复时间的重要性。
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引用次数: 0
Investigation of musculoskeletal symptoms, work postures, quantification of muscle activity, and estimation of grip/push forces among sonographers 对超声波技师的肌肉骨骼症状、工作姿势、肌肉活动量化以及握力/推力估算的调查
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-09-05 DOI: 10.1002/hfm.21051
Zahra ZangiAbadi, Hamid Khabiri, Alireza Mirbagheri, Gholamhossein Halvani, Mohsen Askarishahi, Mehnoosh Nasiri

Due to the physical nature of their work, sonographers are exposed to many musculoskeletal disorder risk factors, including awkward posture, repetitive movements, forceful manual exertion, and static muscle contractions, especially in the upper limbs. The current study is an investigation of musculoskeletal disorders among sonographers, caused by various occupational risk factors via different sonographic scan types. During the first phase of this study, the musculoskeletal symptoms and work postures of 29 subjects were investigated. During the second phase, muscle activity was quantified, and grip/push forces were estimated using the data obtained from 10 volunteer sonographers. 82% of sonographers experienced musculoskeletal symptoms. Based on the final scores and action levels obtained via rapid upper limb assessment, while performing scans of left regions; ergonomic changes and interventions were found necessary, to relieve stress on the sonographer's body. The results of muscular activity per muscle and scan type, showed that the mean muscle activity of the middle deltoid muscle was significantly higher during the right abdominal scan (17.64% maximum voluntary contraction [MVC]), compared to those of thyroid (12.54% MVC) and left abdominal (7.32% MVC) scans. Additionally, mean grip and push forces during both abdominal scans were significantly higher than those during the thyroid scan. Despite an injury risk during all scans, risk factor impact was different among scan types. This groundbreaking study represents the first that captures and measures both grip and push forces simultaneously, which may prove helpful while investigating corrective interventions or optimizing design of sonography robots and ergonomic probes in future studies.

由于其工作的体力性质,超声技师面临着许多肌肉骨骼疾病的风险因素,包括姿势笨拙、重复动作、用力体力劳动和静态肌肉收缩,尤其是上肢。目前的研究是通过不同的超声扫描类型,调查各种职业风险因素对超声技师造成的肌肉骨骼疾病。在研究的第一阶段,对 29 名受试者的肌肉骨骼症状和工作姿势进行了调查。在第二阶段,对肌肉活动进行了量化,并利用从 10 名志愿超声技师那里获得的数据估算了握力/推力。82%的超声波技师出现了肌肉骨骼症状。根据对左侧区域进行扫描时通过快速上肢评估获得的最终分数和动作水平,发现有必要改变人体工程学并采取干预措施,以减轻超声技师身体的压力。每块肌肉和扫描类型的肌肉活动结果显示,与甲状腺(12.54% MVC)和左腹(7.32% MVC)扫描相比,右腹扫描时三角肌中部的平均肌肉活动明显更高(17.64% 最大自主收缩 [MVC])。此外,两次腹部扫描的平均握力和推力都明显高于甲状腺扫描。尽管在所有扫描过程中都存在受伤风险,但风险因素对不同扫描类型的影响是不同的。这项开创性的研究首次同时捕捉并测量了握力和推力,这可能有助于在未来的研究中调查纠正干预措施或优化声像摄影机器人和人体工学探头的设计。
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引用次数: 0
Effect of human–machine interface infotainment systems and automated vehicles on driver distraction 人机界面信息娱乐系统和自动驾驶汽车对驾驶员分心的影响
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-09-02 DOI: 10.1002/hfm.21049
Elahe Abbasi, Yueqing Li, Yi Liu, Ruobing Zhao

Driver distraction is intricately linked to human behavior and cognitive ergonomics, as it explores how human engagement with various stimuli influences attention and decision-making processes while driving. The main purpose of this study is to comprehensively explore whether using Human–Machine Interface infotainment systems in automated vehicles can affect driver distraction. To this end, driver distraction was measured by driving performance features (speed, lane position, and reaction time), behavioral features (fixation time and pupil dilation), physiological features (changes in oxyhemoglobin), and subjective assessment (NASA-TLX workload). Twenty-one participants equipped with an eye tracker and functional near-infrared spectroscopy drove a driving simulator in the current investigation. The results revealed that interacting with the infotainment systems significantly affects the drivers' average speed (F2,40 = 13.60, p < .0001), reaction time (F2,40 = 4.74, p = .0142), fixation time (F2,40 = 88.61, p < .0001), pupil dilation (F2,28 = 3.63, p = .0356), and workload (F2,40 = 14.40, p < .0001). Moreover, driving mode significantly affects drivers' speed deviation (F2,40 = 6.12, p = .0048), standard deviation of lane position (F2,40 = 10.57, p = .0002), fixation time (F2,40 = 36.71, p < .0001), and workload (F2,40 = 28.08, p < .0001). Drawing from the findings of this article and emphasizing human-centric design principles, researchers and engineers can craft automotive technologies that are intuitive, effective, and safer. This is vital for mitigating driver distraction and guaranteeing the beneficial influence of automated vehicles on both road safety and the overall driving experience.

驾驶员分心与人类行为和认知工效学密切相关,因为它探讨了人类与各种刺激物的接触如何影响驾驶时的注意力和决策过程。本研究的主要目的是全面探讨在自动驾驶汽车中使用人机界面信息娱乐系统是否会影响驾驶员分心。为此,通过驾驶性能特征(速度、车道位置和反应时间)、行为特征(固定时间和瞳孔放大)、生理特征(氧合血红蛋白的变化)和主观评估(NASA-TLX 工作负荷)来测量驾驶员分心情况。在本次调查中,21 名参与者在驾驶模拟器时配备了眼动仪和功能性近红外光谱仪。结果显示,与信息娱乐系统的互动会显著影响驾驶员的平均速度(F2,40 = 13.60,p <.0001)、反应时间(F2,40 = 4.74,p = .0142)、固定时间(F2,40 = 88.61,p <.0001)、瞳孔放大(F2,28 = 3.63,p = .0356)和工作量(F2,40 = 14.40,p <.0001)。此外,驾驶模式会明显影响驾驶员的速度偏差(F2,40 = 6.12,p = .0048)、车道位置标准偏差(F2,40 = 10.57,p = .0002)、固定时间(F2,40 = 36.71,p <.0001)和工作量(F2,40 = 28.08,p <.0001)。根据本文的研究结果,并强调以人为本的设计原则,研究人员和工程师可以设计出更直观、更有效、更安全的汽车技术。这对于减少驾驶员分心、确保自动驾驶汽车对道路安全和整体驾驶体验产生有益影响至关重要。
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引用次数: 0
Improving safety in complex systems: A review of integration of functional resonance analysis method with semi-quantitative and quantitative approaches 提高复杂系统的安全性:功能共振分析方法与半定量和定量方法整合综述
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-09-02 DOI: 10.1002/hfm.21050
Ashish Kumar, Rahul Upadhyay, Biswajit Samanta, Ashis Bhattacherjee

Functional resonance analysis method (FRAM) is extensively employed in analyzing and managing performance variabilities. Additionally, semi-quantitative and quantitative methods have been increasingly integrated with the FRAM to analyze complex socio-technical systems to improve safety levels. This review article presents a comprehensive and updated survey of current literature focused on semi-quantitative and quantitative methods employed for quantifying performance variabilities and exploring aggregation/propagation rules. A total of 1659 studies published between 2012 and March 2024 from various scientific databases were systematically examined using preferred reporting items for systematic review and meta-analysis, identifying 29 studies that met inclusion criteria. The identified studies were categorized into four groups based on the quantitative methods employed: Monte Carlo simulation, fuzzy logic, cognitive reliability and error analysis method, and miscellaneous approaches. While different methodologies had unique strengths, they commonly relied on expert judgment for data collection, whether for defining probability distributions in Monte Carlo simulations, membership functions, and fuzzy rule bases in fuzzy inference systems, or selecting common performance conditions, determining their interrelationships, and assigning scores. Addressing bias from expert judgment in assessing performance variabilities can be achieved by using suitable experts' opinions integration techniques, and leading safety indicators in the analysis.

功能共振分析法(FRAM)被广泛用于分析和管理性能变异。此外,半定量和定量方法也越来越多地与功能共振分析法相结合,用于分析复杂的社会技术系统,以提高安全水平。本综述文章对当前文献进行了全面的最新调查,重点关注用于量化性能变异性和探索聚集/传播规则的半定量和定量方法。采用系统综述和荟萃分析的首选报告项目,对 2012 年至 2024 年 3 月期间从各种科学数据库中发表的共计 1659 项研究进行了系统检查,确定了 29 项符合纳入标准的研究。根据所采用的定量方法,确定的研究分为四组:蒙特卡罗模拟法、模糊逻辑法、认知可靠性和误差分析法以及其他方法。虽然不同的方法都有其独特的优势,但它们通常都依赖专家判断来收集数据,无论是在蒙特卡罗模拟中定义概率分布、模糊推理系统中定义成员函数和模糊规则库,还是选择常见的性能条件、确定它们之间的相互关系以及分配分数。通过在分析中使用合适的专家意见整合技术和领先的安全指标,可以消除专家判断在评估性能变异性时产生的偏差。
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引用次数: 0
How to spark team flow over time 如何长期激发团队活力
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-08-28 DOI: 10.1002/hfm.21048
Jef J. J. van den Hout, Orin C. Davis, Siem Buseyne

An important question in teamwork research is how to maximize performance and the aspects of the team's dynamics and collaboration process that underpin it. Prior research has shown that when team members who are collaborating towards a common purpose experience flow together (team flow; optimal experiences that occur simultaneously at the individual and team levels, entailing deep focus and intrinsic motivation to perform an activity), the team significantly improves its performance and team members experience many positive results at both the individual and team levels. Further advances have built a model of team flow and a means for measuring the construct, as well as qualitative results in business teams to confirm how the elements of team flow interact to generate the positive experiences and higher performance. This study adds practical value to the research by providing proof-of-concept for an intervention that promotes team flow in business teams. This cross-case-study of 15 teams across five different organizations uses the Team Flow Monitor as a barometer of team health and dynamics, which in turn serves as the centerpiece of an iterative intervention protocol for leading/guiding teams in targeted self-reflection that can generate virtuous cycles of improving dynamics and performance. In addition to a significant amount of qualitative data confirming the efficacy of the intervention in enabling teams to overcome obstacles and experience more team flow, quantitative analysis of Team Flow Monitor scores showed an increase on average team flow scores across the teams over the course of the intervention (Cohen's d = 0.6). Implications for translating team flow research to field situations are discussed, along with further potential uses of the Team Flow Monitor.

团队合作研究中的一个重要问题是,如何最大限度地提高团队绩效,以及团队动力和协作过程的各个方面。先前的研究表明,当团队成员为实现共同目标而合作时,他们会共同体验到团队流动(团队流动;在个人和团队层面同时出现的最佳体验,包括深度专注和开展活动的内在动力),团队的绩效会显著提高,团队成员在个人和团队层面都会体验到许多积极的结果。研究的进一步进展是建立了一个团队流动模型,找到了一种衡量这一概念的方法,并在商业团队中取得了定性结果,从而证实了团队流动的各个要素是如何相互作用以产生积极体验和更高绩效的。本研究为促进商业团队团队流动的干预措施提供了概念验证,从而为研究增添了实用价值。这项对五个不同组织的 15 个团队进行的交叉案例研究将团队流程监控器作为团队健康和活力的晴雨表,进而作为迭代干预方案的核心,用于领导/指导团队进行有针对性的自我反思,从而产生改善活力和绩效的良性循环。除了大量定性数据证实了干预措施在帮助团队克服障碍和体验更多团队流动方面的功效外,对团队流动监测得分的定量分析也显示,在干预过程中,各团队的平均团队流动得分都有所提高(Cohen's d = 0.6)。本文讨论了将团队流动研究转化为实地情况的意义,以及团队流动监测器的进一步潜在用途。
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引用次数: 0
Research on the influence and evaluation of manual operation performance of multifunctional operation panel considering interaction effect 考虑交互效应的多功能操作面板手动操作性能影响与评价研究
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-07-02 DOI: 10.1002/hfm.21047
Tianming Zhang, Jindong Ren, Mingzhe Sun, Haoyun Zheng

Manual operations remain crucial in critical human-machine interactions due to limitations in automatic control algorithms and technologies. While ergonomic analysis and evaluation techniques for interactive interfaces are advancing, recent approaches emphasize integrating graphical interface experiences with intuitive controls. Conventional methods often lack precision or overlook the interaction effect of different influencing factors, leading to inadequate assessment of essential manual operations for intricate interfaces, such as multifunctional operation panels. To address these challenges, this study aimed to investigate the interaction effects of various factors on the manual operation performance of operators when using a multifunctional operation panel and aims to develop a more comprehensive and broadly applicable evaluation model for such panels. An experiment was designed to consider the type, size, layout of controls, and operational task type as the main factors affecting manual operation performance. Multivariate analysis of variance was used to identify significant interaction effects among the operation factors. The findings underscored the importance of these interactions in evaluating manual operation performance. Multivariate linear regression further examined the influence of these factors, enhancing the evaluation methodology. The study emphasizes the critical role of understanding interaction effects in assessing the manual operation performance of multifunctional operation panels, particularly in improving the design of the panel or operation tasks.

由于自动控制算法和技术的局限性,手动操作在关键的人机交互中仍然至关重要。虽然交互界面的人体工学分析和评估技术在不断进步,但最近的方法强调将图形界面体验与直观控制相结合。传统方法往往缺乏精确性,或忽略了不同影响因素的交互效应,导致对复杂界面(如多功能操作面板)的基本手动操作评估不足。为了应对这些挑战,本研究旨在调查使用多功能操作面板时各种因素对操作员手动操作性能的交互影响,并旨在为此类面板开发一个更全面、更广泛适用的评估模型。实验将控制面板的类型、尺寸、布局和操作任务类型视为影响手动操作性能的主要因素。采用多变量方差分析来确定操作因素之间的显著交互效应。研究结果强调了这些交互作用在评估手动操作性能方面的重要性。多元线性回归进一步检验了这些因素的影响,从而改进了评估方法。这项研究强调了了解交互效应在评估多功能操作面板手动操作性能方面的关键作用,尤其是在改进面板设计或操作任务方面。
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引用次数: 0
Resources for action and organizational resilience in times of COVID-19: A study in health care COVID-19时期的行动资源和组织复原力:医疗保健研究
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-06-17 DOI: 10.1002/hfm.21045
Angela Weber Righi, Priscila Wachs, Natália Ransolin, Vanessa Becker Bertoni

The COVID-19 pandemic challenged health care organizations to cope with major disruptions, especially in the first waves. Several investigations were undertaken to understand how to support resilience during similar unexpected events. In this study, we attempted to unveil the resilient performance of health care organizations during the first waves of the COVID-19 pandemic from the viewpoint of resources for action. Thus, the research objectives are twofold: (i) to evaluate organizational resilience in facing COVID-19 by hospitals in Brazil and (ii) to evaluate the relationship between resources for action and resilient performance. Firstly, an online survey was sent to front-line health care workers, resulting in 111 responses. Then, a questerview was undertaken through online interviews with some participants of the previous phase. Resources for action were interpreted as five aspects supporting decision-making in health care organizations: information and communication; team, equipment, and tools; standard operating procedure (SOP); training; and built environment. Each resource was then unfolded based on the four potentials for resilient performance (i.e., anticipate, monitor, respond and learn). Respondents strongly agreed that their institutions are resilient (M = 4.15; standard deviation [SD] = 0.91). The potentials to learn (M = 4.23; SD = 0.96) and respond (M = 4.08; SD = 1.02) stood out, followed by monitoring (M = 3.85; SD = 1.07) and anticipating (M = 3.70; SD = 1.11). Although some differences stand out, findings corroborate with the joint performance of the resources for action to support resilience performance. Information and communication were the most present among the resources for action (M = 4.20). Making resources for action visible is a strategy for designing resilient systems, as it can be considered a bridge linking different resilience levels (micro, meso, and macro). Suggestions for future studies point out the need to promote the development and evaluation of resources for action in health care institutions.

COVID-19 大流行对医疗机构应对重大干扰提出了挑战,尤其是在第一波。为了了解如何在类似的突发事件中支持抗灾能力,我们开展了多项调查。在本研究中,我们试图从行动资源的角度揭示医疗机构在 COVID-19 大流行的第一波中的抗灾表现。因此,研究目标有两个:(i) 评估巴西医院在面对 COVID-19 时的组织复原力;(ii) 评估行动资源与复原力表现之间的关系。首先,向一线医护人员发送了一份在线调查,共收到 111 份回复。然后,通过在线访谈对前一阶段的部分参与者进行了问卷调查。行动资源被解释为支持医疗机构决策的五个方面:信息和沟通;团队、设备和工具;标准操作程序(SOP);培训;以及建筑环境。然后,根据弹性绩效的四种潜力(即预测、监测、响应和学习)对每种资源进行了展开。受访者非常认同其机构具有复原力(M = 4.15;标准差 [SD] = 0.91)。学习潜力(M = 4.23;标准差 = 0.96)和应对潜力(M = 4.08;标准差 = 1.02)最为突出,其次是监测潜力(M = 3.85;标准差 = 1.07)和预测潜力(M = 3.70;标准差 = 1.11)。尽管存在一些差异,但研究结果与支持抗灾能力的行动资源的共同表现相吻合。在行动资源中,信息和交流的作用最大(中值 = 4.20)。使行动资源可见是设计抗灾系统的一种策略,因为它可以被视为连接不同抗灾水平(微观、中观和宏观)的桥梁。对未来研究的建议指出,有必要促进医疗机构行动资源的开发和评估。
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引用次数: 0
Effect of ergonomic aspects on single- and multiproduct assembly-line balancing problems 人体工程学对单件产品和多件产品装配线平衡问题的影响
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-06-14 DOI: 10.1002/hfm.21046
Mena Puthiyaveedu Giridhar, Vinay V. Panicker

Incorporating ergonomic considerations into an assembly-line balancing problem (ALBP) enhances productivity and minimizes ergonomic concerns. The assembly process, characterized by repetitive motions and handling numerous components, can lead to worker overload. Consequently, the inclusion of ergonomic aspects results in an appropriate distribution of assembly operations and relative workloads. This study investigates a multi-objective ALBP aimed at minimizing the number of workstations, overall skill level required, and variance in workers' energy expenditure across workstations. To address the ALBP while considering the ergonomic aspects, this study proposes an approach based on the non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective simulated annealing (MOSA) using Pareto optimality. A comparative analysis of the NSGA-II and MOSA is conducted in single- and multiproduct production scenarios, and a computational study involving various factors is performed to identify the dominant algorithm. The computational analysis indicates that the runtime performance of MOSA is 73.287% better than that of NSGA-II; therefore, MOSA outperforms NSGA-II. This study aims at applying scientific knowledge concerning manufacturing ergonomics to assist manufacturing industries in enhancing their productivity.

将人体工程学因素纳入装配线平衡问题(ALBP)可提高生产率,最大限度地减少人体工程学问题。装配过程的特点是重复动作和处理大量部件,可能导致工人超负荷工作。因此,考虑到人体工程学因素,可以适当分配装配操作和相对工作量。本研究探讨了一个多目标 ALBP,旨在最大限度地减少工作站的数量、所需的总体技能水平以及工人在不同工作站的能量消耗差异。为了在考虑人体工程学方面的同时解决 ALBP 问题,本研究提出了一种基于非支配排序遗传算法 II(NSGA-II)和帕累托最优多目标模拟退火(MOSA)的方法。在单产品和多产品生产场景中对 NSGA-II 和 MOSA 进行了比较分析,并对各种因素进行了计算研究,以确定主导算法。计算分析表明,MOSA 的运行时间性能比 NSGA-II 高 73.287%,因此 MOSA 优于 NSGA-II。本研究旨在应用有关制造业人体工程学的科学知识,帮助制造业提高生产率。
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引用次数: 0
Biomechanics-based study of muscle activation under different driving conditions for Chinese percentiles 基于生物力学的中国百分位数不同驾驶条件下的肌肉激活研究
IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Pub Date : 2024-05-29 DOI: 10.1002/hfm.21043
Mingyue Li, Biao Li, Guoying Chen, Bao Huading, Chongyue Shi, Fei Yu

In this paper, we determined the adjustment levels of the human–machine layout under the preferred driving posture for individuals with different body sizes. We also comparatively analyzed the maximum activation levels of various muscles under straight-line driving and steering conditions. To increase the accuracy of the results, AnyBody biomechanics software was used to establish a human skeletal muscle mechanics model, which we analyzed for consistency with rig test results. The results showed that people with larger body sizes preferred a driving position with the seat reclined back. Steered driving was associated with a significant (p < .05) increase in the maximum activation of the wrist extensors, serratus anterior, deltoid, and triceps brachii, which are the main force-generating muscle groups for steered driving, compared with straight driving. Moreover, the measured and simulated results of maximum muscle activation were relatively consistent, with the error between them within a 15% margin. In summary, this study explored the relationship between different driving conditions and preferred driving postures from a biomechanical perspective. A combined experimental and simulation approach was adopted to ensure the reliability of the findings. The insights from this study can inform ergonomic considerations for the comfort and health of Chinese drivers with varying physical characteristics.

本文确定了不同体型的人在首选驾驶姿势下的人机布局调整水平。我们还比较分析了直线驾驶和转向条件下各种肌肉的最大激活水平。为了提高结果的准确性,我们使用 AnyBody 生物力学软件建立了人体骨骼肌肉力学模型,并分析了该模型与钻机测试结果的一致性。结果显示,体型较大的人更喜欢座椅向后倾斜的驾驶姿势。与直线驾驶相比,转向驾驶与腕部伸肌、前锯肌、三角肌和肱三头肌的最大激活程度显著相关(p <.05),而这些肌群是转向驾驶的主要发力肌群。此外,最大肌肉激活的测量和模拟结果相对一致,两者之间的误差在 15%以内。总之,本研究从生物力学角度探讨了不同驾驶条件与首选驾驶姿势之间的关系。研究采用了实验和模拟相结合的方法,以确保研究结果的可靠性。本研究的启示可为具有不同身体特征的中国驾驶员的舒适性和健康提供人体工程学方面的参考。
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Human Factors and Ergonomics in Manufacturing & Service Industries
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