Human Factors and Ergonomics in Manufacturing & Service Industries最新文献

{"title":"Applying AcciMap and STAMP to the analysis of human error in complex manual assembly","authors":"Yaniel Torres,&nbsp;Sylvie Nadeau,&nbsp;Kurt Landau","doi":"10.1002/hfm.20964","DOIUrl":"10.1002/hfm.20964","url":null,"abstract":"<p>In sectors such as aerospace manufacturing, human errors in the assembly of complex products can negatively impact quality, productivity, and safety. Until now, the analysis of assembly errors has focused more on the immediate human-system interface and less on broader organizational factors. This article presents a case study-based analysis of assembly errors in the aeronautical industry using the systemic methods AcciMap and Systems-Theoretic Accident Model and Processes (STAMP). We seek to provide the company with elements to build a quality improvement strategy that considers human factors and ergonomics from a systemic perspective. The data and information necessary to conduct the analysis came from a project carried out at an aerospace manufacturing facility over a period of 12 months. The team had direct and recurrent access to primary data sources and communication with various stakeholders. A total of 31 influencing factors were identified with AcciMap at different levels within the manufacturing system. STAMP made it possible to model the sociotechnical control structure of the assembly process and identify several control flaws leading to hazards. The analysis shows that systemic methods require a high level of understanding of the manufacturing system and access to relatively high amounts of data and information. Therefore, direct contact with the field and stakeholders is crucial. Training quality specialists on systemic methods could support its use and help to close the gap between theory and practice. Globally, the field of quality in manufacturing could benefit from using systemic methods when deemed necessary.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85784939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Human-Automation Behavioral Interaction Task (HABIT) analysis framework","authors":"Isabelle Baird,&nbsp;Mary E. Fendley,&nbsp;Rik Warren","doi":"10.1002/hfm.20963","DOIUrl":"10.1002/hfm.20963","url":null,"abstract":"<p>Human-machine automation systems involve integration among automated agents and goal-oriented human operators. Automation fundamentally changes the nature of the cognitive demands placed on the human operator, while simultaneously increasing the potential for out-of-the-loop performance problems to impact system efficacy. As a novel human factors method for assessing these human-automation interaction-derived, out-of-the-loop, performance challenges, we introduce the Human-Automation Behavioral Interaction Task (HABIT) analysis. The HABIT framework considers the drivers of system performance in terms of both cognitive activity and human behavior. As an example, we apply HABIT to a tedious intelligence, surveillance, and reconnaissance task. HABIT demonstrates its effectiveness in guiding the modeling and annotation of cognitive activities and successfully predicting actions resulting in errors. System designers can apply HABIT to assess human-automation interaction before a system is fielded to proactively address and mitigate out-of-the-loop performance problems.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75314156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hand anthropometric dimensions and strengths in workers: A comparison of three occupations","authors":"Mohammad Hajaghazadeh,&nbsp;Mohsen Taghizadeh,&nbsp;Iraj Mohebbi,&nbsp;Hamidreza Khalkhali","doi":"10.1002/hfm.20959","DOIUrl":"10.1002/hfm.20959","url":null,"abstract":"<p>The purpose of this study was to measure and compare the hand anthropometric dimensions and strengths of three different occupations. A cross-sectional study was designed to measure 34 hand dimensions and 4 hand strengths of 558 participants consisted of office workers, vehicle mechanics, and farmers. A digital caliper, a hand dynamometer, and a pinch meter were used to collect data. Percentile values for each measurement were tabulated at the 5th, 50th, and 95th percentile levels. The analysis of variance, <i>t</i> test, and Cohen's <i>d</i> were performed to assess the differences in anthropometric variables between groups of workers. The findings demonstrated statistically significant differences in the mean size and strength of the hands across three occupations. Office workers' hands were significantly smaller than those of car mechanics and farmers, particularly in terms of hand depths and widths. Car mechanics' hand circumferences were bigger than those of farmers. Office workers produced the weakest hand strengths. Wrist breadth of workers showed the highest correlation with hand strengths. Compared to other studies, the hands of Iranian workers were wider and thicker, but the length of their hands was similar. Given the significant variances in hand anthropometry between occupational categories, these differences should be incorporated into the design and selection of hand-related products such as gloves and hand tools for each group of workers.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87834601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing environmental heat stress under changing work conditions: A sensor-based monitoring solution","authors":"Milap Sharma,&nbsp;Narendra Mohan Suri,&nbsp;Suman Kant,&nbsp;Md Sarfaraz Alam","doi":"10.1002/hfm.20960","DOIUrl":"10.1002/hfm.20960","url":null,"abstract":"<p>Hot stressful work conditions impose subsequent suppressions on workers' wellbeing resulting in heat-related morbidities, reduced productivity, and economic burden. Heat stress evaluations require costly monitoring tools that may be uneconomical while monitoring multiple locations simultaneously under the targeted workplace, especially in industrially developing countries. With recent technological advancements, sensor-based intelligence could enable environmental heat stress monitoring at a substantially lesser price than costlier monitoring tools. In the present study, a sensor-based approach has been utilized to develop a low-cost data acquisition system involving widely used temperature-humidity (THu) based indices and environmental sensors for monitoring heat stress parameters under three different work environments (i.e., indoor, outdoor, foundry). Notable variations were observed among respective work environments for the evaluated heat stress parameters. Higher heat exposures were attributable to the foundry and outdoor conditions than indoor. Based on the bivariate correlation analysis, strong associations were observed among respective indices (<i>p</i> &lt; .01). For wet bulb globe temperature (WBGT), strong association was observed with modified discomfort index and fighter index of thermal stress (<i>R</i>² = .979) followed by oxford index (<i>R</i>² = .973) and discomfort index (<i>R</i>² = .958). Australian Bureau of Metrology (ABM) WBGT approximation overestimated heat exposure values under the respective environments, indicating the approximated WBGT values monitored using THu sensor units were not wholly reliable. The absence of radiant effects and air velocity is a limiting factor in the present study. However, the proposed prototype could have additional integration capabilities w.r.t several remedial control measures like risk-based early warning systems, automation controls, and real-time data monitoring and analysis for multiple locations simultaneously, with potential payoffs like cost-effectiveness and energy savings.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80403396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human error in maintenance: A case study from China","authors":"Dini Duan,&nbsp;Zhisheng Zhang,&nbsp;Zhijie Xia","doi":"10.1002/hfm.20962","DOIUrl":"10.1002/hfm.20962","url":null,"abstract":"<p>Human error is an essential factor that affects the quality and safety of industrial production. To deeply understand the human factors that cause failures in an organization from the perspective of maintenance personnel, we propose an analytical approach combined with Fault Tree Analysis and qualitative analysis and apply this approach to maintenance task failure incidents. These proposed methods are based on human factor classification and the Human Factors Analysis and Classification System. We conduct a case study to prove the effectiveness of applying our approach to the Chinese manufacturing industry. Results enabled the disclosure of the “latent factors” of maintenance incidents, helped improve human error analysis in maintenance incidents and helped to understand the fundamental reasons that affect work reliability and cause maintenance failures. This case study focuses on the impact of critical human factors on organizational effectiveness and operational reliability during maintenance activities.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77121661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Industry 4.0 adoption on workload demands in contact centers","authors":"Guilherme L. Tortorella,&nbsp;Anupama Prashar,&nbsp;Tarcisio A. Saurin,&nbsp;Flavio S. Fogliatto,&nbsp;Jiju Antony,&nbsp;Guido C. Junior","doi":"10.1002/hfm.20961","DOIUrl":"10.1002/hfm.20961","url":null,"abstract":"<p>This paper examines the impact of Industry 4.0 (I4.0) technologies on employees workload in contact centers. For that, we adopted the NASA task load index questionnaire to assess the workload of 100 employees from different contact centers in India that have been adopting I4.0 technologies. The collected data is analyzed through multivariate techniques. This study is grounded on concepts from the multiple resource theory. Our findings indicate positive and negative effects of I4.0 on employees workload, conditioned on the adopted technologies (i.e., Internet-of-Things, cloud computing, big data, machine learning/artificial intelligence, remote monitoring, and wireless sensors) and workload dimensions considered (i.e., mental demand, physical demand, temporal demand, overall performance, effort, and frustration level). Identifying I4.0's impacts on employees workload allows planning of managerial efforts to mitigate potential issues while setting clear expectations related to the digital transformation of contact centers' processes and services.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90868842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical and mental well-being of cobot workers: A scoping review using the Software-Hardware-Environment-Liveware-Liveware-Organization model","authors":"Fabio A. Storm,&nbsp;Mattia Chiappini,&nbsp;Carla Dei,&nbsp;Caterina Piazza,&nbsp;Elisabeth André,&nbsp;Nadine Reißner,&nbsp;Ingrid Brdar,&nbsp;Antonella Delle Fave,&nbsp;Patrick Gebhard,&nbsp;Matteo Malosio,&nbsp;Alberto Peña Fernández,&nbsp;Snježana Štefok,&nbsp;Gianluigi Reni","doi":"10.1002/hfm.20952","DOIUrl":"10.1002/hfm.20952","url":null,"abstract":"<p>The present scoping review investigated the current state of the art concerning factors affecting physical and mental health and well-being of workers using collaborative robots (cobots) in manufacturing industries. Each identified factor was classified using the SHELLO (Software-Hardware-Environment-Liveware-Liveware-Organization) conceptual model. Strengths and limitations of such an approach were outlined. A total of 53 papers were included in the scoping review and analyzed following PRISMA guidelines. In 35 papers at least one risk factor referred to the SHELLO Liveware-Hardware interaction, followed by factors concerning Liveware-Software (16 papers), Liveware-Liveware (11 papers), Liveware intrinsic factor (10 papers), Liveware-Organization (8 papers), and Liveware-Environment (8 papers). This work highlighted that methodological research is still primarily focused on traditional risk assessment and physical safety. However, several research directions concerning the design of cobots as active collaborators were identified, promoting workers' mental health and well-being, too. The SHELLO model proved to effectively highlight human factors relevant for the design of cobots and can provide a systemic approach to investigate human factors in other complex sociotechnical systems. To the best of our knowledge, this is the first time the model is applied in the field of human–cobot interaction.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.20952","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80061785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The peak–end rule in evaluating product user experience: The chronological evaluation of past impressive episodes on overall satisfaction","authors":"Toshihisa Doi,&nbsp;Sayoko Doi,&nbsp;Toshiki Yamaoka","doi":"10.1002/hfm.20951","DOIUrl":"10.1002/hfm.20951","url":null,"abstract":"<p>This study investigates the peak–end rule's applicability in evaluating the product user experience in the context of overall satisfaction with smartphone applications, a chronological evaluation of past impressive episodes with the use of applications, and the satisfaction level of each episode. The effects of the positive and negative peaks (maximum and minimum satisfaction score) and the end (satisfaction score at the most recent episode) were analyzed against the overall satisfaction in a series of episodes. Two representative groups (satisfied and dissatisfied) were surveyed regarding their satisfaction with a selected application. A correlation analysis between the variables revealed that the peaks and the end correlated with overall satisfaction. Further analysis with hierarchical multiple regression models revealed that the positive and negative peaks do not necessarily explain overall satisfaction dominantly in the regression model of this study. However, the possibility that they are related to the overall satisfaction was confirmed. In contrast, this study demonstrated the significant influence of the most recent event on the overall satisfaction level.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89442480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating thermal environment inside the kitchen of air-conditioned pantry car on Indian Railway using CFD","authors":"Md Sarfaraz Alam,&nbsp;Milap Sharma,&nbsp;Urmi R. Salve","doi":"10.1002/hfm.20950","DOIUrl":"10.1002/hfm.20950","url":null,"abstract":"<p>In an indoor kitchen environment, proper installation of supplying air system is essential for maintaining optimal human thermal comfort level. Current thermal comfort investigation has been accomplished during “various cooking periods (breakfast, lunch, snacks, dinner)” inside the air-conditioned kitchen environment of railway pantry car in India. The study goals to improve thermal comfort inside the pantry kitchen by implementing proper installation of the supply air system. A field experiment and computational fluid dynamics approach has been carried out during the summer season. Also, standard effective temperature (SET) index was utilized to determine the thermal comfort status. Three proposed design modified cases of pantry cars (based on supplying air system concepts) have been executed followed by validation and comparison with the existing case model. Results revealed modified <i>Case III</i> as a better design concept (indicating better air supply circulation and temperature decrease at the desired location) compared to the existing and other two proposed cases. Simultaneously, the SET index range was 26.5–28.6°C; indicating “comfortable thermal sensation throughout the cooking period.” This study's outcomes suggest improvements in thermal comfort and energy savings of “air-conditioned” pantry car kitchens in “Indian Railways” that could be referred directly.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88682355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biomechanical investigation of load differences on the upper extremities in dynamic hand strikes and isometric hand pushes during assembly tasks","authors":"Lukas Hausmanninger,&nbsp;Igor Komnik,&nbsp;Mario Fleiter,&nbsp;Wolfgang Potthast","doi":"10.1002/hfm.20949","DOIUrl":"10.1002/hfm.20949","url":null,"abstract":"<p>This study determines the effects of increasing forces on different musculoskeletal load parameters, such as muscle activity and joint movement, during assembly task-related dynamic hand strikes and isometric push forces. Fifteen subjects (12 men and 3 women) were instructed to strike and push on a force plate in two selected conditions. In the first condition, the palmar surface of the dominant hand is oriented horizontal to the measuring surface; in the second condition, the body position is maintained, but the hand is turned 90° to allow the use of the ulnar side of the hand (fist strike position). The subjects accomplished four force levels in ascending order (i.e., 150, 250, 350, and 400 N) within the corresponding striking and pushing conditions. The extracted kinematic variables of interest were strike velocity, recoil velocity, force plate contact time, peak vertical reaction force component (force plate), force impulse, muscle activity, and maximum joint ranges of motion during the push or strike process. Differences in the results between pushes and strikes and, under certain circumstances, between fist and palm strikes were identified. Increasing push forces correlate with the muscle activity in the pectoralis and lower arm extensor muscles. The fact that, at push forces &gt; 250 N, the subjects modify and adapt their upper body and arm posture to achieve the required force could reveal an obvious feasibility limit and explain why assembly workers tend to use their hands as a hammer.</p>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hfm.20949","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78975706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}