1,720,963 research outputs found

    How to Measure Stress in Smart and Intelligent Manufacturing Systems: A Systematic Review

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    The Fourth Industrial Revolution has introduced innovative technologies to manufacturing, resulting in digital production systems with consequences on workers’ roles and well-being. From the literature emerges the necessity to delve into the work-related stress phenomenon since it affects workers’ health status and performance and companies’ productivity. This review summarises the stress indicators and other influential factors in order to contribute to a stress assessment of human workers in smart and intelligent manufacturing systems. The PRISMA methodology is adopted to select studies consistent with the aim of the study. The analysis reviews objective measurements, such as physical, physiological, and subjective measurements, usually driven by a psychological perspective. In addition, experimental protocols and environmental and demographic variables that influence stress are illustrated. However, the investigation of stress indicators combined with other factors leads to more reliable and effective results. Finally, it is discovered that standards regarding stress indicators and research variables investigated by experimental studies are lacking. In addition, it is revealed that environmental and demographic variables, which may reveal significant suggestions for stress investigation, are rather neglected. This review provides a theorical summary of stress indicators for advanced manufacturing systems and highlights gaps to inspire future studies. Moreover, it provides practical guidelines to analyse other factors that may influence stress evaluation

    NO-STRESS Manufacturing Study of work-related stress under different production conditions

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    L'abstract è presente nell'allegato / the abstract is in the attachmen

    Social sustainability in manufacturing: where are we?

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    The definition of Social Sustainability and the methods used for its assessment are still changing, especially concerning Manufacturing. Recent industrial revolutions have transformed workers’ roles and these changes need to be considered for social sustainability development. This systematic literature review provides a comprehensive view of the State of the Art of Social Sustainability in Manufacturing (SSM) at the plant level of production systems. The selected contributions have provided knowledge about the current definitions and assessment of SSM, its drivers, barriers and industrial implications, especially regarding technologically advanced environments. However, neither an official outline nor an assessment method of this concept has yet emerged. Therefore, this paper discusses how SSM can be abstracted into a three-dimensional space, defined by boundaries, the subject of social analysis and the research methodology. Dimensional space and boundaries are combined in frameworks to support manufacturing actors in developing customised SSM definitions and evaluations, while leaving the research methodology for further investigation. Such frameworks may contribute to increasing society’s awareness of social sustainability and designing new norms. In addition, they may guide companies in reaching sustainability goals and academia in pursuing new research directions

    On-site analysis of work-related stress to design workers-friendly manufacturing systems

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    Industry 4.0 is leading to technological advancement in manufacturing and causing changes in tasks performed by operators. This represents a potential trigger of humans' stress and workload. This paper aims to investigate work-related stress in an industrial environment through a real production case study through ECG, EDA, EMG, and respiratory band. From stress physiological indicators analysis, preliminary suggestions for the case study are provided to make the production system more human-centered, according to Industry 5.0. Further studies may test the effect of the recommended actions

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Multi-dimensional Dataset of Stress Measurements based on Performance, Behavioural, and Perceptual Indicators

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    Abstract The role of humans in industry is changing due to the technological transformation of production processes, which represents a potential source of stress for workers. In this context, the NO-STRESS project aims to combine objective and subjective data collected during task execution to explore causes of work-related stress and propose solutions to mitigate them. This paper describes the within-subjects study design used in the project, where each participant was exposed to all experimental conditions, and outlines the workflow developed during the study. Moreover, it describes the behavioural, performance and perceptual indicators of participants’ stress collected during the execution of full-kitting, component quality control, assembly and product quality monitoring tasks. The data collection sessions were conducted in different manufacturing contexts. The collected data may be reused to compare stress intensity among different subjects considering individual factors and experimental conditions. In addition, the results of stress in manufacturing may be compared to the intensity of this phenomenon in other sectors. The consequent outcomes may have practical implications for work contexts and benefits for society as a whole
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