Wearable devices are pervasive solutions for increasing work efficiency, improving workers’ well-being, and creating interactions between users and the environment anytime and anywhere. Although several studies on their use in various fields have been performed, there are no systematic reviews on their utilisation in ergonomics. Therefore, we conducted a systematic review to identify wearable devices proposed in the scientific literature for ergonomic purposes and analyse how they can support the improvement of ergonomic conditions. Twenty-eight papers were retrieved and analysed thanks to eleven comparison dimensions related to ergonomic factors, purposes, and criteria, populations, application and validation. The majority of the available devices are sensor systems composed of different types and numbers of sensors located in diverse body parts. These solutions also represent the technology most frequently employed for monitoring and reducing the risk of awkward postures. In addition, smartwatches, body-mounted smartphones, insole pressure systems, and vibrotactile feedback interfaces have been developed for evaluating and/or controlling physical loads or postures. The main results and the defined framework of analysis provide an overview of the state of the art of smart wearables in ergonomics, support the selection of the most suitable ones in industrial and non-industrial settings, and suggest future research directions.

In the last two decades, Quality of Working Life (QWL) has become a core element of the European social model and the European Employment Strategy. “More and better jobs” is a strategic goal promoted within Europe for emphasising the attention in QWL. However, there is a large debate in the literature on the definition of QWL, its dimensions, and consequently on the methods to use for its measurement. To the best of our knowledge, the systematic reviews currently available in the literature on QWL measurement in European organisations investigate only a particular industry and/or working population. Moreover, they do not focus specifically on composite indicators, although they appear promising in facilitating QWL understanding and comparisons for supporting decision-makers and policy makers. To overcome these gaps, we conducted a systematic review to identify composite indicators for measuring QWL in European organisations. The review returned 19 studies that are analysed based on a set of factors related to QWL locutions, index name, geographical area, industry or population, level of analysis, dimensions, type of data, inputs, outputs, and test and/or validation. The results highlight a significant heterogeneity among the indicators, confirming the lack of an agreed upon QWL composite indicator for Europe. Such heterogeneity concerns also QWL dimensions. A critical comparison of the different composite indicators is provided, along with a unifying proposal of QWL macro-dimensions. Several gaps in the literature are pointed out suggesting directions for future research.

Environmental impact and use of energy and materials are relevant topics in companies. To achieve energy savings and enhance environmental performance, managers can invest in technologies (technical measures) and/or implement management practices (low-cost and non-technical measures). This paper focuses on energy and environmental management practices in foundry, which is a particularly energy-intensive industry producing significant carbon dioxide emissions. We conducted a scoping review of scientific publications and technical documents to identify practices that enable energy efficiency improvement and adverse environmental impact reduction in cast iron foundries using coreless induction furnaces. The review returned 399 practices, which we categorised according to the process step of application and theme. We developed a hierarchy to classify the practices according to their sustainability. The results show that the practices proposed in the literature focus mainly on avoiding or reducing resource consumption, rather than on recovering residual value. The intended contribution is to promote the adoption of management practices as an effective lever to increase energy efficiency and reduce environmental impacts, while also providing a summary of current knowledge to facilitate the identification of areas for further research. The review could also support foundry managers in the selection and prioritisation of the practices to adopt.

Purpose. In the steel industry, performing activities in confined spaces where potential oxygen (O₂) displacement can occur may expose workers to fatal consequences. To the best of our knowledge, no quantitative exposure assessment of O₂ deficiency in steel confined spaces is available in the literature. To overcome this gap, we perform Oxygen Deficiency Hazard (ODH) assessments in real confined spaces using two existing models to identify the most critical parameters responsible for ODH, and suggest controls for mitigating the asphyxiation risk. Methods. We applied a well-mixed model and a Near Field-Far Field approach to estimate the indoor O₂ level in time during and following releases of simple asphyxiants. Models’ inputs were mainly gathered thanks to audits and instrumental tests in three firms. Results. The most severe ODH exposures are posed in spaces with a restricted volume and where accidental releases of inert gases can occur. Such exposures can be controlled through early release detections and augmented reality systems. Conclusions. ODH assessments in confined spaces of steel firms allow the identification of the most critical parameters from an O₂ depletion perspective, focusing on which data need careful measurement, and help to establish controls compatible with the operations conducted into these areas.

In the last two years, the world has been overwhelmed by SARS-CoV-2. One of the most important ways to prevent the spread of the virus is the control of indoor conditions: from surface hygiene to ventilation. Regarding the indoor environments, monitoring the presence of the virus in the indoor air seems to be promising, since there is strong evidence that airborne transmission through infected droplets and aerosols is its dominant transmission route. So far, few studies report the successful detection of SARS-CoV-2 in the air; moreover, the lack of a standard guideline for air monitoring reduces the uniformity of the results and their usefulness in the management of the risk of virus transmission. In this work, starting from a critical analysis of the existing standards and guidelines for indoor air quality, we define a strategy to set-up indoor air sampling plans for the detection of SARS-CoV-2. The strategy is then tested through a case study conducted in two kindergartens in the metropolitan city of Milan, in Italy, involving a total of 290 children and 47 teachers from 19 classrooms. The results proved its completeness, effectiveness, and suitability as a key tool in the airborne SARS-CoV-2 infection risk management process. Future research directions are then identified and discussed.

Several surveys and clinical studies report high prevalence of work-related musculoskeletal disorders (WMSDs) among sonographers and sonologists. Better performing ultrasound devices can increase the number and quality of examinations, but also reduce the user comfort and increase the risk of WMSDs. This should lead the choice of the device to buy and use. To support hospitals or diagnostic centres in selecting the best ultrasound device, this study provides a structured methodology based on a multi-criteria approach, the Analytic Hierarchy Process. It has a Goal (to optimise workers’ well-being and satisfy company production objectives) and 45 evaluation elements. It was applied in an Italian hospital comparing 3 alternatives: wireless, portable, and cart-based. The latter proved to be the best in satisfying the Goal, whereas a previous study obtained that the wireless device was preferable considering only the ergonomic point of view. The case study validated the applicability of the methodology. Practitioner summary: This paper provides the decision-makers of hospitals or diagnostic centres with a multi-criteria methodology to select the best ultrasound device capable of optimising workers’ well-being and satisfying company production objectives. The methodology can also support manufacturers of ultrasound devices in improving their products. Abbreviations: AHP: analytic hierarchy process; AIUM: American Institute of Ultrasound in Medicine; BSI: British Standards Institution; CEN: European Committee for Standardisation; EU-OSHA: EU Agency for Occupational Safety and Health; ISO: International Organisation for Standardisation; MCMD: multiple criteria decision-making; NIOSH: US National Institute for Occupational Safety and Health; SDMS: society of diagnostic medical sonography; WHO: World Health OrganizationWMSD: work-related musculoskeletal disorder