Abstract
This research was motivated by the need for detailed information about the spatial and contextualized distribution of occupational exposures, which can be used to improve the layout of the workspace. To achieve this goal, the study emphasizes the need for position-related information and contextualized data. To address these concerns, the study proposes the use of Indoor Positioning System (IPS) sensors that can be further developed to establish a set of metrics for measuring and evaluating occupational exposures. The proposed IPS-based sensor fusion framework, which combines various environmental parameters with position data, can provide valuable insights into the operator’s working environment. For this, we propose an indoor position-based comfort level indicator. By identifying areas of improvement, interventions can be implemented to enhance operator performance and overall health. The measurement unit installed on a manual material handling device in a real production environment and collected data using temperature, noise, and humidity sensors. The results demonstrated the applicability of the proposed comfort level indicator in a wire harness manufacturing setting, providing location-based information to enhance operator well-being. Overall, the proposed framework can be used as a tool to monitor the industrial environment, especially the well-being of shop floor operators.
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Acknowledgment
This work has been implemented by the TKP2021-NVA-10 project with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the 2021 Thematic Excellence Programme funding scheme. Tamás Ruppert was supported by the ÚNKP-22-4 New National Excellence Program of the Ministry for Innovation and Technology.
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Halász, G., Medvegy, T., Abonyi, J., Ruppert, T. (2023). Indoor Positioning-based Occupational Exposures Mapping and Operator Well-being Assessment in Manufacturing Environment. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-031-43662-8_39
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DOI: https://doi.org/10.1007/978-3-031-43662-8_39
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