| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Thiede, Sebastian
University of Twente
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2022Integration of Energy Oriented Manufacturing Simulation into the Life Cycle Evaluation of Lightweight Body Partscitations
- 2021Machine learning and simulation-based surrogate modeling for improved process chain operationcitations
- 2021Modeling energy and resource use in additive manufacturing of automotive series parts with multi-jet fusion and selective laser sinteringcitations
- 2020Modeling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteriescitations
- 2020Industrie 4.0 in der Galvanotechnik
- 2020Root Cause Analysis in Lithium-Ion Battery Production with FMEA-Based Large-Scale Bayesian Network
- 2020Integrated computational product and production engineering for multi-material lightweight structurescitations
- 2020Agent-Based Simulation Approach for Occupational Safety and Health Planningcitations
- 2020Model-based analysis, control and dosing of electroplating electrolytescitations
- 2019Modelling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteriescitations
- 2012A hierarchical evaluation scheme for industrial process chainscitations
- 2011Synergies from process and energy oriented process chain simulation - A case study from the aluminium die casting industrycitations
Places of action
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article
Agent-Based Simulation Approach for Occupational Safety and Health Planning
Abstract
The current and future occupational safety and health (OSH) regulations from various national and international regulations such as REACH ask for an increasing process transparency in the electroplating industry to monitor the OSH situation. Currently, the COVID-19-related situation of shopfloor workers also requires an increased transparency in contact tracking. Manufacturing system simulation is a promising approach in this context. To date, simulation models mainly focus on the process-specific technical, economic, or environmental aspects. Modelling the OSH of workers in plating industry is rarely the focus of these approaches. This paper shows an integrated simulation framework to model industrial automated electroplating lines and the interaction with involved shopfloor workers as part of a cyber-physical production system. Line-integrated pre- and post-treatment processes as cleaning and degreasing are considered as well as their effects on shopfloor workers. In a case study, different applications with regard to OSH are shown to demonstrate the applicability of the developed framework and the high adaptability to new challenges as social distancing during pandemics.