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Abstract: This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental scenarios with different CR parameters were analyzed in terms of the setup time, assembly time, finished products, work in process, and worker utilization. The main results show that personalized CR parameters significantly improve efficiency and productivity. The scenario in which CR parameters were tailored to individual workers, balanced the workload, and minimized worker stress, resulting in higher productivity compared to non-people-centric settings. The study shows that personalization reduces cognitive and physical stress, promotes worker well-being, and is consistent with the principles of human-centered manufacturing. Overall, our research supports the adoption of personalized, collaborative workplace parameters, supported by the mathematical model, to optimize employee efficiency and health, contributing to human-centered and efficient HRC environments.
Keywords: human–robot workplace, collaborative workplace, human-centered manufacturing, stress index, modelling, efficiencxy
Published in DKUM: 03.09.2024; Views: 38; Downloads: 17
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Abstract: Presented paper investigates the application of digital twins for the optimisation of intelligent manufacturing systems and focuses on the comparison between simulation modelling results and real-world production conditions. A digital twin was created in the Simio software environment using a data-driven simulation model derived from a real-world production system. Running the digital twin in real time, which was displayed graphically, facilitated the analysis of key parameters, including the number of finished products, average flow time, workstation utilization and product quality. The discrepancies were attributed to the use of random distributions of input data in the dynamic digital twin, as opposed to the long-term measurements and averages in the real-world system. Despite the limitations in the case study, the results underline the financial justification and predictive capabilities of digital twins for optimising production systems. Real-time operation enables continuous evaluation and tracking of parameters and offers high benefits for intelligent production systems. The study emphasises the importance of accurate selection of input data and warns that even small deviations can lead to inaccurate results. Finally, the paper high-lights the role of digital twins in optimising production systems and argues for careful consideration of input data. It highlights the importance of analysing real-world production systems and creating efficient simulation models as a basis for digital twin solutions. The results encourage extending the research to different types of production, from job shop to mass production, in order to obtain a comprehensive optimisation perspective.
Keywords: smart manufacturing, digital twin, optimisation, simulation modelling, Simio, case study
Published in DKUM: 25.03.2024; Views: 277; Downloads: 25
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Abstract: Collaborative workplaces are increasingly used in production systems. The possibility of direct collaboration between robots and humans brings many advantages, as it allows the simultaneous use of human and robotic strengths. However, collaboration between a collaborative robot and a human raises concerns about the safety of the interaction, the impact of the robot on human health, human efficiency, etc. Additionally, research is unexplored in the field of the collaborative robot’s audio-visual effects on the worker’s efficiency. Our study results contribute to the field of studying collaborative robots’ audio-visual effects on the worker’s behavior. In this research, we analyze the effect of the changing motion parameters of the collaborative robot (speed and acceleration) on the efficiency of the worker and, consequently, on the production process. Based on the experimental results, we were able to confirm the impact of robot speed and acceleration on the worker’s efficiency in terms of assembly time. We also concluded that the sound level and presence of a visual barrier between the worker and robot by themselves have no effect on the worker’s efficiency. The experimental part of the paper clearly identifies the impact of visualization on work efficiency. According to the results, the robot’s audio-visual effects play a key role in achieving high efficiency and, consequently, justifying the implementation of a collaborative workplace.
Keywords: collaborative robot, worker efficiency, motion parameters, visual contact, sound, human-robot symmetry, repeated measures ANOVA
Published in DKUM: 11.12.2023; Views: 332; Downloads: 35
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Abstract: Magistrsko delo obsega teoretično področje oblikovanja proizvodnih sistemov kot študijo aplikativnega primera. Osnovni problem aplikativnega primera je predstavljala razmestitev delovnih mest v proizvodnem procesu. Primer je podprt z uporabo analitičnih preračunov (izračuni za planiranje kapacitet, diagram toka, OD-KAM matrika, trikotna metoda) in razširjen s pomočjo računalniških okolij, kot so Autodesk Inventor, AutoCAD Mechanical in Autodesk Process Analysis. Kljub izvedenim analitičnim izračunom je uporaba simulacijskih okolij omogočila prikaz morebitnih težav delovanja proizvodnega sistema, katerih s samo uporabo analitičnih metod ne zaznamo oz. izpustimo. Primer obsega izvedbo treh simulacijskih scenarijev, kateri kljub pomanjkanju specifičnih podatkov sistem dodobra opišejo in pripomorejo k boljšemu razumevanju delovanja proizvodnega sistema. Po uspešno zaključenih izračunih in simulacijah so predstavljeni dobljeni rezultati, ki so tudi ustrezno analizirani in ovrednoteni.
Keywords: Razmeščanje delovnih mest, načrtovanje in oblikovanje proizvodnih sistemov, simulacije proizvodnih sistemov, programsko orodje Autodesk.
Published in DKUM: 03.08.2021; Views: 1277; Downloads: 160
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