TY - JFULL AU - Titanilla Komenda and Viktorio Malisa PY - 2017/2/ TI - Simulation-Based Diversity Management in Human-Robot Collaborative Scenarios T2 - International Journal of Industrial and Manufacturing Engineering SP - 141 EP - 146 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10006292 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 121, 2017 N2 - In this paper, the influence of diversity-related factors on the design of collaborative scenarios is analysed. Based on the evaluation, a framework for simulating human-robot-collaboration is presented that considers both human factors as well as the overall system performance. The implementation of the model is shown on a real-life scenario from industry and validated in terms of traceability, safety and physical limitations. By comparing scenarios that consider diversity with those only meeting system performance, an overall understanding of individually adapted human-robot-collaborative workspaces is reached. A diversity-related guideline for human-robot-collaborations provides a summary of the research and aids in optimizing future applications. Finally, limitations and future amendments of the model are discussed. ER -