Solving Clustering and Allocation Problems of Human-Robot Collaboration in Smart Industry 5.0 Applications using FIS-GRA Integration-Based Multi-Objective Programming Model

Due to rapid technological advancements in recent decades, the integration of robots alongside humans in manufacturing has significantly expanded. Beyond simply replacing workers in traditional roles, robots now actively partner with humans to complete tasks. However, successful collaboration between humans and robots requires careful consideration of several crucial factors. This study introduces an efficient approach to collaboratively assigning robots, workers, and tasks. The methodology incorporates a fuzzy inference system and grey relational analysis, integrating two multi-objective programming models as assignment tools. A real case study demonstrates the application of this approach, revealing its superior effectiveness compared to conventional assignment methods.