A Novel MILP Model for Human-Robot Collaboration in Assembly Line Balancing under budget constraints

We develop a novel mathematical approach to enhance the efficiency of assembly line with Human-Robot Collaboration (HRC). The developed model strives to reduce cycle time while considering operational limitations and budgetary factors. It tackles key challenges such as task distribution, setup durations, and the complexities of multi-station, multi-mode assembly processes. Tested across different scenarios, the model demonstrates significant improvements in workflow efficiency and resource allocation. Ultimately, this research presents a structured methodology to foster more flexible and high-performing assembly lines through optimized HRC scheduling.