System Modelling and Simulation for Study of Human-Machine Collaboration Technologies Implementation on Assembly Line

Abstract

Human-machine collaboration (HMC) has been a growing trend in research and real-world implementation. Many manufacturers started to integrate the robot into their production line and able to collaborate with the human. The aim is to boost the production system performances by taking advantages of both human and robot. However, the human-machine collaboration required a comprehensive design to make sure the system run well, thus enhance the production system productivity and efficiency. This paper elaborated a human-machine collaboration design for a cartoys assembly line. The design is modelled by using discrete event simulation (DES) approach. The simulation goal to give picture and prediction regarding system performances and behaviour from the HMC assembly line design. Several sequencing rules are applied to the system's resources. Comparison between sequencing rules and Pareto Frontier analysis are conducted in the study to give insight regarding the system performance and to obtain the preferable sequencing rules that applied to the resources. The result is sequencing rules provide a significant effect on system performances such as resources utilization, throughput, and flow time. The most preferable sequencing rule for the assembly line has been identified.