Real-Time manufacturing optimization with a simulation model and virtual reality

Abstract This paper presents the main steps towards Real-Time (RT) manufacturing optimization with a simulation model and Virtual-Reality (VR) methods and equipment. Real-world production system characteristics are applied to a simulation model in the simulation software Simio, using different simulation scenarios. We want to determine the possible bottlenecks, the desired cycle time, the consequences of the system failures and maximum processing time at critical points in the production system. Using VR Oculus Rift equipment, we propose a Real-Time optimization method for the purpose of production optimization. Practical implementation of VR methods allows RT production system optimization and high-resolution graphical presentation of the simulation model. The simulation results obtained are presented numerically and graphically, the findings and suggestions are given for the optimization of the production system. The basic contribution of the article is the implementation of discrete system simulations and VR methods for the purpose of RT decision-making. Due to the complexity of high customization manufacturing systems, RT optimization is vital for obtaining a cost efficient production system, especially when we talk about a high-mix low-volume production system.