Monte Carlo Algorithm to Study Performance Parameters of Shuttle Systems

Abstract

Shuttle systems provide alternative solutions in storage technology. Ma-terial flow analyses of these systems are extensive due to complex interac-tion of several shuttles and lift elements. Besides classic cycle time calcu-lation, it also requires advanced analyzing methods. At the Institute of Logistics Engineering (ITL), Graz University of Technology, an innovative, software-based approach has been developed to investigate the performance of shuttle systems. This approach is based on the Monte Carlo method. The software tool takes into account a variety of different systems and operating parameters to reflect operative behavior of shuttle systems

    Similar works