Performance Studies of Robotic Vehicle Warehousing Systems

• Main Authors: Kuo-Chen Fan, 范國宸
• Other Authors: Po-Hsun Kuo
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/vdv263

碩士 === 國立臺灣科技大學 === 工業管理系 === 104 === A large part of order picking operations involves nonproductive travel time, but the only productive picking process plays a small part in the entire procedures. To save labor costs, labors are only employed in the item picking process, and the robotic vehicles are deployed for concurrent transport between positions. This study provides analytical models based on queueing network to evaluate the performance of robotic vehicles and pickers according to the order arrival pattern, system configuration and number of vehicles and pickers. Simulation experiments are executed to validate the queueing models and predict system performance based on different system design factors. This model can be extended to estimate system operation costs depending on customer orders and required system performance.