Future Anticipative Reasoning of Automated Guided Vehicle Decisions in Autonomous Decentralized Flexible Manufacturing System
Nowadays the market for industrial companies is becoming more and more globalized and highly competitive, forcing the companies to shorten the duration of the manufacturing system development time in order to reduce the time to market. In order to achieve this target, the hierarchical systems used in the previous manufacturing systems are not enough because they cannot deal effectively with unexpected situations. To achieve flexibility in manufacturing systems, the concept of an Autonomous Decentralized Flexible Manufacturing System (AD-FMS) is useful. In this paper, we introduce a hypothetical reasoning based algorithm called the Algorithm for Future Anticipative Reasoning(AFAR) which is able to decide a conceivable next action of an Automated Guided Vehicle (AGV) that works autonomously in the AD-FMS. In order to evaluate the performance of the proposed algorithm, computational experiments are performed. The results show that the proposed algorithm reduced the number of collisions between the AGVs in AD-FMS and improved the AGV efficiency.
Flexible Manufacturing System Automated Guided Vehicle Autonomous Decentralized
Rizauddin RAMLI Jaber ABU QUDEIRI Hidehiko YAMAMOTO
Intelligent Manufacturing Systems Laboratory,Faculty of Engineering,Gifu University,1-1 Yanagido,Gif Intelligent Manufacturing Systems Laboratory,Faculty of Engineering,Gifu University,1-1 Yanagido,Gif
国际会议
北京
英文
2007-05-30（万方平台首次上网日期，不代表论文的发表时间）