A dynamic scheduling method for self-organized AGVs in production logistics systems

Lixiang Zhang, Yan Yan, Yaoguang Hu*, Weibo Ren

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

15 引用 (Scopus)

摘要

Automated guided vehicles (AGV) with different carrying capacities are required for complex material handling in smart factories, which causes resource waste. To minimize the delay and reduce the cost of logistics systems, this paper proposes a dynamic scheduling method for self-organized AGVs (SAGV) in production logistics systems, where multiple identical SAGVs can communicate and freely combine with others as one vehicle to perform one task. Using an improved gene expression programming to learning dynamic dispatching rules, experimental results show that dispatching rules learned are efficient and the cost of logistic systems by using SAGVs is significantly reduced.

源语言英语
页(从-至)381-386
页数6
期刊Procedia CIRP
104
DOI
出版状态已出版 - 2021
活动54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Patras, 希腊
期限: 22 9月 202124 9月 2021

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