Author:
Xu Liyun,Ariel M.F Jonathan William,Zhou Zhuo,Qin Haoran
Abstract
Abstract
The number of automatic guided vehicles (AGVs) and the sequence of workpieces transported from the warehouse affect the final processing completion time of the system. Therefore, this paper researches the optimal configuration number of AGVs and sequence of transport workpieces in the workshop. Firstly, an optimization model is built with minimizing completion time. Secondly, Plant Simulation is used to determine the optimal configuration number of AGVs. Thirdly, linear sequence and uniform crossover, inversion, and exchange mutation are used to generate a new generation of populations, and a genetic algorithm (GA) is improved to optimize the transportation sequence of workpieces. Finally, an example verifies the effectiveness of the proposed method.
Subject
Computer Science Applications,History,Education
Reference18 articles.
1. Towards a wisdom manufacturing vision[J];Yao;International Journal of Computer Integrated Manufacturing,2015
2. Intelligent factory many-objective distributed flexible job shop collaborative scheduling method[J];Sang;Computers & Industrial Engineering,2022
3. Travel time optimization on multi-AGV routing by reverse annealing[J];Haba,2022
4. Autonomous unmanned heterogeneous vehicles for persistent monitoring;Lappas;Drones,2022
5. A mechanism for scheduling multi-robot intelligent warehouse systems faces dynamic demand;Li;Journal of Intelligent Manufacturing,2020