Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle Jobs

At present, automated material processing systems have been adopted by numerous high-tech enterprises, which mainly include Rail Guided Vehicles (RGVs) and CNC Machines. However, in the actual operation process, RGVs are generally scheduled according to the preset procedures of the system, and the l...

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Main Authors: Yinghao Meng, Zihao Xu, Faqun Qi, Zhen Yin
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/45/1/33
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author Yinghao Meng
Zihao Xu
Faqun Qi
Zhen Yin
author_facet Yinghao Meng
Zihao Xu
Faqun Qi
Zhen Yin
author_sort Yinghao Meng
collection DOAJ
description At present, automated material processing systems have been adopted by numerous high-tech enterprises, which mainly include Rail Guided Vehicles (RGVs) and CNC Machines. However, in the actual operation process, RGVs are generally scheduled according to the preset procedures of the system, and the lack of intelligent models considering the advanced movement does not elevate the operation efficiency of the system. In this paper, we propose an intelligent scheduling model for RGVs with advanced movement, considering all the work of the RGVs and its matching CNCs in the system within the cycle time, and verify the accuracy and superiority of the model by taking an automated material processing system of a factory as an example.
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spelling doaj.art-2600fd0f053f4a29b3cc01b959d0bb702023-12-22T14:06:35ZengMDPI AGEngineering Proceedings2673-45912023-09-014513310.3390/engproc2023045033Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle JobsYinghao Meng0Zihao Xu1Faqun Qi2Zhen Yin3School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, ChinaSchool of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, ChinaSchool of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, ChinaSchool of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, ChinaAt present, automated material processing systems have been adopted by numerous high-tech enterprises, which mainly include Rail Guided Vehicles (RGVs) and CNC Machines. However, in the actual operation process, RGVs are generally scheduled according to the preset procedures of the system, and the lack of intelligent models considering the advanced movement does not elevate the operation efficiency of the system. In this paper, we propose an intelligent scheduling model for RGVs with advanced movement, considering all the work of the RGVs and its matching CNCs in the system within the cycle time, and verify the accuracy and superiority of the model by taking an automated material processing system of a factory as an example.https://www.mdpi.com/2673-4591/45/1/33RGVscheduling modeladvanced movementrepetitive jobswork efficiency
spellingShingle Yinghao Meng
Zihao Xu
Faqun Qi
Zhen Yin
Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle Jobs
Engineering Proceedings
RGV
scheduling model
advanced movement
repetitive jobs
work efficiency
title Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle Jobs
title_full Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle Jobs
title_fullStr Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle Jobs
title_full_unstemmed Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle Jobs
title_short Intelligent RGV Scheduling Model Considering Advanced Movement under Repeated Single-Cycle Jobs
title_sort intelligent rgv scheduling model considering advanced movement under repeated single cycle jobs
topic RGV
scheduling model
advanced movement
repetitive jobs
work efficiency
url https://www.mdpi.com/2673-4591/45/1/33
work_keys_str_mv AT yinghaomeng intelligentrgvschedulingmodelconsideringadvancedmovementunderrepeatedsinglecyclejobs
AT zihaoxu intelligentrgvschedulingmodelconsideringadvancedmovementunderrepeatedsinglecyclejobs
AT faqunqi intelligentrgvschedulingmodelconsideringadvancedmovementunderrepeatedsinglecyclejobs
AT zhenyin intelligentrgvschedulingmodelconsideringadvancedmovementunderrepeatedsinglecyclejobs