Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology

Aiming at the problems of premature convergence of existing workshop dynamic data scheduling methods and the decline in product output, a flexible industrial job shop dynamic data scheduling method based on digital twin technology is proposed. First, digital twin technology is proposed, which provid...

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Main Authors: Juan Li, Xianghong Tian, Jing Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/1009507
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author Juan Li
Xianghong Tian
Jing Liu
author_facet Juan Li
Xianghong Tian
Jing Liu
author_sort Juan Li
collection DOAJ
description Aiming at the problems of premature convergence of existing workshop dynamic data scheduling methods and the decline in product output, a flexible industrial job shop dynamic data scheduling method based on digital twin technology is proposed. First, digital twin technology is proposed, which provides a design and theoretical basis for the simulation tour of a flexible industrial job shop, building the all-factor digital information fusion model of a flexible industrial workshop to comprehensively control the all-factor digital information of the workshops. A CGA algorithm is proposed by introducing the cloud model. The algorithm is used to solve the model, and the chaotic particle swarm optimization algorithm is used to maintain the particle diversity to complete the dynamic data scheduling of a flexible industrial job shop. The experimental results show that the designed method can complete the coordinated scheduling among multiple production lines in the least amount of time.
format Article
id doaj-art-19b67f7f95184884aad80742f3792452
institution Kabale University
issn 1607-887X
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-19b67f7f95184884aad80742f37924522025-02-03T06:08:41ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/1009507Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin TechnologyJuan Li0Xianghong Tian1Jing Liu2School of Computer EngineeringSchool of Computer EngineeringSchool of Computer EngineeringAiming at the problems of premature convergence of existing workshop dynamic data scheduling methods and the decline in product output, a flexible industrial job shop dynamic data scheduling method based on digital twin technology is proposed. First, digital twin technology is proposed, which provides a design and theoretical basis for the simulation tour of a flexible industrial job shop, building the all-factor digital information fusion model of a flexible industrial workshop to comprehensively control the all-factor digital information of the workshops. A CGA algorithm is proposed by introducing the cloud model. The algorithm is used to solve the model, and the chaotic particle swarm optimization algorithm is used to maintain the particle diversity to complete the dynamic data scheduling of a flexible industrial job shop. The experimental results show that the designed method can complete the coordinated scheduling among multiple production lines in the least amount of time.http://dx.doi.org/10.1155/2022/1009507
spellingShingle Juan Li
Xianghong Tian
Jing Liu
Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
Discrete Dynamics in Nature and Society
title Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
title_full Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
title_fullStr Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
title_full_unstemmed Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
title_short Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology
title_sort dynamic data scheduling of a flexible industrial job shop based on digital twin technology
url http://dx.doi.org/10.1155/2022/1009507
work_keys_str_mv AT juanli dynamicdataschedulingofaflexibleindustrialjobshopbasedondigitaltwintechnology
AT xianghongtian dynamicdataschedulingofaflexibleindustrialjobshopbasedondigitaltwintechnology
AT jingliu dynamicdataschedulingofaflexibleindustrialjobshopbasedondigitaltwintechnology