Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems: Research Progress and Prospects

LI Mingxing; ZHANG Kai; SU Yifen; QU Ting; ZHONG Ray Y.; HUANG George Q.

doi:10.7652/xjtuxb202xxxxxx

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Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems: Research Progress and Prospects

更新时间：2025-06-25

- Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems: Research Progress and Prospects
- Moren Journal (2025)
- 作者机构：
  
  1.暨南大学物联网与物流工程研究院,广东省珠海市519070
  2.暨南大学智能科学与工程学院,广东省珠海市519070
  3.暨南大学广东省大湾区智慧物流国际科技合作基地,广东省珠海市519070
  4.暨南大学管理学院,广东省广州市510632
  5.香港大学数据与系统工程系，香港特别行政区,香港特别行政区香港岛
  6.香港理工大学工业与系统工程系，香港特别行政区,香港特别行政区九龙
  7.香港理工大学先进制造研究院，香港特别行政区,香港特别行政区九龙
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202xxxxxx
  CLC： TH166
- Received：28 May 2025，
  
  Revised：2025-06-20，
  
  Accepted：25 June 2025，
- 稿件说明：
移动端阅览
LI Mingxing, ZHANG Kai, SU Yifen, et al. Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems: Research Progress and Prospects[J/OL]. Moren Journal, 2025.
DOI：

LI Mingxing, ZHANG Kai, SU Yifen, et al. Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems: Research Progress and Prospects[J/OL]. Moren Journal, 2025. DOI： 10.7652/xjtuxb202xxxxxx.

摘要

工业互联网环境下，订单驱动广域多企业制造单元形成的分布式柔性智能制造系统中，存在“外部随机需求与内部多源扰动并发下异质制造单元间动态协同管控”的共性科学问题。围绕系统的“智能化集成管控、自组织结构优化、自适应运作控制”三大核心难题，学者们展开了广泛而深入的研究，本文系统性地总结和梳理了近年来面向工业4.0分布式柔性智能制造系统的联动管控架构与方法研究进展。首先，从信息架构、资源架构、管控架构三个层面梳理了面向制造系统联动的架构体系；其次，分析了分布式柔性智能制造系统配置方法研究现状，包含跨主体多级联动结构优化配置、不确定性扰动下系统重构/重配置、资源能力评估/系统结构评估等；随后，从多环节多单元联动运作管控决策、系统运作状态感知与扰动分析评估、多源扰动环境下的自适应联动决策三个方面分别阐述了分布式柔性智能制造系统联动运作决策方法的研究现状；最后，探讨了未来进一步拓展与深化工业互联分布式柔性智能制造系统联动管控的理论、架构与方法的重要方向，为智能制造系统科学与协同管控提供新的思路。

Abstract

The coordinated management and control are a critical scientific challenge in Distributed Flexible Smart Manufacturing Systems (DFSMS) in the context of industrial internet. These systems

formed by order-driven cross-enterprise intelligent manufacturing units

operating under the concurrency of external stochastic demands and internal multi-source disturbances that hinder dynamic coordination among heterogeneous units. Extensive research has been done by focusing on three core challenges: intelligent system integration

self-organizing structural optimization

and adaptive operational control. This paper systematically reviews and synthesizes recent advancements in synchronization architectures and methodologies for Industry 4.0 DFSMS

including: (1) Synchronization architectures

examined through informational

resource-oriented

and management perspectives; (2) Synchronized manufacturing system configuration methods

encompassing cross-entity multi-level structural optimization

reconfiguration under uncertainties

and resource/structural capability assessment; and (3) Synchronized operations management and control methods

including multi-process

multi-unit coordination

system state perception with disturbance analysis

and adaptive decision-making under multi-source disturbances. Moreover

future research directions are discussed for theoretical

architectural

and methodological extensions to advance synchronization in industrial internet-based DFSMS. This comprehensive review establishes new paradigms and critical insights for intelligent manufacturing system science and collaborative management.

关键词

Keywords

references

ZHANG X , MING X . A smart system of Customer-product Interaction Life Cycle (CILC) in industrial Internet era for mass personalization from industrial practice survey: identification, definition, acquisition and parsing [J ] . Journal of Intelligent Manufacturing , 2024 , 35 ( 2 ): 727 - 756 .

Q IN Z , LU Y . Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization [J ] . Journal of Manufacturing Systems 2021 , 60 : 35 - 47 .

蔡磊 , 李文锋 , 罗云 . 个性化定制车间生产-物流协同调度框架与算法研究 [J ] . 机械工程学报 2022 , 58 ( 7 ): 214 - 226 .

CAI L , LI W , LUO Y . Framework and algorithm of customized workshop production-logistics collaborative scheduling [J ] . Journal of Mechanical Engineering , 2022 , 58 ( 7 ): 214 - 226 .

LI M , GUO D , LI M , et al . Operation twins: production-intralogistics synchronisation in Industry 4.0 [J ] . International Journal of Production Research , 2023 , 61 ( 15 ): 5193 - 5211 .

江平宇 , 杨茂林 , 李卫东 , 刘加军 , 郭威 , 李普林 . 集体智慧研究综述及其社群化制造应用探索 [J ] . 中国机械工程 2020 , 31 ( 15 ): 14 .

JIANG P , YANG M , LI W , et al . CI Literature Review and Its Application Exploration in Social Manufacturing [J ] . China Mechanical Engineering , 2020 , 31 ( 15 ).

臧冀原 , 刘宇飞 , 王柏村 , 苗仲桢 , 薛塬 , 李培根 . 面向2035的智能制造技术预见和路线图研究 [J ] . 机械工程学报 2022 , 58 ( 4 ): 285 - 304 .

ZANG J , LIU Y , WANG B , et al . Technology forecasting and roadmapping of intelligent manufacturing by 2035 [J ] . Journal of Mechanical Engineering , 2022 , 58 ( 4 ): 285 - 308 .

HU Y , JIA Q , YAO Y , et al . Industrial internet of things intelligence empowering smart manufacturing: A literature review [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 11 ): 19143 - 19167 .

LI Y , ZHANG Y . Digital twin for Industrial Internet [J ] . Fundamental Research 2024 , 4 ( 1 ): 21 - 24 .

赖李媛君 , 张霖 , 任磊 , 王凌 . 工业互联网智能调度建模与方法研究综述 [J ] . 计算机集成制造系统 2022 , 28 ( 7 ): 15 .

LAI L , ZHANG L , REN L , et al . Overview on intelligent scheduling models and methods for industrial Internet-of-things [J ] . Computer Integrated Manufacturing System , 2022 , 28 ( 7 ): 1966 .

宁晓菊 , 陈艳 , 朱伟军 , 等 . 基于RFID的工业园区SHIP智能物流管理系统 [J ] . 制造业自动化 , 2014 , 36 ( 02 ): 10 - 13 .

NING X , CHEN Y , ZHU W et al . RFID-based smart logistics management system for supply hub in industrial park (SHIP) [J ] . Manufacturing Automation , 2014 , 36 ( 02 ): 10 - 13 .

周达坚 , 屈挺 , 张凯 , 等 . 数字孪生驱动的工业园区“产—运—存”联动决策架构、模型与方法 [J ] . 计算机集成制造系统 , 2019 , 25 ( 06 ): 1576 - 1590 .

ZHOU D , QU T , ZHANG K , et al . Digital twin driven decision-making architecture model and method for synchronized production-transportation-storage system in industrial park [J ] . Computer Integrated Manufacturing Systems , CIMS, 2019 , 25 ( 6 ): 1576 - 1590 .

蒋红飞 , 屈挺 , 张凯 , 等 . 基于数字孪生的高动态生产系统联动决策方法 [J ] . 工业工程 , 2021 , 24 ( 02 ): 57 - 67 .

JIANG H , QU T , ZHANG K . A synchronized decision-making method for highly dynamic production system based on digital-twin [J ] . Industrial Engineering Journal , 2021 , 24 ( 2 ): 57 .

聂庆玮 , 朱海华 , 唐敦兵 , 等 . 数据驱动的网络化制造系统研究框架及其主体性分析 [J ] . 中国科学:技术科学 , 2023 , 53 ( 07 ): 1062 - 1083 .

NIE Q , ZHU H , TANG D , et al . Analysis of the conceptual framework and subjectivity principle of a data-driven networked manufacturing system [J ] . SCIENTIA SINICA Technologica , 2023 , 53 ( 7 ): 1062 - 1083 .

刘轩 , 屈挺 , 吴强 , 等 . 基于物联网的“生产—物流”动态齐套联动问题分析及其解决方案 [J ] . 工业工程 , 2017 , 20 ( 03 ): 35 - 44 .

LIU X , QU T , WU Q , et al . Internet-of-thing-based dynamic kitting synchronization of production and logistics: analysis and solution [J ] . Ind Eng J , 2017 , 20 ( 3 ): 35 - 44 .

王时龙 , 王彦凯 , 杨波 , 等 . 基于层次化数字孪生的工业互联网制造新范式——雾制造 [J ] . 计算机集成制造系统 , 2019 , 25 ( 12 ): 3070 - 3080 .

WANG S , WANG Y , YANG B , et al . Fog manufacturing: New paradigm of industrial internet manufacturing based on hierarchical digital twin [J ] . Computer Intergrated Manufacturing Systems , 2019 , 25 : 3070 - 3080 .

江平宇 , 史皓良 , 杨茂林 , 等 . 面向工业互联网的社群化制造模式及3D打印测试床研发 [J ] . 中国科学:技术科学 , 2022 , 52 ( 01 ): 88 - 103 .

JIANG P Y , SHI L H , YANG M L , et al . Research and development of social manufacturing model and 3D printing testbed for industrial internet [J ] . Sci. Sin. Technol , 2022 , 52 : 88 - 103 .

PAN Y H , QU T , WU N Q , et al . Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture [J ] . Journal of Manufacturing Systems , 2021 , 58 : 246 - 260 .

ZHANG Z , QU T , ZHAO K , et al . Optimization Model and Strategy for Dynamic Material Distribution Scheduling Based on Digital Twin: A Step towards Sustainable Manufacturing [J ] . Sustainability , 2023 , 15 ( 23 ): 16539 .

ZHAO Z , LIN P , SHEN L , et al . IoT edge computing-enabled collaborative tracking system for manufacturing resources in industrial park [J ] . Advanced Engineering Informatics , 2020 , 43 : 101044 .

PAN Y H , WU N Q , QU T , et al . Digital-twin-driven production logistics synchronization system for vehicle routing problems with pick-up and delivery in industrial park [J ] . International Journal of Computer Integrated Manufacturing , 2021 , 34 ( 7-8 ): 814 - 828 .

ZHANG Y , QU T , LI M , et al . Digital twin-based multi-granularity synchronisation for production-warehousing under batch processing mode [J ] . International Journal of Production Research: 1 - 20 .

ZHANG Z , QU T , ZHAO K , et al . Enhancing trusted synchronization in open production logistics: A platform framework integrating blockchain and digital twin under social manufacturing [J ] . Advanced Engineering Informatics , 2024 , 61 : 102404 .

HUANG H , QU T , QIU X , et al . Industrial internet platform-driven decentralised multi-level synchronised reconfiguration of assembly supply chains [J ] . International Journal of Production Research: 1 - 23 .

XIAO J , MA S , WANG S , et al . Fine-grained digital twin sharing framework for smart construction through an incentive mechanism [J ] . International Journal of Production Economics , 2024 , 276 : 109382 .

YANG C , LIAO F , LAN S , et al . Flexible Resource Scheduling for Software-Defined Cloud Manufacturing with Edge Computing [J ] . Engineering , 2023 , 22 : 60 - 70 .

BAO Y , ZHANG X , WANG C , et al . Further expansion from smart manufacturing system (SMS) to social smart manufacturing system (SSMS) based on industrial internet [J ] . Computers & Industrial Engineering , 2024 , 191 : 110119 .

QU T , LEI S P , WANG Z Z , et al . IoT-based real-time production logistics synchronization system under smart cloud manufacturing [J ] . The International Journal of Advanced Manufacturing Technology , 2016 , 84 : 147 - 164 .

ZHANG K , QU T , ZHOU D , et al . Digital twin-based opti-state control method for a synchronized production operation system [J ] . Robotics and Computer-Integrated Manufacturing , 2020 , 63 : 101892 .

YANG C , LAN S , WANG L , et al . Big data driven edge-cloud collaboration architecture for cloud manufacturing: a software defined perspective [J ] . IEEE access , 2020 , 8 : 45938 - 45950 .

LI Z , BARENJI A V , HUANG G Q . Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform [J ] . Robotics and Computer-Integrated Manufacturing , 2018 , 54 : 133 - 144 .

常丰田 , 周光辉 , 李锦涛 , 等 . 边-云协同下智能制造单元的物联网络协调配置方法 [J ] . 西安交通大学学报 , 2022 , 56 ( 06 ): 184 - 194 .

CHANG F , ZHOU G , LI J , et al . Coordinated configuration method for internet of things network of smart manufacturing cells under edge-cloud collaboration [J ] . Journal of Xi'an Jiaotong University , 2022 , 56 ( 6 ): 184 - 194 .

PAN Y , ZHONG R Y , QU T , et al . Multi-level digital twin-driven kitting-synchronized optimization for production logistics system [J ] . International Journal of Production Economics , 2024 , 271 : 109176 .

屈挺 , 张凯 , 闫勉 , 等 . 物联网环境下面向高动态性生产系统优态运行的联动决策与控制方法 [J ] . 机械工程学报 , 2018 , 54 ( 16 ): 24 - 33 .

QU T , ZHANG K , YAN M , et al . Synchronized decision-making and control method for opti-state execution of dynamic production systems with internet of things [J ] . Journal of Mechanical Engineering , 2018 , 54 ( 16 ): 24 - 33 .

WANG J , XU C , ZHANG J , et al . A collaborative architecture of the industrial internet platform for manufacturing systems [J ] . Robotics and Computer-Integrated Manufacturing , 2020 , 61 : 101854 .

ZHANG X , MING X , BAO Y . A flexible smart manufacturing system in mass personalization manufacturing model based on multi-module-platform, multi-virtual-unit, and multi-production-line [J ] . Computers &amp ; Industrial Engineering, 2022 , 171 : 108379 .

KIM D Y , PARK J W , BAEK S , et al . A modular factory testbed for the rapid reconfiguration of manufacturing systems [J ] . Journal of Intelligent Manufacturing , 2019 , 31 ( 3 ): 661 - 680 .

PANG Z , YANG B , CHEN R , et al . A multi-phase scheduling method for reconfigurable flexible job-shops with multi-machine cooperation based on a Scout and Mutation-based Aquila Optimizer [J ] . CIRP Journal of Manufacturing Science and Technology , 2023 , 46 : 116 - 134 .

TANG H , Di Li , WAN J , et al . A Reconfigurable Method for Intelligent Manufacturing Based on Industrial Cloud and Edge Intelligence [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 5 ): 4248 - 4259 .

RODRIGUES N , OLIVEIRA E , O P L . Decentralized and on-the-fly agent-based service reconfiguration in manufacturing systems [J ] . Computers in Industry , 2018 , 101 : 81 - 90 .

BIN Z , SIANG Y S , BAI Y , et al . Development of Digital Twin Technology Based Intelligent System for the Manufacturing Processing Line: 2024 IEEE 22nd Student Conference on Research and Development (SCOReD) [C ] : IEEE , 2024 .

JACKSON K , EFTHYMIOU K , BORTON J . Digital Manufacturing and Flexible Assembly Technologies for Reconfigurable Aerospace Production Systems [J ] . Procedia CIRP , 2016 , 52 : 274 - 279 .

ZHU Q , HUANG S , WANG G , et al . Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin [J ] . Journal of Manufacturing Systems , 2022 , 65 : 330 - 338 .

DOBROVOCZKI P , KOVÁCS A , SAKATA H , et al . Integrated system configuration and layout planning for flexible manufacturing systems [J ] . Journal of Manufacturing Systems , 2024 , 77 : 384 - 397 .

RAHARNO S , YOSEPHINE V S . Intelligent flexible assembly system for labor-intensive factory using the configurable virtual workstation concept [J ] . International Journal on Interactive Design and Manufacturing (IJIDeM) , 2024 , 18 ( 1 ): 465 - 478 .

LMAZ E Y , EROL R Z . A mathematical programming model for reconfiguration of flexible manufacturing cells [J ] . Engineering Optimization , 2014 , 47 ( 2 ): 184 - 203 .

GKOURNELOS C , KOUSI N , BAVELOS A C , et al . Model based reconfiguration of flexible production systems [J ] . Procedia CIRP , 2019 , 86 : 80 - 85 .

ALSAFI Y , VYATKIN V . Ontology-based reconfiguration agent for intelligent mechatronic systems in flexible manufacturing [J ] . Robotics and Computer-Integrated Manufacturing , 2010 , 26 ( 4 ): 381 - 391 .

PEREZ H B , JUAREZ I L , ALANIS P C G , et al . Reconfiguration Distributed Objects in an Intelligent Manufacturing Cell [J ] . IEEE Latin America Transactions , 2016 , 14 ( 1 ): 136 - 146 .

GUO D , LI M , LING S , et al . Synchronization-oriented reconfiguration of FPAI under graduation intelligent manufacturing system in the COVID-19 pandemic and beyond [J ] . Journal of Manufacturing Systems , 2021 , 60 : 893 - 902 .

HUANG J , HUANG S , MOGHADDAM S K , et al . Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools [J ] . IEEE Transactions on Industrial Informatics , 2024 , 20 ( 11 ): 13135 - 13146 .

ZHANG X , MING X , BAO Y , et al . System construction for comprehensive industrial ecosystem oriented networked collaborative manufacturing platform (NCMP) based on three chains [J ] . Advanced Engineering Informatics , 2022 , 52 : 101538 .

QIAN C , ZHANG Y , JIANG C , et al . A real-time data-driven collaborative mechanism in fixed-position assembly systems for smart manufacturing [J ] . Robotics and Computer-Integrated Manufacturing , 2020 , 61 : 101841 .

TANG Q , WU B . A digital twin-driven multi-resource constrained location system for resource allocation [J ] . The International Journal of Advanced Manufacturing Technology , 2024 , 130 ( 9-10 ): 4359 - 4385 .

ZHANG X , MING X . Reference subsystems for Smart Manufacturing Collaborative System (SMCS) from multi-processes, multi-intersections and multi-operators [J ] . Enterprise Information Systems , 2020 , 14 ( 3 ): 282 - 307 .

王伟 , 孙炳能 , 刘博 , 等 . 基于异地工厂互联的产业链网络化协同 [J ] . 机械设计与研究 , 2021 , 37 ( 3 ): 172 - 176, 181 .

WANG W , SUN B N , LIU B , et al . Industrial Chain Network Collaboration Based on Interconnection of Geographically Distributed Factories [J ] . Journal of Machine Design and Research , 2021 , 37 ( 03 ): 172 - 176, 181 .

吕文晶 , 陈劲 , 刘进 . 工业互联网的智能制造模式与企业平台建设——基于海尔集团的案例研究 [J ] . 中国软科学 , 2019 ( 07 ): 1 - 13 .

LV W , CHEN J , LIU J . Intelligent Manufacturing and Firm-Level Platform Building in Industrial Internet: A Case Study of Haier [J ] . China Soft Science , 2019 ( 07 ): 1 - 13 .

柳春锋 , 李峥 , 王居凤 . 分布式工厂中微型制造单元多目标优化 [J ] . 计算机应用 , 2023 , 43 ( 12 ): 3824 - 3832 .

LIU C F , LI Z , WANG J F . Multi-objective optimization of minicells in distributed factories [J ] . Journal of Computer Applications , 2023 , 43 ( 12 ): 3824 - 3832 .

谢润彬 , 康国胜 , 刘建勋 , 等 . 工业互联网环境下位置感知的生产要素资源服务组合优化 [J ] . 计算机集成制造系统 , 2024 , 30 ( 8 ): 2923 - 2935 .

XIE R B , KANG G S , LIU J X , et al . Location aware service composition optimization for production factor resource under industrial Internet [J ] . Computer Integrated Manufacturing Systems , 2024 , 30 ( 08 ): 2923 - 2935 .

SANG Y , TAN J . Intelligent factory many-objective distributed flexible job shop collaborative scheduling method [J ] . Computers &amp ; Industrial Engineering, 2022 , 164 : 107884 .

GUO D , ZHONG R Y , RONG Y , et al . Synchronization of Shop-Floor Logistics and Manufacturing Under IIoT and Digital Twin-Enabled Graduation Intelligent Manufacturing System [J ] . IEEE Transactions on Cybernetics , 2023 , 53 ( 3 ): 2005 - 2016 .

LIU Q , LENG J , YAN D , et al . Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system [J ] . Journal of Manufacturing Systems , 2021 , 58 : 52 - 64 .

MORGAN J , HALTON M , QIAO Y , et al . Industry 4.0 smart reconfigurable manufacturing machines [J ] . Journal of Manufacturing Systems , 2021 , 59 : 481 - 506 .

LU Y , XU X , WANG L . Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios [J ] . Journal of Manufacturing Systems , 2020 , 56 : 312 - 325 .

LI M , FU Y , CHEN Q , et al . Blockchain-enabled digital twin collaboration platform for heterogeneous socialized manufacturing resource management [J ] . International Journal of Production Research , 2023 , 61 ( 12 ): 3963 - 3983 .

YANG S , WANG J , LI W , et al . Integrated optimisation of dynamic scheduling and reconfiguration for distributed reconfigurable flowshops via iterated greedy algorithm [J ] . International Journal of Systems Science: Operations & Logistics , 2025 , 12 ( 1 ): 2467782 .

YANG M , JIANG P . Socialized and self-organized collaborative designer community-resilience modeling and assessment [J ] . Research in Engineering Design , 2019 , 31 ( 1 ): 3 - 24 .

ZHANG Y , ZHANG D , WANG Z , et al . An optimal configuration method of multi-level manufacturing resources based on community evolution for social manufacturing [J ] . Robotics and Computer-Integrated Manufacturing , 2020 , 65 : 101964 .

CAO W , JIANG P , JIANG K . Demand-based manufacturing service capability estimation of a manufacturing system in a social manufacturing environment [J ] . Proceedings of the Institution of Mechanical Engineers , Part B: Journal of Engineering Manufacture, 2015 , 231 ( 7 ): 1275 - 1297 .

XUE X , WANG S , ZHANG L , et al . Evaluating of dynamic service matching strategy for social manufacturing in cloud environment [J ] . Future Generation Computer Systems , 2019 , 91 : 311 - 326 .

ZHANG Z , QU T , ZHANG K , et al . Digital twin‐based production logistics resource optimisation configuration method in smart cloud manufacturing environment [J ] . IET Collaborative Intelligent Manufacturing , 2024 , 6 ( 4 ): e12118 .

王凌 , 李瑞 , 陈靖方 . 面向人机协同能效车间调度的群智能优化算法 [J ] . 中国科学:技术科学 , 2024 , 54 ( 09 ): 1676 - 92 .

WANG L , LI R , CHEN J . A swarm intelligence optimization algorithm for human-robot collaborative energy-efficient shop scheduling [J ] . SCIENTIA SINICA Technologica , 2024 , 54 ( 09 ): 1676 - 1692 .

YANG C , WANG Y , LAN S , et al . Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization [J ] . Robotics and Computer-Integrated Manufacturing , 2022 , 77 : 102351 .

LIU X , JIANG Y , WANG Z , et al . imseStudio: blockchain-enabled secure digital twin platform for service manufacturing [J ] . International Journal of Production Research , 2023 , 61 ( 12 ): 3984 - 4003 .

LI M , LI Z , HUANG X , et al . Blockchain-based digital twin sharing platform for reconfigurable socialized manufacturing resource integration [J ] . International Journal of Production Economics , 2021 , 240 : 108223 .

WANG S , GUO Y , HUANG S , et al . A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop [J ] . Journal of Manufacturing Systems , 2025 , 79 : 301 - 317 .

ZHOU Y , ZHOU G , ZHANG C , et al . Multi-level modeling and robustness evaluation of disturbances in intelligent workshop with temporal snapshot network [J ] . Journal of Manufacturing Systems , 2023 , 71 : 20 - 33 .

汤洪涛 , 费永辉 , 陈青丰 , 等 . 基于工业大数据的柔性作业车间动态调度 [J ] . 计算机集成制造系统 , 2020 , 26 ( 9 ): 2497 .

TANG H , FEI Y , CHEN Q , et al . Flexible job shop dynamic scheduling based on industrial big data [J ] . Computer Integrated Manufacturing Systems , 2020 , 26 ( 9 ): 2497 .

ZHANG K , QU T , ZHANG Y , et al . Big data-enabled intelligent synchronisation for the complex production logistics system under the opti-state control strategy [J ] . International Journal of Production Research , 2022 , 60 ( 13 ): 4159 - 4175 .

LI M , QU T , LIU B , et al . Out-of-Order Architecture for Real-Time Data-Driven Resilient Planning and Scheduling of Cyber-Physical Manufacturing Systems [J ] . IEEE Transactions on Automation Science and Engineering , 2025 .

QIAO F , LIU J , MA Y . Industrial big-data-driven and CPS-based adaptive production scheduling for smart manufacturing [J ] . International Journal of Production Research , 2021 , 59 ( 23 ): 7139 - 7159 .

张映锋 , 郭振刚 , 钱成 , 等 . 基于过程感知的底层制造资源智能化建模及其自适应协同优化方法研究 [J ] . 机械工程学报 , 2018 , 54 ( 16 ): 1 - 10 .

ZHANG Y , GUO Z , QIAN C , et al . Investigation on Process-aware Based Intelligent Modeling of Bottom Layer Manufacturing Resources and Self-adaptive Collaborative Optimization Methodology [J ] . Journal of Mechanical Engineering , 2018 , 54 ( 16 ): 1 - 10 .

LIN Z , LIU Z , YAN J , et al . Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop [J ] . International Journal of Production Research , 2024 : 1 - 29 .

NIE Z , CHEN K , KIM K J . Social-Learning Coordination of Collaborative Multi-Robot Systems Achieves Resilient Production in a Smart Factory [J ] . IEEE Transactions on Automation Science and Engineering , 2024 .

LUO X , PAN C , LIU Z , et al . A novel multi-agent reinforcement learning framework for robust exception handling of manufacturing service collaboration based on asymmetric information [J ] . Journal of Manufacturing Systems , 2025 , 79 : 364 - 382 .

LEI J , HUI J , CHANG F , et al . Reinforcement learning-based dynamic production-logistics-integrated tasks allocation in smart factories [J ] . International Journal of Production Research , 2023 , 61 ( 13 ): 4419 - 4436 .

KIM Y G , LEE S , SON J , et al . Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system [J ] . Journal of Manufacturing Systems , 2020 , 57 : 440 - 450 .

刘志峰 , 陈伟 , 杨聪彬 , 等 . 基于数字孪生的零件智能制造车间调度云平台 [J ] . 计算机集成制造系统 , 2019 , 25(第 6): 1444.

LIU Z , CHEN W , YANG C , et al . Intelligent manufacturing workshop dispatching cloud platform based on digital twins [J ] . Computer Integrated Manufacturing Systems , 2019 , 25 ( 6 ): 1444 .

PAN Y , ZHONG R , QU T , et al . Multi-level digital twin-driven kitting-synchronized optimization for production logistics system [J ] . International Journal of Production Economics , 2024 , 271 : 109176 .

ZHANG Z , QU T , HUANG G , et al . Towards a trusted synchronized decision-making method for social production logistics systems based on blockchain and digital twin [J ] . Robotics and Computer-Integrated Manufacturing , 2025 , 94 : 102965 .

FENG Q , HAI X , LIU M , et al . Time-based resilience metric for smart manufacturing systems and optimization method with dual-strategy recovery [J ] . Journal of Manufacturing Systems , 2022 , 65 : 486 - 497 .

朱赟海 , 罗陆锋 , 卢清华 , 等 . 面向订单扰动的柔性作业车间动态调度方法 [J ] . 计算机集成制造系统 , 2025 , 31 ( 3 ): 984 .

ZHU Y , LUO L , LU Q , et al . Flexible job shop dynamic scheduling method for order disturbance [J ] . Computer Integrated Manufacturing Systems , 2025 , 31 ( 3 ): 984 .

WANG L , LUO Z , TANG H , et al . A novel model for dynamic manufacturing service collaboration on industrial internet [J ] . IEEE Transactions on Industrial Informatics , 2023 , 19 ( 12 ): 11788 - 11799 .

ZHANG Z , QU T , ZHAO K , et al . Optimization model and strategy for dynamic material distribution scheduling based on digital twin: a step towards sustainable manufacturing [J ] . Sustainability , 2023 , 15 ( 23 ): 16539 .

吕岩 , 徐正军 , 李聪波 , 等 . 考虑扰动事件的机械加工工艺参数与车间动态调度综合节能优化 [J ] . 机械工程学报 , 2022 , 58 ( 19 ): 242 - 55 .

LV Y , XU Z , LI C , et al . Comprehensive Energy Saving Optimization of Processing Parameters and Job Shop Dynamic Scheduling Considering Disturbance Events [J ] . Journal of Mechanical Engineering , 2022 , 58 ( 19 ): 242 - 255 .

ZHAO Z , XIE X , CHEN Q , et al . Graduation-inspired manufacturing system and synchronization mechanism for hybrid assembly cell lines [J ] . Computers & Industrial Engineering , 2024 , 198 : 110648 .

YANG C , LIAO F , LAN S , et al . Flexible resource scheduling for software-defined cloud manufacturing with edge computing [J ] . Engineering , 2023 , 22 : 60 - 70 .

阴艳超 , 梁珉清 , 张万达 , 等 . 基于云边协同的智能数控车间自调控系统研究与实现 [J ] . 计算机集成制造系统 , 2025 , 31 ( 3 ): 828 .

YIN Y , LIANG M , ZHANG W , et al . Research and implementation of intelligent NC workshop self-regulation system based on cloud-edge collaboration [J ] . Computer Integrated Manufacturing Systems , 2025 , 31 ( 3 ): 828 .

KUSIAK A . Manufacturing metaverse [J ] . Journal of intelligent manufacturing , 2023 , 34 ( 6 ): 2511 - 2512 .

YANG J , WANG Y , WANG X , et al . Generative AI empowering parallel manufacturing: Building a “6S” collaborative production ecology for manufacturing 5.0 [J ] . IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2024 , 54 ( 11 ): 6522 - 6536 .

HUANG S , WANG B , LI X , et al . Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution [J ] . Journal of manufacturing systems , 2022 , 64 : 424 - 428 .

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