分布式柔性智能制造系统联动管控架构与方法研究进展及展望

李明星; 张凯; 苏意芬; 屈挺; 钟润阳; 黄国全

doi:10.7652/xjtuxb202xxxxxx

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分布式柔性智能制造系统联动管控架构与方法研究进展及展望

更新时间：2025-06-25

- 分布式柔性智能制造系统联动管控架构与方法研究进展及展望
- Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems: Research Progress and Prospects
- 西安交通大学学报 2025年
- 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：
  
  基于数字孪生乱序执行的生产-物流系统同步管控机制与方法(52405548);集中型精准回收再制造体系多阶段多层级优态联动管控方法研究(52305538);业务元空间驱动的分布式联动制造系统(DSMS)超循环优态演进方法(52375498)
- DOI：10.7652/xjtuxb202xxxxxx
  中图分类号： TH166
- 收稿：2025-05-28，
  
  修回：2025-06-20，
  
  录用：2025-06-25，
- 稿件说明：
移动端阅览
李明星, 张凯, 苏意芬, 等. 分布式柔性智能制造系统联动管控架构与方法研究进展及展望[J/OL]. 西安交通大学学报, 2025.

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.
李明星, 张凯, 苏意芬, 等. 分布式柔性智能制造系统联动管控架构与方法研究进展及展望[J/OL]. 西安交通大学学报, 2025. DOI： 10.7652/xjtuxb202xxxxxx.

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

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