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

LI Mingxing; ZHANG Kai; SU Yifen; QU Ting; ZHONG Runyang; HUANG Guoquan

doi:10.7652/xjtuxb202512003

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

Special Topic Industrial Internet and Manufacturing Services | 更新时间：2025-12-08

- Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems：Research Progress and Prospects
- Journal of Xi'an Jiaotong University Vol. 59, Issue 12, Pages: 21-43(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202512003
  CLC： TH166
- Received：28 May 2025，
  
  Published：10 December 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]. Journal of Xi'an Jiaotong University, 2025, 59(12): 21-43.
DOI：

LI Mingxing, ZHANG Kai, SU Yifen, et al. Synchronization Architectures and Methods for Distributed Flexible Smart Manufacturing Systems：Research Progress and Prospects[J]. Journal of Xi'an Jiaotong University, 2025, 59(12): 21-43. DOI： 10.7652/xjtuxb202512003.

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情况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，该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。从信息架构、资源架构、管控架构3个层面梳理了面向制造系统联动的架构体系；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；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3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；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了新的思路。

Abstract

In the context of the industrial internet

distributed flexible smart manufacturing systems（DFSMS）formed by geographically dispersed cross-enterprise intelligent manufacturing units driven by customer orders are facing a common scientific challenge in the dynamic coordinative management and control among heterogeneous manufacturing units under concurrent external stochastic demands and internal multi-source disturbances.Extensive and in-depth research has been done

focusing on intelligent system integration

self-organizing structural optimization

and adaptive operational control.This paper systematically reviews and summarizes recent advancements in synchronization architecture and methodology research for Industry 4.0 DFSMS

including：summarization of synchronization architectures for manufacturing systems from the perspectives of informational

resource-oriented

and management architectures；analysis of current research on configuration methods for distributed flexible smart manufacturing systems

encompassing cross-entity multilevel structural optimization

system reconfiguration under the impact of uncertainties

and resource/structural capability assessment；review of current research on synchronized operations management and control methods for distributed flexible smart manufacturing systems from the aspects of multi-process and multi-unit coordination

system state perception and disturbance analysis

and adaptive decision-making under multi-source disturbances；discussions about future directions for extended theoretical

architectural

and methodological research to advance synchronization control of industrial internet-based DFSMS.This comprehensive review offers new paradigms and critical insights for intelligent manufacturing system science and collaborative management.

关键词

Keywords

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