面向中小企业协同的3C产品制造网络韧性评估及设计方法

doi:10.3901/JME.260440

机械工程学报 ›› 2026, Vol. 62 ›› Issue (11): 162-170.doi: 10.3901/JME.260440

• 特邀专栏：制造互联与工业智能 • 上一篇

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面向中小企业协同的3C产品制造网络韧性评估及设计方法

张定¹, 林泽雄¹, 刘屿², 李醒³, 计晓军⁴, 赖培源⁵

1. 广东工业大学省部共建精密电子制造国家重点实验室广州 510016;
2. 华南理工大学自动化科学与工程学院广州 510641;
3. 东莞理工学院电信工程与智能化学院东莞 523808;
4. 金蝶软件(中国)有限公司深圳 518057;
5. 广东省华南技术转移中心有限公司广州 511458

收稿日期:2025-07-01 修回日期:2026-01-10 发布日期:2026-07-29
作者简介:张定(通信作者),男,1988年出生,博士,副教授,硕士研究生导师。主要研究方向为制造系统建模、性能评估与优化。E-mail:zhangding@gdut.edu.cn;刘屿,男,1977年出生,博士,教授,博士研究生导师。主要研究方向为分布参数系统控制、智能控制。E-mail:auylau@scut.edu.cn
基金资助:
国家重点研发计划(2024YFB3312400)、国家自然科学基金(72271067)和广州市自然科学基金(SL2023A04J01597)资助项目。

Resilience Assessment and Design Method of 3C Product Manufacturing Networks for SME Collaboration

ZHANG Ding¹, LIN Zexiong¹, LIU Yu², LI Xing³, JI Xiaojun⁴, LAI Peiyuan⁵

1. National Key Laboratory of Precision Electronic Manufacturing, Guangdong University of Technology, Guangzhou 510016;
2. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641;
3. School of Telecommunication Engineering and Intelligence, Dongguan University of Technology, Dongguan 523808;
4. Kingdee Software (China) Co., Ltd., Shenzhen 518057;
5. South China Technology Commercialization Center, Guangzhou 511458

Received:2025-07-01 Revised:2026-01-10 Published:2026-07-29

摘要/Abstract

摘要： 3C产品升级换代极快，且外界科技技术制裁、关税等政策干扰事件频发，均导致其制造网络系统变动性陡增，制造韧性刻画了系统抵抗异常事件的能力，近年来获得越来越多的关注。以产品制造网络系统的韧性建模、韧性评估及设计为路线，在离散事件动态系统分析框架下，提出一种基于极大加代数算子操作的制造网络状态空间表征方法，对含有齐套性约束的制造网络系统进行了动态建模；以扰动事件的产能损失作为衡量标准，构建了系统韧性的量化方式，进而以韧性为目标之一，兼顾制造效率与配置成本，利用遗传算法实现了制造网络系统的配置设计。所提理论与方法在手机制造案例中获得应用与验证。该方法可为区域性中小企业集群配置制造网络系统提供理论指导和技术支持。

关键词: 协同制造, 制造网络韧性, 动态建模, 韧性评估, 极大加代数, 配置设计

Abstract: The rapid iteration of 3C products, coupled with frequent disruptions from technological sanctions and tariff policies, has significantly increased the variability of manufacturing network systems. Manufacturing resilience, which reflects a system’s ability to withstand abnormal disruptive events, has garnered growing attention in recent years. Following a path of resilience modeling, evaluation, and design for product manufacturing networks, a state-space representation method based on max-plus algebra is proposed within the framework of discrete event dynamic systems. This approach enables dynamic modeling of manufacturing networks with material kitting constraints. System resilience is quantified based on capacity losses caused by disruptive events. Considering resilience as one of the objectives, along with manufacturing efficiency and configuration cost, a genetic algorithm is employed to optimize the configuration of the manufacturing network. The proposed theory and method are applied and validated in a smartphone manufacturing case. This approach could provide theoretical guidance and technical support for configuring manufacturing networks in regional small and medium-sized enterprise clusters.

Key words: collaborative manufacturing, manufacturing network resilience, dynamic modeling, resilience evaluation, max-plus algebra, configuration design

中图分类号:

TG156

张定, 林泽雄, 刘屿, 李醒, 计晓军, 赖培源. 面向中小企业协同的3C产品制造网络韧性评估及设计方法[J]. 机械工程学报, 2026, 62(11): 162-170.

ZHANG Ding, LIN Zexiong, LIU Yu, LI Xing, JI Xiaojun, LAI Peiyuan. Resilience Assessment and Design Method of 3C Product Manufacturing Networks for SME Collaboration[J]. Journal of Mechanical Engineering, 2026, 62(11): 162-170.

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http://www.cjmenet.com.cn/CN/Y2026/V62/I11/162

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面向中小企业协同的3C产品制造网络韧性评估及设计方法

Resilience Assessment and Design Method of 3C Product Manufacturing Networks for SME Collaboration

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