• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (13): 1-19.doi: 10.3901/JME.2025.13.001

• 特邀专栏:价值链协同赋能的复杂制造系统:趋势、技术与挑战 • 上一篇    下一篇

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价值链协同中的数据机理融合研究综述与展望

卢成宇1, 洪兆溪1,2, 张志峰1, 顾大强1, 聂婕3, 冯毅雄1, 谭建荣1,2   

  1. 1. 浙江大学流体动力基础件与机电系统全国重点实验室 杭州 310027;
    2. 浙江大学宁波科创中心 宁波 315100;
    3. 中国海洋大学信息科学与工程学部 青岛 266000
  • 收稿日期:2024-06-30 修回日期:2024-12-20 出版日期:2025-07-05 发布日期:2025-08-09
  • 作者简介:卢成宇,男,1999年出生,博士研究生。主要研究方向为数据机理融合。E-mail:chengyulu@zju.edu.cn;洪兆溪(通信作者),女,1990年出生,博士,助理研究员。主要研究方向为智能设计与不确定性优化决策。E-mail:hzhx@zju.edu.cn;张志峰,男,1991 年出生,博士研究生。主要研究方向为绿色设计理论与智能调度。E-mail:zhzhfeng@zju.edu.cn;顾大强,男,1963年出生,博士,教授,硕士研究生导师。主要研究方向为机器人技术及研究应用。E-mail:gudq@zju.edu.cn;聂婕,女,1984年出生,博士,教授,硕士研究生导师。主要研究方向为多模态智能计算、人工智能。E-mail:niejie@ouc.edu.cn;冯毅雄,男,1975 年出生,博士,教授,博士研究生导师。主要研究方向为现代产品设计理论与方法。E-mail:fyxtv@zju.edu.cn;谭建荣,男,1954 年出生,博士,教授,博士研究生导师,中国工程院院士。主要研究方向为CAX方法学、工程图学、企业信息化。E-mail:0620486@zju.edu.cn
  • 基金资助:
    浙江省“尖兵”“领雁”攻关计划资助项目(2024C01029, 2024C01207, 2025C01088)。

Review and Prospect of Data Mechanism Fusion in Value Chain Collaboration

LU Chengyu1, HONG Zhaoxi1,2, ZHANG Zhifeng1, GU Daqiang1, NIE Jie3, FENG Yixiong1, TAN Jianrong1,2   

  1. 1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027;
    2. Ningbo Innovation Center, Zhejiang University, Ningbo 315100;
    3. Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266000
  • Received:2024-06-30 Revised:2024-12-20 Online:2025-07-05 Published:2025-08-09

摘要: 价值链协同是工业5.0的重要组成部分,是实现工业5.0中以人为本、可持续、弹性化生产理念的关键。数据和机理作为新一代信息技术与价值链融合的重要技术支撑,已经成为了价值链协同管理中的关键要素。然而,当前价值链协同仍存在数据孤岛和业务壁垒等问题,阻碍了价值链上企业的信息共享和价值共创,成为了当前制造业向工业5.0转型的巨大挑战。为了给数据机理融合在价值链协同的应用提供理论支撑,本文总结了价值链协同理论与数据机理融合方法的研究进展;同时探索了数据机理融合在产品设计协同、生产调度协同、制造装配协同、装备运维协同、生产服务协同等5个部分的工程应用。最后,讨论了数据机理融合在价值链协同中面临的挑战,展望了未来的发展方向。期望相关工作能为相关学者进一步开展价值链协同中的数据机理融合的理论技术研究和工程应用提供参考与启发。

关键词: 价值链, 协同管理, 数据机理融合, 工业5.0

Abstract: Value chain collaboration is an important component of Industry 5.0 and a key to realizing the production concept of human-oriented, sustainable, and flexible in Industry 5.0. Data and mechanism, as important technical supports for the integration of the new generation of information technology and value chain, have become key elements in value chain collaboration management. However, there are still problems such as data silos and business barriers in current value chain collaboration, which hinder information sharing and value co-creation among enterprises on the value chain and become a huge challenge for the current transformation of manufacturing to Industry 5.0. In order to provide theoretical support for the application of data mechanism integration in value chain collaboration, this paper summarizes the research progress of value chain collaboration theory and data mechanism integration method, and explores the engineering application of data mechanism integration in five parts, including product design collaboration, production scheduling collaboration, manufacturing assembly collaboration, equipment operation and maintenance collaboration, and production service collaboration. Finally, the challenges faced by data mechanism integration in value chain collaboration are discussed, and the future development direction is looked into. It is hoped that relevant work can provide reference and inspiration for scholars to further carry out theoretical and technical research and engineering application of data mechanism integration in value chain collaboration.

Key words: value chain, collaborative management, data mechanism fusion, industry 5.0

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