工业工程 ›› 2024, Vol. 27 ›› Issue (2): 158-172.doi: 10.3969/j.issn.1007-7375.230153

• 前沿技术应用探索 • 上一篇    

制造企业数字孪生的数字化衍生机制与成熟度研究

王峰1,2, 盖永杰1, 张海涛2   

  1. 1. 海南师范大学 经济与管理学院,海南 海口 571158;
    2. 吉林大学 大数据管理研究中心,吉林 长春 130021
  • 收稿日期:2023-08-14 出版日期:2024-04-30 发布日期:2024-04-29
  • 作者简介:王峰(1972-),男,山东省人,教授,博士,主要研究方向为智能制造、数字孪生、大数据、工业信息化、企业ERP、数字化转型。
  • 基金资助:
    国家社会科学基金资助项目 (No.21BTQ058);长沙汽车创新研究院创新项目 (CAIRIZT20220109)

A Study on Digital Derivation Mechanisms and Maturity of Digital Twins in Manufacturing Firms

WANG Feng1,2, GAI Yongjie1, ZHANG Haitao2   

  1. 1. School of Economics and Management, Hainan Normal University, Haikou 571158, China;
    2. Big Data Management Research Center, Jilin University, Changchun 130021, China
  • Received:2023-08-14 Online:2024-04-30 Published:2024-04-29

摘要: 本研究探索了制造企业数字孪生“产力、算力、数力”基础管理架构 (构成、内涵、组成要素、职能等),剖析了基于数字孪生4.0价值链内生的一体化流程框架和大数据函数DT模型。4.0价值链具备价值传导、迭代功能机制,赋能制造企业数字化供应链、产业链衍生拓展,制造企业通过DT产生大数据,基于此形成数字化产业链 (4.0价值链、数字化供应链、移动增值服务MvaS链、需求链、空间平台链)。通过对制造企业数字孪生衍生机制分析,创新性探索出数字化成长路径 (数字孪生→4.0价值链→供应链→数字化产业链→数字经济),并综合性地设计与凝练出制造企业5级数字孪生成熟度模型和算法。数字孪生重塑数字化管理理论范式,夯实数字时代基座 (智能制造、数字工厂、数字企业、数字化产业链、数字经济等),对数字经济发展产生深远影响,具有重要研究和应用价值。

关键词: 数字孪生, 4.0价值链, 供应链, 数字化产业链, 成熟度

Abstract: This study explores the basic management architecture (composition, connotation, components, functions, etc.) of digital twins regarding "production power, computational power, digital power" in manufacturing enterprises, and analyzes the integrated process framework and big data function model based on the endogenous 4.0 value chain of digital twins. The 4.0 value chain has a value transfer and iteration mechanisms, which empowers manufacturing enterprises to digitize their supply chains and expand the industrial chain derivation. Manufacturing enterprises generate big data through digital twins, where a digital industrial chain is formed (4.0 value chains, digitized supply chains, mobile value-added service MvaS chains, demand chains, and spatial platform chains). This study innovatively analyzes a digital growth path (digital twins →4.0 value chains → supply chains → digital industry chains → digital economy) through the digital twin derivation mechanism of manufacturing enterprises. Also, a five-level digital twin maturity model and an evaluation algorithm for manufacturing companies is comprehensively designed and condensed. Digital twins reshape the theory paradigm of digital management, and tamp the digital era foundation (smart manufacturing, digital factories, digital enterprises, digital industry chains, digital economy, etc.), having a far-reaching impact on the development of the digital economy, with important research and application value.

Key words: digital twin, 4.0 value chains, supply chains, digital industry chains, maturity

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