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

doi:10.3969/j.issn.1007-7375.230153

Abstract

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

CLC Number:

WANG Feng, GAI Yongjie, ZHANG Haitao. A Study on Digital Derivation Mechanisms and Maturity of Digital Twins in Manufacturing Firms[J]. Industrial Engineering Journal, 2024, 27(2): 158-172.

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