Adopting Industry 4.0 technologies through lean tools: evidence from the European Manufacturing Survey

IF 3.8 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Sergio Palacios-Gazules, G. Giménez, Rudi De Castro
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Abstract

Purpose In recent years, the emergence of Industry 4.0 technologies as a way of increasing productivity has attracted the attention of the manufacturing industry. This study aims to investigate the relationship between Industry 4.0 technologies and lean tools (LTs) by measuring how the internalisation of LTs influences the adoption of Industry 4.0 technologies and how the synergy between them helps improve productivity in European manufacturing firms. Design/methodology/approach Results from 1,298 responses were used to analyse linear regression and study the correlation between the use of LTs and Industry 4.0 technologies. Findings Results show that the companies analysed tend to implement more Industry 4.0 technologies when their level of lean internalisation is high. Originality/value This study provides useful information for managers of manufacturing firms by showing the correlation between LT internalisation and Industry 4.0 technologies, corroborating that optimal implementation of these technologies is preceded by a high level of LT internalisation. Furthermore, although there are studies showing the relationship between LTs and Industry 4.0 technologies, none consider the intensity of their implementation.
通过精益工具采用工业 4.0 技术:来自欧洲制造业调查的证据
目的 近年来,工业 4.0 技术作为一种提高生产率的方法备受制造业关注。本研究旨在调查工业 4.0 技术与精益工具(LTs)之间的关系,衡量 LTs 的内部化如何影响工业 4.0 技术的采用,以及它们之间的协同作用如何帮助欧洲制造业企业提高生产率。原创性/价值本研究通过显示低温试验内部化与工业 4.0 技术之间的相关性,为制造企业的管理者提供了有用的信息,证实了低温试验内部化水平高时,这些技术才能得到最佳实施。此外,尽管有研究显示了低温试验与工业 4.0 技术之间的关系,但没有一项研究考虑了这些技术的实施强度。
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来源期刊
International Journal of Lean Six Sigma
International Journal of Lean Six Sigma Engineering-Industrial and Manufacturing Engineering
CiteScore
8.90
自引率
15.00%
发文量
46
期刊介绍: Launched in 2010, International Journal of Lean Six Sigma publishes original, empirical and review papers, case studies and theoretical frameworks or models related to Lean and Six Sigma methodologies. High quality submissions are sought from academics, researchers, practitioners and leading management consultants from around the world. Research, case studies and examples can be cited from manufacturing, service and public sectors. This includes manufacturing, health, financial services, local government, education, professional services, IT Services, transport, etc.
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