Lean manufacturing and industry 4.0 combinative application: Practices and perceived benefits

Marina Marinelli*, Abrar Ali Deshmukh, Mukund Janardhanan, Izabela Nielsen

*Kontaktforfatter

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

18 Citationer (Scopus)
289 Downloads (Pure)

Abstract

This paper investigates the industry practices regarding the combinative use of Industry 4.0 and lean tools in the manufacturing sector. Following review of the literature, a questionnaire survey was distributed among manufacturing professionals in organizations which have already adopted Industry 4.0 technology and lean manufacturing, with the aim to highlight the popular combinations of tools as seen in manufacturing practice and capture the perceived level of their contribution to operational performance. The survey results show that Real time data, IoT for data exchange, big data analytics, Cyber -Physical Systems (CPS), predictive algorithms and robots are among the most popular I4.0 applications used to support lean attributes like continuous flow, Kanban, standardised work, TPM and continuous improvement. It also emerges that although the beneficial impact of lean production across the respondents' organizations is widely accepted, the perceived impact of Industry 4.0 tools is not as clear.

OriginalsprogEngelsk
BogserieIFAC-PapersOnLine
Vol/bind54
Udgave nummer1
Sider (fra-til)288-293
Antal sider6
ISSN2405-8963
DOI
StatusUdgivet - 2021
Begivenhed17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021 - Budapest, Ungarn
Varighed: 7 jun. 20219 jun. 2021

Konference

Konference17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021
Land/OmrådeUngarn
ByBudapest
Periode07/06/202109/06/2021

Bibliografisk note

Publisher Copyright:
© 2021 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

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