Cited by 938Digital Transformation in IndustryQuality and Supply ManagementImpact of AI and Big Data on Business and Society

Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing

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Sanders, Adam, Elangeswaran, Chola, Wulfsberg, Jens·2016·Journal of Industrial Engineering and Management

Abstract

Purpose: Lean Manufacturing is widely regarded as a potential methodology to improve productivity and decrease costs in manufacturing organisations. The success of lean manufacturing demands consistent and conscious efforts from the organisation, and has to overcome several hindrances. Industry 4.0 makes a factory smart by applying advanced information and communication systems and future-oriented technologies. This paper analyses the incompletely perceived link between Industry 4.0 and lean manufacturing, and investigates whether Industry 4.0 is capable of implementing lean. Executing Industry 4.0 is a cost-intensive operation, and is met with reluctance from several manufacturers. This research also provides an important insight into manufacturers’ dilemma as to whether they can commit into Industry 4.0, considering the investment required and unperceived benefits.Design/methodology/approach: Lean manufacturing is first defined and different dimensions of lean are presented. Then Industry 4.0 is defined followed by representing its current status in Germany. The barriers for implementation of lean are analysed from the perspective of integration of resources. Literatures associated with Industry 4.0 are studied and suitable solution principles are identified to solve the abovementioned barriers of implementing lean.Findings: It is identified that researches and publications in the field of Industry 4.0 held answers to overcome the barriers of implementation of lean manufacturing. These potential solution principles prove the hypothesis that Industry 4.0 is indeed capable of implementing lean. It uncovers the fact that committing into Industry 4.0 makes a factory lean besides being smart.Originality/value: Individual researches have been done in various technologies allied with Industry 4.0, but the potential to execute lean manufacturing was not completely perceived. This paper bridges the gap between these two realms, and identifies exactly which aspects of Industry 4.0 contribute towards respective dimensions of lean manufacturing.

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Crossref · 10.3926/jiem.1940

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Authors
Sanders, A., Elangeswaran, C., & Wulfsberg, J.
Affiliations
Helmut Schmidt University (DE)
Venue
Journal of Industrial Engineering and Management
Published
2016-09-21
Volume
9
Issue
3
Pages
811
ISSN
  • 2013-0953 (ISSN-L)
  • 2013-8423
OpenAlex
W2521331386
Cited by
938
References
0
Citations by year
2026: 37 · 2025: 45 · 2024: 94 · 2023: 142 · 2022: 150 · 2021: 153 · 2020: 152 · 2019: 100 · 2018: 45 · 2017: 17 · 2016: 1 · 2013: 1
FWCI
73.80
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Journal of Industrial Engineering and Management (publishedVersion, cc-by-nc)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (acceptedVersion, cc-by-nc)
  • Lirias (KU Leuven) (submittedVersion, cc-by-nc)
  • OpenHSU (submittedVersion, cc-by-nc)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Econstor (Econstor) (submittedVersion, cc-by-nc)
  • RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya) (submittedVersion)
  • UPCommons institutional repository (Universitat Politècnica de Catalunya) (submittedVersion, cc-by-nc)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
Industry 4.0, lean manufacturing, lean implementation barriers, smart factory, information and communication technologies, research activities, resource integration, manufacturing productivity, cost reduction

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