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Cited by 266

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Towards a lean automation interface for workstations

Kolberg, Dennis, Knobloch, Joshua, Zühlke, Detlef·2017·International Journal of Production Research

Abstract

Methods and principles of Lean Production have become the major concepts to create highly efficient processes since the early 1990s. Due to its high effectiveness by reducing complexity and focusing on value-adding tasks, the Lean concept is still successful. Nevertheless, its changeability to produce highly customised products is limited. Industry 4.0 describes the vision of a smart production which can meet these future market requirements. Enablers are innovative information and communication technologies and the integration of all production entities into a common digital network. Lean Automation is the application of Industry 4.0 technologies to Lean Production methods in order to combine benefits from both domains. First proprietary Lean Automation solutions exist, but to enhance changeability in production, a common, unified communication interface is required. This paper presents the ongoing work towards an interface for digitising Lean Production methods using Cyber Physical Systems.

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Crossref · 10.1080/00207543.2016.1223384

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Metadata

Authors
Kolberg, D., Knobloch, J., & Zühlke, D.
Venue
International Journal of Production Research
Published
2016-08-22
Volume
55
Issue
10
Pages
2845-2856
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
OpenAlex
W2509189416
Cited by
266
References
25
FWCI
23.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Towards a lean automation interface for workstations. https://app.cochat.ai/papers/10.1080/00207543.2016.1223384
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Kolberg, D., Knobloch, J., & Zühlke, D. (2017). Towards a lean automation interface for workstations. International Journal of Production Research. https://doi.org/10.1080/00207543.2016.1223384

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.