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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Toyota production system: beyond large-scale production
Ohno, T., & Rosen, C. B. (1998) · CERN Document Server (European Organization for Nuclear Research) · Cited by 4,522
Cyber Physical Systems: Design Challenges
Lee, E. A. (2008) · 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2008.25 · Cited by 3,525
Reference architecture for holonic manufacturing systems: PROSA
Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., & Peeters, P. (1998) · Computers in Industry · doi:10.1016/s0166-3615(98)00102-x · Cited by 1,417
SUGIMORI, Y., KUSUNOKI, K., CHO, F., & UCHIKAWA, S. (1977) · International Journal of Production Research · doi:10.1080/00207547708943149 · Cited by 1,327
Lean Automation enabled by Industry 4.0 Technologies
Kolberg, D., & Zühlke, D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.359 · Cited by 699
Self-citationIndustrie 4.0 in Produktion, Automatisierung und Logistik: Anwendung · Technologien · Migration
(2014) · Springer eBooks · doi:10.1007/978-3-658-04682-8 · Cited by 679
SmartFactory—Towards a factory-of-things
Zuehlke, D. (2010) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2010.02.008 · Cited by 645
Lean production: literature review and trends
Jasti, N. V. K., & Kodali, R. (2015) · International Journal of Production Research · doi:10.1080/00207543.2014.937508 · Cited by 485
Variations of the kanban system: Literature review and classification
Lage Junior, M., & Godinho Filho, M. (2010) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.01.009 · Cited by 388
An event-driven manufacturing information system architecture for Industry 4.0
Theorin, A., Bengtsson, K., Provost, J., Lieder, M., Johnsson, C., Lundholm, T., & Lennartson, B. (2017) · International Journal of Production Research · doi:10.1080/00207543.2016.1201604 · Cited by 348
Cited by
Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0
Müller, J. M., Buliga, O., & Voigt, K.-I. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.019 · Cited by 1,262
Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs
Zambon, I., Cecchini, M., Egidi, G., Saporito, M. G., & Colantoni, A. (2019) · Processes · doi:10.3390/pr7010036 · Cited by 426
Organizational and managerial challenges in the path toward Industry 4.0
Agostini, L., & Filippini, R. (2019) · European Journal of Innovation Management · doi:10.1108/ejim-02-2018-0030 · Cited by 276
Antony, J., Psomas, E., Garza-Reyes, J. A., & Hines, P. (2021) · Production Planning & Control · doi:10.1080/09537287.2020.1776410 · Cited by 116
“Categories of themes Themes of future research suggestions Supporting references Sectors, manufacturing sub-sectors and organisation units Aamer 2018; Abdallah, Dahiyat, and Matsui 2019; Abreu-Ledon et al. 2018; Abu et al. 2019; Agrawal, Asokan, and Vinodh 2017; Alaskari, Ahmad, and Pinedo-Cuenca 2016; Al-Najem et al.…”
BackgroundInfluentialResearch gaps in Lean manufacturing: a systematic literature review
Psomas, E., & Antony, J. (2019) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-12-2017-0260 · Cited by 93
Metadata
- Authors
- Kolberg, D., Knobloch, J., & Zühlke, D.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Towards a lean automation interface for workstations. https://app.cochat.ai/papers/10.1080/00207543.2016.1223384
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.