The DOI matches its Crossref record.
Assessing changes towards lean production
Abstract
Develops a model which operationalizes the different principles in lean production, with a focus on those that concern the work organization in the manufacturing part of a company. The model has been developed using available theory and has also been tried out in a clinical field study. The model has implications both for research and practice. For research, it can be used as a model for operationalizing lean production to be able to study change processes properly. In practice, the model can be used as a tool to assess the development taking place in an effort to become lean. Finally, it can be used as a checklist for what to aim at when trying to implement lean production. Lean should be seen as a direction, rather than as a state to be reached after a certain time and, therefore, the focus lies on the changes in the determinants, not on their actual values.
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
Cited by
Lean manufacturing: literature review and research issues
Bhamu, J., & Singh Sangwan, K. (2014) · International Journal of Operations & Production Management · doi:10.1108/ijopm-08-2012-0315 · Cited by 983
Successful lean implementation: Organizational culture and soft lean practices
Bortolotti, T., Boscari, S., & Danese, P. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.10.013 · Cited by 678
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
Lean practices and their effect on performance: a literature review
Negrão, L. L. L., Godinho Filho, M., & Marodin, G. (2016) · Production Planning & Control · doi:10.1080/09537287.2016.1231853 · Cited by 243
A literature review of lean manufacturing
Gupta, S., & Jain, S. K. (2013) · International Journal of Management Science and Engineering Management · doi:10.1080/17509653.2013.825074 · Cited by 228
Metadata
- Authors
- Karlsson, C., & Åhlström, P.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 1996-02-01
- Volume
- 16
- Issue
- 2
- Pages
- 24-41
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W2026467336
- Cited by
- 621
- References
- 0
- FWCI
- 5.76
- 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: Assessing changes towards lean production. https://app.cochat.ai/papers/10.1108/01443579610109820
- The paper
- Karlsson, C., & Åhlström, P. (1996). Assessing changes towards lean production. International Journal of Operations & Production Management. https://doi.org/10.1108/01443579610109820
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.