The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Measuring supply chain performance
Abstract
The process of choosing appropriate supply chain performance measures is difficult due to the complexity of these systems. The paper presents an overview and evaluation of the performance measures used in supply chain models and also presents a framework for the selection of performance measurement systems for manufacturing supply chains. Three types of performance measures are identified as necessary components in any supply chain performance measurement system, and new flexibility measures for supply chains are developed.
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
Performance measurement system design: A literature review and research agenda
Neely, A., Gregory, M., & Platts, K. (1995) · International Journal of Operations & Production Management · doi:10.1108/01443579510083622 · Cited by 3,259
Cited by
The impact of supply chain integration on performance: A contingency and configuration approach
Flynn, B. B., Huo, B., & Zhao, X. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.06.001 · Cited by 3,310
Cloud computing in manufacturing: The next industrial revolution in Malaysia?
Ooi, K.-B., Lee, V.-H., Tan, G. W.-H., Hew, T.-S., & Hew, J.-J. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.10.009 · Cited by 341
A framework for analysing supply chain performance evaluation models
Estampe, D., Lamouri, S., Paris, J.-L., & Brahim-Djelloul, S. (2013) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.11.024 · Cited by 323
Srinivasan, M., Mukherjee, D., & Gaur, A. S. (2011) · European Management Journal · doi:10.1016/j.emj.2011.02.004 · Cited by 294
Digitalizing procurement: The impact of data analytics on supply chain performance
Hallikas, J., Immonen, M., & Brax, S. (2021) · Supply Chain Management: An International Journal · doi:10.1108/scm-05-2020-0201 · Cited by 218
Metadata
- Authors
- Beamon, B. M.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 1999-03-01
- Volume
- 19
- Issue
- 3
- Pages
- 275-292
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W2093111169
- Cited by
- 2,326
- References
- 1
- FWCI
- 21.46
- 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: Measuring supply chain performance. https://app.cochat.ai/papers/10.1108/01443579910249714
- The paper
- Beamon, B. M. (1999). Measuring supply chain performance. International Journal of Operations & Production Management. https://doi.org/10.1108/01443579910249714
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.
