The DOI matches its Crossref record.
Multi‐criteria supplier selection using fuzzy AHP
Abstract
A supplier selection decision inherently is a multi‐criterion problem. It is a decision of strategic importance to companies. The nature of this decision usually is complex and unstructured. Management science techniques might be helpful tools for these kinds of decision‐making problems. The aim of this paper is to use fuzzy analytic hierarchy process (AHP) to select the best supplier firm providing the most satisfaction for the criteria determined. The purchasing managers of a white good manufacturer established in Turkey were interviewed and the most important criteria taken into account by the managers while they were selecting their supplier firms were determined by a questionnaire. The fuzzy AHP was used to compare these supplier firms.
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
Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach
Awasthi, A., Govindan, K., & Gold, S. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.10.013 · Cited by 544
An integrated approach for supplier portfolio selection: Lean or agile?
Abdollahi, M., Arvan, M., & Razmi, J. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.08.019 · Cited by 160
Profiling research published in the Journal of Enterprise Information Management (JEIM)
Dwivedi, Y. K., & Mustafee, N. (2010) · Journal of Enterprise Information Management · doi:10.1108/17410391011008888 · Cited by 25
A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection
İnce, M., Yiğit, T., & Hakan Işik, A. (2020) · International Journal of Information Technology & Decision Making · doi:10.1142/s0219622020500054 · Cited by 16
Aladejana, O., Salami, A. T., & Adetoro, O. O. (2021) · Geocarto International · doi:10.1080/10106049.2019.1687595 · Cited by 13
Metadata
- Authors
- Kahraman, C., Cebeci, U., & Ulukan, Z.
- Venue
- Logistics Information Management
- Publisher
- Emerald
- Published
- 2003-12-01
- Volume
- 16
- Issue
- 6
- Pages
- 382-394
- ISSN
- 0957-6053 (ISSN-L)
- OpenAlex
- W2092620885
- Cited by
- 1,229
- References
- 0
- FWCI
- 9.17
- 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: Multi‐criteria supplier selection using fuzzy AHP. https://app.cochat.ai/papers/10.1108/09576050310503367
- The paper
- Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi‐criteria supplier selection using fuzzy AHP. Logistics Information Management. https://doi.org/10.1108/09576050310503367
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.
