The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Mass customization: Literature review and research directions
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Citations
Cites
Introduction to Statistical Quality Control
Sauter, R. M., & Montgomery, D. C. (1992) · Technometrics · doi:10.2307/1269251 · Cited by 7,842
The machine that changed the world
(1992) · Long Range Planning · doi:10.1016/0024-6301(92)90400-v · Cited by 5,805
The Machine That Changed the World
Wolf, B. M. (1991) · Journal of International Business Studies · doi:10.1057/jibs.1991.40 · Cited by 4,717
Design and Analysis of Experiments
Srinivasan, S. (1992) · Technometrics · doi:10.1080/00401706.1992.10484919 · Cited by 2,747
Slack, N., Chambers, S., & Johnston, R. B. (2010) · doi:10.82444/warw.33661327 · Cited by 1,792
Flexibility in manufacturing: A survey
Sethi, A., & Sethi, S. (1990) · International Journal of Flexible Manufacturing Systems · doi:10.1007/bf00186471 · Cited by 1,691
Accelerated Testing: Statistical Models, Test Plans, and Data Analyses.
Macarthur, E., & Nelson, W. (1992) · Applied Statistics · doi:10.2307/2347642 · Cited by 1,425
The four faces of mass customization.
Gilmore, J. H., & Pine, B. J. (1997) · PubMed · Cited by 938
Making mass customization work
Pine, B. J., & Victor, B. I. (1993) · Harvard business review · Cited by 722
Mass customization: Implementing the emerging paradigm for competitive advantage
Kotha, S. (1995) · Strategic Management Journal · doi:10.1002/smj.4250160916 · Cited by 614
Cited by
The mass customization decade: An updated review of the literature
Fogliatto, F. S., da Silveira, G. J. C., & Borenstein, D. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.03.002 · Cited by 710
Self-citationA comparison of traditional manufacturing vs additive manufacturing, the best method for the job
Pereira, T., Kennedy, J. V., & Potgieter, J. (2019) · Procedia Manufacturing · doi:10.1016/j.promfg.2019.02.003 · Cited by 523
Learning curve models and applications: Literature review and research directions
Anzanello, M. J., & Fogliatto, F. S. (2011) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2011.05.001 · Cited by 508
Self-citationCloud manufacturing as a sustainable process manufacturing route
Fisher, O., Watson, N., Porcu, L., Bacon, D., Rigley, M., & Gomes, R. L. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.03.005 · Cited by 282
How does artificial intelligence create business agility? Evidence from chatbots
Wang, X., Lin, X., & Shao, B. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102535 · Cited by 197
Metadata
- Authors
- Da Silveira, G., Borenstein, D., & Fogliatto, F. S.
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2001-06
- Volume
- 72
- Issue
- 1
- Pages
- 1-13
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2085914392
- Cited by
- 1,311
- References
- 30
- FWCI
- 50.38
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- This page
- CoChat. (2026). Citation check: Mass customization: Literature review and research directions. https://app.cochat.ai/papers/10.1016/s0925-5273(00)00079-7
- The paper
- Da Silveira, G., Borenstein, D., & Fogliatto, F. S. (2001). Mass customization: Literature review and research directions. International Journal of Production Economics. https://doi.org/10.1016/s0925-5273(00)00079-7
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.
