The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution
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Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“When the FMEA crossfunctional team evaluates S, O, and D in an event process, the evaluation is a qualitative rating that indicates the errors that may occur.”
From Application of Monte Carlo Simulation to Study the Probability of Confidence Level under the PFMEA’s Action Priority (2022) · cites this paper as [6]
In the citing paper
“Since the criteria evaluation form is the qualitative rating standard with semantic judgment, evaluation errors are likely to occur when the team judges S, O, and D.”
From Application of Monte Carlo Simulation to Study the Probability of Confidence Level under the PFMEA’s Action Priority (2022) · cites this paper as [6]
In the citing paper
“As a result, the evaluation of S, O, and D would change with crossfunctional teams.”
From Application of Monte Carlo Simulation to Study the Probability of Confidence Level under the PFMEA’s Action Priority (2022) · cites this paper as [6]
Citations
Cites
Analysis of a complex of statistical variables into principal components.
Hotelling, H. (1933) · Journal of Educational Psychology · doi:10.1037/h0071325 · Cited by 9,633
Multiple Attribute Decision Making
Hwang, C.-L., & Yoon, K. (1981) · Lecture notes in economics and mathematical systems · doi:10.1007/978-3-642-48318-9 · Cited by 9,047
Multiple Attribute Decision Making: Methods and Applications
Chen, S.-J. J., Hwang, C. L., Beckmann, M. J., & Krelle, W. E. (1981) · Medical Entomology and Zoology · Cited by 8,207
Quality Engineering Using Robust Design
Menten, T., & Phadke, M. S. (1991) · Technometrics · doi:10.2307/1269049 · Cited by 3,541
Quality Engineering using Design of Experiments
Phadke, M. S. (1989) · Quality Control, Robust Design, and the Taguchi Method · doi:10.1007/978-1-4684-1472-1_3 · Cited by 585
Copper interconnections and reliability
Hu, C. ‐., & Harper, J. M. E. (1998) · Materials Chemistry and Physics · doi:10.1016/s0254-0584(98)80000-x · Cited by 284
OPTIMIZING MULTI-RESPONSE PROBLEMS IN THE TAGUCHI METHOD BY FUZZY MULTIPLE ATTRIBUTE DECISION MAKING
Tong, L., & Su, C.-T. (1997) · Quality and Reliability Engineering International · doi:10.1002/(sici)1099-1638(199701)13:1<25::aid-qre59>3.0.co;2-b · Cited by 185
Self-citationOptimal levels of process parameters for products with multiple characteristics
Elsayed, E. A., & Chen, A. (1993) · International Journal of Production Research · doi:10.1080/00207549308956778 · Cited by 177
Characterizing and optimizing multi‐response processes by the taguchi method
Logothetis, N. K., & Haigh, A. (1988) · Quality and Reliability Engineering International · doi:10.1002/qre.4680040211 · Cited by 176
Quality Loss Functions for Optimization across Multiple Response Surfaces
Ames, A. E., Mattucci, N., Macdonald, S., et al. (1997) · Journal of Quality Technology · doi:10.1080/00224065.1997.11979775 · Cited by 164
Research works printed but not linked: 1
- Lakshminarayanan S, Steigerwald J, Price D, Chow TP, Gutmann RJ, Murarka SP (1995) CMOS devices and multilevel interconnections with dual damascene copper metallization. Proceddings of IEEE VMIC, pp337–339, June 27-29
Cited by
Sun, J.-J., Yeh, T.-M., & Pai, F.-Y. (2022) · Mathematics · doi:10.3390/math10152596 · Cited by 10
Metadata
- Authors
- Tong, L.-I., Wang, C.-H., & Chen, H.-C.
- Affiliations
- National Yang Ming Chiao Tung University (TW)
- National Defense University (US)
- United Microelectronics (Taiwan) (TW)
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2004-07-07
- Volume
- 27
- Issue
- 3-4
- Pages
- 407-414
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W1965672041
- Cited by
- 142
- References
- 13
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 7 · 2022: 8 · 2021: 5 · 2020: 8 · 2019: 6 · 2018: 10 · 2017: 9 · 2016: 5 · 2015: 12 · 2014: 12 · 2013: 17 · 2012: 13
- FWCI
- 0.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The International Journal of Advanced Manufacturing Technology (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Machining and Optimization Techniques
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Keywords
- multi-response optimization, Taguchi parameter design, signal-to-noise ratio, principal component analysis, TOPSIS, chemical mechanical polishing, copper thin films, integrated circuit fabrication
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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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution. https://app.cochat.ai/papers/10.1007/s00170-004-2157-9
- The paper
- Tong, L.-I., Wang, C.-H., & Chen, H.-C. (2005). Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-004-2157-9
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.
