Loading menu…

A Comparison Test for Net Sensitivity

ยง California Southern University

Send Message

To: Author

A Comparison Test for Net Sensitivity

Article Fingerprint

ReserarchID

H8654

A Comparison Test for Net Sensitivity Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

A common problem in supplier management involves being able to tell if the difference in quality performance between suppliers is significant. Net sensitivity is a process capability measure of the nonconformance risk associated with a supplierโ€™s product or service performance. This paper provides a two-sample confidence interval test that will allow the practitioner to determine if there is a significant risk difference between two suppliers with respect to their net sensitivities.

References

7 Cites in Article
  1. 1. P. Bernstein (1996). The New Religion of Risk Management. Harvard Business Review, March- April
  2. 2. Youn-Min Chou,Alan Polansky,Robert Mason (1998). Transforming Non-Normal Data to Normality in Statistical Process Control. Journal of Quality Technology, 30(2), 133-141.
  3. 3. John Flaig (1999). Process Capability Sensitivity Analysis. Quality Engineering. Quality Engineering, 11(4), 587-592.
  4. 4. J. Flaig (2000). Process Capability Sensitivity Analysis.Quality Control and Applied Statistics. Marcel Dekker, 45(3)
  5. 5. Nicholas Farnum (1996). USING JOHNSON CURVES TO DESCRIBE NON-NORMAL ROCESS DATA. Quality Engineering, 9(2), 329-336.
  6. 6. Samuel Kotz,Norman Johnson (1993). Multivariate process capability indices. Process Capability Indices, 179-201.
  7. 7. Steven Somerville,Douglas Montgomery (1997). Process Capability Indices and Non-normal Distributions. Quality Engineering. Quality Engineering, 9(2), 305-316.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

John J. Flaig. 2013. "A Comparison Test for Net Sensitivity". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 13 (GJRE Volume 13 Issue 44 (J3)).

More Citation Formats

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-J Classification FOR Code: 091599
Version of record
v1.2

Issue date
October 18, 2013

Language
English
Order Article Reprint
Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 2K
Total Downloads: 129
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

A Comparison Test for Net Sensitivity

John Flaig
John Flaig