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Off-Line Quality Control, Parameter Design, and the Taguchi Method
Abstract
Off-line quality control methods are quality and cost control activities conducted at the product and process design stages to improve product manufacturability and reliability, and to reduce product development and lifetime costs. Parameter design is an off-line quality control method. At the product design stage the goal of parameter design is to identify settings of product design characteristics that make the product's performance less sensitive to the effects of environmental variables, deterioration, and manufacturing variations. Because parameter design reduces performance variation by reducing the influence of the sources of variation rather than by controlling them, it is a very cost-effective technique for improving product quality. This paper introduces the concepts of off-line quality control and parameter design and then discusses the Taguchi Method for conducting parameter design experiments.
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Citations
Cited by
Taguchi Techniques for Quality Engineering
Bement, T. R. (1989) · Technometrics · doi:10.1080/00401706.1989.10488519 · Cited by 2,718
Khuri, A. I., & Mukhopadhyay, S. (2010) · WIREs Computational Statistics · doi:10.1002/wics.73 · Cited by 2,113
A review of optimization techniques in metal cutting processes
Mukherjee, I., & Ray, P. K. (2006) · Computers & Industrial Engineering · doi:10.1016/j.cie.2005.10.001 · Cited by 549
Kacker, R., & Jones, A. (2003) · Metrologia · doi:10.1088/0026-1394/40/5/305 · Cited by 179
Metadata
- Authors
- Kackar, R. N.
- Venue
- Journal of Quality Technology
- Publisher
- Informa UK Limited
- Published
- 1985-10
- Volume
- 17
- Issue
- 4
- Pages
- 176-188
- ISSN
- 0022-4065 (ISSN-L)
- 2575-6230
- OpenAlex
- W4243442908
- Cited by
- 647
- References
- 0
- FWCI
- 18.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Off-Line Quality Control, Parameter Design, and the Taguchi Method. https://app.cochat.ai/papers/10.1080/00224065.1985.11978964
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- Kackar, R. N. (1985). Off-Line Quality Control, Parameter Design, and the Taguchi Method. Journal of Quality Technology. https://doi.org/10.1080/00224065.1985.11978964
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.
