The modified Huang’s cost model for process optimization

The modified Huang’s cost model for process optimization In 2001, Huang presented the problem of determining the optimum process mean and standard deviation based on considering the trade-off relationship between the process adjustment cost and the quality loss of product. They considered the normal quality characteristic and adopted the quadratic quality loss function for measuring the product quality. In this paper, we further propose the problem of process optimization and reconsider the modified Huang’s model under the specified process capability index value for determining the optimum process parameters. The symmetric quadratic, asymmetric quadratic, and asymmetric linear quality loss functions will be adopted for evaluating the product quality. Finally, the numerical example and the sensitivity analysis of parameters will be provided for illustration. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

The modified Huang’s cost model for process optimization

Loading next page...
 
/lp/springer_journal/the-modified-huang-s-cost-model-for-process-optimization-YtSY0RkOif
Publisher
Springer Netherlands
Copyright
Copyright © 2007 by Springer Science+Business Media B.V.
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-007-9140-0
Publisher site
See Article on Publisher Site

Abstract

In 2001, Huang presented the problem of determining the optimum process mean and standard deviation based on considering the trade-off relationship between the process adjustment cost and the quality loss of product. They considered the normal quality characteristic and adopted the quadratic quality loss function for measuring the product quality. In this paper, we further propose the problem of process optimization and reconsider the modified Huang’s model under the specified process capability index value for determining the optimum process parameters. The symmetric quadratic, asymmetric quadratic, and asymmetric linear quality loss functions will be adopted for evaluating the product quality. Finally, the numerical example and the sensitivity analysis of parameters will be provided for illustration.

Journal

Quality & QuantitySpringer Journals

Published: Nov 28, 2007

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off