Robust Parameter Design with Multiplicative Models in Measurement Systems
-
- KAWAMURA Toshihiko
- The Institute of Statistical Mathematics
-
- MOTOYAMA Hitoshi
- The Institute of Statistical Mathematics
Bibliographic Information
- Other Title
-
- 乗法型計測システムにおけるパラメータ設計
- 乗法型計測システムにおけるパラメータ設計 : 応答関数モデリングとパフォーマンス測度モデリングによる最適化
- ジョウホウガタ ケイソク システム ニ オケル パラメータ セッケイ : オウトウ カンスウ モデリング ト パフォーマンス ソクド モデリング ニ ヨル サイテキ カ
- － 応答関数モデリングとパフォーマンス測度モデリングによる最適化－
- －Optimization Based on Response Function Modeling and Performance Measure Modeling －
Search this article
Abstract
In this article, we propose a statistical method which reduces the variation in measurement systems. We consider systems with positive-valued linear (multiplicative models) signal-response relationship passing through the origin. The unobservable noise variables are classified into three categories : noise factors, remained noise factors, and random errors. Then we propose a generalized signal-to-noise (SN) ratio in measurement systems with respect to the classification. Furthermore, we discuss the two different data analysis methods -response function modeling and performance measure modeling- for modeling and optimization. The effectiveness of two methods is investigated by a Monte Carlo simulation study.
Journal
-
- Journal of The Japanese Society for Quality Control
-
Journal of The Japanese Society for Quality Control 42 (2), 241-247, 2012
The Japanese Society for Quality Control
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282679476592384
-
- NII Article ID
- 110009437383
-
- NII Book ID
- AN00354769
-
- ISSN
- 24321044
- 03868230
-
- NDL BIB ID
- 023741243
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed
