YASUI Seiichi

J-GLOBAL         Last updated: Mar 29, 2019 at 03:10
 
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Name
YASUI Seiichi
E-mail
yasuirs.tus.ac.jp
Affiliation
Tokyo University of Science
Section
Tokyo University of Science, Faculty of Science and Technology, Department of Industrial Administration
Job title
Junior Associate Professor
Degree
Doctor(Engineering)(Tokyo University of Science)

Research Areas

 
 

Education

 
 
 - 
2001
Department of Industrial Administration, Faculty of Science and Engineering, Tokyo University of Science
 
 
 - 
2006
Graduate School, Division of Science and Engineering, Tokyo University of Science
 

Awards & Honors

 
Sep 2016
Best Paper Award
 
Sep 2015
Best Paper Award
 
Oct 2012
JSQC Activity Acknowledgment Award
 
Sep 2003
The Best Papars Award (with Encouragement)
 

Published Papers

 
A Control Chart for Compositional Data following Dirichlet Distribution
Seiichi YASUI and Takehiro TAKAMIZAWA
Full Papers Book of XVI ANQ Congress 2018   1(1) 291-298   Sep 2018   [Refereed]
Experimental learning of QC problem solving by proactively utilizing root cause data
Masato Nagai, Seiichi Yasui
Full Papers Book of XVI ANQ Congress 2018   1(1) 155-163   Sep 2018   [Refereed]
D-Optimal Three-Stage Unbalanced Nested Designs for the Determination of Measurement Precision
Seiichi Yasui, Yoshikazu Ojima
Frontiers in Statistical Quality Control   12(1) 293-303   Jul 2018   [Refereed]
A Characterization of Bivariate Copulas for Reliability Evaluation of Dependent Failure Systems
Daiki Suga, Seiichi Yasui, Yoshikazu Ojima
2017 Proc. Ann. Reliability & Maintainability Symp.      Jan 2017   [Refereed]
Statistical Features of Compositional Data Analysis for Monitoring Processes
Seiichi Yasui, Misa Sato, Yoshikazu Ojima
Proceedings of 14th Congress of ANQ      Sep 2016   [Refereed]

Misc

 
紙ヘリコプターを用いた実験計画法による最適設計体験学習
安井 清一
経営システム   28(1) 64-75   Jul 2018

Conference Activities & Talks

 
A Control Chart for Compositional Data following Dirichlet Distribution
Seiichi YASUI, Takehiro TAKAMIZAWA
16th ANQ Congress 2018   19 Sep 2018   
Experimental learning of QC problem solving by proactively utilizing root cause data
Masato Nagai, Seiichi Yasui
16th ANQ Congress 2018   19 Sep 2018   
Bayesian Phase I/II Cancer Clinical Trials Using the Tumor Growth Inhibition Model with Combination Drugs
Yuriko Mitsui, Seiichi Yasui, Tomoyoshi Hatayama
Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018   27 Aug 2018   
Central Statistical Monitoring using Bayesian Finite Mixture Models in Risk-based Monitoring
Tomoyoshi Hatayama, Seiichi Yasui and Yuichi Fukumasu
Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018   27 Aug 2018   
Self-Starting Control Charts and their Accurate Run-Length Distributions
Yoshiaki Kunikawa, Seiichi Yasui
European Network for Business and Industrial Statistics 17th Annual Conference   13 Sep 2017   

Research Grants & Projects

 
Statistical Process Control for large item small volume production. Identifying Dispersion Effects in Unreplicated Fractional Factorials Experiments.
The statistical methods is developed for process control and improvement in large item small volume production. The methods of identifying the dispersion effects which are the factors with different variances depending on levels are studied in unr...