Data analysis on trouble to prevent trouble in the market and its reflection for quality assurance at design stage

2016 Fiscal Year Final Research Report

• Project/Area Number: 26350414
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: Keio University (2016); University of Tsukuba (2014-2015)
• Principal Investigator: Yamada Shu 慶應義塾大学, 理工学部(矢上), 教授 (60260965)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 品質不具合 / シミュレーション計画 / 研究開発プロセス / 品質マネジメントシステム / 環境マネジメントシステム

Outline of Final Research Achievements

This research proposes an approach to prevent quality problem in the market by analyzing the field quality data and its reflection in design and prototyping stage including design of experiments in computer simulation at design stage. In order to prevent quality problem in the market, the application of design review is crucial. Therefore, this research obtains an approach to reflect the data analysis result to validate items to be reviewed at design review stage. In addition, the following (i)-(iii) are examined as an application of techniques of design of experiments to computer simulation; (i) validation of developing simulation model; (ii) screening some active factors from many factors; (iii) meta-modeling of complicating response function by some active factors.

Free Research Field

品質管理・実験計画法・データ解析