Statistical methods in manufacturing

Author

Wong, Kwan Y. ; Singh, Vijendra P. ; Rustagi, Jagdish S.

Author_Institution

IBM Almaden Res. Center, San Jose, CA, USA

fYear

1993

fDate

4-6 Oct 1993

Firstpage

215

Lastpage

218

Abstract

The application of design of experiments in manufacturing has been proposed and developed by Genichi Taguchi for quality improvement. An automated design of experiment package (ADOE) has been developed for this purpose. The scope and application of ADOE in manufacturing development and research, particularly for high technology industries are described. This package differs from other available packages in that it deals with both classical and Taguchi methods for quality improvements. Experimental data can be analyzed in several alternative ways, including graphical techniques. The extension of Taguchi´s signal-to-noise ratio has been made for experiments, with several responses having different performance objectives. The package allows the engineer to bypass analysis, if so desired, for obtaining decisions for process optimization

Keywords

computer aided production planning; design for manufacture; design of experiments; inspection; process control; statistical analysis; statistical process control; ADOE package; Taguchi methods; automated design of experiment package; design for quality manufacturing; graphical techniques; high technology industries; manufacturing development; process monitoring; process optimization; quality improvements; sampling inspection for acceptance; statistical methods; Application software; Manufacturing industries; Manufacturing processes; Military standards; Monitoring; Packaging; Process control; Sampling methods; Standards development; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Manufacturing Technology Symposium, 1993, Fifteenth IEEE/CHMT International

Conference_Location

Santa Clara, CA

Print_ISBN

0-7803-1424-7

Type

conf

DOI

10.1109/IEMT.1993.398200

Filename

398200