Matching models to real life for defect reduction

Author

Tuttle, James A. ; Collins, Thomas W. ; Tuttle, Mary Stone

Author_Institution

J.A. Tuttle Associates Ltd., USA

fYear

1995

fDate

21-25 Oct 1995

Firstpage

217

Lastpage

223

Abstract

This paper describes a method for quantitatively linking easily measurable parameters [defectivity in parts per million (PPM), test effectiveness (TE), failures in time rates (FIT)] with both customer and producer valued metrics. It describes a process by which test data derived from assembled printed circuit board (PCB) test and the determination of process capability are quantitatively linked. How these derived values relate to continuous improvement activities in PCB assembly, test, component supply and design quality is also discussed, as is the use of this data as a feed forward to the design of future products. Typical examples of our experiences at Tandem Computers are included to illustrate the implementation of the techniques

Keywords

budgeting; circuit optimisation; concurrent engineering; design for manufacture; design for testability; integrated circuit yield; printed circuit testing; production testing; reliability; reliability theory; assembled printed circuit board test; board functional test; budgeting; component supply; concurrent engineering; customer valued metrics; defect reduction; defectivity in parts per million; design quality; failures in time rates; in-circuit test; matching models; operational parameters; process capability; producer valued metrics; product quality; real life matching; reliability growth; system test; test effectiveness; Assembly; Circuit testing; Costs; Manufacturing processes; Printed circuits; Process design; Production facilities; Resource management; Systems engineering and theory; Tellurium;

fLanguage

English

Publisher

ieee

Conference_Titel

Test Conference, 1995. Proceedings., International

Conference_Location

Washington, DC

ISSN

1089-3539

Print_ISBN

0-7803-2992-9

Type

conf

DOI

10.1109/TEST.1995.529836

Filename

529836