Using statistically designed experiments for process development and improvement: An application in electronics manufacturing

Douglas Montgomery; J. Bert Keats; Leonard A. Perry; James R. Thompson; William S. Messina

doi:10.1016/S0736-5845(99)00057-5

Using statistically designed experiments for process development and improvement: An application in electronics manufacturing

Douglas Montgomery, J. Bert Keats, Leonard A. Perry, James R. Thompson, William S. Messina

Industrial, Systems and Operations Engineering

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

The last 20 years have seen important advances on statistical experimental design. These advances have been both in methodology and in the scope of applications. Of particular interest is the application of designed experiments for process and product design, development and improvement. We present a three-phase methodology for process development and improvement based on statistically designed experiments, along with a comprehensive example for a surface mount technology process in the electronics industry.

Original language	English (US)
Pages (from-to)	55-63
Number of pages	9
Journal	Robotics and Computer-Integrated Manufacturing
Volume	16
Issue number	1
DOIs	https://doi.org/10.1016/S0736-5845(99)00057-5
State	Published - Feb 2000

ASJC Scopus subject areas

Control and Systems Engineering
Software
Mathematics(all)
Computer Science Applications
Industrial and Manufacturing Engineering

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Cite this

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abstract = "The last 20 years have seen important advances on statistical experimental design. These advances have been both in methodology and in the scope of applications. Of particular interest is the application of designed experiments for process and product design, development and improvement. We present a three-phase methodology for process development and improvement based on statistically designed experiments, along with a comprehensive example for a surface mount technology process in the electronics industry.",

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Using statistically designed experiments for process development and improvement: An application in electronics manufacturing

Abstract

ASJC Scopus subject areas

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