Optimization of a bonded leads process using statistically designed experiments

Alejandro Heredia-Langner, Elvira N. Loredo, Douglas Montgomery, Alan H. Griffin

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In manufacturing high-technology products using automated manufacturing equipment it is critical to obtain process-operating conditions that simultaneously optimize several output variables of interest. Often these output variables are non-traditional responses such as standard deviations, and there may even be discrete (count or binary) responses. Statistically designed experiments are very useful in optimizing these processes. We illustrate how factorial experiments, statistical models for the responses of interest, and simple optimization techniques can be successfully applied to a bonded leads process.

Original languageEnglish (US)
Pages (from-to)377-382
Number of pages6
JournalRobotics and Computer-Integrated Manufacturing
Volume16
Issue number5
DOIs
StatePublished - Oct 2000

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Optimization
Manufacturing
Experiment
Factorial Experiment
Binary Response
Output
Experiments
Standard deviation
Optimization Techniques
Statistical Model
Count
Optimise
Statistical Models

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Optimization of a bonded leads process using statistically designed experiments. / Heredia-Langner, Alejandro; Loredo, Elvira N.; Montgomery, Douglas; Griffin, Alan H.

In: Robotics and Computer-Integrated Manufacturing, Vol. 16, No. 5, 10.2000, p. 377-382.

Research output: Contribution to journalArticle

Heredia-Langner, Alejandro ; Loredo, Elvira N. ; Montgomery, Douglas ; Griffin, Alan H. / Optimization of a bonded leads process using statistically designed experiments. In: Robotics and Computer-Integrated Manufacturing. 2000 ; Vol. 16, No. 5. pp. 377-382.
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