Design of experiments to study and optimize process performance

R. Konda, K. P. Rajurkar, R. R. Bishu, A. Guha, M. Parson

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

Design of experiments is one of the many problem-solving quality tools that can be used for various investigations such as finding the significant factors in a process, the effect of each factor on the outcome, the variance in the process, troubleshooting the machine problems, screening the parameters, and modeling the processes. Many industries use this tool to stay competitive worldwide by designing robust products as well as improving quality and reliability of a product. By using strategically designed and statistically performed experiments, it is possible to study the effect of several variables at one time, and to study inter-relationships and interactions. Proposes a strategy to apply the design of experiments to study and optimize the performance of a process. Additionally, the formulation and solution to a multi-objective optimization problem have been presented. As a case study, experimental design technique used by the authors to study the performance of a wire electrical discharge machining process for machining beryllium copper alloys is presented.

Original languageEnglish (US)
Pages (from-to)56-71
Number of pages16
JournalInternational Journal of Quality and Reliability Management
Volume16
Issue number1
DOIs
StatePublished - Dec 1 1999

Fingerprint

Design of experiments
Process performance
Machining
Factors
Industry
Multi-objective optimization
Interrelationship
Optimization problem
Copper
Experimental design
Screening
Interaction
Modeling
Experiment
Problem solving

Keywords

  • Design of experiments
  • Machining
  • Optimization
  • Process efficiency
  • Taguchi methods

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Strategy and Management

Cite this

Design of experiments to study and optimize process performance. / Konda, R.; Rajurkar, K. P.; Bishu, R. R.; Guha, A.; Parson, M.

In: International Journal of Quality and Reliability Management, Vol. 16, No. 1, 01.12.1999, p. 56-71.

Research output: Contribution to journalArticle

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