Entropy 2007, 9(4), 198-232; doi:10.3390/e9040198
Article

Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16

Sorana D. Bolboacă 1,* email and Lorentz Jäntschi 2 email
1 Iuliu Hatieganu University of Medicine and Pharmacy Cluj-Napoca, 6 Louis Pasteur, 400349 Cluj- Napoca, Romania 2 Technical University of Cluj-Napoca, 103-105 Muncii Bvd., 400641 Cluj-Napoca, Romania
* Author to whom correspondence should be addressed.
Received: 22 August 2007; in revised form: 2 January 1995 / Accepted: 1 November 2007 / Published: 31 December 2007
PDF Full-text Download PDF Full-Text [301 KB, uploaded 16 September 2008 11:01 CEST]
Abstract: A methodology for the design of an experiment is proposed in order to find asmany schemes as possible with the maximum number of factors with different levels for thesmallest number of experimental runs. An algorithm was developed and homemadesoftware was implemented. The abilities in generation of the largest groups of orthogonalarrays were analyzed for experimental runs of 4, 6, 8, 9, 10, 12, 14, 15, and 16. The resultsshow that the proposed method permits the construction of the largest groups of orthogonalarrays with the maximum number of factors.
Keywords: Design of experiment; orthogonal arrays; Taguchi method.

Article Statistics

Click here to load and display the download statistics.

Cite This Article

MDPI and ACS Style

Bolboacă, S.D.; Jäntschi, L. Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16. Entropy 2007, 9, 198-232.

AMA Style

Bolboacă SD, Jäntschi L. Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16. Entropy. 2007; 9(4):198-232.

Chicago/Turabian Style

Bolboacă, Sorana D.; Jäntschi, Lorentz. 2007. "Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16." Entropy 9, no. 4: 198-232.

Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert