1334363
doi
10.5281/zenodo.1334363
oai:zenodo.org:1334363
S. Boonhao
Hybrid of Hunting Search and Modified Simplex Methods for Grease Position Parameter Design Optimisation
P. Luangpaiboon
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
This study proposes a multi-response surface
optimization problem (MRSOP) for determining the proper choices
of a process parameter design (PPD) decision problem in a noisy
environment of a grease position process in an electronic industry.
The proposed models attempts to maximize dual process responses
on the mean of parts between failure on left and right processes. The
conventional modified simplex method and its hybridization of the
stochastic operator from the hunting search algorithm are applied to
determine the proper levels of controllable design parameters
affecting the quality performances. A numerical example
demonstrates the feasibility of applying the proposed model to the
PPD problem via two iterative methods. Its advantages are also
discussed. Numerical results demonstrate that the hybridization is
superior to the use of the conventional method. In this study, the
mean of parts between failure on left and right lines improve by
39.51%, approximately. All experimental data presented in this
research have been normalized to disguise actual performance
measures as raw data are considered to be confidential.
Zenodo
2013-01-26
info:eu-repo/semantics/article
1334362
7754
1579531847.634647
329354
md5:a35166f92036640caf95368d71d45290
https://zenodo.org/records/1334363/files/7754.pdf
public
10.5281/zenodo.1334362
isVersionOf
doi
International Journal of Mechanical, Industrial and Aerospace Sciences
6.0
1
2013-01-26