TY  - JOUR
AB  - Purpose This paper aims to propose an innovative parametric design for artificial neural network (ANN) modeling for the multi-quality function problem to determine the optimal process scenarios.Design/methodology/approach The innovative hybrid algorithm gray relational analysis (GRA)-ANN and the GRA-Entropy are proposed to effectively solve the multi-response optimization problem.Findings Both the GRA-ANN and the GRA-Entropy analytical approaches find that the optimal process scenario is a stencil aperture of 57 per cent and immediate processing of the printed circuit board after exposure to a room environment.Originality/value A six-week confirmation test indicates that the optimal process has improved quad flat non-lead assembly yield from 99.12 to 99.78 per cent.
VL  - 28
IS  - 2
SN  - 0954-0911
DO  - 10.1108/SSMT-10-2015-0034
UR  - https://doi.org/10.1108/SSMT-10-2015-0034
AU  - Huang Chien-Yi
AU  - Chen Ching-Hsiang
AU  - Lin Yueh-Hsun
PY  - 2016
Y1  - 2016/01/01
TI  - A grey-ANN approach for optimizing the QFN component assembly process for smart phone application
T2  - Soldering & Surface Mount Technology
PB  - Emerald Group Publishing Limited
SP  - 63
EP  - 73
Y2  - 2024/04/19
ER  -