TY - JOUR
T1 - Enhancing the Structural Strength of an ODD Laptop via Six Sigma Approach
AU - Su, Chao Ton
AU - Su, Feng Min
AU - Chen, Tzu Yu
AU - Chen, Li Fei
N1 - Publisher Copyright:
© 2011-2012 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The conventional design of notebook PCs configured with an optical disk drive suffers from structural durability problems that are indicative of potentially high defect rates. Companies have been attempting to reduce the size of assembly parts to pursue compactness, but the elimination of these materials might negatively affect structural stability, which is fundamentally important to all high-technology products. The Six Sigma methodology applied in this paper aims to improve quality performance and eliminate redesign waste and unnecessary handoffs according to customer requirements. This paper presents a case study using the define, measure, analyze, improve, and control (DMAIC) procedure. Several optimization techniques, such as response surface method (RSM) and computational intelligence, are adopted to optimize the significant factors that affect the module design and structural strength index during compression. Implementation results demonstrate that computational intelligence outperforms RSM. It shows computational intelligence reveals a good ability to solve the parameter optimization problems.
AB - The conventional design of notebook PCs configured with an optical disk drive suffers from structural durability problems that are indicative of potentially high defect rates. Companies have been attempting to reduce the size of assembly parts to pursue compactness, but the elimination of these materials might negatively affect structural stability, which is fundamentally important to all high-technology products. The Six Sigma methodology applied in this paper aims to improve quality performance and eliminate redesign waste and unnecessary handoffs according to customer requirements. This paper presents a case study using the define, measure, analyze, improve, and control (DMAIC) procedure. Several optimization techniques, such as response surface method (RSM) and computational intelligence, are adopted to optimize the significant factors that affect the module design and structural strength index during compression. Implementation results demonstrate that computational intelligence outperforms RSM. It shows computational intelligence reveals a good ability to solve the parameter optimization problems.
KW - Genetic algorithms (GAs)
KW - neural networks (NNs)
KW - optical disk drive (ODD)
KW - response surface method (RSM)
KW - Six Sigma
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U2 - 10.1109/TCPMT.2019.2922728
DO - 10.1109/TCPMT.2019.2922728
M3 - Article
AN - SCOPUS:85074984068
SN - 2156-3950
VL - 9
SP - 2200
EP - 2209
JO - IEEE Transactions on Components, Packaging and Manufacturing Technology
JF - IEEE Transactions on Components, Packaging and Manufacturing Technology
IS - 11
M1 - 8736385
ER -