Enhancing the Structural Strength of an ODD Laptop via Six Sigma Approach

Chao Ton Su*, Feng Min Su, Tzu Yu Chen, Li Fei Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number8736385
Pages (from-to)2200-2209
Number of pages10
JournalIEEE Transactions on Components, Packaging and Manufacturing Technology
Volume9
Issue number11
DOIs
Publication statusPublished - 2019 Nov
Externally publishedYes

Keywords

  • Genetic algorithms (GAs)
  • neural networks (NNs)
  • optical disk drive (ODD)
  • response surface method (RSM)
  • Six Sigma

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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