應用六標準差方法於筆記型電腦光碟機之結構強度特性改善

Enhancing the ODD Anti-Compression Structural Strength of Notebook PC via Six Sigma Approach

陳慈雨(Chen, Tzu Yu)

指導教授 ： 蘇朝墩

國立清華大學/工學院/工業工程與工程管理學系/碩士(2016年)

摘要

近年來由於消費者對於電子產品的訴求為更加輕薄，筆記型電腦之光碟機雖非必要配備，但是市場上仍有不少消費者基於方便性，在選購筆記型電腦時，仍會優先考量內建光碟機的機種。為因應市場快速成長，光碟機薄型化的設計，雖在外觀上滿足消費者需求，然而薄型化產品在高壓力的測試環境下，會出現結構強度特性不良的問題，導致無法通過產品量產之規格要求。目前的產品在消費者長時間下使用，因結構強度不足在運轉過程中有異音等問題出現，而產生了許多為解決客訴問題的品質外部成本。依照先前相關產品的開發經驗，機構工程師若是以經驗法則或試誤法進行參數調整，不只無法尋獲問題根本原因，而且改善效率非常緩慢，可能會耽誤到新產品開發的時程，而影響後續訂單。
　　本研究應用六標準差方法論於筆記型電腦結構強度之改善。實際以光碟機結構強度之特性為主要改善研究對象，並透過六標準差DMAIC方法找出影響結構強度特性之重要參數，在改善階段採用反應曲面法與計算智能方法進行參數水準之最佳化以及成效上的比較。本研究方法論提供研發人員進行有系統性的實驗，使得研究案例在短時間內獲得良好的改善，有效地縮短了半年以上的開發時程，並順利解決光碟機結構強度不足之問題以滿足客戶需求，同時也重新活絡筆記型電腦內建光碟機之薄型化市場訂單。

關鍵字

六標準差 ； 筆記型電腦光碟機 ； 反應曲面法 ； 類神經網路 ； 基因演算法

並列摘要

Compact notebook PCs are desired nowadays. However, 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 DMAIC-based Six Sigma methodology applied in this research aims to improve quality performance, and eliminate redesign waste and unnecessary handoffs according to customer requirements. Several optimization techniques, such as factorial experiment, response surface method, and computational intelligence approaches, are also adopted to optimize the significant factors that affect the module design and structural strength index during compression. Implementation results for notebook PC products reveal significant achievements in either quality or cost. The good product yield obtained through the improved quality increased at an average of 15.73%, and resulted in an overall estimated cost saving of US$2.9 million over a period of 12 months.

並列關鍵字

Six Sigma ； optical disk drive ； response surface method ； neural networks ； genetic algorithms

參考文獻

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