受到雲端科技的出現與同業競爭的影響，記憶體產業面臨產品生命週期變短，且利潤下降困境。因此，如何藉由持續改善產品品質及提高產出率以維持獲利，為記憶體產業重要課題。本研究以一家於1988年成立之記憶體公司為個案公司，檢視個案公司如何在產品試產階段提升品質。本研究亦檢視個案公司如何進行人力精簡、治具優化、機器設備引進及製程改善，並檢視其對產品品質改善與產出率提升之影響。根據研究結果，本研究建議個案公司應逐步投資經費購買自動化設備，以提高生產效率，節省人力並降低生產成本。對於無法導入自動化的生產線，則採取製程改善或治具優化等方式、以提升生產效率並確保產品品質。
既有研究多數以田口實驗方式檢視特定產業之特定製程改善，並未實際運用於生產線，本研究則以生產線實際檢視人力精簡、設備治具優化及製程改善之影響。因此，本研究結果能提供給記憶體模組廠商提升品質及產能的重要參考。

Due to the emergence of cloud technology and intense competition, the product life cycle becomes shorter and profits decline in memory industry. Therefore, how to maintain profitability by continuously improving product quality and increasing productivity becomes an important issue for the memory industry. This paper uses a company in the memory industry which was founded in 1988 as the case company. This study examines how the case company improves product quality in the trial production phase. This study also investigates how the case company performs continuous improvement in manpower reduction, fixture optimization, automation production, and adjustments of manufacturing processes. Moreover, this study examines the impacts of continuous improvements on product quality and productivity. According to the results, this study suggests that the case company should gradually invest in the purchase of equipment to increase production efficiency, and reduce manpower and production costs. For product lines which cannot use automation productions, the company should implement process improvements or fixture optimization to increase productivity and ensure product quality.
Extant studies have examined the specific processes improvement in certain industries using Taguchi experimental methods. However, the improvements suggested by these studies are not actually applied to product lines. In contrast, this study using one product line to examine the effects of reducing manpower, optimizing fixtures, and improving manufacturing processes. Thus, this study offers practical implications for memory module manufacturers to improve quality and productivity.

一、中文部份
丁信志，2003，田口方法應用於高速放電加工製程之最佳參數設計，國立高雄第一科技大學機械與自動化工程碩士論文。
何智遠，2005，應用灰色理論與田口實驗方法於記憶體模組除料製程之品質改善與化學機械拋光參數分析，台灣科技大學機械工程系碩士論文。
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馮勳烈，2010，六標準差應用於傳統樹脂製造業之品質改善研究，成功大學工程管理碩士在職專班學位論文。
彭秉騏，2017，非揮發記憶體測試圖樣品質提升，國立中央大學電機工程系碩士在職專班。
潘吉祥、黃美玲與張家碩，2006，以田口式品質工程對原子力顯微鏡探針之可控因子作最適設計。品質學報，第13卷第1期，頁35-44。
二、英文部份
Yin, R. K. 1994. Case Study Research: Design and Methods. London: Sage Publications.