應用六標準差手法改善替代料驗證流程

NCUIR > School of Management at National Central University > Executive Master of Industrial Management > Electronic Thesis & Dissertation > Item 987654321/97298

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/97298

Title:	應用六標準差手法改善替代料驗證流程
Authors:	何秦芝;Ho, Chin-Chih
Contributors:	工業管理研究所在職專班
Keywords:	六標準差;DMAIC;流程改善;替代料驗證;流程週期效率;品質管理;Six Sigma;DMAIC;Process Improvement;Alternative Part Verification;Process Cycle Efficiency;Quality Management
Date:	2025-07-10
Issue Date:	2025-10-17 11:06:24 (UTC+8)
Publisher:	國立中央大學
Abstract:	隨著全球供應鏈不確定性日益升高，電子製造業面臨關鍵物料短缺與替代料導入風險，替代料驗證流程的準確性與效率遂成為確保產品品質與交期穩定性的關鍵環節。然在實務執行中，企業常遭遇驗證流程冗長、跨部門協作困難與驗證錯誤率高等挑戰，影響生產計畫與營運績效。本研究以產品開發中「連接器替代料驗證流程」為研究對象，導入六標準差（Six Sigma）方法，並應用DMAIC（定義、衡量、分析、改善、控制）架構，針對現行流程進行系統性分析與優化。研究過程中結合流程週期效率、價值流程圖、魚骨圖、5W1H等品質管理工具，辨識流程瓶頸與錯誤根因，並提出流程重構與標準化策略。研究結果顯示，導入六標準差方法後，替代料驗證錯誤率由原先約20%大幅降低至5%以下，驗證週期時間亦由原平均五週縮短為三週，顯著提升流程效率與準確性，並建立具可重複性與跨部門一致性的標準作業程序(SOP）。本研究實證六標準差應用於工程驗證流程優化之可行性與成效，除可作為企業提升流程品質與供應鏈韌性之參考，亦提供後續學術研究發展流程管理與品質改善模式之依據。 ;With the increasing uncertainty in global supply chains, the electronics manufacturing industry is facing significant challenges related to critical material shortages and the risks associated with introducing alternative components. As a result, the accuracy and efficiency of the alternative part verification process have become key factors in ensuring product quality and delivery reliability. However, in practice, enterprises often encounter lengthy verification procedures, difficulties in cross-functional collaboration, and high error rates, all of which adversely affect production planning and operational performance. This study focuses on the "connector alternative part verification process" within the product development by adopting the Six Sigma methodology and implementing the DMAIC framework (Define, Measure, Analyze, Improve, Control), the study systematically analyzes and optimizes the existing verification workflow. Through the integration of quality management tools such as Process Cycle Efficiency (PCE), Value Stream Mapping (VSM), Fishbone Diagram, and 5W1H, the study identifies bottlenecks and root causes of errors and proposes process reengineering and standardization strategies. The results demonstrate that after implementing the Six Sigma approach, the error rate in alternative part verification significantly decreased from approximately 20% to below 5%, and the average verification cycle was shortened from five weeks to three. These improvements substantially enhanced both process efficiency and accuracy, and established a repeatable and cross-functional Standard Operating Procedure (SOP). This study validates the feasibility and effectiveness of applying Six Sigma to optimize engineering verification processes. The findings offer practical insights for enterprises seeking to enhance process quality and supply chain resilience, and provide a reference framework for future academic research in process management and quality improvement.
Appears in Collections:	[Executive Master of Industrial Management] Electronic Thesis & Dissertation

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