PCB產業建構智慧工廠之個案研究： 品質能力的觀點;A Case Study on Building a Smart Factory in the PCB Industry: Perspective of Quality Excellence

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题名:	PCB產業建構智慧工廠之個案研究：品質能力的觀點;A Case Study on Building a Smart Factory in the PCB Industry: Perspective of Quality Excellence
作者:	張明貴;kuei, Chang ming
贡献者:	高階主管企管碩士班
关键词:	PCB產業;智能工廠;品質管理;MES;QMS;PCB Industry;Smart Factory;Quality Management;MES;QMS
日期:	2025-06-09
上传时间:	2025-10-17 12:14:59 (UTC+8)
出版者:	國立中央大學
摘要:	本研究探討PCB產業導入智能工廠過程中，如何整合品質管理與營運效率，以實現永續經營與競爭優勢雙重目標。面對產品週期縮短、需求快速變動，傳統人工作業與分散管理已難以因應，智能工廠遂成為數位化、自動化、透明化與即時決策的轉型關鍵。本研究以國內一家上市PCB製造企業為對象，聚焦其自2019年起採用西門子系統推動智能工廠建構的策略與成效，運用工業4.0核心理念，結合CPS（Cyber-Physical System）虛擬層模擬與數據回饋，實現製程數位化與智能化轉型。個案公司導入MES、QMS與SPC等數位技術，建立即時資料收集、製程穩定化、異常預警與決策支援機制，並結合PDCA循環與ISO品質規範，強化跨部門資訊共享與協同決策能力。研究結果顯示，智慧工廠導入後，不良率明顯下降、異常處理時間大幅縮短、良率穩定提升，客戶滿意度亦同步提高。藉由SPC數據分析，企業能即時掌握製程變異，提升品質管理精準度，降低潛在風險。此外，智慧工廠亦推動組織文化轉型，促進員工技能再訓練、作業流程標準化與跨部門協作，成為實現高階製造策略的基礎。研究指出，智慧製造成功關鍵除技術導入與系統整合外，更仰賴企業對品質文化的認同與持續改善的動能。基於個案經驗，本文提出融合「技術應用」與「品質文化建構」的智能工廠導入模式，作為PCB與離散製造業數位轉型之參考，強調策略規劃、系統整合與人才培育，透過數據驅動決策，助企業邁向高品質、高效率與高彈性的智慧製造新紀元。;This study explores how the PCB industry integrates quality management and operational efficiency through smart factory implementation to achieve sustainability and competitiveness. With product life cycles shortening and market demands shifting rapidly, traditional labor-intensive and decentralized production models are insufficient. Smart factories, focusing on digitalization, automation, transparency, and real-time decision-making, are now essential for transformation. Focusing on a listed PCB manufacturer in Taiwan, this research examines its strategies and outcomes since adopting Siemens systems in 2019. Guided by Industry 4.0 principles, the company applied Cyber-Physical System (CPS) virtual simulations and data feedback to optimize processes. Key technologies implemented include Manufacturing Execution Systems (MES), Quality Management Systems (QMS), and Statistical Process Control (SPC), enabling real-time data collection, process stabilization, anomaly detection, and decision support. By combining PDCA cycles with ISO standards, the company enhanced cross-department collaboration and streamlined process management. Results show significant improvements in defect rates, anomaly response times, yield stability, and customer satisfaction. SPC analysis further improved process accuracy and risk control. Additionally, the smart factory initiative drove organizational transformation through workforce reskilling, workflow standardization, and cross-functional collaboration, supporting advanced manufacturing strategies. The study concludes that successful smart manufacturing relies on both technology integration and cultivating a quality-driven culture with continuous improvement. Based on case insights, a model combining technology application and quality culture development is proposed, offering a reference for PCB and discrete manufacturing industries in digital transformation.
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