- 期刊
The Development Model of "Design for Smart Quality"
智能品質規劃模式之開發
摘要
Since 2010 US has aggressively executed the research and development programs for advanced manufacturing, and German strategically developed the Industry 4.0, smart manufacturing (SM) development has become a global trend. The development of SM is based on the robust information and communications technology-integrated automation systems and the utilization of new technologies, such as cyber-physical system, the internet of things, cloud computing, big data, and artificial intelligence. In comparison, quality control systems are embedded in machines and equipment in SM. The machines and equipment can automatically control their optimal parameters and production conditions, resulting in perfect output quality, called smart quality control. The prerequisite of smart quality control is to develop robust and effective quality control systems for SM. It is the "Design for Smart Quality" (DFSQ). This research proposes a development model of DFSQ, constituted by six steps: define, identify, measure, design, optimize, and verify. The practical implementation of DFSQ can achieve the intelligent levels that the SM systems can be well controlled and self-adjusted, and the manufacturing process can produce the outputs and products with optimum quality.
並列摘要
自2010年起美國就積極地研究及發展先進製造，德國亦在2011年之後全力的發展工業4.0，並推展智慧製造，智能製造發展已成為全球趨勢。智能製造的發展是建基於資訊及通訊科技－整合之自動化系統上，且應用了多項科技工具，諸如訊息－物理系統、物聯網、雲端運算、大數據及人工智慧等。相較之下，品質控制系統嵌入在智能製造的機器和設備中，機器和設備才可以自動控制其最佳參數和生產條件，從而產生完美的輸出品質，稱為智能品質控制（smart quality control）。智能品質控制的先決條件就是為智能製造建構穩健、有效的品質控制系統，也就是智能品質控制系統。本研究提出了「智能品質規劃」（Design for Smart Quality, DFSQ）的開發模型，由六個步驟構成：界定、探究、衡量、設計、優化和驗證。DFSQ的實際實施可以有效地控制和自我調節，且製造過程可以生產具有最佳品質的輸出和產品，達到真正的智能水平。