統計製程管制發展由來已久，在許多製造業生產環境中均可見其踪影。然而統計製程管制應用在製程管制普遍僅限於管制圖的導入應用，對於管制圖的深化能力如製程能力的管制、偵測與評估甚少著墨，因此常讓統計製程管制技術淪於形式。同時統計製程管制雖可了解生產製程的製程變異情形，但卻無法整合生產資源的應用能力。雖然製程監控對生產製程可達到即時管制作用，但對生產製程資源因應未來需求預測所必要的產能分析，卻顯得相當不足。
本研究針對統計製程管制技術結合系統模擬技術提出創新管理模式。透過生產製程觀測與樣本收集記錄，考慮統計製程管制能力對系統的變異狀態，結合系統模擬技術的應用，探討統計製程管制技術在資源限制與考慮資源配置下，對系統製程的可行性和應用性提出說明，並利用品質改進手法與系統動力學之因果回饋圖考慮資源動態能力對管理決策的影響。研究結果發現：
1、應用系統模擬技術能有效模擬出實際生產作業流程，並依據輸入的參數按照系統模擬模型產生有效的輸出。
2、統計工具可以提高樣本資料做為系統模擬參考的重要方法。經由適當的資料驗證，可以得到信度更高的模擬果。
3、線上統計製程管制透過系統模擬技術得以即時預測製程監控、生產資源的配置和預期產能狀況。

The development of statistical process control has been for a long time and can be turned up in many manufacturing environments. However, statistical process control applications in process control generally limited to use the control chart applications, the deepening capacity for control charts such as process capability control, variation detection and evaluation, are rarely described so often so that statistical process control techniques is relegated. Meanwhile, statistical process control can detect the production process of the variations, but it can’t integrate the production resource capacity. Although the process control of manufacturing processes can achieve real-time control of effects, but the resources of the production process appeared to be quite inadequate in response to future demand forecast and capacity analysis.
Therefore, this study combined with statistical process control system simulation technology for innovative management. Through the process observation and sample collection, we can use simulation technology to propose the process feasibility and applicability in resource constraint and resource allocation for considering the variation of the statistical process control, and use the quality improvement tools and causal feedback map, the system dynamics tools, in the resource dynamic ability for decision-making management.
The research result appears:
1、Based on the effective input parameters of simulation model , it can effectively simulate the actual production processes and produce an effective output.
2、Through the appropriate statistical data validation, it can improve the sample reliability as an important reference to system simulation methods.
3、Using the simulation technology, we can monitor the online process control, production resources allocation and capacity prediction.

目錄
誌謝 ................................................................... II
中文摘要 .......................................................... III
ABSTRACT .................................................... IV
目錄 .................................................................. V
圖次 ................................................................ VII
表次 ............................................................... VIII
第一章緒論 ....................................................... 1
第一節研究背景與動機.................................... 1
第二節研究目的 ............................................... 2
第三節研究步驟 ............................................... 2
第四節章節組織 ............................................... 3
第二章文獻探討 ............................................... 5
第一節統計製程管制 ....................................... 5
第二節系統模擬技術 ..................................... 10
第三節系統模擬技術與統計製程管制 ......... 20
第三章研究架構 ............................................. 23
第一節問題與系統範圍.................................. 23
第二節樣本收集與分析.................................. 24
第三節模擬模式 ............................................. 31
第四節資源準則描述 ..................................... 42
第五節變異分析與因果回饋關係 ................. 47
第四章模擬系統建立與分析 ......................... 54
第一節個案公司簡介 ..................................... 54
第二節概念化模型 ......................................... 59
第三節模型轉換與驗證.................................. 60
第四節模擬結果分析與探討 ......................... 65
第五章結論 ..................................................... 74
參考文獻 ......................................................... 77
附錄 ................................................................. 80

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