半導體ICT產業的產值，可以看出電子工業興盛與否，而IC晶圓製造目前也是屬於台灣重點發展產業。晶圓製造如今從0.15微米製程更進步到深次微米(奈米)。其中晶粒的密度得以不斷增加，原因之ㄧ源自於半導體製造在離子植入及高溫回火的製程技術上不斷突破，因此業界亦將半導體離子植入製程視為關鍵製程。
在晶圓製造的過程當中，製造程序由多達上百道的製程階段(Stage)所組成，每一階段又包含多道製程步驟(Step)需要被執行，才能完成一整段的關鍵製程(如離子植入)。而其中順序上的重複、乃至於運送上的交叉與逆回等複雜性都難以避免。高效率以及合理化的派工與指派，以確保關鍵製程機台能夠完全的發揮產能，生產作業能夠維持高效能與彈性化、低成本化，是所有晶圓製造管理者的挑戰。
在多樣變化以及複雜資訊判斷下，傳統派工僅利用EDD(最早到期時間,由交貨時間反推)設定優先順序(Priority)，再輔以個人經驗判斷，是目前以本人所任職企業而言所採用之方式。本論文研究考量系統化管理方式建立模式，目的為 1.研究最適化指派 2.知識管理，將指派方式與經驗組合成知識庫 3.系統支援決策，藉由技術知識庫發展決策支援人工智慧系統，輔助管理者派工的工作以及知識分享傳遞 4. 自動性與相容性，系統自動執行基本判斷並相容於現有優先順序系統 5. 使用者需求導向，系統適用於管理者與現場工作人員。
系統使用OR(Operation research)指派模式計算最適解，並採用Delphi程式語言開發管理系統。最後經由驗證相關KPI(關鍵績效指標)-機台使用效率、最大產出皆優於原派工方式，製造管理者與執行製造工作人員皆可利用此系統增進派工管理效能。

The prosperity of electronic industry can mainly be attributed and highly correlated to the GDP of semiconductor manufacturing industry (Information & Communications Technology; ICT) which is one of the most crucial developing industries in Taiwan. Nowadays, Chip Manufacturing is even more advanced and sophisticated from 150mm to 90mm (even 65mm) in technological arena. One of the quintessential root causes to bring about the density enhancement of chips is the incessant breakthrough and consistent metamorphosis in process technique in ion implantation and furnace anneal technology so as to be regarded as critical process within semiconductor manufacturing industry.
Among series of procedure towards chip manufacturing sphere, one single procedure is composed of hundreds of stages including multi-layer steps (such as ion implantation). Therefore, it’s unavoidable in complexity on process sequence, transportation arrangement, etc. Moreover, outstanding effectiveness and high degree of rationality in production dispatching and bottleneck-equipment assignment is a major challenge to all managing levels in chip manufacturing so as to corroborate the performance exertion towards key machines among all critical bottleneck procedures.
In common practices towards current chip manufacturing under versatile metamorphosis and complexity in informational judgment, EDD technique (Earliest Due Date Method, which is calculated from and based on ship date to end customers) for facilitating fundamental setting to production priority and personal judgment in manual mode are the most frequent utilized methodologies. The main focus in this paper is to establish proactive and interactive production model in systematic approaches which is projected to acquire the following advantages: (1) Dispatching Optimization Research (DOR); (2) Knowledge Management (KM) and Data Mining (DM) to feasibly interlink between dispatching methodologies and individual judgment so as to optimally create well-organized knowledge base; (3) Decision Support System (DSS) to develop artificial intelligence interface in decision support approaches via technological knowledge pool so as to efficiently lead to highly-than-normal performance in assisting mangers for making the most optimal and feasible solutions and facilitate transmission in knowledge sharing; (4) Degree towards Automation and Compatibility to automatically execute baseline operation and induce production interface to be compatible with current priority sequence system; (5) user-demand orientation so as to enable the algorithm to trigger beneficial synergy to on-line employees and managers.
The approach in this paper is mainly based on assignment model in Operation Research (OR) category to calculate the most feasible solution and develops management system through Delphi programming. By verifying pertinent KPIs (Key Production Indices, such as Equipment Efficiency, WPH, etc), the performance is much higher than traditional methodologies to activate managers and on-line workforce to excel in dispatching effectiveness.

目 錄

摘 要 vii
Abstract viii
誌 謝 x
目 錄 xi
表目錄 x
圖目錄 xx
第一章 緒論 1
1.1 研究背景 1
1.2 研究目的 2
1.3 研究範圍與限制 3
1.4 研究流程與架構 4
第二章 文獻探討 6
2.1晶圓製造流程與離子植入 6
2.1.1 半導體離子植入技術概述 6
2.1.2 離子源特性(Source head character) 9
2.1.3 離子源製程參數(Tune ion-beam current) 9
2.2派工法則定義 10
2.2.1 派工法則歸納 11
2.2.2 批量生產型態之派工法則 12
2.2.3 交期管理之派工法則 14
2.2.4 適用派工法則研討 15

2.3 決策方法 16
2.3.1 決策方法之應用 16
2.3.2 決策方式 19
2.4 線性規劃指派模式 24
2.5 決策支援系統 25
2.5.1系統定義 25
2.5.2決策系統架構內容 27
2.5.3專家系統論述 28
2.5.4專家系統結構 29
2.5.5專家系統特性 32
第三章 研究方法 33
3.1系統開發背景說明 33
3.2系統知識庫之建立 35
3.2.1離子源特性控制 35
3.2.2離子植入參數製程調整 38
3.3決策支援模組設計架構 41
3.3.1 離子源使用控制模組 42
3.3.2 離子源分佈監控模組 44
3.3.3 離子源派工計算模組 45
3.3.4 離子源決策模組 46
第四章 派工輔助系統開發與建構 48
4.1基本架構 48
4.1.1系統目標 48
4.2雛形系統之建構 50
4.2.1離子源使用與參數控制 50
4.2.2系統決策管理 52
4.2.3系統介面管理 53
4.3 系統執行效益 56
第五章 結論與建議 58
5.1. 結論 58
5.2. 未來研究方向 59
參考文獻 60

參考文獻
中文部分
1. 工研院電子所， 2006 半導體工業年鑑， 2006
2. 王孔政、高仕峰，「代理人決策系統之混沌性-以選用資源決策與動態結盟決策為例」，工業工程學刊，第18 卷第2 期，pp.80-94.，2001
3. 朱玉芬，「應用基因演算法在專業IC 設計業的供應鏈生產排程之研究」，輔仁大學資訊管理學系碩士論文，2000
4. 莊達仁，VLSI 製造技術，高力圖書有限公司，1995
5. 姜庭隆，「參雜原理」，p24.，2001
6. Peter Van Zant著，姜庭隆譯，「半導體製程第四版」，滄海書局，2001
7. 張文亮，”Ultra-shallow Junction Formation in Deca-nanometer CMOS Technology”，毫微米通訊第八卷第二期，pp. 9-13.，2002
8. 劉其昌，「晶圓批量異常等待時間為導向之派工法則」，交通大學工業工程與管理系碩士論文，2002
9. 溫伊蓁，「晶圓製造廠目標導向型生產活動控制系統之設計」，交通大學工業工程與管理系碩士論文，1999
10. 賴宏峰著，「現代製造系統導論-基礎篇」，波全資訊股份有限公司，台北，2-11~2-24，1992
11. 蘇豐文，「在不確定與風險下代理人間的協商」，HCM，第三卷第二期，pp.10-21.，2000
12. 姚仁宗，「自主性派工決策機制在平行機台之研究」，屏東科技大學工業管理系碩士論文，2002
13. 吳兆凱，「發展具Holonic 概念之兩階段排程法」， 國立屏東科技大學工業管理系，碩士論文，2001
14. 羅文君，「應用決策支援系統於企業評價之研究」，私立華梵大學工業工程與經營資訊學系，碩士論文，2005
15. 梁定澎編著，「決策支援系統」，松崗出版社，1994
16. 張佑民，「故障診斷專家系統於中央空調之應用分析」， 國立中山大學機械與機電系，碩士論文，2005
17. 李家祺編譯，「人工智慧與專家系統」，松崗電腦圖書資料股份有限公司，1989
18. 吳宗藩、謝清佳，「資訊管理理論與實務」，智勝文化事業有限公司，1998
19. 黃祥熙、陳章潭，「運用限制理論與代理人導向技術建構自主特性之敏速製造」，科技研討會論文集，pp.343-352.，2001

英文部分：
20. Alter, S. L.,“A Taxonomy of Decision Support System”, Sloan Management Review, 19, 39-56. ,1997
21. Chang Y., Sheyoshi T., and Sullivan R. S., “Ranking dispatching rules by data envelopment analysis in a job shop environment,” IIE Transactions, vol. 28, pp. 631-642, 1996
22. EATON NV-6200 SERES TECHNICAL INFORMATION AND DATA
23. Ryssel H. and Glawisching H., Ion Implantation Techniques, Springer-Verlag, 1982.
24. Huang, H. H., “Manufacturing Process Information Controller Design Using Matrix Formulation,” Proceedings of The 5th Annual International Conference on Industrial Engineering-Theory, Applications and Practice. ,2000
25. Jackson J. R., “Simulation research on job shop production,” Naval Research Logistic Quarerly, vol. 14, pp. 287-295, 1957
26. Keen, P. G. W. and Scott Morton, M. S., “Decision Support System”, An Organizational Perspective., MA: Addison-Wesley. 1978
27. Kim Y. D., Kim J. U., Lim S. K., and Jun H. B., “Due-date based scheduling andcontrol policies in a multi-product semiconductor wafer fabrication facility,” IEEETransactions on Semiconductor Manufacturing, vol. 11, pp. 145-163, 1998
28. Lu S. H., Ramaswamy D., and Kumar P. R., “Efficient scheduling policies to reduce mean and variance of cycle-time in semiconductor manufacturing plants,” IEEE Transactions on Semiconductor Manufacturing, vol. 7, pp. 364-398, 1994
29. Lu S. H. and Kumar P. R., “Distributed scheduling based on due dates and buffer priorities,” IEEE Transactions on Semiconductor Manufacturing, vol. 36, pp.1416-1416, 1991
30. Maturana, F. P. and Norrie D. H., , “Distributed decision-making using the contract net within a mediator architecture,” Decision Support Systems, Vol.20 (1) pp. 53-64. ,1997
31. Russell R. S., Dar-El E. M., and Taylor ⅢB. W., “A comparative analysis of theCOVERT job sequence rule using various shop performance measure,”International Journal of Production,1996
32. Sprague, R. H. Jr. and Carlson, E.D., “Building Effective Decision Support System”, New Jersey, Prentice Hall. 1982
33. Vepsalainen A. P. J. and Morton T. E., “Priority rules for job shops with weighted tardiness costs,” Management Sciences, vol. 33, pp. 1025-1047, 1987
34. Van Der Zee D. J., Van Harten A., and Schuur P. C., “Dynamic job assignment heuristics for multi-server batch operations — A cost based approach,” International Journal of Production Research, vol. 35, pp. 3083-3093, 1997
35. Wroblewski K. and Krawczynski R., “Priority rules in production flow control,” Material Flow, vol.2, pp.167-177, 1985
36. Wein L. M., “Scheduling semiconductor wafer fabrication,” IEEE Transactions onSemiconductor Manufacturing, vol. 1, pp. 105-130, 1988
37. http://www.itis.itri.org.tw/ersoitis/(2007.10.01)
38. Hong Xiao, Ph.D.,www2.austin.cc.tx.us/HongXiao/Book.htm(2006)