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研究生:楊廣宜
研究生(外文):Kuang-Yi Yang
論文名稱:以基因演算法結合離散事件模擬求解最佳CONWIP生產架構
論文名稱(外文):A hybrid genetic algorithms and discrete-event simulation method in solving CONWIP design problem
指導教授:楊大和楊大和引用關係
指導教授(外文):Taho Yang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:製造工程研究所碩博士班
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:98
中文關鍵詞:離散事件模擬基因演算法CONWIP半導體封裝廠
外文關鍵詞:CONWIPSemi-conductor packaging plantGenetic AlgorithmsDiscrete-event Simulation
相關次數:
  • 被引用被引用:24
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  • 下載下載:162
  • 收藏至我的研究室書目清單書目收藏:2
良好的生產系統不但可以增加有效產出及提昇服務水準(Service Level),同時也能降低在製品(WIP)與週期時間(Cycle Time)。CONWIP (Constant Work-In-Process)生產系統為一結合推式與拉式系統運作邏輯之生產架構,並同時兼具推式與拉式系統之優點,但是當生產線較長時,較不易掌握在製品分布情形,此外,若某一製程發生長時間當機,會造成WIP集中堆積。因此若能將IC封裝廠生產線切成適當數目的小CONWIP (Multi-CONWIP),將能夠改善上述問題。本研究將結合基因演算法(Genetic Algorithms)和離散事件模擬(Discrete- Event Simulation),探討如何在一生產情形為隨機(Stochastic)狀態且生產多種產品之組裝線中,找出最佳之CONWIP數目及其在製品負荷上限(WIP cap),以決定最佳之CONWIP架構,藉此達成降低在製品量並提昇服務水準之目的。並以一半導體封裝廠為例來驗證本研究方法之有效性。
A good production system can not only increase the Throughput and Service Level but also decrease the Work-In-Process (WIP) and Cycle Time. CONWIP (Constant Work-In-Process) production system is a production structure which is integrated with the logics of Push system and Pull system, and share the advantages of this two systems. However, it is not easy to know the distribution of Work-In-Process if the number of process of production line is large. Moreover, the WIP will pile up in front of the process which has been down for a long time. The above-mentioned problems can be solved by cutting the whole production line into a suitable number of CONWIP. This research is combining genetic algorithms (GA) with discrete-event simulation to search the most suitable number of CONWIP and its WIP cap to decrease the amount of WIP and increase the Service Level in a stochastic and multi-product assembly line. This research verifies the effectiveness of research methods by a case study of an semi-conductor packaging plant.
目 錄
中文摘要 i
英文摘要 ii
誌 謝 iii
目 錄 iv
圖 目 錄 vii
表 目 錄 viii

第一章 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 1
1.3 研究範圍、方法與流程 2
1.4 論文架構 4

第二章 文獻探討 5
2.1 封裝製程簡介 5
2.2 推式與拉式生產系統 7
2.2.1 推式生產系統 8
2.2.2 拉式生產系統 8
2.3 CONWIP(Constant Work-In-Process)生產系統 10

第三章 模式建構 20
3.1 CONWIP生產系統之基因定義 21
3.2 CONWIP生產系統應用於多產品環境 22
3.3 產能規劃與改機設定 23
3.3.1 產能規劃 23
3.3.2 改機設定 27
3.4 在製品水準之設定 28
3.5 資料蒐集與研究假設 29
3.6 衡量指標 30

第四章 實例應用 31
4.1 案例敘述與假設 31
4.1.1 基因定義 31
4.1.2 產品權重分配 32
4.1.3 在製品水準之設定 33
4.1.4 資料蒐集 34
4.2 參數設定 35
4.3 實驗設計 37
4.4 結果分析 38

第五章 結論與建議 48
5.1 結論 48
5.2 未來研究建議 49
參考文獻 51
附錄A X公司生產流程與機台資料 54
附錄B 方法一之產出情形 55
附錄C 方法二之產出情形 61
附錄D 模擬模式程式碼 66
曾珞萍,以反應曲面法尋求多目標模擬模式之最佳解-以半導體封裝廠印字區為例,國立成功大學製造工程研究所,碩士論文,民國89年。

楊君威,利用離散事件模擬方法求解即時性產能規劃問題-以半導體封裝廠封膠區為例,國立成功大學製造工程研究所,碩士論文,民國90年。

鄭書豪,CONWIP生產管制架構於IC封裝產業之應用,國立清華大學工業工程研究所,碩士論文,民國87年。

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