運用Fuzzy ART於以序列形態為基礎之

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任樹菁(Shu-Jing Ren) 查詢紙本館藏

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工業管理研究所

論文名稱

運用Fuzzy ART於以序列形態為基礎之

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摘要(中)

本研究的目的，是要發展出能夠有效劃分產品間序列形態之方法，以作為機器佈置時的基礎。運用改良後的類神經網路「模糊自適共振理論（Fuzzy Adaptive Resonance Theory，簡稱為Fuzzy ART）」作為序列形態劃分之工具。當產品的部分加工作業程序與其它產品的部分加工作業程序達到某一程度的相似時，則將這些相似的作業程序視為一個序列形態。當所有的序列形態皆劃分完畢後，則將所有序列形態內之機器作一有效的排列，或必要時將一些例外機器加入序列形態中，確立所有次要單元之元素。由於各機器型態所需提供之機器數量是由所有次要單元決定，所以，增加了機器佈置彈性，進而達到低成本、高彈性的生產資源分配。
本研究使用Borland C??撰寫程式，建立機器相關矩陣、進行Fuzzy ART序列形態辨識工作、完成衡量評估計算。透過程式執行與衡量方法運用進而驗證本研究所發展的『運用Fuzzy ART於以序列形態為基礎的機器佈置』能提升生產績效，優於Ho與Moodie（1994）。此外，並針對演算法中參數的設定範圍進行研究，並提出最適範圍之建議，有助爾後應用上參數之選擇。

關鍵字(中)

★ 機器佈置
★ 序列形態

關鍵字(英)

★ Fuzzy ART

論文目次

目錄
論文摘要內容:1
目錄3
圖目錄6
表目錄7
第一章　緒　論8
1.1研究背景及動機8
1.2研究目的13
1.3研究環境及假設14
1.4研究方法與論文架構14
第二章　文獻回顧與探討17
2.1機器佈置之模式17
2.2機器佈置求解之方法19
2.3以序列形態為基礎之機器佈置23
第三章　序列形態成形法26
3.1 HO與MOODIE(1994)之演算法簡介26
3.1.1 HO與MOODIE（1994）之演算法26
3.1.2 HO與MOODIE（1994）演算法之修正29
3.2 FUZZY ART序列形態辨識方法30
3.2.1 類神經網路與模糊系統30
3.2.2 FUZZY ART基本原理32
3.2.3機器關係矩陣33
3.2.4 限制條件37
3.2.5 FUZZY ART運算流程38
3.3 序列形態成形法41
第一階段：原始資料轉換成機器關係矩陣42
第二階段：進行FUZZY ART形態辨識42
第三階段：例外元素之安排43
3.3.1範例44
第四章衡量指標49
4.1 衡量係數49
4.2範例50
第五章實例驗證與比較52
5.1 實驗設計52
5.1.1實驗一52
5.1.2實驗二54
5.2實驗結果與分析56
5.2.1實驗一56
5.2.2實驗二59
第六章結論與建議64
6.1 研究結論64
6.2 研究建議65
參考文獻67
附錄一70
關係矩陣轉換範例演算70
附錄二74
改良的FUZZY ART範例演算74
附錄三79
實驗一之問題檔79

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指導教授

何應欽(Ying-Chin Ho)

審核日期

2000-7-3

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