臺灣博碩士論文加值系統

近年來，工業技術發展快速，產業競爭激烈。台灣製造業為了提高競爭力，為了降低生產成本，提高產品品質，彈性製造系統(Flexible Manufacturing System, FMS)與電腦整合製造系統(Computer Integrated Manufacturing System, CIMS)將變成主流，在製造系統中自動化物料搬運系統(Automated Material Handling System, AMHS) 林[1]在物流控制上非常重要。無人搬運車系統(Automation Guided Vehicle System, AGVS)是其中一樣設備，無人搬運車系統研究一般分為五部份：(1)最佳車輛數目的決定，(2)導向路逕方向的決定，(3)搬運車調派方式的安排，(4)交通流控制，(5)系統整合。
但是工廠高階主管對這些研究不見得熟悉，本文希望定義無人搬運車系統的關鍵績效指標(Key Performance Indicator, KPI)，才能讓工廠高階主管易於管理，也藉由分析關鍵績效指標不良的原因來得到改善的方向，再使用定義(define)、量測(measure)、分析(analysis)、改善(improve)與控制(control)簡稱DMAIC的手法來分析無人搬運車系統的問題並加以改善 。

Recently, industry technology has developed rapidly. And competition has been raising. In order to achieve high productivity, decrease production cost, and improve product quality, flexible manufacturing system(FMS) and computer integrated manufacturing system(CIMS) will become the mainstream. In the manufacturing systems, automated material handling system(AMHS) plays an important role to control material flow. Automation guided vehicle system(AGVS) is a major equipment among all AMHSs. In general, the researches in AGVS are classified into 5 categories: (1)the optimum of vehicle numbers, (2)the decision of guide path direction, (3)the arrangement of vehicle dispatch logic, (4)traffic flow control, and (5)system combination.
However since the high position managers of the factory are not surely familiar with the related researches, this paper would propose some key performance indicators(KPI) for AGVS for the high position managers to be able to manage the efficiency of the production line easily through using these indicators.
By analyzing the main factors which cause the poor KPI, we can find the way to raise KPI. Finally, the DMAIC(define, measure, analysis, improve, control) method will be employed to analysis and locate the problems encountered in the AGVS, and the improvement will be accomplished at the last.

目錄
誌謝 I
中文摘要 II
英文摘要 III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章 緒論 1
1.1自動化物料搬運系統介紹 1
1.2 無人搬運車系統介紹 2
1.3 研究動機 3
第二章 文獻探討 5
2.1最佳車輛數目的決定 5
2.2導向路逕方向的決定 5
2.3搬運車調派方式的安排 6
2.4交通流控制 8
2.5系統整合 9
第三章 無人搬運車系統模型 10
3.1 無人搬運車系統軌道佈置 10
3.2 無人搬運車本體 14
第四章 無人搬運車系統關鍵績效指標與改善 19
4.1 定義(Define)關鍵績效指標 19
4.2 量測(Measure) 20
4.3 分析(Analysis) 21
4.4 改善(Improve) 23
4.5 控制(Control) 32
第五章 數據分析 33
5.1改善Lead_Time與Cycle_Time數據分析 33
5.1.1 建立Lead_Time假設檢定 35
5.1.2 建立Cycle_Time假設檢定 38
5.2改善MTBF與週期間平均修復時間的數據分析 40
5.2.1 MTBF分析 41
5.2.2週期間平均修復時間分析 46
第六章 結論 49
參考文獻 50
附錄A AAAGV200 2005年11月至2006年4月傳送數據 52

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