臺灣博碩士論文加值系統

本研究探討整合多樣產品生產之不完美重工後多次配送的最佳生產週期與配送策略與機器含當機與不完美重工後多次配送之最佳生產時間。假設在不完美的生產過程中，將不良品當中無法進行重工修復的進行報廢，之後將可重工的不良品進行修復，修復過程中仍會有不良品，將重工失敗品亦列為報廢品。為了更符合實際情況，本研究將傳統EPQ模型的連續配送假更改為多次配送，之後針對此問題建立數學模式。
本研究針對上述假設建立了兩種數學模式：(1)在不良品不完美重工修復後，進行多樣產品多次配送並包含顧客端持有存貨之最佳生產週期與配送次數策略；(2)假設生產中機器具隨機性當機的機會，以AR(abort/resume)作為機器維修後的處理方式，即當機器維修完成後繼續先前未完成之生產程序，在不完美重工後，進行多次配送，在此生產過程中包含隨機當機程序的情況下探討最佳生產時間。最後針對此兩種數學模式提出數值實例來加以驗證，並且針對參數值做敏感度分析，期望本研究的數學模式能夠符合實際情況，以提供業界作為決策之參考。

This study determines the common cycle run time and multi-delivery policy for a multi-item manufacturing system with failure in rework, and the production run time for a system with machine breakdowns and imperfect rework. Accordingly, this research has established two mathematical models: (1) for a multi-item manufacturing system with failure in rework and multi-deliveries under rotation cycle policy; (2) for a production system with stochastic machine breakdown which follows the Poisson probability distribution.
Mathematical modeling and analyses are used for solving both models. As the results, the optimal production cycle time and number of deliveries are obtained for model 1, and the optimal production time is derived using a search algorithm. Numerical example with sensitivity analyses are given to demonstrate practical usages of our obtained results.

目錄
中文摘要 I
Abstract II
誌謝 III
目錄 IV
表目錄 VII
圖目錄 VIII
第一章 緒論 1
1.1 研究動機與目的 1
1.2 研究範圍界定與假設 2
1.3 研究方法 4
1.4 研究流程與架構 5
第二章 文獻探討 7
2.1 多次配送之相關文獻 8
2.2 多樣產品之相關文獻 11
2.3 不良品重工與報廢之相關文獻 13
2.4 當機之相關文獻 16
第三章 模式的建立與推導 19
3.1 模式一建構 19
3.1.1 問題描述 19
3.1.2 符號說明 19
3.1.3 模式一假設與推導 22
3.2 模式二建構 28
3.2.1 問題描述 28
3.2.2 符號說明 29
3.2.3 模式建立 32
3.2.4 情況一假設與推導 33
3.2.5 情況二假設與推導 38
3.2.6 整合情況一與情況二 43
第四章 實例驗證與敏感度分析 45
4.1 模式一實例驗證與敏感度分析 46
4.2模式一數值分析與比較 53
4.2.1模式一多樣產品設備使用率 54
4.3 模式二實例驗證與敏感度分析 55
4.3.1 判斷模式二是否存在極小值 56
4.3.2最佳生產時間的搜尋 57
4.3.3敏感度分析 57
4.4 模式二數值分析與比較 60
第五章 結論與未來研究方向 64
5.1 模式一之分析結論 64
5.2 模式二之分析結論 64
5.3 本研究模式之貢獻 67
5.3.1模式一之貢獻 67
5.3.2 模式二之貢獻 67
5.4 未來研究方向 68
參考文獻 69
【附錄A】模式一製造端多次配送之存貨成本公式推導 A-1
【附錄B】模式一公式推導過程 B-1
【附錄C】模式二情況一生產過程發生當機之公式推導過程 B-1
【附錄D】模式二情況二生產過程未發生當機之公式推導 D-1
【附錄E】模式二整合公式過程推導 E-1
表目錄
表1-1 基本假設表 3
表2-1 本研究主要文獻探討比較表 18
表3-1 模式一參數符號表 20
表3-2 模式二參數符號表 29
表4-1 模式一與模式二之敏感度分析事項表 45
表4-2 模式一基本假設數據表 46
表4-3 模式一與其他學者研究之差異比較 53
表4-4 模式二基本假設數據表 55
表4-5 二次微分大於零判斷式 56
表4-6 最佳生產時間搜尋表 57
表4-7 模式二與其他學者研究之差異比較 60
表5-1週期成本比較表(維修成本與當機次數增加) 66
表5-2生產過程未當機實際上卻發生當機之成本比較表 67
圖目錄
圖1-1 研究流程與架構圖 6
圖3-1 模式一製造端良品之存貨圖 23
圖3-2 模式一製造端不良品存貨圖 24
圖3-3 模式一製造端報廢品存貨圖 25
圖3-4 模式一顧客端多樣產品存貨圖 26
圖3-5 當機模式之研究流程圖 33
圖3-6 生產過程含當機之良品存貨圖 34
圖3-7 生產過程中含當機之不良品存貨圖 36
圖3-8 生產過程中含當機之報廢品存貨圖 36
圖3-9 生產過程中未發生當機之良品存貨圖(學者Chiu[7]) 38
圖3-10 生產過程中未發生當機之不良品存貨圖(學者Chiu[7]) 40
圖3-11 生產過程中未發生當機之報廢品存貨圖(學者Chiu[7]) 41
圖4-1 配送次數決策之研究流程圖 48
圖4-2 生產週期與配送次數之關係團 49
圖4-3 模式一配送次數與各項成本關係圖 49
圖4-4 模式一生產週期與各項成本關係圖 50
圖4-5 模式一平均不良品率與各項成本之關係圖 51
圖4-6 模式一平均不良品率與各樣產品期望總成本之關係圖 52
圖4-7 期望年總成本之各項成本比例圖 52
圖4-8 在不同情況下品質成本之比較圖 54
圖4-9 當機時間間隔與期望週期成本之關係圖(不良率固定) 58
圖4-10當機時間間隔與期望週期成本之關係圖(報廢率固定) 59
圖4-11報廢率與期望週期成本之關係圖(不良率固定) 59
圖4-12不良率與期望週期成本之關係圖(報廢率固定) 60
圖4-13 生產過程無當機與模式二之成本比較圖 61
圖4-14 生產過程無當機與模式二之期望週期總成本之比較圖 62
圖4-15 學者Chiu研究與模式二之成本之比較圖 63
圖4-16 學者Chiu研究與模式二之期望週期總成本之比較圖 63
圖5-1 兩種模式之不良品對期望總成本之關係圖 65
圖5-2 生產過程無發生當機與模式二AR策略之關係圖 66

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