臺灣博碩士論文加值系統

　　本研究在整合探討供應商與多個顧客在含部分報廢部分可重工修復之生產系統的(n+1)次配送與整合多樣產品生產含重工修復並多次配送的最佳生產與配送策略。假設在不完美的生產過程下，會先將沒辦法再重工修復的瑕疵品先行報廢，剩下可以重工修復的瑕疵品再予以完美重工修復。為了符合現實情況，故本研究將傳統EPQ模型的連續配送假設為(n+1)次配送及多次配送。
　　本研究針對上述假設建立了兩種數學模式：(1)在正常生產時間內先行一次配送，待部分瑕疵品重工修復後，在進行多次配送給多個顧客並包含多個顧客端持有存貨之最佳生產批量及配送次數策略；(2)在瑕疵品重工修復後，將多樣產品多次配送並包含顧客端持有存貨之最佳週期時間及配送次數之策略。最後提出數值實例來加以驗證，並對參數值做敏感度的分析，並期望本研究的數學模式能夠應用在實務的情況上，提供業界作為決策參考之依據。

　　This thesis studies the optimal production-delivery decisions for an integrated system with multiple buyers, partial rework-able items and (n+1) deliveries, and for a multi-item manufacturing system with rework process and multi-deliveries. It is assumed the production process is not perfect, a portion of defective items is scrap and the remaining can be reworked and repaired. In order to conform to the realities, instead of using the traditional (EPQ model''s) continuous distribution, this study assumes a (n+1) delivery policy.
　　This research has established two mathematical models: (1) (n+1) deliveries to multiple buyers with imperfect production; (2) multi-item deliveries to single buyers under rotation cycle policy in a supply chain environment. Optimal lot size and best delivery policy is derived for Model 1. Optimal production cycle time and number of deliveries is obtained for Model 2. Finally, a numerical example with sensitivity analysis is provided to verify the research results. It can be used in practical situations in industry as a basis for decision making.

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 研究步驟與架構 4
第二章 文獻探討 6
2.1 多個顧客之相關文獻探討 7
2.2 多次配送之相關文獻探討 9
2.3 瑕疵品重工修復與報廢之相關文獻探討 　11
2.4 多樣產品之相關文獻探討 14
第三章 建構模式一與模式二之最佳化決策 18
3.1 模式一建構 18
3.1.1問題描述 18
3.1.2符號說明與假設 19
3.1.3模式一推導 21
3.2 模式二建構 26
3.2.1問題描述 26
3.2.2符號說明與假設 26
3.2.3模式二推導 28
第四章 實例驗證與敏感度分析 33
4.1 模式一實例驗證與敏感度分析　34
4.2 模式一數值分析與比較 41
4.2.1模式一與n次配送模式之配送策略比較 　41
4.2.2探討模式一n+1次配送之決策 49
4.3 模式二實例驗證與敏感度分析 53
4.4 探討模式二多樣產品佔線率 59
第五章 結論與未來研究方向 60
5.1 模式分析之結論 61
5.1.1模式一之結論 61
5.1.2模式二之結論 62
5.2 兩研究模式對產業之貢獻 63
5.2.1模式一之貢獻 63
5.2.2模式二之貢獻 63
5.3 未來研究方向 64
參考文獻 65
附錄 71
【附錄A】模式一製造端(n+1)次配送之存貨成本公式推導　A-1
【附錄B】模式一之顧客端存貨持有成本公式推導 B-1
【附錄C】模式一(n+1)次配送之公式推導 C-1
【附錄D】模式二製造端n次配送之第i樣存貨成本公式推導　D-1
【附錄E】模式二n次配送之公式推導 E-1
【附錄F】延伸探討-比例週期生產策略 F-1

表目錄
表1-1 基本假設表 3
表2-1a本研究主要文獻探討比較表 16
表2-1b本研究主要文獻探討比較表 17
表3-1 模式一參數符號表 19
表3-2 模式二所增加之參數符號表 27
表4-1 模式一與模式二之敏感度分析事項表 33
表4-2 模式一實例基本數據假設表 34
表4-3 模式一分析事項表 42
表4-4 兩模式各項相關成本之比較表 48
表4-5 兩模式期望年總成本之比較表 49
表4-6 模式二實例基本數據假設表 54
表4-7 多樣產品佔線率之數據假設表 59
表5-1 模式一與先前研究不含生產成本之總成本比較表　61
表5-2 模式一製造端產品配送決策表 62
表F-1 多樣產品數據假設表 F-1

圖目錄
圖1-1 研究流程與架構圖 5
圖3-1 模式一製造端(n+1)次配送良品之存貨圖　22
圖3-2 模式一製造端瑕疵品存貨圖 24
圖3-3 模式一製造端報廢品存貨圖 24
圖3-4 模式二之供應鏈圖 26
圖3-5 模式二製造端多樣產品存貨圖 29
圖3-6 模式二製造端多樣產品之不良品存貨圖　30
圖3-7 模式二顧客端多樣產品之良品存貨圖　32
圖4-1 模式一配送次數n之整數決策過程 36
圖4-2 模式一配送次數與各項成本關係圖 37
圖4-3 模式一生產批量與各項成本關係圖 38
圖4-4 模式一不良率與各項成本關係圖 38
圖4-5 模式一不良率與最佳生產批量關係圖 39
圖4-6 模式一不良率、報廢率與最佳期望年總成本關係圖 39
圖4-7 模式一不良率、報廢率與最佳生產批量曲面圖 40
圖4-8 模式一不良率、報廢率與最佳期望年總成本曲面圖 40
圖4-9 模式一最佳生產批量、配送次數與期望年總成本曲面圖 41
圖4-10 兩模式n次配送前先配送一次之期望總成本比較圖 42
圖4-11 兩模式n次配送前先配送一次之各相關成本比較圖 43
圖4-12 兩模式總配送次數相等之期望年總成本比較圖 44
圖4-13 兩模式總配送次數相等之各相關成本比較圖 44
圖4-14 兩模式各自最佳解之總持有成本比較圖 45
圖4-15 兩模式各自最佳解之總運送成本比較圖 46
圖4-16 兩模式各自最佳解之期望年總成本比較圖 46
圖4-17 兩模式各自最佳解之各項成本比較圖 47
圖4-18 兩模式不同配送次數不含生產成本之總成本比較圖 48
圖4-19 供應鏈環境下之配送決策圖 50
圖4-20 模式一顧客數與期望年總成本關係圖 50
圖4-21 模式一顧客數與配送次數之關係圖 51
圖4-22 模式一平均固定運送成本與期望年總成本關係圖 52
圖4-23 模式一製造端配送決策分析圖 53
圖4-24 模式二配送次數與各項成本關係圖 55
圖4-25 模式二週期時間與各項成本關係圖 56
圖4-26 模式二平均不良率與各項成本關係圖 57
圖4-27 模式二平均不良率與各產品最佳生產批量之關係圖 57
圖4-28 模式二平均不良率與各產品期望年總成本之關係圖 58
圖4-29 模式二週期時間、配送次數與期望總成本之曲面圖 58
圖5-1 (n+1)次配送與n次配送存貨模型比較圖 60
圖5-2 傳統EPQ模型生產圖示 62

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