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研究生:王尹品
研究生(外文):Yin-Pin Wang
論文名稱:逆物流系統之最佳努力值,再製數量與回收率
論文名稱(外文):Optimal tradeoff between recycling rate, remanufacturing quantities and collection effort in a reverse logistic system
指導教授:陳振明陳振明引用關係
學位類別:碩士
校院名稱:國立中央大學
系所名稱:工業管理研究所
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:37
中文關鍵詞:回收率再製品數量努力值再製造
外文關鍵詞:remanufacturingeffortremanufacturing qualityrecycling rate
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由於現今的自然資源條件,再製造流程是各國強力發展的重點,在代替能源的發展下,再製造可以同時達到保育環境及經濟效應的目的,因此再製造技術皆廣泛的運用在全世界。由於再製造工程已成為許多公司必要發展之項目,因此整個逆物流流程裡之決策因子便相當重要,公司對於投入逆物流系統之成本和回收系統之回收流程皆是影響物流系統之重要因子。
本篇研究主要以Ferrer & Swaminathan ( 2006 ) 之單一製造商之逆物流系統做延伸,以動態期數觀察回收率、努力值和再製品數量對於整個物流系統之影響,回收率之大小皆反映在努力值及再製品數量上:回收率和努力值及再製品數量皆呈現正向關係,因此本篇研究利用回收率及努力值和回收率及再製數量之間的關係表達成數學式,導入動態規劃進行運算,來決定每期之最佳回收率,連帶的了解何者之努力值和再製數量對於系統之利潤為最好。
Owing to limited environment resources in the whole world nowadays, remanufacturing process has been a blooming development that many countries emphasis on. By developing remanufacturing, people can protect environment and bring economic profits for companies in the mean time. Therefore remanufacturing process has been one of the necessary developments which as a strategy in a company. In this way, decision factors are the most important elements for the whole reverse system.
This research mainly takes Ferrer & Swaminathan’s Managing New and Remanufactured Products as background and focus on monopoly environment in two periods. Moreover the target of this study is to observe that how recycling rate, effort and remanufacturing change in the reverse system. Firstly, we apply dynamic programming into the mathematical model. Secondly, this research takes the relation of recycling rate, effort and remanufacturing into account. The profit would change as recycling rate, effort and remanufacturing quality changing.
中文摘要 I
英文摘要 II
目錄 III
圖目錄 V
表目錄 VI
第一章 緒論 1
1.1 研究動機 1
1.2 研究背景 2
1.3 研究目的 4
1.4 研究架構 5
第二章 文獻探討 7
2.1 再製造 7
2.2 努力值 8
2.3 回收率 10
第三章 模型建構 12
3.1 情境描述 12
3.2 模型基本假設 13
3.3 探討逆物流模型之最佳化 16
3.3.1 固定條件下,探討逆物流系統之最佳回收率 16
3.3.2 模型求解 20
第四章 數值分析 24
4.1参數設計 24
4.2敏感度分析 26
4.2.1 製造數量 27
4.2.2 再製成本 29
4.2.3 交叉彈性係數 31
第五章 結論及未來研究方向 32
5.1 結論 32
5.2 未來研究方向 33
參考文獻 34

圖目錄
圖1-1 論文架構圖 6
圖3-1 逆物流再製造結構圖 12
圖4-1 案例一及案例二之第二期製造數量對整體利潤之參數分析 27
圖4-2 案例三及案例四之第二期製造數量對整體利潤之參數分析 28
圖4-3 案例一至案例四之再製成本對整體利潤之參數分析 30
圖4-4 案例一至案例四之努力值成本之交叉彈性係數對整體利潤之參數分析 31

表目錄
表 3-1 符號定義 14
表 3-2 情境設定 15
表 3-4 案例二之決策變數通式 21
表 3-5 案例三之決策變數通式 21
表 3-6 案例四之決策變數通式 21
表 3-7 案例五之決策變數通式 21
表 3-8 案例六之決策變數通式 22
表 3-9 案例七之決策變數通式 22
表 3-10案例八之決策變數通式 22
表 3-11案例九之決策變數通式 22
表 3-12案例十之決策變數通式 22
表 3-13逆物流回收系統之情境 23
表 4-1 參數設定 24
表 4-2 案例一及案例二數值分析結果 25
表 4-3 案例三及案例四數值分析結果 26
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