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研究生:陳逸洋
研究生(外文):Yi-Yang Chen
論文名稱:生產/再製造存貨模型中之最佳回收努力值策略
論文名稱(外文):An Optimal Recycling Sales Effort Strategy in a Production/Remanufacturing Inventory Model
指導教授:陳振明陳振明引用關係
指導教授(外文):Jen-Ming Chen
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:2016
畢業學年度:104
語文別:中文
論文頁數:83
中文關鍵詞:逆物流再製造努力值
外文關鍵詞:Reverse LogisticsRemanufacturingSales effort
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  二十一世紀,隨著環保意識抬頭,製造業為了減少汙染並負起企業責任,逐漸重視再製造技術。另一方面,再製造充分利用淘汰之舊物,開源節流以降低生產成本,是製造業者應具備的關鍵技術。故如何宣導以增加消費者使用後的回收率,並投資相關設備提升再製造技術以增加回收後的使用率,已成製造業相當重要的研究議題。
  本研究依據Dobos and Richter(2003)所提出的生產/再製造物質流模型作為研究背景,將再製造流程分為生產、成品存貨、市場、回收存貨、再製造、廢棄六部分。假設決策者必需付諸一努力值以提升市場回收率,亦需付諸一努力值以提升回收後之使用率,故這兩個努力值會分別對應出一回收率函數與一使用率函數。
  另外,就製造商角度而言,由於付諸之努力值本身亦為一種成本,但付諸不同的努力值組合後會對應到不同的總成本,某些策略組合在付諸努力值後之總成本會低於未付諸努力值之總成本,故本研究探討在經濟訂購量型式之逆物流模型中,何種努力值策略下會對應到最低之總成本,當參數給定後,可透過Java求解或Matlab立體成本繪圖,成功找到需要付諸努力值的情境。

  With the rise of environmental awareness in the twenty-first century, manufacturing order to reduce pollution and assume corporate responsibility, remanufacturing has aroused much attention of the company. On the other hand, remanufacturing make the best use of the returned items, open up the source and regulate the flow to reduce manufacturing cost, which is the critical technology that manufacturer should have. So how to encourage the consumer to enhance the return rate and invest related equipment to enhance the use rate has become a very important research topic for the manufacturing business.
  This research mainly takes Dobos and Richter (2003) “the material flow in the model in a production and recycling cycle” as background, which separated the process of remanufacturing into six parts: production, serviceable stock, market, non-serviceable stock, recycling and disposal. Assume that the decision maker should give a sales effort to improve the return rate and also give a sales effort to improve the use rate, as a result, these two sales effort will correspond to the return rate function and the use rate function respectively.
  Furthermore, in the view of manufacturing, sales effort are also kinds of cost. But different combinations of sales effort will correspond to different total cost. Some of the sales effort strategies will get a lower total cost after giving the sales effort. Therefore, this research also discuss what kind of sales effort strategies will correspond to the lowest total cost under a deterministic EOQ-type reverse logistic model. When the parameters are determined, we can successfully find out the situation which needs sales effort by Java or Matlab 3D graphics.

中文摘要 i
Abstract ii
目錄 iii
圖目錄 v
表目錄 vii
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 3
1-4 研究架構 3
第二章 文獻回顧 5
2-1 生產/再製造物質流模型 5
2-2 再製造 8
2-3 逆物流 9
2-4 努力值 10
第三章 模型建立 11
3-1 情境描述 11
3-2 模型假設 16
3-2-1 基本假設 16
3-2-2 符號說明 16
3-3 模型建構 18
3-3-1 成本計算-先不考慮努力值 18
3-3-2 成本計算-考慮努力值 20
第四章 模型分析 28
4-1 努力值分析演算法 28
4-2 各項成本變動關係 31
4-2-1 區分參數情境 31
4-2-2 各項成本變動關係 33
4-3 符合情境一之參數設定 35
4-4 決策變數與參數間的關係 38
4-4-1有限制決策變數 38
4-4-2 無限制決策變數 40
4-5 敏感度分析 43
第五章 結論與未來研究方向 49
5-1 結論 49
5-2 研究貢獻 50
5-3 未來研究方向 50
參考文獻 51
附錄一:方程式推導 54
附錄二:模型具有最佳解之證明 56
附錄三:決策變數與參數關係驗證─有限制決策變數 57
附錄四:決策變數與參數關係驗證─無限制決策變數 61
附錄五:目標式與參數關係驗證 68
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