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研究生:李家葦
研究生(外文):Chia-wei Li
論文名稱:碳補償政策下隨存貨數量有關之退化性存貨模式
論文名稱(外文):The deteriorating inventory model with stock-dependent demand and carbon offsetting policy
指導教授:戴忠淵戴忠淵引用關係
學位類別:碩士
校院名稱:樹德科技大學
系所名稱:經營管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:28
中文關鍵詞:存貨有關需求,退化性產品,碳排放
外文關鍵詞:InventoryStock-dependent demandDeteriorationCarbon emissions
相關次數:
  • 被引用被引用:1
  • 點閱點閱:142
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
有鑒於氣候變遷與全球暖化日益嚴重,環境保護議題也越來越受到各界的重視。世界上 許多國家都開始制定碳排放限制法規以減緩及預防生態系統日趨惡化。因此,企業若能 在現階段籌劃好碳管理策略,將使得企業在未來朝低碳經濟轉型趨勢中占有優勢。本研 究擬提出在政府不同碳排放管理政策下,退化性商品在考量需求率隨存貨數量影響下下 允許缺貨之最適訂購策略。在一些的簡單假設條件成立下,我們首先將證明在總量管制 及碳排放交易制度下,零售商的平均利潤函數存在唯一的最佳解。接下來,我們將利用 上述證明所求得的性質,並利用最佳化理論的原理分別證明在碳補償政策下依然存在唯 一最佳解。最後,我們也將利用數值範例說明求解過程及驗證模式之合理性及實用性。

Nowadays, environmental protection issues have received more and more attention due to climate change and global warming. In order to slow down the process and prevent it from deteriorating ecological system, many countries around the world have implemented carbon emission regulations to curb the greenhouse gas emissions. Businesses taking strategic approaches to carbon management now will gain imme- diate business benefits in the future. In this paper we develop a carbon-constrained deteriorating inventory model when inventory stimulates demand. Starting with some mild assumptions, we first characterize the profit maximizing inventory re- plenishment strategy under the Carbon Cap-and-Trade policy, and then make some extensions to the model with the Carbon Offset policy. Finally, a numerical ex- ample and sensitivity analysis are presented to illustrate the theoretical results and obtain

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1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1


2 Notation and Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . 6


2.1 Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6


2.2 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7


3 The model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8


4 Numerical Example and Sensitivity Analysis . . . . . . . . . . . . . . . . . 11


5 Concluding remarks and future work . . . . . . . . . . . . . .


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