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研究生:溫盛皓
研究生(外文):Sheng-Hao Wen
論文名稱:次級市場於供應鏈獲利模式之探討
論文名稱(外文):The Study of Returns Profits for Supply Chains with Secondary Markets
指導教授:謝焸君謝焸君引用關係
學位類別:碩士
校院名稱:國立中興大學
系所名稱:科技管理研究所
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
畢業學年度:96
語文別:英文
論文頁數:44
中文關鍵詞:逆向物流綠色供應鏈次級市場
外文關鍵詞:Reverse logisticsGreen supply chainsSecondary market
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Business logistics is a significant part for businesses. Reverse logistics becomes a major issue in the 21th century, and more and more companies pay attention to it. The common goal for most enterprises is to maximize its profit. And the way to achieve this goal is by cost minimization or by sales maximization.
From the perspective of green supply chains, the consuming electronic products currently are plagued with highly uncertain demands. Customer return products to the retailer when they bought the wrong goods or the defect goods, then returns to the manufacturer by the 3PL providers. Finally, the manufacturer repackages at the original market or resells returns at the secondary market.
A system framework and model of returns policy for supply chain with the secondary market are put forward. This study is to investigate the optimal returns profits for whole supply chain including the manufacturer, distributor and secondary market. Through the simulation analysis, the outcome of two models with and without the secondary market are evaluated and compared as well.
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Objective 1

Chapter 2 Literature Review 3
2.1 Supply chain management 3
2.2 Green supply chain management 5
2.3 Reverse logistics 6
2.4 Secondary market 12
2.5 Return policy 14

Chapter 3 Proposed model for the product returns 16
3.1 Product returns 16
3.2 Proposed model 17
3.2.1 The basic model with no secondary market:Model 1 19
3.3 The model with the secondary market:Model 2 22
3.3.1 Optimal distributor expected profit 23
3.3.2 Optimal manufacturer expected profit 25
3.3.3 Optimal supply chain expected profit 27
3.4 Improve model responsiveness 28

Chapter 4 Numerical studies 30
4.1 Numerical examples 30
4.2 Sensitivity analysis 34
4.3 Results and discussion 34

Chapter 5 Conclusions 38
5.1 Managerial implications 38
5.2 Conclusions 38
5.3 Future research 40

References 41
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