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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58802
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor郭瑞祥(Ruey-Shan Guo)
dc.contributor.authorSHAO-PENG CHENen
dc.contributor.author陳紹鵬zh_TW
dc.date.accessioned2021-06-16T08:31:51Z-
dc.date.available2014-03-08
dc.date.copyright2014-03-08
dc.date.issued2013
dc.date.submitted2013-12-18
dc.identifier.citation1. Andel, T., and Iichlmayr, M (2002). Turing returns into cash.Transportation and Distribution, 43(8), 28-38.
2. Blackburn, J. D., Guide, V. D. R., Souza, G. C., & Wassenhove, L. N. V. (2004). Reverse supply chains for commercial returns. California Management Review, 46(2), 6-23.
3. Canon Inc. (1998). Annual corporate environmental report.
4. Carter, C. R., & Ellram, L. M. (1998). Reverse logistics: A review of the literature and framework for future investigation. Journal of Business Logistics, 19(1), 85-102.
5. Fisher, M. L. (1997). What is the right supply chain for your product. Harvard Business Review, 75(2), 105-116.
6. Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., Laan, E. v. d., Nunen, J. A. E. E. v., & Wassenhove, L. N. v. (1997). Quantitative models for reverse logistics: A review. European Journal of Operational Research, 103(1), 1-17.
7. Fleischmann, M., Krikke, H. R., Dekker, R., & Flapper, S. D. P. (2000). A characterisation of logistics networks for product recovery. Omega, 28(6), 653-666.
8. Fleischmann, M. (2001). Quantitative Models for Reverse Logistics. Lecture Notes in Economics and Mathematical Systems, 501.
9. Galbreth, M. R., & Blackburn, J. D. (2010). Optimal acquisition quantities in remanufacturing with condition uncertainty. Production and Operations
Management, 19(1), 61-69.
10. Gobbi, C. (2011). Designing the reverse supply chain: the impact of the product residual value. International Journal of Physical Distribution & Logistics Management, 41(8), 768-796.
11. Guide, V. D. R., Srivastav, R. (1997). Buffering from material recovery uncertainty in a recoverable manufacturing environment. Journal of the Operational Research
Society, 48, 519-529.
12. Guide, V. D. R., Muyldermans, L., & Wassenhove, L. N. v. (2005). Hewlett-Packard company unlocks the value potential from time-sensitive returns. Interfaces, 35(4), 281-293.
13. Guide, V. D. R. (2000). Production planning and control for remanufacturing. Journal of the Operations Management, 18(4), 467–483.
14. Guide, V. D. R. & Wassenhove, L. N. V. (2001). Managing product returns for remanufacturing. Production and Operations Management, 10(2), 142-155.
15. Guide, V. D. R., Teunter, L. N. & Wassenhove, L. N. V. (2003). Matching supply and demand to maximize profits in remanufacturing. Manufacturing & Service Operations Management, 5(4), 303-316.
16. Guide, V. D. R., Souza, G. C., Wassenhove, L. N. V., Blackburn, J. D., (2006). Time value of commercial product returns. Management Science, 52(8), 1200-1214.
17. Jayaraman, V., Guide, V. D. R., & Srivastava, R. (1999). A closed-loop logistics model for remanufacturing. Journal of the Operational Research Society, 50(5), 497-508.
18. Srivastava, S. K. (2007). Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews, 9(1), 53-80.
19. Stock, J. R. (1992). Reverse Logistics. Council of Logistics Management, Oak Brook, IL.
20. Stock, J. R., Speh, T., & Shear, H. (2002). Many happy product returns. Harvard Business Review, 80(7), 16-17.
21. Tagaras, G., & Zikopoulos, C. (2008). Optimal location and value of timely sorting of used items in a remanufacturing supply chain with multiple collection sites. International Journal of Production Economics, 115(2), 424-432.
22. Thierry, M., Salomon, M., Nunen, J. V., & Wassenhove, L. N. v. (1995). Strategic issues in product recovery management. California Management Review, 37(2), 114-135.
23. Wassenhove, L. N. V., & Zikopoulos, C. (2010). On the effect of quality
overestimation in remanufacturing. International Journal of Production Research, 48(18), 5263-5280.
24. Wood, S. (2001). Remote Purchase Environments: The Influence of Return Policy Leniency on Two-Stage Decision Processes. Journal of marketing Research, 38(2), 157-169.
25. Xerox Inc. (1998). Annual corporate environmental report.
26. Zikopoulos, C., & Tagaras, G. (2007). Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation. European Journal of Operational Research, 182(1), 205-225.
27. Zikopoulos, C., & Tagaras, G. (2008). On the attractiveness of sorting before disassembly in remanufacturing. IIE Transactions, 40(3), 313-323.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58802-
dc.description.abstract由於近年來環保意識的抬頭,逆向供應鏈也受到越來越多的關注,產品製造商 除了投資在產品品質的開發,更要注意到消費者產品使用後的情形,包含售後服務、 產品回收等,都是重要的課題,而使逆物流逐漸成了研究重點。以往對於逆向供應 鏈系統設計往往以效率及成本為優先考量,但卻沒考量到產品時間價值的因素,忽 略了其中隱含的重大價值,因此注重反應速度的系統設計開始受到重視,令企業得 以發掘其中價值進而獲利。本研究之目的即為探討考慮產品時間價值及退貨再售 比率下,製造商之逆向供應鏈系統設計。
首先本研究將參考過去與逆向供應鏈系統設計相關的文獻,考慮產品價值、市 場需求、及退貨新品比率皆隨時間下降時,建構動態規劃模型以進行製造商系統選 擇與生產量決策,成本面則考量包括生產成本、重新包裝成本、額外成本、非新品 處理成本、運輸成本、庫存成本及缺貨成本,以極大化製造商利潤為目標進行求解。
最後,將各項參數以實際數字帶入進行數值分析,探討各項參數變化對於最佳 決策之影響,以提供製造商系統選擇的相關建議。本研究得到的分析結果為當產品 價值下降率及退貨新品比率下降率低時選擇「延遲」處理的系統;反之當兩者皆高 時,製造商應選擇「提前」處理的逆向供應鏈系統。
zh_TW
dc.description.abstractWith the rise of environmental awareness in recent year, reverse supply chain has been given great attention and concerns. Manufacturers not only care about investment in development of product quality, but also to note the condition of products after use. Including service or product recycle are very important issues, all of these reasons let reverse logistics become the important research topic gradually. In the past, efficiency and cost often considered as the first priority for reverse supply chain system design. But forget to consider the product value of time, ignore the significant value inside. Then the system design for speed of responsive has been development, enterprises can explore the value inside and make profit. The purpose of this research is to optimal reverse supply chain system design by considering marginal value of time and product restock rate.
First, we refer to the past literatures about reverse supply chain system design. Then build a dynamic programming model under situation of product value, market demand and new return rate decline with time to optimize manufacturers’ system choice and quantity of manufacture. Inside the objective profit functions of each scenario, produce cost, repackage cost, additional cost, handling cost, transportation cost, inventory cost and shortage cost are taken into account. In order to maximize profit for the manufacturer to solve the objective function.
Finally, numerical analysis is done. According to the results of sensitive analysis, we discuss the impact of parameters changing and have some advice to manufacturer for system choice. The results reveal that when product value decline rate and new return rate decline rate are low, “postponement” system is the best choice; And conversely, when both are high, manufacturers should choose “preponement” reverse supply chain system.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T08:31:51Z (GMT). No. of bitstreams: 1
ntu-102-R00546021-1.pdf: 1342907 bytes, checksum: dc2689a9a74f36003e6e89421678740d (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents目錄
口試委員會審定書 i
謝誌 ii
摘要 iii
Abstract iv
目錄 v
圖目錄 vii
表目錄 viii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究架構 3
1.4 論文架構 4
第二章 文獻探討 6
2.1 逆物流管理之相關研究 6
2.2 考慮產品時間價值下逆向供應鏈系統設計之相關研究 9
2.2.1 逆向供應鏈系統 9
2.2.2 產品時間價值之相關研究 11
2.3 文獻整理與評析 13
第三章 模型建構與求解 15
3.1 模型概念與運作流程 15
3.2 模型假設 17
3.3 決策模型 18
3.3.1 符號設定 18
3.3.2 數學模型 20
第四章 數值分析 22
4.1 參數設定 22
4.2 敏感度分析 23
4.2.1 個別參數敏感度分析 23
4.2.2 參數之間交互作用分析 25
4.3 小結 31
第五章 結論與建議 33
5.1 研究結論與建議 33
5.2 研究貢獻 34
5.3 研究限制 34
5.4 未來研究方向 34
參考文獻 36
圖目錄
圖 1.1 研究架構圖 4
圖 1.2 論文架構圖 5
圖 2.1 逆向供應鏈示意圖 (Fleischmann et al. 2000) 7
圖 2.2 逆物流運作方式圖 (Thierry et al., 1995) 8
圖 2.3 可回復產品再製環境系統 (Guide, 1997) 9
圖 2.4 加入檢查機制的再製造流程 (Zikopoulos & Tagaras, 2008) 11
圖 2.5 集中式逆向供應鏈系統 (Blackburn et al. 2004) 12
圖 2.6 分散式逆向供應鏈系統 (Blackburn et al. 2004) 13
圖 3.1 於工廠重新包裝退貨品流程圖 16
圖 3.2 於物流中心重新包裝退貨品流程圖 17
圖 4.1 製造商逆向供應鏈最佳系統設計圖 26
圖 4.2 選擇物流中心與工廠系統之利潤差 28
圖 4.3 選擇物流中心與工廠系統之總生產量差 30
表目錄
表 2.1 考慮產品時間價值下之逆向供應鏈系統設計研究整理表 14
表 4.1 參數設定表 23
表 4.2 額外成本敏感度分析表 24
表 4.3 產品價值下降率敏感度分析表 24
表 4.4 退貨新品率下降率敏感度分析表 25
表 4.5 物流中心與工廠系統之利潤差迴歸統計表 28
表 4.6 物流中心與工廠系統之利潤差ANOVA分析表 28
表 4.7 物流中心與工廠系統之利潤差統計檢定表 29
表 4.8 物流中心與工廠系統之總生產量差迴歸統計表 30
表 4.9 物流中心與工廠系統之總生產量差ANOVA分析表 31
表 4.10 物流中心與工廠系統之總生產量差統計檢定表 31
dc.language.isozh-TW
dc.subject產品時間價值zh_TW
dc.subject動態規劃zh_TW
dc.subject逆向供應鏈zh_TW
dc.subjectReverse supply chainen
dc.subjectProduct value of timeen
dc.subjectDynamic programmingen
dc.title考慮產品時間價值與退貨再售比率下製造商最佳逆向供應鏈系統之研究zh_TW
dc.titleAn Optimal Reverse Supply Chain System Design by Considering Marginal Value of Time and Product Restock Rateen
dc.typeThesis
dc.date.schoolyear102-1
dc.description.degree碩士
dc.contributor.coadvisor蔣明晃(Ming-Huang Chiang)
dc.contributor.oralexamcommittee吳政鴻,洪一薰
dc.subject.keyword逆向供應鏈,產品時間價值,動態規劃,zh_TW
dc.subject.keywordReverse supply chain,Product value of time,Dynamic programming,en
dc.relation.page38
dc.rights.note有償授權
dc.date.accepted2013-12-18
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工業工程學研究所zh_TW
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