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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 蔣明晃 | |
dc.contributor.author | Wei-Shiang Wang | en |
dc.contributor.author | 王威祥 | zh_TW |
dc.date.accessioned | 2021-06-08T05:01:21Z | - |
dc.date.copyright | 2011-01-17 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-12-30 | |
dc.identifier.citation | 1. Baird, I. S. & Thomas, H. (1990), “What is Risk Anyway?”, In: R.A. Bettis and H. Thomas (Editors), Risk, Strategy, and Management, JAI Press, Greenwich, CT, pp. 21–52.
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(2007), “A Closed-Form Approximation Solution for an Inventory Model with Supply Disruptions & Non-ZIO Reorder Policy”, Journal of Systemics, Cybernetics & Informatics, Vol. 5, No. 4, pp.1-12. 9. Hu, J. Q. (1995), “Production Rate Control for Failure-Prone Production Systems with No Backlog Permitted”, IEEE Transactions on Automatic Control, Vol. 40, pp. 291-295. 10. Ibaraki, T. (1981), “Solving Methodical Programming Problems with Fractional Objective Functions”, In: S. Schaible and W. T. Ziemba (Edditors), Generalized Concavity in Optimization and Economics, Academic Press, pp. 441-472. 11. March, J. G. & Shapira, Z. (1987), “ Managerial Perspectives on Risk and Risk Taking”, Management Science, Vol. 33, pp. 1404–1418. 12. Meyer, R. R., Rothkopf, M. H. & Smith, S. A.(1979), “Reliability and Inventory in a Production-Storage System”, Management Science, Vol. 25, No. 8, pp. 799-807. 13. Mohebbi, E. (2003), “Supply Interruptions in A Lost-sales Inventory System with Random Lead Time”, Computer & Operations Research, Vol. 30, pp. 411-426. 14. Moinzadeh, K. & Aggarwal, P. (1997), “Analysis of A Production/Inventory System Subject to Random Disruptions”, Management Science, Vol.43, No. 11, pp. 1577-1588. 15. Parlar, M. & Berkin, D. (1991), “Future Supply Uncertainty in EOQ Models”, Naval Research Logistics, Vol. 38, pp. 107-121. 16. Parlar, M. & Perry, D. (1995), “Analysis Of A (Q, r ,T) Inventory Policy With Deterministic and Random Yields When Future Supply is Uncertain”, European Journal of Operational Research, Vol. 84, Issue 2, pp. 431-443. 17. Parlar, M. & Perry, D. (1996), “Inventory Models of Future Supply Uncertainty with Single and Multiple Suppliers”, Naval Research Logistics, Vol. 43, Issue 2, pp. 191-210. 18. Qi, L., Shen, Z. M., Snyder, L. V. (2009), “A Continuous-Review Inventory Model with Disruptions at Both Supplier and Retailer”, Production Operation Management, Vol. 18, pp. 516-532. 19. Qi, L., Shen, Z. M., Snyder, L. V. (2010), “The Effect of Supply Disruptions on Supply Chain Design Decisions”, Transportation Science, Vol. 44, No. 2, pp. 274-289. 20. Ross, S. M. (2000), “Introduction to Probability Models”, 7th, Academic Press 21. Schmitt, A. J. & Snyder, L. V. (2010), “Infinite-horizon models for inventory control under yield uncertainty and disruptions”, Computer & Operations Research, doi:10.1016/ j.cor.2010.08.004 22. Shapira, Z. (1995), “Risk Taking: A Managerial Perspective”, Russell Sage Foundation, New York. 23. Snyder, L. V. & Daskin, M. S. (2005), “Reliability Models for Facility Location: The Expected Failure Cost Case”, Transportation Science, Vol. 39, No. 3, pp. 400-416. 24. Snyder, L. V. & Daskin, M. S. (2005), “Reliability Models for Facility Location: The Expected failure cost case”, Transportation Science, Vol. 39, pp. 400-416. 25. Snyder, L. V. (2005), “A Tight Approximation for a Continuous-Review Inventory Model with Supply Disruptions”, Working paper, Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA. 26. Snyder, L. V., Scaparra, M. P., Daskin, M. S. & Church, R. L. (2006), “Planning for Disruptions in Supply Chain Networks”, H. J. Greenber (Editor), TutORials in Operations Research, INFORMS, Bethlehem, pp. 234-257. 27. Tomlin, B. (2006). “On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks”, Management Science, Vol. 52, No. 5, pp. 639-657. 28. Yano, C. A. & Lee, H. L. (1995), “Lot Sizing with Random Yields: A Review”, Operations Research, Vol. 43, No. 2, pp. 311-334. 29. Yates, J. F. & Stone, E. R. (1992), “The Risk Construct”, In: J. Yates (Editor), Risk Taking Behavior, Wiley, New York, pp. 1–25. 30. Yu, H., Zeng, A. Z. & Zhao, L. (2009), “Single or dual sourcing: decision-making in the presence of supply chain disruption risks”, Omega: An International Journal of Management Science, Vol. 37, pp. 788-800. 31. Zsidisin, G. A. (2003), “A Grounded Definition of Supply Risk”, Vol. 9, Issue 5-6, pp. 217-224. 32. Zsidisin, G.A., Panelli, A. & Upton, R. (1999), “Purchasing Organization Involvement in Risk Assessments, Contingency Plans, and Risk Management: An Exploratory Study”, Supply Chain Management: An International Journal, Vol.5, pp. 187–197. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23416 | - |
dc.description.abstract | 近十年來的自然災害或人為意外等事件,使得供給中斷開始受到重視,並有了進一步的研究,逐漸討論至斷貨風險的議題。相對於傳統供應鏈管理常探討的需求不確定性,斷貨所造成的供給面不確定性甚是有其研究的價值。本研究將根據過去學者對於供給中斷的研究進行更深入的衍伸,並同時討論斷貨風險以及成本結構,建立本研究決策模型。
本研究乃是以下游零售商的角度,向兩家可能會中斷出貨的供應商進行採購,使用重新報酬理論並以最小化長期總成本做為目標。於決策模型中本研究透過連續時間馬可夫鏈表達供應商經歷正常或維修的程序,並推導出四種情境的移轉機率以及對應之成本。本研究將多項成本皆納入考量,包括採購成本、貨品單位成本、持有成本與缺貨成本等,最後歸結出長期總成本函數。 然而,由於本模型過於複雜,難以確認其特性與最佳解位置,故於此採用了Snyder學者的逼近法,將模型與以化簡,隨後即證明其性質並求得最佳訂購數量與長期平均成本。本研究進一步利用敏感度分析探討各項輸入參數對於成本與訂貨量的影響,並根據分析結果相關管理意涵與建議,以期幫助面臨斷貨風險的廠商決定其訂貨政策。於本研究中發現各項輸入參數的影響性大小與是否為主要採購來源有明顯相關,當主要採購來源的風險增加或成本上升,對於零售商將會產生較高的成本負擔。 | zh_TW |
dc.description.abstract | In recent decade, the events of natural disasters and human accidents make the issue of supply disruptions become more and more emphasized, which begins to have further research and gradually discuss the topic of disruption risk. Compared to the demand uncertainty studied by traditional supply chain management, supply uncertainty caused by disruptions does have its value to study. This research is based on the model of supply disruptions from the past studies, and the more profound extensions will be conducted in this research. Besides, the effect of disruption risk and cost structure will be discussed simultaneously to construct the decision model in this research.
This research is on the standpoint of downstream retailer, who purchasing goods from two unreliable suppliers, using renewal reward theory and set the aim as minimizing the long-run total cost. In the decision model, continuous-time Markov chain is adopted in order to display the process of On and Off period undergone by suppliers, and then figure out the deduction of the transition probability and correspondent cost under four scenarios. Ultimately this research constructs long-run average cost function, which takes ordering cost, unit cost, holding cost and stockout cost into consideration. However, due to the complex of the model, difficult to identify its property and optimum, there this research thus introduces the approximation conceived by Snyder in order to simply the model. Then its property is proved and the optimal order quantity and long-run average cost is figured out. Afterwards, this research uses the sensitivity analysis to understand each the effect of input parameter and proposes relevant management implications and suggestions. The studies discover that the effect of input parameters depends obviously on whether it is main purchasing supplier or not; when the risk or cost increase at the main purchasing source, retailer has to face larger increment of cost. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T05:01:21Z (GMT). No. of bitstreams: 1 ntu-99-R98741027-1.pdf: 1625614 bytes, checksum: 7a8403ce6f190c1d6f370e4648cfc983 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 謝 辭 ii
摘 要 iii Abstract iv 目 錄 vi 表目錄 viii 圖目錄 ix 第一章 緒論 1 1.1 研究動機 1 1.2 研究目的 2 1.3 研究範圍與限制 3 1.4 研究架構 3 1.5 論文架構 4 第二章 文獻探討 6 2.1 供給面風險 6 2.2 供給斷貨研究相關文獻 7 2.2.1 廠址設立問題 7 2.2.2 存貨數量模型 8 2.3 文獻探討小結 12 第三章 模型建構與求解 15 3.1 模型情境與相關參數 15 3.2 模型假設 19 3.3 模型分析架構 19 3.4 成本函數模型求解 25 3.4.1 求解流程 25 3.4.2 逼近法與簡化 26 3.4.3 函數特性確定 28 3.4.4 最佳解求解 30 第四章 數據分析 31 4.1 參數設定原則 31 4.2 敏感度分析 32 4.2.1 成本結構 32 4.2.2 風險程度 36 4.3 數據分析小結 40 第五章 結論與建議 42 5.1 研究結論與建議 42 5.2 研究貢獻 43 5.3 未來研究方向 44 參考文獻 45 | |
dc.language.iso | zh-TW | |
dc.title | 在兩個供貨來源之下探討斷貨風險與成本結構對最適採購批量的影響 | zh_TW |
dc.title | The Effect on Optimal Ordering Quantity under Disruption Risk and Cost Structure of Two Available Suppliers | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 郭人介,王孔政 | |
dc.subject.keyword | 斷貨風險,重新報酬理論,最佳訂購數量, | zh_TW |
dc.subject.keyword | Disruption risk,Renewal Reward Theory,Optimal order quantity, | en |
dc.relation.page | 48 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2010-12-30 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 商學研究所 | zh_TW |
顯示於系所單位: | 商學研究所 |
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