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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/123456789/70913
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor黃奎隆
dc.contributor.authorShun-Ran Jiangen
dc.contributor.author姜順然zh_TW
dc.date.accessioned2021-06-17T04:43:34Z-
dc.date.available2023-08-10
dc.date.copyright2018-08-10
dc.date.issued2018
dc.date.submitted2018-08-03
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18. Jin M, Wu SD(2007), “Capacity reservation contracts for high-tech industry”, European Journal of Operational Research, Vol.176(3): 1659-1677
19. Karabuk S, Wu SD(2005), “Incentive schemes for semiconductor capacity allocation: A game theoretic analysis” , Production and Operations Management, Vol.14(2): 175-188
20. Liu Z(2012), “Equilibrium analysis of capacity allocation with demand competition” , Naval Research Logistics, Vol.59(3-4): 254-265
21. Li J, Yu N, Cai X(2017), “Allocation with Demand Competition: Uniform, Proportional, and Lexicographic Mechanisms” , Naval Research Logistics, Vol.64(2): 85-107
22. Lu LX, Lariviere MA(2012), “Capacity Allocation over a Long Horizon: The Return on Turn-and-Earn” , Manufacturing & Service Operations Management , Vol.14(1): 24-41
23. LaReau J(2005), “Looking for a Solstice? Then turn and earn” , Automotive News, Vol.80(6165): 6
24. Lariviere MA(2010) , “Capacity allocation” , Wiley Encyclopedia of Operations Research and Management Science, pp.1–9
25. Lee H-L, Padmanabhan V, Whang S(1997), “Information Distortion in a Supply Chain: The Bullwhip Effect” , Management Science , Vol.43(4): 546-558
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27. Mishra BK, Prasad A, Srinivasan D, ElHafsi M(2017), “Pricing and capacity planning for product-line expansion and reduction” , International Journal of Production Research, Vol.55(18): 5502-5519
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29. Sprumont Y(1991), “The division problem with single-peaked preferences: a characterization of the uniform allocation rule” , Econometrica, Vol.59(2): 509-519
30. Yang ZB, Hu X, Gurnani HB, Guan H(2014), “Selling to a competing buyer with limited supplier capacity” , SSRN paper, (September 27)
31. Zhou J, Tang Z, Zhou D, and Fang T(2015), “A study on capacity allocation scheme with seasonal demand” , International Journal of Production Research, Vol.53(15): 4538-4552
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34. 中時電子報:清庫存有功?這電信商或在iPhone X配貨名單中脫穎而出:
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35. 天下雜誌:為搶iPhoneX,台灣電信業「2017限定版」被庫克表揚的祕密:
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70913-
dc.description.abstract近年來由於科技日新月異,廠商競爭激烈,為了生存從古早的工廠至上原則,到現今顧客為主原則,代表著市面上出現的產品種類愈趨多元,而由於產品生命週期愈趨愈短,新一代產品上市前的外部效益就對供應商十分重要。因產品上、下市迅速的緣故,清理前代商品庫存就成為供應商重要議題,此時利用新世代產品的訂購量分配來使得零售商幫忙就成為一項有利的決策;但對於零售商而言,需求的不確定性、同類型產品間的替代效果、新世代產品的前景看好程度等因素又使得零售商需做不同的訂購決策。在此情境下本研究以供應商之利潤最大化為目標,考量供應商的訂購量分配規則、產品批發價為決策,而零售商則會受供應價格、產品的市場需求、產品間的替代性等因素所影響。在這背景下,本研究建構一個兩階段之數學模型,第一階段為零售商對於舊產品之購買階段,第二階段則為新產品的分配販售階段,並求得第一、二階段的最佳供應價格、訂購量分配規則以及零售商、供應商的總利潤最大解。本研究發現於供應商而言,轉嫁策略永遠較固定均分策略佳,且在市場需求不確定的情況下,供應價格並不等於零售商售價,反而會共同承擔風險,使得自身利潤較佳,而在有些情況下,供應商適時的分給零售商些許利潤,反而對於自身利潤較好。反觀零售商,屬於被動的接收者,只能依供應商這領先者的策略,來做自身利潤最大化的策略。zh_TW
dc.description.abstractDue to the ever-changing sciences and technologies, the product life cycle has been shorter and shorter in recent years. It causes more and more products which will be launched, and new products are commonly easy out of stock because of the popularity. Besides, there are many multi-generation products in the market due to shorter product life cycle. In consequence, there are lots of issues to discuss interaction between suppliers and retailers, like ordering decisions, pricing decisions, capacity allocation, etc. According to above, This research presents a two-phase setting model, where the first phase is old product’s selling phase and the second phase is new product’s selling phase, and focuses on dealing with multi-generation product with limited capacity, also considering supplier capacity allocation rules to find the best strategies for the supplier. , i.e., allocation rules, wholesale prices, and profit in first and second phase. In this research, it is found that the turn-and-earn allocation scheme is always better than fix allocation scheme, and also found that in some conditions supplier sacrifice some profits to retailer can be higher profit.en
dc.description.provenanceMade available in DSpace on 2021-06-17T04:43:34Z (GMT). No. of bitstreams: 1
ntu-107-R05546011-1.pdf: 2200590 bytes, checksum: be9451e2bcf716d387548dc2a5f89a6d (MD5)
Previous issue date: 2018
en
dc.description.tableofcontents致謝 i
摘要 ii
ABSTRACT iii
目錄 iv
圖目錄 vii
表目錄 viii
第1章 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 4
1.3 研究範圍與架構 6
第2章 文獻探討 8
2.1 產能分配之研究發展 8
2.2 供應商產能分配決策與零售商訂購量探討 10
2.3 供應商與零售商合作與契約設計 12
第3章 問題描述與模型建構 15
3.1 問題描述及定義 15
3.1.1 供應商設定 16
3.1.2 零售商設定 16
3.1.3 模型架構 17
3.2參數設定與基本模型建構 17
3.2.1 產能大於需求 20
3.2.2 產能小於需求 24
3.3 基本模型推導與求解(Model A) 27
3.3.1 各案例之推導與求解 27
3.4 需求變動(Model B) 34
3.4.1 零售商決策 34
3.4.1-1 產能配給量大於需求 36
3.4.1-2 產能配給量小於需求 39
3.4.2 供應商決策 40
3.5 在需求變動下供應商與零售商合作的情形(Model C) 42
3.5.1 新世代產品產能大於市場需求 43
3.5.2 新世代產品產能小於市場需求 44
3.6 舊產品價格變動 44
第4章 數值分析 47
4.1需求不確定下數值分析 47
4.1.1 新產品產能K的影響 48
4.1.2 新產品價格p2對利潤的影響 49
4.2 價格不確定下的數值分析 50
4.2.1 新興市場高需求機率ϕ對利潤的影響 51
4.2.2 舊世代市場需求α的影響 53
4.2.3新世代商品售價p2的影響 54
4.2.4 供應商產能分配決策q2和e的影響 54
4.2.5 供應商對新產品讓利幅度δ的影響 56
第5章 結論 59
5.1 研究總結 59
5.2 未來延伸與建議 60
參考文獻 61
附錄1:Proposition推導 65
dc.language.isozh-TW
dc.subject轉嫁策略zh_TW
dc.subject產能分配zh_TW
dc.subject賽局理論zh_TW
dc.subjectgame theoryen
dc.subjectcapacity allocationen
dc.subjectturn-and-earnen
dc.title在有限產能的限制下多世代產品的收益管理決策zh_TW
dc.titleRevenue management of multi-generation products under limiting capacity’s constrainten
dc.typeThesis
dc.date.schoolyear106-2
dc.description.degree碩士
dc.contributor.oralexamcommittee孔令傑(Ling-Chieh Kung),藍俊宏,李捷
dc.subject.keyword轉嫁策略,產能分配,賽局理論,zh_TW
dc.subject.keywordturn-and-earn,capacity allocation,game theory,en
dc.relation.page68
dc.identifier.doi10.6342/NTU201802465
dc.rights.note有償授權
dc.date.accepted2018-08-03
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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