跳到主要內容

臺灣博碩士論文加值系統

(216.73.217.60) 您好!臺灣時間:2026/06/17 22:45
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:周憲燦
研究生(外文):Hsien-Tsan Chou
論文名稱:以賽局理論考量三階層綠色供應鏈整合性存貨模型
論文名稱(外文):Research on three-level Green Supply Chain and Integrated Inventory Model under Game Theory Approach
指導教授:林志平林志平引用關係
口試委員:羅明正楊明峰
口試日期:2014-06-06
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:工業工程與管理系碩士班
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:英文
論文頁數:65
中文關鍵詞:供應鏈管理-賽局理論-存貨
外文關鍵詞:Green supply chain management-Game theory-Inventory
相關次數:
  • 被引用被引用:0
  • 點閱點閱:449
  • 評分評分:
  • 下載下載:2
  • 收藏至我的研究室書目清單書目收藏:0
鑒於日新月異的科技發展太過迅速,對於自然生態和生活環境時常造成毀滅性的破壞,在過去幾十年來不斷地鼓吹綠色產品之推廣,各領域的企業主趨之若鶩、蔚為趨勢。故以綠色供應鏈的綠色產品做為討論基礎、存貨加以研究,並以賽局理論做為製造商經營策略模式之主軸。
本研究旨在考慮三階層的綠色供應鏈中各成員的存貨情況,以賽局理論中的史坦柏格市場討論製造商分別在面對不同需求的情境之下,能夠採取較優的策略模式;由於各製造商會有不同的企業目標,例如: 成本最低,最高利潤,或高報酬率等等,能夠藉此研究去選擇到對於製造商最有利的策略合作方式;而在各策略聯盟間的利潤分配在本研究中不納入討論。最後會針對本研究所提出的模型進行數值分析與討論。


With the highly-rapid changes of technology, the environment damages and the disturbances of our lives are extremely dramatic. Fortunately, lots of enterprises are putting more efforts on the environmental protection as producing their products. Therefore, we take the green supply chain as our fundamental base, then consider inventory and take game theory as strategies.
In this study, we propose a three-level green supply chain, take inventory management into account and choose a better strategy for manufacturer in game theory, includes cooperative decision-making model, non-cooperative game model, the Stackelberg game I model and Stackebrg game II model. Try to show the best strategy in different scenarios in order to reach the goal of enterprise.


摘 要 i
ABSTRACT ii
致謝 iii
CONTENTS iv
LIST OF FIGURE vi
LIST OF TABLE vii
Chapter1 INTRODUCTION 1
1.1 Research Background and Motivation 1
1.2 Research objectives 5
1.3 Research Scope and Framework 6
Chapter2 LITERATURE REVIEW 9
2.1 Green Supply Chain Management 9
2.2 Game theory and Stackelberg game 12
2.2.1 Bases of Stakckelberg game 13
2.2.2 Solutions for solving Stackelberg games 14
2.2.3 Applications of Stackelberg game 15
2.3 Basic Inventory Model 18
Chapter3 FUMDEMENTAL MODEL 21
3.1 Assumptions and Limitations 21
3.2 Notations 23
3.3 The Fundamental model 24
3.4 Problem Solved Process 27
Chapter4 MODEL 29
4.1 Cooperative-Decision Model 29
4.2 Non-cooperative game model 30
4.3 Stackelberg game model I 32
4.4 Stackelberg game model II 33
4.5 Discussion on markup rate 34
4.5.1 Order quantity 36
4.5.2 The price of green product 37
4.5.3 The total cost 38
4.5.4 The total profit 39
4.5.5 Return on Investment 39
Chapter5 NUMERICAL EXPERIEMNT & SENSITIVITY ANALASIS 41
5.1 The markup rate 41
5.1.1 Customer- oriented 42
5.1.2 Production-oriented 44
5.1.3 Compare the sensitivity of p to γ’s 47
5.2 Perform numerical experiment 50
5.2.1 Cooperative decision model 51
5.2.2 Non-cooperative decision model 51
5.2.3 Stackelberg game I 52
5.2.4 Stackelberg game II 52
5.2.5 Discussion 53
Chapter6 CONCLUSION 56
Reference 59


[1] S. Doherty, S. Hoyle, Supply chain de-carbonization: the role of logistics and transportation in reducing supply chain carbon emission, World Economic Forum
[2] E. Falatoonitoosi , Z. Leman, and S. Sorooshian, Modeling for Green Supply Chain Evaluation, Mathematical Problems in Engineering, Volume 2013, Article ID 201208, 9 pages
[3] Q. Yu, L. Liu, The Application of Information Technology in Green Supply Chain, Advanced Materials Research Vols. 712-715 , 2013, pp.3027-3030
[4] F.D. Felice, A. Petrillo, O. Cooper, An integrated conceptual model to promote green policies, International Journal of Innovation and Sustainable Development. Volume 7, Issue 4, 2013, Page333-355
[5] P. Winsemius, Environmental contracts and covenants, in: Proceeding of the International conference, Rotterdam, The Netherlands, 1993, pp.5-15
[6] H. Baumann, Mapping the green product development field: engineering, policy and business perspectives, Journal of Cleaner Production. 10 (5) (2002) 409-425
[7] K. Green, B. Morton, S. New, Greening organizations Purchasing, consumption, and innovation. Organization & environment. 13(2) (2000) pp. 206-225
[8] J. Sarkis, A strategic decision framework for green supply chain management, Journal of Cleaner Production. 11 (4), 2003, pp.397–409.
[9] F. Testa, F. Iraldo, Shadows and lights of GSCM (green supply chain management): determinants and effects of these practices based on a multinational study. Journal of Cleaner Production.18 (10–11) (2010) 953–962.
[10] Q.H. Zhu, J. Sarkis, K.H. Lai, Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers, J. Environ. Manage.85 (1) (2007) 179–189.
[11] W.H. Tsai, S.J. Hung, A fuzzy goal programming approach for green supply chain optimization under activity-based costing and performance evaluation with a value-chain structure, International Journal of Production Research. 47 (18) (2009) 4991–5017.
[12] M. Roberts, Recycling: executive order leaves paper industry reeling, World Wastes. 12 (6) (1993) 56–79.
[13] A. Nagurney, F. Toyasaki, Supply chain super networks and environmental criteria, Transportation Research. Part D: Transp. Environ. 8 (3) (2003) 185–213.[13] [14] Q.H. Zhu, Y.J. Dou, An evolutionary model between governments and core-enterprises in green supply chains, Syst. Eng.– Theory Practice. 85 (12) (2007) 85–89.
[15] M.J. Kang, W.X. Luan, The Important Role of Green Supply Chain Management in the Context of Land-Sea Overall Strategy, Advanced Materials Research. Volume 694 697, 2013, Page 3571-3574
[16] B.Y. Chang, Y. Kenzhekhanuly, B. Park, A study on Determinants of Green Supply Chain Management Practice, International Journal of Control and Automation. Vol. 6, No.3, June, 2013
[17] S. Vachon, R.D. Klassen, Extending green practices across the supply chain : The impact of upstream and downstream integration, International Journal of Operations& Management, Volume 26, Issue 7, 2006, Page 795-821
[18] M. Serrato, S.M. Ryan, J. Gaytan, Characterization of reverse logistics networks for outsourcing decisions. Iowa State University, 2004.
[19] J.B. Sheu,Y.H. Chou, C.C. Hu, An integrated logistics operational model for green-supply chain management, Transportation Research. Part E – Logistic Transportation Review 41 (4) (2005) 287–313.
[20] S.K. Srivastava, Green supply-chain management: A state-of-the-art literature review, International Journal of Management Review.2007, pp.53-80
[21] J.J. Lee, P. O’Callaghan, D. Allen, Critical review of life cycle analysis and assessment techniques and their application to commercial activities. Conservation and Recycling 13, 1995, 37–56.
[22] B. Linnhoff, Pinch analysis–a state-of the- art overview. Transactions of Chemical Engineering, 71, 1993, 503–522.
[23] I.H. Boustead, G.F. Hancock, Handbook of Industrial Energy Analysis. Chichester: Ellis Horwood.1979,- p.422
[24] J.R. Stock, Development and Implementation of Reverse Logistics Programs, Annual conference proceedings, Council of Logistics Management, Northwestern university, Evaston,1998, pp.579-586.
[25] K. Bellmann, A. Khare, European response to issues in recycling car plastics, Technovation, 19, 1999, pp.721–734
[26] T.L. De Fazio, A. Delchambre, P. de Lit, Disassembly for recycling of office electronic equipment. European Journal Mechanical and Environmental Engineering, 42, 1997, pp.25–31.
[27] P.F. Johnson, Managing value in reverse logistics systems. Logistics and Transportation Review, 34, 1998, 217–227.
[28] C. Nagel, P. Meyer, Caught between ecology and economy: end-of-life aspects of environmentally conscious manufacturing. Computers & Industrial Engineering, 36, 1999, 781–792.
[29] M. Simaan, J.B. Cruz Jr., On the Stackelberg strategy in nonzero-sum games, Journal of Optimization Theory and Application, Vol.11, Issue 5, 1973, pp.533-555
[30] Z. Yao, S.C.H. Leung, K.K. Lai, Manufacturer’s revenue-sharing contract and retail competition, European Journal of Operation Research,186, 2008, 637-651
[31] E.V. Damme, S. Hurkens, Endogenous Stackelberg Leadership, Games and Economic Behavior 28, 1999, pp.105-129
[32] K. Basu, An explanation based on managerial incentives, Economics Letters 49, 1995, pp.459-464
[33] S. Viswanathan, R. Piplani, Coordinating supply chain inventories through common replenishment epochs, European Journal of Operation Research. 129, 2001, pp.277-286
[34] J.S. Raju, A. Roy, Market information and firm performance, Management Science. 46 (8): 2000, 1075-1084
[35] V. Kadiyali, P. Chintagunta, N. Vilcassim, Manufacturer-retailer channel interactions and implications for channel power: An empirical investigation of pricing in a local market, Management Science. 19(2): 2000, 127-148
[36] C.S. Fisk, Game theory and transportation systems modeling, Transportation Research Part B, Vol.18, Issue 4-5, 1984, Page 301-313
[37] B. Liu, Stackelberg-Nash equilibrium for multilevel programming with multiple followers using genetic algorithms, Computer Math. Application. Vol. 36, No.7, 1998, pp.79-89
[38] Y.A. Kirilis, A.A. Lazar, A. Orda, Achieving Network Optima Using Stackelberg Routing Strategies, IEEE/ACM Transactions on Networking, Vol.5, No.1, 1997, pp.161-173
[39] Y. Din, H. Tang, C. Guo, Channel coordination and volume discounts with price-sensitive demand, Int. J. Production Economics. 105, 2007, pp. 43-53
[40] R.C. Savaskan, S. Bhattacharya, L.N.V. Wassenhove , Closed-Loop Supply Chain Models with Product Remanufacturing, Management Science. 50(2): 2004, pp.239-252
[41] S. Viswanathan, Q. Wang, Discount pricing decisions in distribution channels with price-sensitive demand, European Journal of Operation Research. 149 (2003) pp.571-587
[42] B. Wang, Z. Han, K.J.R. Liu, Distributed relay selection and power control for multiuser cooperative communication networks using Stackelberg game, IEEE Transactions on Mobile Computing, Vol.8, No.7, 2009, pp.975-990
[43] W.D. Cook, L. Liang, J. Zhu, Measuring performance of two-stage network structures by DEA: A review and future perspective, Omega. 38 (2010), pp.423-430
[44] A. Burnetas, P. Ritchken, Option pricing with downward-sloping demand curves: The case of supply chain options, Management Science. 51(4): 2005, pp.566-580
[45] O. Ileri, S.C. Mau,N.B. Mandayam, Pricing for enabling forwarding in self-configuring ad hoc networks, IEEE Journal on Selected Areas in Communications, Vol.23, No.1, 2005, pp.151-162
[46] T. Roughgarden, Stackelberg scheduling strategies, SIAM Journal on Computing. 33(2), 2004, pp.332-350
[47] O. Simeone, I. Stanojev, S. Savazzi, Y.Bar-Ness, U. Spagnolini, R. Pickholtz, Spectrum leasing to cooperating secondary ad hoc networks, IEEE Journal on Selected Areas in Communications, Vol.23, No.1, 2008, pp.203-213
[48] K. Sudhir, Structural analysis of manufacturer pricing in the presence of a strategic retailer, Management Science. 20(3): 2001,pp.244-264
[49] Q.S. Man, X.C. Liu, J.L. Zhang, A game-theory analysis of a multi-channel strategy in the mobile service value chain, International Conference on Management Science& Engineering, Harbin, P.R. China, July 17-19, 2013, pp.43-50
[50] O.D. Palsule-Desai, Supply chain coordination using revenue-dependent revenue sharing contracts, Omega 41 (2013), pp. 780-796
[51] L.E. Cardenas-Barron, Optimizing inventory decisions in a multi-stage multi-customer supply chain: A note, Transportation Research Part E 43 (2007), pp.647-654
[52] F.W. Harris, How many parts to make at once, factory, The Magazine of Management 10, 1913, pp. 135–136, and 152
[53] P. Kelle, A. Akbulut, , The role of ERP tools in supply chain information sharing, cooperation, and cost optimization. International Journal of Production Economics 2005, pp. 93–94, 41–52
[54] S.K. Goyal, An integrated inventory model for a single supplier—single customer problem, International Journal of Production Research 15 (1), 1976, pp.107–111.
[55] A. Banerjee, A joint economic-lot-size model for purchaser and vendor. Decision Sciences 17 (3), 1986, pp. 292–311.
[56] K.J. Chung, T.S. Huang, The optimal retailer''s ordering policies for deteriorating items with limited storage capacity under trade credit financing, Int. J. Production Economics 106 (2007), pp.127-145
[57] C.W. Haley, H.C. Higgins, Inventory policy and trade credit financing. Management Science 20, 1973, pp. 464–471.
[58] S.K. Goyal, Economic order quantity under conditions of permissible delay in payments, Journal of the Operational Research Society 36, 1985, pp.335–338.
[59] H.C. Liao, C.H. Tsai, C.T. Su, An inventory model with deteriorating items under inflation when a delay in payment is permissible. International Journal of Production Economics 63, 2000, pp. 207–214.
[60] C.T. Chang, An EOQ model with deteriorating items under inflation when supplier credits linked to order quantity, International Journal of Production Economics 88, 2004, pp.307–316.
[61] Y.F. Huang, An inventory model under two levels of trade credit and limited storage space derived without derivatives, Applied Mathematical Modelling 30, 2006, pp.418–436
[62] Y.F. Huang, Economic order quantity under conditionally permissible delay in payments, European Journal of Operational Research 176, 2007, pp.911–924
[63] Y.F. Huang, Optimal retailer''s replenishment decisions in the EPQ model under two levels of trade credit policy, European Journal of Operational Research 176, 2007, pp.1577–1591
[64] Y.F. Huang, An EOQ model under retailer partial trade credit policy in supply chain, Int. J. Production Economics 112, 2008, pp. 655–664
[65] A. Balakrishnan, M.S. Pangburn, E. Stavrulaki, “Stack Them High, Let ’em Fly” : Lot-Sizing Policies when Inventories stimulate Demand, Management Science. 50(5): 2004, pp.630-644
[66] R.I. Levin, C.P. Mclaughlin, R.P. Lamone, J.F. Kottas, Production/Operations Management: Contemporary Policy for Managing Operating Systems, New York,
McGraw-Hill,1972, pp.489-498
[67] R.J. Ronald, G.K. Yang, P. Chu, Technical note—The EOQ and EPQ models with shortages derived without derivatives. International Journal of Production Economics 92 (2), 2004, pp. 181–184.
[68] S.K.J. Chang, J.P.C. Chuang, H.J. Chen, Short comments on technical note—The EOQ and EPQ models with shortages derived without derivatives, Int. J. Production Economics 97, 2005, pp. 241–243
[69] C.T. Zhang, L.P. Liu, Research on coordination mechanism in three-level green supply chain under non-cooperative game, Applied Mathematical Modelling 37, 2013, pp. 3369–3379


電子全文 電子全文(本篇電子全文限研究生所屬學校校內系統及IP範圍內開放)
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top