(Q,R)补货及产品替代下的供应链库存模型研究
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摘要
供应链上企业间的关系是一种竞争合作关系,对其研究是有十分重要的理论与实际意义。本文重点在(Q,R)这种重要的补货方式及产品可替代的情况下深入探讨了基于竞争与合作的供应链库存决策模型。
     考虑了供应商的供给波动对零售商提前期的影响,假定供应商的缺货量和零售商的订货提前期的关系而构建了一个随机型的库存模型。通过分析模型可知供应商的缺货量和零售商的提前期的关系直接导致供应商的安全因子和供应商自身的订货提前期都影响着零售商的库存决策及库存成本。并比较了双方在分散决策与合作决策的情形下的最优安全因子模型。
     在一个单供应商供应单零售商的库存模型中研究了零售商的订货提前期的缩短问题。针对零售商的提前期被供应商所控制且供应商缩短零售商的提前期需付出成本代价这种情形,建立了供应商和零售商的库存模型,分析了零售商和供应商之间的两种库存管理方式——供需协调管理库存和供需独立管理库存,并给出了模型的求解算法和步骤。
     在一个提前期固定、包括单供应商和单零售商的库存模型中分析了供应链分别在传统的库存决策下和采用VMI协调机制下的差异。和传统的库存决策相比,在一定的条件下VMI系统可能降低产品的零售价,并减少供应商的利润,但增加了零售商和整个供应链的利润;然而当这种条件不成立时,VMI系统将导致产品零售价更高,并必然使供应商的利润降低,甚至可能降低零售商和整个供应链的利润。文章还分析了在两种策略下分别采用总量折扣的协调机制后的情况,对模型进行了进一步的优化。
     分析了供应链环境下替代产品的问题,给出了一个关于替代产品问题的模型。模型假设两个零售商销售同一产品并具有替代性。针对两个零售商的这种关系,给出了三种不同的库存决策模型并进行了相应的求解。最后对模型进行了实际算例分析,比较了两个决策者不同合作模式下的订货策略,也对一些重要参数做了敏感性分析。
     考虑了产品替代问题下的两条供应链间博弈的库存问题。针对两条竞争的供应链供应不同品牌但功能相近而具有相互替代性的产品的情形建立了模型。分析了当两条供应链分别在三种情形(即两条供应链都实行RMI系统、两条供应链分别实行RMI系统和VMI系统及两条供应链都实行VMI系统)下产品替代率对两条供应链的订货决策及链上成员的利润的影响。并比较了三种情形间各条供应链的价格参数和成本参数带给两条供应链的库存决策的变化及对链上各个成员的利润的影响。
The relationship between supply chain enterprises is co-opetitive. It is very significant to study this kind of co-opetition relationship. This paper focuses on the (Q, R) replenishment strategy and substitutable product and detailedly studies inventory decision model of supply chain basing on co-opetition relationship.
     The impact of supply shake of supplier on the leadtime of retailer is considered. A stochastic inventory model is introduced when assuming the relation between the stockout quantity of supplier and the leadtime of retailer. The analysis shows the relation results in that the safety factor and leadtime of supplier have obvious effect on inventory decision and cost of retailer. The optimal safety factor models under decentralized and centralized decision are compared.
     Retailer’s lead time reduction problem is dealt with in a single-vendor single-buyer inventory model. We consider the case that the buyer’s lead time can be shortened by increasing planned vendor’s order processing expenditure which is under the control of the vendor. Two models are formulated in this study. An iterative procedure is developed to find the optimal solution and numerical examples are also presented to illustrate the superiority of integrated inventory management.
     A model including a single-vendor single-buyer with fixed leadtime is presented. The performance of VMI is compared with the performance of traditional inventory policy. We find that under a certain cost condition, although VMI likely reduces the vendor’s profit, it, compared with traditional inventory policy, will decrease retail price and consequently bring higher expected profit level for the buyer and the whole supply chain. However, if the cost condition is not satisfied, VMI will result in higher retail price, necessarily lead a lower expected profit for vendor and not necessarily lead to a higher expected profit for the buyer or the whole supply chain.
     This problem of substitution product is analyzed. An inventory model on substitution product is introduced. This model assumes two retailers supply the same product that can be substitutable each other. For this relationship between two retailers, three different stocking decisions are given and solved. A practical numerical analysis is presented and quantifies the differences. The sensitivity analysis on some important parameter is given.
     An inventory problem on substitution product considers game between two supply chains. The detailed case is the two kind of product which the two supply chains respectively provide have the same function so that they can be substitutable each other. The impacts of substitution rate and price parameter and cost parameter on order decision and every member’s profit of the two supply chain is analyzed and compared on three kinds of condition (namely, RMI for both brands, RMI for one brand and VMI for the other, VMI for both brands).
引文
[1] Abad P. L., Aggarwal V.. Incorporating transport cost in the lot size and pricing decisions with downward sloping demand [J]. International Journal of Production Economics, 2005, 95: 297-305.
    [2] Achabal, D. D., Mcintyre, S.H., Smith, S. A., Kalyanam K.. A decision support system for vendor managed inventory [J], Journal of Retailing, 2000, 76(4): 430-454.
    [3] Aichlymayr M.. DC mart: who manages inventory in a value chain [J]. Transportation and Distribution, 2000, 41: 60–68.
    [4] Andel T.. Manage inventory, own information [J]. Transportation and Distribution, 1996, 37(5): 54-58.
    [5] Andersson J., Marklund J.. Decentralized inventory control in a two-level distribution system [J]. European Journal of Operational Research, 2000, 127(3): 483 -506.
    [6] Bassok, Y., Anupindi, R. and Akella, R. Single period multi-product inventory models with substitution [J]. Operations Research, 1999, 4: 632-642.
    [7] Ben-Daya M., Raouf A.. Inventory models involving lead time as decision variable [J]. Journal of the Operational Research Society, 1994, 45: 579-582.
    [8] Bernstein F., Federgruen Awi. Decentralized Supply Chains with Competing Retailers Under Demand Uncertainty [J]. Management Science, 2005, 51(1):18-29.
    [9] Bitran, G.. and Dasu, S.. Ordering policies in an environment of stochastic yields and substitutable demand [J]. Operations Research, 1992, 50: 999-1017.
    [10] Bookbinder J. H., Cakanyildirim M.. Random lead tines and expedited orders in (Q, r) inventory systems [J]. European Journal of Operational Research, 1999, 115: 300-313.
    [11] Bowersox D. J., Closs D. J.. Logistics Management: the Integrated Supply Chain Process [M]. New York: The McGraw-Hill, Inc., 1996.
    [12] Burke M.. It’s time for vendor managed inventory [J]. Industrial Distribution, 1996, 85(2):90.
    [13] Buzzell R. D., Ortmeyer G.. Channel partnerships streamline distribution [J]. Sloan Management Review, 1995, 36: 85-96.
    [14] Cachon G. P.. Stock wars: Inventory competition in a two-echelon supply chain with multiple retailers [J]. Operations Research, 2001, 49(5): 658-674.
    [15] Cachon G., Zipkin P.. Competitive and Cooperative Inventory Policies in a Two-stage Supply Chain [J]. Management Science, 1999, 45(7): 936-953.
    [16] Cachon P., Lariviere M.. Supply chain coordination with revenue-sharing contracts: strength and limitations. Working paper. The Fuqua School of Business of Duke University, 2000.
    [17] Cakanyildirim M.. Analysis of endogenous lead-time (Q, r) inventory systems. MASc Thesis, Department of Management Sciences, University of Waterloo, Ont. 1995.
    [18] Carolyn, F.S. and Mary, A.M.. Maximizing the use of vendor managed inventories while minimizing internal headaches[C]. Dynamic APICS Resource Education, 2000: 27 - 32.
    [19] Cetinkaya S, Lee C Y.. Stock replenishment and shipment scheduling for vendor-managed inventory system [J]. Management Science, 2000, 46(2): 217-232.
    [20] Chang H C, Ouyang L Y, Wu K S, et al. Integrated vendor-buyer cooperative inventory models with controllable lead time and ordering cost reduction [J]. European Journal of Operational Research, 2006, 170(2): 481-495.
    [21] Chen et al.. A coordination mechanism for a supply chain with demand information updating [J]. International Journal of Production Economics, 2006, 103: 347-361.
    [22] Chen F., Drezner Z., Ryan J. K., et al.. Quantifying the bullwhip effect in a supply chain: the impact of forecasting, lead times and information [J]. Management Science, 2000, 46(3): 436-443.
    [23] Chen F. Echelon reorder points, installation reorder points, and the value of centralized demand information [J]. Management Science, 1998, 44: s221-s234.
    [24] Chen T., Chen J.. Optimizing supply chain collaboration based on joint replenishment and channel coordination [J]. Transportation Research Part E, 2005, 41: 261-285.
    [25] Cheung K., Lee L.H.. The inventory Benefit of Shipment Coordination and Stock rebalancing in a Supply Chain [J].Management Science, 2002, 48(2):300-30.
    [26] Chopra S., Meindl P. Supply chain management: Strategy, planning, and operations [M]. Prentice-Hall, Inc., 2001.
    [27] Cottrill K.. Reforging the supply chain [J]. Journal of Business Strategy, 1997, 18(6): 35-39.
    [28] Dai Y., et al, Pricing in revenue management for multiple firms competing for customers [J]. International Journal of Production Economics, 2005, 98: 1-16.
    [29] De Kok, A. G.., Back-order lead time behaviour in (s, Q)-inventory models with compound renewal demand [R]. Graduate School of Industrial Engineering and Management Sciences, Eindhoven University of Technology, 1993.
    [30] Diks E. B., De kok A. G., Lagodimos A. G.. Multi-echelon systems: A service measure perspective [J]. European Journal of Operational Research, 1996, 95: 241-263.
    [31] Dong Y., Xu K.. A supply chain model of vender managed inventory [J]. Transportation Research Part E, 2002, 38: 75-95.
    [32] Drezner, Z., Ryan, J.K., Simchi-Levi, D.. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information [J]. Management Science, 2000, 46: 436-443.
    [33] Ehrhardt R.. (s, S) Policies for a dynamic inventory model with stochastic lead time [J]. Operations Research, 1984, 32(1): 121-132.
    [34] Ernst, R., Kouvelis, P.. The effects of selling packaged goods on inventory decisions [J]. Management Science, 1999, 45(8):1142-1155.
    [35] Fangruo, C., Federgruen, A and Yu-sheng Z.. Coordination mechanisms for a distribution system with one supplier and multiple retailers [J]. Management Science, 2001a, 47(5): 693-70.
    [36] Fangruo, C., Federgruen, A and Yu-sheng Z.. Near-optimal pricing and replenishment strategies for a retail/ distribution system [J]. Operations Research. 2001b, 49(6): 839-853.
    [37] Farley G. A.. Discovering Supply Chain Management: a Roundtable Discussion [J]. APICS-The Performance Advantage, 1997, 7(1): 38-39.
    [38] Forsberg R.. Optimization of order-up-to S policies for two-level inventory systems with compound Poisson demand [J]. European Journal of Operational Research, 1995, 81: 143-153.
    [39] Fudenberg D..博弈论[M].北京:中国人民大学出版社.2002.
    [40] Ganeshan R.. Managing supply chain inventories: A multiple retailer, one warehouse, multiple supplier model [J]. International Journal of Production Economics, 1999, 59: 341-354.
    [41] Gerber N.. Objective comparisons of consignment, just-in-time, and stockless [J]. Hospital Material Management Quarterly, 1999, 13(1), 10-17.
    [42] Gerchak Y., Khmelnitsky E.. A consignment system where suppliers cannot verify retailer’s sales reports [J]. International Journal of Production Economics, 2003, 83: 37-43.
    [43] Goyal, S. K.. An integrated inventory model for a single supplier-single customer problem [J]. International Journal of Production Research, 1977, 15(1):107-111.
    [44] Gules H K, Burgess T F. Manufacturing technology and the supply chain: Linking buyer-supplier relationships and advanced manufacturing technology [J]. European Journal of Purchasing & Supply Management, 1996, 2(1): 31-38.
    [45] Hariga M, Ben-Daya M.. Some stochastic inventory models with deterministic variable lead time [J]. European Journal of Operational Research, 1999, 113:42-51.
    [46] Hax A. C., Candea D. Production and inventory management [M]. Prentice-Hall, Inc., Englewood Cliffs, NJ, 1984.
    [47] Heyman, D.P., Sobel, M.J. Stochastic models in operations research, Vol.11: Stochastic optimization [M]. New York: McGraw-Hill, 1984.
    [48] Hsu, A. and Bassok, Y. Multiproduct inventory problem with substitution and random yield [J]. Operations Research, 1999, 47: 277-290.
    [49] Huang C.. An optimal policy for a single-vendor single-buyer integrated production-inventory problem with process unreliability consideration [J]. International Journal of Production Economics, 2004, 91:91-98.
    [50] Iyer A. V., Bergen M. E.. Quick response in manufacturer-retailer channels [J]. Management Science, 1997, 43(4): 559-570.
    [51] Jeuland A. P., Shugan S. M.. Managing channel profits [J]. Marketing Science, 1983, 2(3): 239-272.
    [52] Keller G., Noori H.. Justifying new technology acquisition through its impact on the cost of running an inventory policy [J]. IIE Transitions, 1988, 20: 284-291.
    [53] Kim K. L., Hayya J. C., Hong J. D.. Setup reduction in economic production quantity model [J]. Decision Sciences, 1992, 23: 500-508.
    [54] Kim, S.L., Ha, D.. A JIT lot-splitting model for supply chain management: Enhancing buyer-vendor linkage [J]. International Journal of Production Economics, 2003, 86(1): 1-10.
    [55] Kohli R., Park H.. Coordinating buyer-seller transactions across multiple products [J]. Management Science, 1994, 40(9): 45-50
    [56] Kraiselburd, S., Narayanan, V.G. and Raman, A.. Contracting in a supply chain with stochastic demand and substitute products [J]. Production and Operations Management, 2004, 13(1): 46-62.
    [57] Kraiselburd, S.. When is Vendor Managed Inventory Good for the Retailer? Impact of Relative Margins and Substitutions Rates. Work Paper, Harvard Business School, 2006.
    [58] Krajewski, L.J. and Ritzman, L. P.. Operations Management: Strategy and Analysis. Addision-Wesley, Reading, MA., 1996.
    [59] Krupp J.A.G.. Safety Stock Management [J]. Production and Inventory Management Journal, 1997, 38 (3): 11 - 18.
    [60] Lal R., Staelin R.. An approach for developing an optimal discount pricing policy [J]. Management Science, 1984, 30(12):1524--1539
    [61] Lambert D M, Cooper M C. Issues in the supply chain management [J]. Industrial Marketing Management, 2000, 29: 65-83.
    [62] Lee C. C., Chu W. H.J.. Who should control inventory in a supply chain [J]. European Journal of Operational Research, 2005, 164: 158-172.
    [63] Lee H. L., Billington C.. Supply chain management: Pitfalls and opportunities [J ]. Sloan Management Review, 1992, 33(3): 65—73.
    [64] Lee H. L., Billington C.. The Evolution of Supply-chain management models and practices at Hewlett2Packard [J]. Interfaces, 1996, 25(5): 42 - 63.
    [65] Lee H. L., So Kut C., Tang C. S.. The value of information sharing in a two-level supply chain [J]. Management Science, 2000, 46(5): 626-643.
    [66] Lee, H., Padamanabhan, P., Whang, S.. Information distortion in a supply chain: the bullwhip effect [J]. Management Science, 1997, 43(4): 546-558.
    [67] Li, J., Liu, L.. Supply chain coordination with quantity discount policy [J]. International Journal of Production Economics, 2006, 101(1): 89-98.
    [68] Liao C. J., Shyu C. H.. An analytical determination of lead time with normal demand [J]. International Journal of Operations and Production Management, 1991, 11: 72-78.
    [69] Mahajan, S., Ryzin, G. Inventory Competitive Under Dynamic Consumer Choice. Columbia Business School, Working Paper, 1999.
    [70] Mahajan, S. and Ryzin, G.V.. Stocking retail assortments under dynamic consumer substitution [J]. Operations Research, 2001, 49(3): 334-351.
    [71] Mishra B. K., Raghunathan S.. Retailer- vs. vendor-managed inventory and brand competition [J]. Management Science, 2004, 50(4):445-457.
    [72] Moon I., Choi S.. A note on lead time and distributional assumptions in continuous review inventory models [J]. Computers and Operations Research, 1998, 25: 1007-1012.
    [73] Narayanan V. G., Raman A.. Agency Costs in a Supply Chain with Demand Uncertainty and Price Competition [J]. Management Science, 2005, 51(1): 120-132.
    [74] Nasri F., Affisco J. F., Paknejad M.J.. Setup cost reduction in an inventory model with finite-range stochastic lead times [J]. International Journal of Production Research, 1990, 28: 199-212.
    [75] Netessine, S., Rudi, N.. Dynamic inventory competition and customer retention. Working Paper. University of Pennsylvania, 2002.
    [76] Netessine, S., Zhang, F., Positive vs. negative externalities in inventory management: implications for supply chain design [J]. Manufacturing & Service Operations Management, 2005, 7(1): 58-73.
    [77] Noonan, P.. A Decision Analysis of Single Period Stocking Problem with Consumer-Driven Substitution. Ph.D. Thesis, Harvard University, Cambridge, MA.
    [78] Ouyang L. Y., Yeh N. C., Wu K. S.. Mixture inventory model with backorders and lost sales for variable lead time [J]. Journal of the Operational Research Society, 1996, 47:829-832.
    [79] Ouyang, L.Y., Wu, K.S.. Mixture inventory model involving variable lead time with a service level constraint [J]. Computers & Operations Research, 1997, 24: 875-882.
    [80] Paknejad M. J., Nasri F., Affisco J. F.. Defective units in a continuous review (s, Q) system [J]. International Journal of Production Research, 1995, 33: 2767-2777.
    [81] Pan J. C., Hsiao Y. C.. Inventory models with back-order discounts and variable lead time [J]. International Journal of Systems Science, 2001, 32(7): 925-929.
    [82] Pan, J.C., Hsiao, Y.C. Integrated inventory models with controllable lead time and backorder discount considerations [J]. International Journal of Production Economics, 2005, 93-94: 387-397.
    [83] Pan, J.C., Hsiao, Y.C., Lee, C. J.. Inventory models with fixed and variable lead time crash costs considerations [J]. Journal of the Operational Research Society, 2002, 53(9): 1048-1053.
    [84] Parlar M., Weng Z. K.. Coordinating pricing and production decisions in the presence of price competition [J]. European Journal of Operational Research, 2006, 170: 211-227.
    [85] Parlar M.. Game theoretic analysis of the substitutable product inventory problem with random demands [J] . Naval Research Logistics, 1988, 35: 397-409.
    [86] Pentico, D.. The assortment problem with stochastic demand [J]. Management Science, 1974, 21: 268-290.
    [87] Piplani R., Viswanathan S.. Supply chain inventory coordination through multiple, common replenishment epochs and selective discount [J]. International Journal of Logistics: Research and Applications, 2004, 7(2): 109-118.
    [88] Porteus E. L.. Investing in reduced setups in the EOQ model [J]. Management Science, 1985, 31: 998-1010.
    [89] Rajaram K, Tang C. S.. The impact of product substitution on retail merchandising [J]. European Journal of Operational Research, 2001, 135:582-601.
    [90] Ravindran, A., Phillips, D.T., Solberg, J. J.. Operations Research: Principles and Practices. New York: Wiley. 1987
    [91] Ronald H Ballou. Business logistics management——Planning, organizing, and controlling the supply chain [M]. 4th ed. Prentice-Hall, Englewood Cliffs, NJ, 1999,248-290.
    [92] Rosenblatt, M. J., Lee, H. L.. Improving profitability with quantity discounts under fixed demand [J]. IIE Transactions, 1985, 17(5): 388-395.
    [93] Rudi, N., and Netessine, S.. Demand Substitution in retail: Centralization and Competition. Work Paper, Simon School of Business Administration, University of Rochester, Rochester, NY. 1999.
    [94] Smith, S.A., Aggrawal, N. Management of multi-item retail inventory systems with demand substitution [J]. Operations Research, 2000, 4: 50-64.
    [95] Speed, K. K.. Finding ways to earn business [J]. Industrial Distribution, 1998, 87(3): S6-S8.
    [96] Spengler, J. J.. Vertical Integration and Antitrust Policy [J]. Journal of Political Economy. 1950, 58: 347-352.
    [97] Stalk Jr G, Webber A. M. Japan’s dark side of time [J]. Harvard Business Review, 1993, July-August: 93-102.
    [98] Stefan, B.. Heinrich von Stackelberg on joint production [J]. European Journal History of Economic Thought, 2001, 8(4):509-525.
    [99] Steven, A.L. and Kevin, F. M.. The Competitive Newsboy [J]. Operations Research, 1997, 45(1): 54-65.
    [100] Sven Axsater, Rosling K. Installation vs. echelon stock policies for multi-level inventory control [J]. Management Science, 1993, 39: 1274-1280.
    [101] Sven Axsater, Zhang Wen-Fa. A joint replenishment policy for multi-echelon inventory control [J]. International Journal Production Economics, 1999 59: 243-250.
    [102] Tang O, Grubbstrom R W. The detailed coordination problem in a two-level assembly system with stochastic lead times [J]. International Journal of Production Economics, 2003, 81-82: 415-429.
    [103] Thomas, W.G., Daniel, S.C. and Sundar B.. Retail Out of Stocks: A Worldwide Examination of Extent, Causes, and Consumer Responses. Work Paper, Emory University, Goizueta Business School, Atlanta, GA USA; University of St. Gallen, Institute of Technology Management, Switzerland; and College of Business and Administration, University of Colorado at Colorado Springs, USA, 2002.
    [104] Toni A. F. D., Zamolo E.. From a traditional replenishment system to vendor-managed inventory: A case study from the household electrical appliances sector [J]. International Journal of Production Economics, 2005, 96, 63-79.
    [105] Topkis, D. M. Equilibrium points in nonzero-sum n-person submodular games [J]. SIAM Journal on Control and Optimization, 1979, 17(6): 773-787.
    [106] Topkis, D. M. Supermodularity and Complementariry. NJ: Princeton University Press, Princeton, 1998.
    [107] Tyan J, Wee H M.. Vendor managed inventory: a survey of the Taiwanese grocery industry [J]. Journal of Purchasing and Supply Management, 2003, 9(1): 11-18.
    [108] Van Houtum G. J., Inderfurth K., Zijm W H M. Material coordination in stochastic multi-echelon systems [J]. European Journal of Operational Research, 1996, 95: 1-23.
    [109] Viswanathan S., Piplani R.. Coordinating supply chain inventories through common replenishment epochs [J]. European Journal of Operational Research, 2001, 129: 277-286.
    [110] Viswanathan S., Wang, Q.. Discount pricing decisions in distribution channels with price-sensitive demand [J]. European Journal of Operational Research, 2003, 149: 571-581.
    [111] Waller M., Johnson M. E., Davis T. Vendor-managed inventory in the retail supply chain [J]. Journal of Business Logistics, 1999, 20(1), 183-203.
    [112] Weng Z. K.. Channel coordination and quantity discounts [J]. Management Science, 1995, 41(9), 1509-1522.
    [113] Weng Z. K.. Coordinating order quantities between the manufacturer and the buyer: A generalized newsvendor model [J]. European Journal of Operational Research, 2004, 156: 148-161.
    [114] Woo Y. Y., Hsu S L, Wu S. An integrated inventory model for a single vendor and multiple buyers with ordering cost reduction [J]. International Journal of Production Economics, 2001, 73:203-215.
    [115] Xu K, Dong Y, Philip T Evers. Towards better coordination of the supply chain [J]. Transportation Research Part E, 2001, 37: 35-54.
    [116] Zheng Y. On properties of stochastic inventory system [J]. Management Science, 1992, 38(1): 87-103.
    [117]常良峰,黄小原,卢震.两极供应链Stackelberg主从对策的优化模型及其应用[J].管理工程学报,2004, 18(1):12-15.
    [118]陈兵兵. SCM供应链管理—策略、技术与实务[M].北京:电子工业出版社,2004.
    [119]陈荣秋,马士华.生产与运作管理[M].北京:高等教育出版社,1999:206-229.
    [120]陈祥锋,朱边立. Markovian模型在供应链合同管理中的应用[J].科研管理,2002, 2: 94-99.
    [121]梁之舜等.概率论与数理统计[M].北京:高等教育出版社, 1996.
    [122]刘丽文.供应链管理思想及其理论和方法的发展过程[J].管理科学学报,2003, 6(2):81-88.
    [123]柳键,马士华.供应链库存协调与优化模型研究[J].管理科学学报.2004, 7(4): 1-8.
    [124]卢震.供应链管理中集成与协调模型及其优化研究. [博士学位论文].东北大学,2003.
    [125]马士华,林勇,陈志祥.供应链管理[M].北京:机械工业出版社,2000. 237-291.
    [126]苏兵等.单周期二人博弈可替代产品库存模型的应用研究[J].中国管理科学. 2005, 13(1): 53-59.
    [127]梭伦.库存管理胜经——现代企业经营者的存、取之道[M].北京:中国纺织出版社,2001:31-68.
    [128]唐宏祥.基于供应链契约的企业间协作机制研究. [博士学位论文].东南大学,2004.
    [129]王瑛,孙林岩.基于合作需求预测的多级库存优化模型[J].系统工程理论方法应用, 2004,13(3):208-213.
    [130]吴军.供应链环境下可替代产品库存管理研究.[博士学位论文],西安交通大学,2003.
    [131]张维迎.博弈论与信息经济学[M].上海:上海人民出版社,1996.

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