用户名: 密码: 验证码:
易腐品联合采购决策与费用分配研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
新鲜水果、蔬菜、海鲜等产品的高易腐性以及独特的消费者鲜度偏好要求该类产品在以最短的时间从田间转移到餐桌时,降低其在流通中的损耗,保证其在流通中实现品质的稳定。受制于我国冷库、冷藏运输车等基础设施能力不足、储藏保鲜以及低温运输技术比较落后,我国易腐性食品在流通中的损耗比较大。近年来,随着经济的发展与居民生活水平的提高,人们对易腐性产品的需求量逐年增加,对产品的品质、多样性及鲜度提出了更高要求。加快实施易腐性产品供应链管理,对于保障消费安全以及降低企业物流成本来说具有重要意义。为此,本文以水果连锁店、大型连锁超市为研究对象,分析各零售商在联合采购下的订货策略以及费用分配问题。
     首先,在各零售商补货能力有限的情况下,建立了多零售商联合采购的库存控制模型以及费用分配博弈模型,证明了多零售商在联合采购下存在最优订货策略以及费用分配博弈的核心非空,并对几种典型的比例分配解的效率进行了模拟分析。在此基础上,考虑了零售商集中存储产品时的联合采购问题,通过研究表明零售商联盟在集中存储产品时的费用低于独立存储产品时的费用。据此进一步考虑零售商允许缺货且缺货量完全拖后供给的联合采购问题,证明了最优订货策略的存在性,提出了属于费用分配博弈核心的比例分配方案并研究了该方案满足的公理性质。
     其次,研究了供应商允许零售商延期支付货款时的多零售联合采购问题。在各零售商只有一类顾客情况下,研究了多零售商的订货策略以及费用分配方案,并分析了供应商提供的结汇期限变化以及变质率变化对零售商费用的影响;在各零售商有两类顾客情况下,证明了多零售商在联合采购模式下的费用小于各零售商独立采购时的费用,提出了属于费用分配博弈核心的比例分配解,重点考察了终端顾客比例对各零售商分担费用的影响。
     再次,分析了不同订货策略下的多产品库存控制模型。在零售商对各种产品的需求均不为零时,证明大联盟在比例分配费用方案下属于博弈的最大一致集,因此不管从眼前利益还是长远利益来看,大联盟在该方案下都是稳定的。结合数值算例说明,存在零售商对某种产品的需求为零时,零售商联盟在统一订货策略下是不稳定的,单独订货策略是联盟选择的最佳订货策略。在单独订货策略下,证明了联盟对各种产品的订货策略,并分析了各零售商在单独订货策略下的费用分配问题。通过研究表明,零售商期望分担的费用存在一个上界和下界。在此基础上,我们分析了位于一条直线上的零售商联合采购、集中配送问题。证明了只有在某些情况下,零售商的合作是有意义的。结合数值算例说明,在零售商合作有益情况下,距供应商较近的零售商希望通过边际费用分配方案来分配合作后产生的费用,距供应商较远的零售商更偏好于比例分配方案。
     而后,研究了供应商提供数量折扣下的联合采购问题。在供应商最大化其利益的情况下,分别证明了在零售商独立采购以及联合采购时最优数量折扣合同的存在性。通过研究表明,联合采购不仅使零售商的总费用减少,而且提高了供应商的利润。在此基础上,我们考虑了多零售商在联合采购时存在协调成本的情形,证明了零售商在协调成本满足一定条件下的合作是有意义的。
     本论文的研究不仅可以丰富易腐品的库存控制模型,还可以促进合作博弈的理论与方法的发展,研究结果可以为易腐性产品供应链企业的联合采购提供理论方法和决策参考。
Due to the highly perishable nature and customers'special preferences of some products, such as fresh fruits, fresh vegetables, live seafood, we should transfer these products from the field to the table in the shortest possible time to maintain high food quality and reduce the losses. Since our country lacks cold storage, sophisticated transportation facilities and is backward in fresh-keeping technique, fresh products in process of circulation can cause even greater losses. In recent years, with economy developing and living standard improved, the demand for perishable products is on the decrease, with much higher requirement for the quality, the diversity, and the freshness. Implementing supply chain management has great significance for modern enterprise to reduce logistics costs and guarantee food safety. Therefore, with the fruit chain store and big chain superstores as the research project, this thesis studies the joint replenishment problem and cost allocation problem for multi-retailers when they form a purchasing alliance.
     Firstly, inventory control model and cost allocation game under the finite replenishment rate are established when the retailers place their ordering simultaneously. It is proved that the optimal ordering policy exists, and the core of the cost allocation game is nonempty. The efficiency of several proportional rules is also studied by simulation. Based on this analysis, collaborative procurement problem when the retailers store their goods jointly in the storehouse with lowest holding cost is studied. The conclusion implies that the alliance's cost under centralized storage is lower than that under independent storage. Moreover, the inventory game with shortage and backlogging is considered. It is proved that the optimal ordering policy exists, and the proportional rule lies in the core. The property for proportional solution rules on the class of ordering cost games is also studied.
     Secondly, the jointly replenishment problem for multi-retailers under the permissible delay of payments offered by the supplier is studied. When all the retailers have only one type of customers, the optimal ordering policy and the cost allocation problem are studied. The effects of credit terms and deterioration rates on the retailer's cost are also discussed. When all the retailers have two types of customers, the alliance's cost is less than the sum of retailer's cost when they order independently. The proportional allocation rule is defined and proved to be a core allocation. In addition, the effect of the final customer's rate on the retailer's cost is analyzed emphatically.
     Thirdly, inventory models of multi-product under two different ordering policies are developed. When the demand for all the types of product is not equal to zero, ordering every product jointly may be a choice for the alliance. The grand coalition under the given proportional allocation rule lies in the largest consistent set. Therefore, the grand coalition is a stable outcome not only from the myopic point of view of stability but also from the farsighted point of view of stability. If there exists a retailer whose demand for some types of product is zero, the best ordering policy is ordering each product independently. Under this policy, the optimal ordering policy and the cost allocation problem are studied for each product. There exist lower bound and upper bound for each retailer's expected cost sharing. Based on this analysis, a distribution model for the retailers that lie in the line is developed. Only in some cases, the retailer's cooperation is meaningful, and the retailer near to the supplier prefers to the marginal vector solution, while the retailer located away from the supplier prefers to the proportional allocation rule.
     Finally, the jointly replenishment problem for multi-retailers with quantity discount is studied. In the context of the supplier maximizing his profit, the optimal quantity discount contract exists when the retailers order independently and order jointly. The collaborative procurement not only leads to a decrease in each retailer's cost but also improves the supplier's profit. Moreover, if there exists cost coordination among retailer's in ordering jointly, it is proved that retailer's cooperation is meaningful in some circumstances.
     This study enriches the inventory model with perishable products, and extends the theory and method of cooperative game. The results give a theoretical basis and reference for collaborative procurement and cost allocation problems in supply chains with perishable products.
引文
[1]. Bogataj M, Bogataj L, Vodopivec R. Stability of perishable goods in cold logistic chains [J]. International Journal of Production Economics,2005,93-94:345-356.
    [2].国家发展和改革委员会.农产品冷链物流发展规划.2010.06.
    [3].刘丁.联合采购模式是如何开始的——专访中国超市联合采购交易联席会议秘书长顾国[N].南方周末,2009-01-08.
    [4]. Ergun O, Kuyzu G, Savelsbergh M. Shipper collaboration [J]. Computers and Operations Research.2007,34:1551-1560.
    [5].李波,杨灿军,陈鹰.基于合作对策的行业联合采购费用分摊研究[J].系统工程理论与实践,2003,11:65-70.
    [6]. Ghare P M, Schrader G P. A model for an exponentially decaying inventory[J]. Journal of Industrial Engineering,1963:14(5).
    [7]. Chung K J, Chu P, Lan S P. A note on EOQ models for deteriorating items under stock dependent selling rate[J]. European Journal of Operational Research,2000,124:550-559.
    [8]. Giri B C, Chakrabarty T, Chaudhuri K S. A note on a lot sizing heuristic for deteriorating items with time-varying demands and shortages [J]. Computers & Operations Research,2000, 27:495-505.
    [9]. Teng J T, Chang H J, Dye C Y, Hung C H. An optimal replenishment policy for deteriorating items with time-varying demand and partial backlogging[J]. Operations Research Letters,2002, 30:387-393.
    [10].Wu K S, Ouyang L Y, Yang C T. An optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging [J]. International Journal of Production Economics,2006,101:369-384.
    [11]. Wee H M, Law S T. Economic production lot size for deteriorating items taking time-value of money [J]. Computers & Operations Research,1999,26:545-558.
    [12].Benkherouf L, Boumenir A, Aggoun L. A diffusion inventory model for deteriorating items [J]. Applied Mathematics and Computation,2003,138:21-39.
    [13].Kalpakam S, Sapna K P. Continuous review (s, S) inventory system with random lifetimes and positive leadtimes[J]. Operations Research Letters,1994,16:115-119.
    [14].Kalpakam S, Sapna K P. An lost sale (S-1,S) perishable inventory system with renewable demand[J]. Naval Research Logistics,1996,43:129-142.
    [15]. Dave U. On probabilistic scheduling period inventory system for deteriorating items with instantaneous demand[J]. Optimization,1991,22(3):467-473.
    [16]. Abad P L. Optimal price and order size for a reseller under partial backordering [J]. Computers & Operations Research,2001,28:53-65.
    [17]. Shah Y K, Jaiswal M C. An order-level inventory model for a system with constant rate of deterioration[J]. Opsearch,1977,14:174-184.
    [18].Aggarwal S P. A note on an order-level inventory model for a system with constant rate of deterioration[J]. Opsearch,1978,15:184-187.
    [19].Padmanabhana G, Vratb P. EOQ models for perishable items under stock dependent selling rate [J]. European Journal of Operational Research,1995,86(2):281-292.
    [20].Bhunia A K, Maiti M. An inventory model of deteriorating items with lot-size dependent replenishment cost and a linear trend in demand [J]. Applied Mathematical Modelling,1999, 23:301-308.
    [21].Bhunia A K, Maiti M. Deterministic inventory model for deteriorating items with finite rate of replenishment dependent on inventory level [J]. Computers & Operations Research,1998, 25(11):997-1006.
    [22].Mukhopadhyay S, Mukherjee R N, Chaudhuri K S. Joint pricing and ordering policy for a deteriorating inventory [J]. Computers & Industrial Engineering,2004,47:339-349.
    [23].Wee H M. Deteriorating inventory model with quantity discount, pricing and partial backordering [J]. International Journal of Production Economics,1999,59:511-518.
    [24].Mahapatra N K. Decision process for multi-objective, mufti-item production-inventory system via interactive fuzzy satisficing technique [J]. Computers and Mathematics with Applications, 2005,49:805-821.
    [25].Chakrabarty T, Giri B C, Chaudhuri K S. An EOQ model for items with weibull distribution deterioration, shortages and trended demand:an extension of philip's model [J]. Computers & Operations Research,1998,25(7-8):649-657.
    [26].Balkhi Z T, Benkherouf I. On the optimal replenishment schedule for an inventory system with deteriorating items and time-varying demand and production rates[J]. Computers and Industrial Engineering,1996,30(4):823-829.
    [27].Goyal S K, Gunasekaran A. An integrated production-inventory-marketing model for deteriorating items[J]. Computers and Industrial Engineering[J].1995,28(4):755-762.
    [28].Balkhi Z T, Benkherouf I. On the optimal replenishment schedule for an inventory system with deteriorating items and time-varying demand and production rates[J]. Computers and Industrial Engineering,1996,30(4):823-829.
    [29].Salameh M K, Fakhreddine S A, Noueihed N. Effect of deteriorating items on the instantaneous replenishment model with backlogging [J]. Computers& Industrial Engineering, 1999,37:261-264.
    [30].Chen J M. An inventory model for deteriorating items with time-proportional demand and shortages under inflation and time discounting [J]. International Journal of Production Economics,1998,55(1),21-30.
    [31]. Zhou Y W, Lau H S. An economic lot-size model for deteriorating items with lot-size dependent replenishment cost and time-varying demand [J]. Applied Mathematical Modelling, 2000,24:761-770.
    [32]. Zhou Y W, Lau H S, Yang S L. A new variable production scheduling strategy for deteriorating items with time-varying demand and partial lost sale [J]. Computers& Operations Research, 2003,30:1753-1776.
    [33].Skouri K, Papachristos S. A continuous review inventory model, with deteriorating items, time-varying demand, linear replenishment cost, partially time-varying backlogging [J]. Applied Mathematical Modelling,2002,26:603-617.
    [34]. Wang S P. An inventory replenishment policy for deteriorating items with shortages and partial backlogging [J]. Computers & Operations Research,2002,29:2043-2051.
    [35].Dye C Y. Joint pricing and ordering policy for a deteriorating inventory with partial backlogging [J]. Omega,2007,35:184-189.
    [36].彭作和,田澎.一个基于数量折扣的变质商品定价和库存模型[J].上海理工大学学报,2004,26(6):565-568.
    [37].Pakkala T P M, Achary K K. A deterministic inventory model for deteriorating items with two warehouses and finite replenishment rate [J]. European Journal of Operational Research,1992, 57(1):71-76.
    [38].杜少甫,梁樑,张靖江,卢正刚.考虑产品变质VMI混合补货与发货策略及优化仿真[J].中国管理科学,2007,15(2):64-69.
    [39].Cetinkaya S, Lee C Y. Stock replenishment and shipment scheduling for vendor-managed inventory systems[J]. Management Science,2000,46(2):217-232
    [40].Wee H M, Yu J. An deteriorating inventory model with a temporary price discount[J], International Journal of Production Economics,1997,53:81-90.
    [41]. Yang P C. Pricing strategy for deteriorating items using quantity discount when demand is price sensitive[J]. European Journal of Operational Research,2004,157:389-397.
    [42]. Jamal A M M, Sarker B R, Wang S. Optimal payment time for a retailer under permitted delay of payment by the wholesaler [J],.International Journal of Production Economics,2000, 66:59-66.
    [43].Ouyang L Y, Wu K S, Yang C T. A study on an inventory model for non-instantaneous deteriorating items with permissible delay in payments[J].Computers& Industrial Engineering, 2006,51:637-651.
    [44].Liao J J. On an EPQ model for deteriorating items under permissible delay in payments[J]. Applied Mathematical Modelling,2007,31:393-403.
    [45].Ouyang L Y, Teng J T, Goyal S K, Yang C T. An economic order quantity model for deteriorating items with partially permissible delay in payments linked to order quantity [J]. European Journal of Operational Research,2009,194(2):418-431.
    [46].Liao J J. An EOQ model with noninstantaneous receipt and exponentially deteriorating items and two-level trade credit[J]. International Journal of Production Economics,2008, 113:852-861.
    [47].Liao H C, Tsai C H, Su C T. An inventory model with deteriorating items under inflation when a delay in payments is permissible [J].International Journal of Production Economics,2000, 63:207-214.
    [48].Chung K J, Tsai S F. Inventory systems for deteriorating items with shortages and a linear trend in demand-taking account of time value [J]. Computers & Operations Research,2001, 28:915-934.
    [49].Moon I, Giri B C, Ko B. Economic order quantity models ameliorating/deteriorating items under inflation and time discounting [J]. European Journal Operational Research,2005, 162:773-785.
    [50]. Chung K J, Lin C N. Optimal inventory replenishment models for deteriorating items taking account of time discounting [J]. Computers & Operations Research,2001,28:67-83.
    [51].Ellram L M, Carr A. Strategic purchasing:A history and review of the literature [J]. International Journal of Purchasing and Materials Management,1994,30:10-18.
    [52].Hendrick T E. Purchasing consortiums:Horizontal alliances among firms buying common goods and services:What? who? why? how?[R] Center for Advanced Purchasing Studies, Focus study, Tempe,1997.
    [53].Johnnson P F. The pattern of evolution in public sector purchasing consortia [J]. International Journal of Logistics Research and Applications,1999,2:57-73.
    [54].Essig M. Pucrhasing consortia as symbiotic relationships:developing the coneept of 'eonsortiumsoucring"[J], European Jounral of Purchasing& Supply Management,2000, 6:13-22.
    [55].Nollet J, Beaulieu M. Should an organization join a purchasing group?[J]. Journal of Supply Chain Management,2005,10:11-17.
    [56].Rozemeijer F. Creating corporate advantage in purchasing[D]. Technical University of Eindhoven, Eindhoven,2000.
    [57].Nollet J, Beaulieu M. The development of group purchasing:An empirical study in the healthcare sector[J]. Journal of Purchasing and Supply Management,2003,9:3-10.
    [58].Schotanus F. Cooperative purchasing within the United Nations[A]. In:Proceedings of International Purchasing and Supply Education and Research Association conference, Archamps,2005,961-973.
    [59].Tella E, Virolainen V M. Motives behind purchasing consortia[J]. International Journal of Production Economics,2005,93-94:161-168.
    [60].Huber B, Sweeney E, Smyth A. Purchasing consortia and electronic markets:A procurement direction in integrated supply chain management J]. Electronic Markets,2004,14:284-294.
    [61].贺政纲.采购联盟若干问题研究[D].成都,西南交通大学,2006.
    [62].吕柳,陈积敏.中小企业联合采购模式指标的选择[J].南京林业大学学报(人文社会科学版),2007,7(3):83-88.
    [63].高杨.中小零售企业的联合采购问题研究[J].赤峰学院学报(自然科学版),2010,26(7):70-71.
    [64].Dudas V, Hopefl A, Jacobs R, Guglielmo B J. Antimicrobial selection for hospitalized patients with presumed community-acquired pneumonia:a survey of nonteaching US community hospitals[J]. The Annals of Pharmacontherapy,2000,34:446-452.
    [65].Gray K. Consortia, Buying Groups, and Trends in Demand Aggregation[C].88th Annual International Conference Proceedings, Nashville, TN,2003.
    [66].Schotanus F, Telgen J, Boer L. Critical success factors for managing purchasing groups[J]. Journal of Purchasing & Supply Management,2010,16:51-60.
    [67].文晓巍,达庆利.变质产品供应链中多品种的订购策略研究[J].系统工程理论与实践,2006,26(2):43-48.
    [68].文晓巍,达庆利.一类供应链中多产品的订购策略及实证研究[J].管理工程学报,2007,21(1):56-60.
    [69].钟德强,罗定提,仲伟俊.数量折扣与联合采购战略价值分析[J].系统工程,2004,22(8):33-38.
    [70].汪漩,仲伟俊,梅姝娥.基于数量折扣的合作采购协调机制分析[J].东南大学学报(自然科学版),2006,36(1):168-173.
    [71].Gurnani H,2001. A study of quantity discount pricing models with different ordering structures:order coordination, order consolidation, and multi-tier ordering hierarchy[J]. International Journal of Production Economics,72:203-225.
    [72].Meca A, Timmer J, Garcia-Jurado I, Borm P. Inventory games [J]. European Journal of Operational Research,2004,156:127-139.
    [73].Meca A, Garcia-Jurado I, Borm P. Cooperation and competition in inventory games [J]. Mathematical Methods of Operational Research,2003,57:481-493.
    [74].Dror M, Hartman B C. Shipment consolidation:Who pays for it and how much? [J]. Management Science,2007,53(1):78-87.
    [75].Zhang J. Cost allocation for joint replenishment models [J]. Operations Research,2008, 57:146-156.
    [76].Muller A, Scarsini M, Shaked M. The newsvendor game has a nonempty core [J]. Games and Economic Behavior,2002,38:118-126.
    [77].Chen X. Inventory centralization games with price-dependent demand and quantity discount [J]. Operations Research,2009,57(6):1394-1406.
    [78]. Chen X, Zhang J. A stochastic programming duality approach to inventory centralization games[J]. Operations Research,2009,57(4):840-851.
    [79].Heuvel, W van den, Borm, P, Hamers, H. Economic lot-sizing games[J]. European Journal of Operational Research,2007,176(2):1117-1130.
    [80].Tijs S H, Driessen T S H. Game Theory and Cost Allocation Problems[J]. Management Science,1986,32:1015-1028.
    [81].Fragnelli V, Garcia-Jurado I, Norde H, Patrone F, Tijs S. How to Share Railways Infrastructure Costs?[A]. In:Patrone F, Garcia-Jurado I, Tijs S(eds.). Game practice:contributions from applied game theory. Kluwer Academic Publishers,2000:91-102.
    [82].李军,蔡小强.基于合作博弈的易腐性产品运输设施选择的费用分配[J].中国管理科学,2007,15(4):51-58.
    [83].李军,蔡小强.易腐性产品运输设施选择博弈[J].管理科学学报,2009,12(1):28-37.
    [84].刘迎,刘志学,全春光,邹安全.高校后勤采购联盟联合采购模型与利益分配[J].系统工程,2008,26(10):26-31.
    [85]. Sanchez-Soriano J, N Llorca, A Meca, Molina E, Pulido M. An integrated transport system for Alacant's students. University [J]. Annals of Operations Research,2002,109:41-60.
    [86].Homburg C, Scherpereel P. How should the cost of joint risk capital be allocated for performance measurement? [J]. European Journal of Operational Research,2008,187(1): 208-227.
    [87].董保民,王运通,郭桂霞.合作博弈论[M].北京:中国市场出版社,2008.
    [88]. Driessen T. Cooperative Games, Solutions and Applications [M]. The Netherlands:Kluwer Academic Publishers, Dordrecht,1988.
    [89].郑立群,吴育华,夏庆.同质成本分配模型的公理体系及分配方法研究[J].天津大学学报,2001,34(5):591-595.
    [90].郑立群,李瑞函,吴育华.异质成本分配模型的公理体系及分配方法[J].管理科学学报,2003,6:15-20.
    [91].Chwe M. Farsighted coalitional stability[J]. Journal of Economic Theory,1994,63(2): 259-325.
    [92].Granot D, Sosic G. Formation of alliances in Internet-based supply exchanges[J]. Management Science,2005,51(1):92-105
    [93].Nagarajan M, Sosic G Stable farsighted coalitions in competitive markets[J], Management Science,2007,53(1):29-45
    [94]. Sosic G. Transshipment of inventories among the retailers:Myopic vs. farsighted stability [J]. Management Science,2006,52(10):1493-1508.
    [95].Kemahhoglu-Ziya E, Bartholdi J J. Centralizing Inventory in Supply Chains by Using Shapley Value to Allocate the Profits[J]. Manufacturing & Service Operations Management,2010, DOI: 10.1287/msom.1100.0310.
    [96].Weng Z K. Channel coordination and quantity discounts[J]. Management Science,1995, 9(41):1509-1522.
    [97].Monahan J P. A quantity discount pricing model to increase vendor profits[J]. Management Science,1984,6(30):720-726.
    [98].Lee H L, Rosenblatt M J. A generalized quantity discount pricing model to increase supplier profits[J]. Management Science,1986,9(32):156-162.
    [99].安恰,骆建文.基于价格折扣的易腐品供应链库存的协作控制研究[J].管理工程学报,2007,21(4):80-84.
    [100].Weng Z K. Modeling quantity discounts under general price-sensitive demand functions: optimal polices and relationships[J]. European Journal of Operational Research,1995, 86:300-314.
    [101].曹宗宏,周永务.价格和库存影响需求的供应链折扣定价模型[J].系统工程学报,2008,23(1):67-73.
    [102].Corbett C J, de Groote X. A supplier's optimal quantity discount policy under asymmetric information[J]. Management Science,2000,3(46):444-450.
    [103].张钦红,骆建文.不对称信息下易腐物品供应链最优数量折扣合同研究[J].系统工程理论与实践,2007,12:23-28.
    [104].张旭梅,邱晗光,陈军.补货能力影响部分短缺量拖后率的边补货边需求EOQ模型[J].中国管理科学,2008,16(1):96-103.
    [105].Biskup D, Simons D. The effect of capital lockup and customer trade credits on the optimal lot size—a confirmation of the EPQ [J]. Computers & Operations Research,2003,30(10): 1509-1524.
    [106].Leung K N F, A generalized geometric-programming solution to "An economic production quantity model with flexibility and reliability considerations" [J]. European Journal of Operational Research,2007,176:240-251.
    [107]. Young H P,1994. Cost allocation[A]. In:Handbook of game theory with economic applications, Volume 2. Amsterdam:Elsevier Science B. V.,1994:1193-1235.
    [108]. Young H P. Cost allocation:Methods, Principle, Application [M]. Amsterdam:Elseviers Science Publishers B. V,1994.
    [109].Hartman B C, Dror M. Cost allocation in continuous-review inventory models[J]. Naval Research Logistics,1996,43:549-561.
    [110].谢识予.经济博弈论[M].上海:复旦大学出版社,2010.
    [111]. Granot D, Huberman G. The relationship between convex games and minimum cost spanning tree games:A case for permutationally convex games[J]. SIAM Journal of Algebra and Discrete Methods,1982,3:288-292.
    [112].陈六新.易腐品的库存控制研究[D].成都,西南交通大学,2010.
    [113].Sprumont Y. Population monotonic allocation schemes for cooperative games with transferable utility. Games and Economic Behavior [J].1990,2:378-394.
    [114]. Chang C T,2004. An EOQ model with deteriorating items under inflation when supplier credits linked to order quantity [J]. Int. J. Production Economics,88:307-316.
    [115]. Gupta D, Wang L. A stochastic inventory model with trade credit[J]. Manufacturing & Service Operations Management.2009,11(1):4-18.
    [116]. Li J, Mao J. An inventory model of perishable item with two types of retailers, Journal of the Chinese Institute of Industrial Engineers.2009,26(3):176-183.
    [117]. Huang Y F. Optimal retailer's ordering policies in the EOQ Model under trade credit financing. Journal of the Operational Research Society,2003,54:1011-1015.
    [118]. Huang Y F. Optimal retailer's replenishment decisions in the EPQ model under two levels of trade credit policy. European Journal of Operational Research,2007,176:1577-1591.
    [119]. Teng J T, Chang C T. Optimal manufacturer's replenishment policies in the EPQ model under two levels of trade credit policy. European Journal of Operational Research,2009,195: 358-363.
    [120].张晓建,戴更新,秦君雪.基于两级信用支付和合作策略的EPQ模型.2009,9(11):3013-3016.
    [121]. Teng J T. Optimal ordering policies for a retailer who offers distinct trade credits to its good and bad credit customers. International Journal of Production Economics,2009,119:415-423.
    [122].葛莉.金融危机下企业发展信用销售的建议[J].桂林航天工业高等专科学校学报,2009,55:320-322.
    [123]. Shi S, Zhang S. An incentive-compatible solution for trade credit term incorporating default risk[J]. European Journal of Operational Research,2010,206:178-196.
    [124].Bhattachaya D K. On multi-item inventory [J]. European Journal of Operational Research, 2005,162:786-791.
    [125].Driessen T S H, Tijs S H. The T-value, the Core and Semiconvex Games[J]. International Journal of game theory,1985,14:229-248.
    [126].Burwell T H, Dave D S, Fitzpatrick K E, Roy M R. Economic lot size model for price-dependent demand under quantity and freight discounts[J]. International Journal of Production Economics,1997,48(2):141-155.
    [127].Rieksts B Q, Ventura J A, Optimal inventory policies with two modes of freight transportation[J]. European Journal of Operational Research,2008,186:576-585.
    [128].王庆金,王炬香,于庆东.两级供应链库存-运输优化模型研究[J].科学技术与工程,2007,7(24):6375-6378.
    [129].高峻峻,王迎军,郭亚军,赵先德.弹性需求下供应链契约中的Pareto优化问题[J].系统工程理论方法与应用,2002,11(1):36-40.
    [130]. Fiestras-Janeiro M G, Garcia-Jurado I, Meca A, Mosquera M A. Cost allocation in inventory transportation systems, Top,2011, doi:10.1007/s11750-011-0207-7.
    [131].胡定寰.“农超对接”怎样做?[M].北京:中国农业科学技术出版社,2010.
    [132].龚树生,梁怀兰.生鲜食品的冷链物流网络研究[J].中国流通经济,2006,7-9.
    [133].王文铭,刘晓亮.我国冷链物流能耗现状及对策研究[J].中国流通经济,2011,29-33.
    [134]. Cai X. Chen J, Xiao Y B, Xu X L. Optimization and Coordination of Fresh Product Supply Chains with Freshness Keeping Effort [J]. Production and Operations Management,2010,19 (3):261-278.
    [135]. Xu X. Optimal Decisions in a Time-Sensitive Supply Chain with Perishable Products [D]. Hong Kong:The Chinese University of Hong Kong,2006.
    [136]. Kim K H, Hwang H. Simultaneous Improvement of Supplier's Profit and Buyer's Cost by Utilizing Quantity Discount[J]. The Journal of the Operational Research Society,1989,40(3): 255-265.
    [137].魏国辰,肖为群.基于供应链管理的农产品流通模式研究[M].北京:中国物资出版社,2009.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700