基于多支持向量机系统的供应链伙伴关系协同预警框架

• 论文 •

基于多支持向量机系统的供应链伙伴关系协同预警框架

李辉，李向阳，王颜新，

1.哈尔滨工业大学技术政策管理国家哲学社会科学创新基地，黑龙江哈尔滨 150001；2.哈尔滨工业大学管理学院，黑龙江哈尔滨 150001；3.哈尔滨工业大学计算机科学与技术学院，黑龙江哈尔滨 150001

收稿日期:2005-02-21 修回日期:2005-05-25 出版日期:2006-05-15 发布日期:2006-05-25
基金资助:
国家自然科学基金资助项目(70571019)；国家863/CIMS主题资助项目(2002AA413110)；国防科工委基础科研资助项目(A2320060097)。

Coordinated early warning of supply chain partnership based on multi-support vector machines system

LI Hui,LI Xiang-yang,WANG Yan-xin，

1.National Philosophy Social Science Innovation Base of Tech.,Policy and Management,Harbin Inst. of Tech.,Harbin 150001，China；2.Sch. of Management,Harbin Inst. of Tech.,Harbin 150001,China;3.Sch. of Computer S & T,Harbin Inst. of Tech.,Harbin 150001,China

Received:2005-02-21 Revised:2005-05-25 Online:2006-05-15 Published:2006-05-25
Supported by:
Project supported by the National Natural Science Foundation，China(No.70571019), the National High-tech.R&D Program for CIMS,China(No.2002AA413110),and the National Defense Basic Science and Rescarch Foundation，China(No.A2320060097).

摘要/Abstract

摘要： 为有效地支持供应链合作伙伴关系，保证供应链的协调性，提出了供应链伙伴关系发展程序和基于多支持向量机系统的分布式供应链伙伴关系协同预警框架，并研究了伙伴关系预警的多Agent实现。首先，论述了包括伙伴关系发展程序的供应链伙伴关系管理2维模型；其次，分析了供应链伙伴关系预警问题以及协同预警决策、支持向量机和分布式委员会机器的内在关联；再次，描述了基于多支持向量机系统的伙伴关系协同预警模型及工作原理，进而研究了多Agent的设计，包括多Agent模型、Agent群体目标和个体目标分析、Agent合作步骤论述。最后，通过示例说明了系统的工作流程。

关键词: 供应链管理, 伙伴关系发展程序, 关系预警, 多支持向量机系统

Abstract: To effectively support supply chain partnership and ensure better collaboration of supply chain,supply chain partnership development programs model and distributed supply chain partnership coordinated early warning framework based on multi support vector machines systems were proposed,subsequently its realization through multi-Agent technology was studied. Firstly,a 2D supply chain management model,including partner development program,was discussed. Then,early warning problem of supply chain partnership,and the internal relationship among supply chain partnership coordinated early warning decision,support vector machines and committee machine were analyzed. Thirdly,based on multi-support vector machines systems,coordinated early warning framework structure of supply chain partnership and its working principles were described. Thereafter,the design of multi-Agent which realized the model was discussed,including,Agent group object and individual object analysis,and Agent cooperation processes analysis. Finally,working process of the system was analyzed through an illustration.

Key words: supply chain management, partner ship development programs, partnership early warning, multi-support vector machines systems

中图分类号:

TP14
TP18

李辉，，李向阳，，王颜新，. 基于多支持向量机系统的供应链伙伴关系协同预警框架[J]. .

LI Hui，,LI Xiang-yang，,WANG Yan-xin，. Coordinated early warning of supply chain partnership based on multi-support vector machines system[J]. .

参考文献

［1］ XU Shujun，MA Shihua.On cooperation among supply chain corporations from the point of principal-Agent theory［J］.Computer Integrated Manufacturing Systems，2000，6（6）：16-19（in Chinese）.［许淑君，马士华.从委托－代理理论看我国供应链企业间的合作关系［J］.计算机集成制造系统，2000，6（6）：16-19.］

[2] LIU Liwen.Partnership in supply chain of enterprises［J］.Computer Integrated Manufacturing Systems，2001，7（8）：27-32（in Chinese）.［刘丽文.企业供需链中的合作伙伴关系问题［J］.计算机集成制造系统，2001，7（8）：27-32.］

[3] XU Shujun，MA Shihua.A study on trust crisis between inter-firm in supply chain in China［J］.Computer Integrated Manufacturing Systems，2002，8（1）：51-53（in Chinese）.［许淑君，马士华.我国供应链企业间的信任危机分析［J］.计算机集成制造系统，2002，8（1）：51-53.］

[4] RING P S，VAN DE VEN A H.Developmental processes of cooperative inter-organizational relationships［J］.Academy of Management Review，1994，19（1）：90-118.

[5] JOHNSTON D A，MCCUTCHEON D M，STUART F I，et al.Effects of supplier trust on performance of cooperative supplier relationships［J］.Journal of Operations Management，2004，22（1）：23-38.

[6] SMITH J B，BARCLAY D W.The effects of organizational differences and trust on the effectiveness of selling partner relationships［J］.Journal of Marketing，1997，61（1）：3-21.

[7] XU Qi，XU Fuyuan.Study on an supply and demand network mode：supply chain coordinated management and decision［J］.Systems Engineering-Theory & Practice，2003，26（8）：31-35（in Chinese）.［徐琪，徐福缘.供需网的一个节点：供应链协同管理与决策［J］.系统工程理论与实践，2003，26（8）：31-35.］

[8] CAO L J.Support vector machines experts for time series forecasting［J］.Neurocomputing，2003，（51）：321-339.

[9] POGGIO T，RIFKIN R，MUKHERJEE S，et al.General conditions for predictivity in learning theory［J］.Nature，2004，428（25）：419-422.

[10] VAPNIK V N.The nature of statistical learning theory［M］.New York,NY,USA：Springer，2000.

[11] CRISTIANINI N，SHAVE-TAYLOR J.An introduction to support vector machines［M］.New York，NY，USA：Cambridge，2000.

[12] SHENG Zhaohan，ZHAO Weidong，CHEN Guohua.Expert oriented optimization of knowledge base［J］.Journal of Management Sciences in China，2001，4（3）：40-45（in Chinese）.［盛昭澣，赵卫东，陈国华.面向专家的知识库优化［J］.管理科学学报，2001，4（3）：40-45.］

[13] AI W G，SUN J，LI H.Distributed marketing decision support system based on multi intelligent agent［A］.Proceedings of the Third International Conference on Machine Learning and Cybernetics［C］.New York,NY,USA:IEEE Press，2004.233-238.

[14] LI Changhong，LI Minqiang，KOU Jisong.On cooperation structure of multi-Agent［J］.Journal of Management Sciences in China，2003，6（5）：6-11（in Chinese）.［李常洪，李敏强，寇纪淞.多Agent合作结构研究［J］.管理科学学报，2003，6（5）：6-11.］

[15] WOOLDRIDGE M，JENNINGS N J.Cooperative problem solving［J］.Journal of Logic and Computation，1999，9（4）：563-592.

[16] MALONI M J，BENTON W C.Power influences in the supply chain［J］.Journal of Business Logistics，2000，21（1）：49-74.

[17] SUPPLY CHAIN COUNCIAL.SCOR white paper［EB/OL］.http://www.supply-chain.org/slides/SCOR_Overview_6.1.pdf，2004-08-13.

[1]	刘丁瑞,李登峰,郑小雪. 跨境电商环境下考虑渠道服务水平的产品定价研究[J]. 计算机集成制造系统, 2020, 26(8): 2278-2287.
[2]	杨天剑,孙娜. 运营商主导的手机供应链创新转型条件研究[J]. 计算机集成制造系统, 2017, 23(第9期): 2058-2067.
[3]	杨天剑,武兵,李主贺. 三种由零售商主导的双渠道供应链结构在生产成本扰动下的鲁棒性比较[J]. 计算机集成制造系统, 2016, 22(第3期): 846-858.
[4]	何波,张霞,王娟. 制造成本扰动下链与链竞争的定价和生产决策[J]. 计算机集成制造系统, 2015, 21(第12期): 3310-3318.
[5]	黄松1，杨超2，刘慧2. 指数需求下考虑绝对公平关切的供应链定价模型[J]. , 2013, 19 (04 ): 0-0.
[6]	陈敬贤，李国昊，施国洪. 含有顾客退货的零售商转载博弈[J]. , 2012, 18(10): 0-0.
[7]	王丽梅，姚忠，刘鲁. 基于需求价格相关商品的双源采购策略[J]. , 2012, 18(02): 0-0.
[8]	王素娟,，胡奇英. 基于延保服务吸引力指数的服务模式分析[J]. , 2010, 16(10): 0-0.
[9]	蔡建湖,王丽萍,韩毅. 供应商管理库存模式下的两次生产和两次补货模式[J]. , 2010, 16(06): 0-0.
[10]	曾丽明，韩瑞珠. 分布式库存管理系统仿真[J]. , 2010, 16(05): 0-0.
[11]	杨春节，何川. 基于蚁群算法的供应链滚动优化决策方法[J]. , 2010, 16(01): 0-0.
[12]	刘端阳，刘长青，黄德才+，朱凌，张良燕. 供应商管理库存环境下库存与发货策略研究[J]. , 2009, 15(03): 0-0.
[13]	唐加福，董颖，潘震东，张军. 租赁车辆运输外包模式下多次直接运输策略的集成库存运输计划[J]. , 2007, 13(06): 0-0.
[14]	何勇，　杨德礼，　吴清烈. 基于努力因素的供应链利益共享契约模型研究[J]. , 2006, 12(11): 0-0.
[15]	张炜，林杰. 动态条件下的供应链平稳性分析[J]. , 2006, 12(01): 0-0.