›› 2014, Vol. 20 ›› Issue (10): 2599-2607.DOI: 10.13196/j.cims.2014.10.027

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Enterprise service composition method for cluster supply chain

  

  • Online:2014-10-31 Published:2014-10-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.61175066,60905041,61300124),the Program for Science & Technology Innovation Talents in Universities of Henan Province,China(No.2012HASTIT013),the Foundation for the Excellent Youth Scholars of University of Henan Province,China(No.2011GGJS-056),and the Program for Innovative Research Team of Henan Polytechnic University,China(No.T2013-3).

面向集群式供应链的企业服务组合方法

薛霄1,2,刘志中1,黄必清2   

  1. 1.河南理工大学计算机科学与技术学院
    2.清华大学国家CIMS工程技术研究中心
  • 基金资助:
    国家自然科学基金资助项目(61175066,60905041,61300124);河南省高校科技创新人才资助项目(2012HASTIT013);河南省高校青年骨干教师资助项目(2011GGJS-056);河南理工大学创新型科研团队支持计划资助项目(T2013.3)。

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Abstract: Aiming at the enterprise collaboration in in cluster supply chain,the appropriate enterprise services composition could be selected rapidly.A virtual service based on horizontal collaboration between enterprises was proposed,and its Quality of Service (QoS) calculation formula was proposed.Based on the available virtual services,the Culture-Social Cognitive Optimization (C-SCO) algorithm was proposed to improve the efficiency of finding the optimal solution.Simulation results validated the effectiveness of this algorithm.

Key words: cluster supply chain, enterprise service composition, virtual service, culture-social cognitive optimization algorithm

摘要： 针对集群式供应链中企业协作的特点,快速选取出合适的企业服务组合方案,提出反映企业间横向协同的虚拟服务,并给出了虚拟服务的服务质量属性计算公式和筛选方法|以此为基础提出文化社会认知算法,用于求解包含虚拟服务的企业服务组合问题。实验结果表明,该算法具有较好的搜索能力和收敛速度,能够有效解决集群企业的服务组合问题。

关键词: 集群式供应链, 企业服务组合, 虚拟服务, 文化社会认知算法

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