• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (3): 173-177.

• 论文 • Previous Articles     Next Articles

Research and optimization on industrial collaboration
matching algorithms based on industrial chain    

XU Jie   

  1. (Shaanxi SeedSoft Software Co.Ltd,Xi’an 710065,China)
  • Received:2011-04-20 Revised:2011-08-17 Online:2013-03-25 Published:2013-03-25

Abstract:

The sharp development of the industrial chain leads to lots of problems, such as the lack of chain core, the imperfect connection of industrial chains, the combination of the strong enterprises not to realize the complement of the advantages, and so on. Aiming at the phenomenon, this paper analyses and compares several industrial chain collaboration platforms realized with the most advanced technologies and then proposes a set of industrial collaboration matching algorithms for the industrial chain. Based on the theory for industry chain composed of supply chain, corporate chain, value chain and space chain, the algorithm can find out the relation between the industrial chain and enterprises by collecting the related basis resources of the enterprises, and further dig out the leading enterprise with obvious advantages. In addition, the algorithm can optimize the relation by the creditworthiness model. The data analysis shows that the industrial collaboration matching algorithms and the optimized method can provide a feasible basis of the theory for industry chain to realize the scientific orderly development.

Key words: industrial chain;industrial collaboration matching algorithm;chain correlation degree