Rearch on Winning Decision’s Optimizing Algorithm for Combinatorial Bidding Purchase of Service in the Supply Chain

Jin Lin Ma; Li Juan Qian; Zhi Qiang Liu

doi:10.4028/www.scientific.net/AMR.461.232

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461Rearch on Winning Decision’s Optimizing Algorithm...

Rearch on Winning Decision’s Optimizing Algorithm for Combinatorial Bidding Purchase of Service in the Supply Chain

Abstract:

For the actual requirements of combinatorial purchase of service in the supply chain, the process of Euclidean distance is presented in this paper to solve the winning decision problem. The method uses mixed set programming to describe all the relations and constraints in the decentralized object programming models which are different in orientation and dimension. The optimizing algorithm is designed and iterated for minimum distance to find the satisfactory solution. A numerical example confirms the validity and practicability of the algorithm

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

232-236

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.232

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Online since:

February 2012

Authors:

Jin Lin Ma, Li Juan Qian, Zhi Qiang Liu

Keywords:

Combinatorial Purchase, Optimizing Algorithm, Service, Supply Chain, Winning Decision

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