Critical Path Detection for Civil Aircraft Collaborative Supply Network

Chen Wang; Li Lan Liu; Shao Qun Luan; Tao Yu

doi:10.4028/www.scientific.net/AMR.452-453.129

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 452-453Critical Path Detection for Civil Aircraft...

Critical Path Detection for Civil Aircraft Collaborative Supply Network

Abstract:

Civil aircraft is a complex product to manufacture, and the collaborative supply network consist of grades suppliers plays an important part in the progress of development. Due to the interferences from every kind of uncertainties to the network, it’s necessary to find out the critical supply path which decides the completion date for the network going well. This paper first sets the supply network model based on the hierarchical structure of civil aircraft, and then uses Dijkstra and ant colony optimization (ACO) searching for the critical path respectively, in the last the two methods are compared in order to prove performance and superiority.

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Periodical:

Advanced Materials Research (Volumes 452-453)

Pages:

129-133

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.452-453.129

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Online since:

January 2012

Authors:

Chen Wang, Li Lan Liu, Shao Qun Luan, Tao Yu

Keywords:

Ant Colony Optimization (ACO), Collaborative Supply Network, Critical Path, Dijkstra

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