NDLI: Research on dynamic scheduling operation method in supply chain based on Ant Colony Optimization

Content Provider	IEEE Xplore Digital Library
Author	Wang Xu Jia Yan-min Yu Tian-lai
Copyright Year	2008
Description	Author affiliation: Coll. of Civil Eng., Northeast Forestry Univ., Harbin (Wang Xu; Jia Yan-min; Yu Tian-lai)
Abstract	In order to improve the efficiency of supply chain dynamic scheduling, according to the essential operation characteristics and mechanism in supply chain dynamic scheduling, dynamic scheduling operation method in supply chain was studied through ant colony optimization algorithm. The supply chain dynamic scheduling based on ant colony optimization algorithm was simulated by experimental data. When generation iteration is 500 times, the power trend curve of optimal evaluation index is convergence in 115.156. The optimal scheme appears in generation 365. All orders are completed within constraint units. The production cost and the inventory cost are minimums. By comparison confirmed, the method has better optimal performance and adaptability. Dynamic scheduling operation method based on ant colony optimization is better than that of genetic algorithm and expert systems.
Starting Page	825
Ending Page	830
File Size	366188
Page Count	6
File Format	PDF
ISBN	9781424421701
ISSN	19354576
DOI	10.1109/INDIN.2008.4618216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-13
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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