The Planning of the Dynamic Path of the 3rd Party Logistics Center, which Based on the Ant Colony Optimization

Yue Ran Zhen; Jia Cheng Huang; Wen Yong Li; Fu Xiang Li; Yang Zhang

doi:10.4028/www.scientific.net/AMM.253-255.1472

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 253-255The Planning of the Dynamic Path of the 3rd Party...

The Planning of the Dynamic Path of the 3rd Party Logistics Center, which Based on the Ant Colony Optimization

Abstract:

Logistics profits which is the third profit source, it has become a "black hole" of the profits of the entire supply chain. At all the logistics costs, the proportion of transport costs is approximately 35% to 60%, thus by through reducing transportation costs, can we improve the effectiveness of the logistics system, and finally to maximize profits. Dynamic path planning of third-party logistics centers undoubtedly reduces transportation costs and optimizes logistics management research priority. The article first introduces the TSP and VRP, both are classic path planning methods, and then through the basic idea and the basic principles of detailing the Ant colony optimization to illustrate the wide range of applications of it in third-party logistics.

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Periodical:

Applied Mechanics and Materials (Volumes 253-255)

Pages:

1472-1475

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.253-255.1472

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Online since:

December 2012

Authors:

Yue Ran Zhen, Jia Cheng Huang, Wen Yong Li, Fu Xiang Li, Yang Zhang

Keywords:

Ant Colony Optimization (ACO), Third-Party Logistics, Vehicle Routing Problem

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References

[1] L. C. Yeun, W. R. Ismail, K. Omar, M. Zirour, "VEHICLE ROUTING PROBLEM: MODELS AND SOLUTIONS" Journal of Quality Measurement and Analysis, vol. 4, pp.205-218, 2008.

Google Scholar

[2] Sun Yan, Jun-Liang Sang, "Research on several vehicle routing algorithms," Traffic Information and Security, 2009, 27(1): 21-24.

Google Scholar

[3] Chen, C.H., Ting, C.J., "An improved ant colony system algorithm for the vehicle routing problem," Journal of the Chinese Institute of Industrial Engineers, vol. 23, Feb. 2006, p.115–126.

DOI: 10.1080/10170660609509001

Google Scholar

[4] Dorigo M, Stützle T. Ant colony optimization. MIT Press, Cambridge, 2004.

Google Scholar

[5] Lin, S. and B. Kernighan, "An Efficient Heuristic for the Traveling Salesman Problem," Operations Research, vol.21, No.2, 1973, pp.498-516.

DOI: 10.1287/opre.21.2.498

Google Scholar

[6] M. Dorigo, V. Maniezzo, A. Colorni, The ant system: Optimization by a colony of cooperating agents, IEEE Transactions on Systems, Man and Cybernetics 26 (1996) 29–41.

DOI: 10.1109/3477.484436

Google Scholar