The Application of Simulation Technology in Distribution Center

Yan Jia; Peng Fei Jiang

doi:10.4028/www.scientific.net/AMM.865.675

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 865The Application of Simulation Technology in...

The Application of Simulation Technology in Distribution Center

Abstract:

Considering the complexity of workflow in distribution center and the ability of simulation for analysis and optimization of such systems, the application of simulation technology in distribution center is researched in this paper. Taking the distribution center of J mall for example, the third distribution mode of the mall is studied, which procures goods from many suppliers and stores in its own warehouse, then delivers them to the customers according to the different orders. Through the analysis of the Flexsim simulation software, the problems existing in the distribution center are found. And according to the analysis, the improvement suggestions are given and verified by simulation. By comparing the simulation results, it can be concluded that the waiting wastes in receiving area, temporary storage and dispatch area are decreased, and the average utilization rates of the stations become more appropriate. Finally, the output quantities of dispatch area are increased and the efficiency of distribution center is improved.

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Periodical:

Applied Mechanics and Materials (Volume 865)

Pages:

675-680

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.865.675

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Online since:

June 2017

Authors:

Yan Jia*, Peng Fei Jiang

Keywords:

Distribution Center, Flexsim, Simulation

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* - Corresponding Author

References

[1] I. Peker, B. Baki, M. Tanyas, et al, Logistics center site selection by ANP/BOCR analysis: A case study of Turkey, J. Intell. Fuzzy Syst. 30(4) (2016) 2383-2396.

DOI: 10.3233/ifs-152007

Google Scholar

[2] A. A. Tako, S. Robinson, The application of discrete event simulation and system dynamics in the logistics and supply chain context, Dec. Sup. Syst. 52(4) (2012) 802-815.

DOI: 10.1016/j.dss.2011.11.015

Google Scholar

[3] M. Ahmadi, The application of system dynamics and discrete event simulation in supply chain management of Swedish manufacturing industries, Production Engineering Human Work Science & Ergonomics, (2012).

Google Scholar

[4] X. Y. Tang, J. Shi, L. C. Chen, et al, Logistics simulation and optimization design of one production line based on Flexsim, Appl. Mech. Mater. 397-400 (2013) 2622-2625.

DOI: 10.4028/www.scientific.net/amm.397-400.2622

Google Scholar

[5] D. Liu, G. Zhang, X. Zhao, et al, A simulation and experiments of rapeseed logistics supply system based on Flexsim software, Commun. Comp Inform. Sci. 175 (2011) 207-212.

DOI: 10.1007/978-3-642-21783-8_34

Google Scholar

[6] X. Sun, Modeling and simulation of convenience food sorting system, Adv. Mater. Res. 915-916 (2014) 407-410.

DOI: 10.4028/www.scientific.net/amr.915-916.407

Google Scholar

[7] X. Ma, Y. Yin, T. Liu, The simulation and optimizing of different distribution strategies for the distribution center based on Flexsim. Proceedings of IEEE International Conference on Automation and Logistics, 1(2011) 201-204.

DOI: 10.1109/ical.2011.6024712

Google Scholar

[8] H. Meng, H. Wang, J. J. Wang, et al, Logistics simulation of BF-BOF region based on Witness, Adv. Mater. Res. 433-440 (2012) 2451-2458.

DOI: 10.4028/www.scientific.net/amr.433-440.2451

Google Scholar

[9] S. W. Hou, Distribution center logistics optimization based on simulation, Res. J. Appl. Sci. Eng. Tech. 5(21) (2013) 5107-5111.

Google Scholar