Logistics System Simulation Optimization Process

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Abstract:

Simulation method to optimize logistics system was studied. The process of this method were pointed out, which main process were DOE and AVONA. Analysis of automatic sorting system based on this method, the significant factors influencing were renovated, including scheduling strategy and equipment technology, so the system was optimized. Thus draw the conclusion: (1)Simulation modeling showed the operation data of logistics system without conditions in physical testing; (2) Method of DOE and mathematical statistics could be selected optimal schemes and pointed out the significant factors that influence efficiency of the system; (3)Reasonable logistics scheduling strategy and renovating equipment technology of significant factors were the fundamental method to optimize logistics system.

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963-966

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. Wang, L. N. Cai, X. J. Yue, The development of the logistics system design using simulation, J. Manufacturing Automation. 26 (2004) 5-8.

Google Scholar

[2] Z. H. Jin, Unisonous scheduling on logistics, China logistics publishing press, Beijing, (2008).

Google Scholar

[3] S. H. Dong, X. G. Zhou, N. Zhao, Logistics system simulation, University of post and telecommunication press, Beijing, (2008).

Google Scholar

[4] Siemens PLM Software, Pant simulation transport library reference manual: Library of material flow equipment, (2008).

Google Scholar

[5] R. G. Dao, G. R. Wu, G. F. Zhang, et al, A queueing model without customer waiting applied in flexible production line to optimize the number of servers, C. 2011 Fourth International Conference on Information Management, Innovation Management and Industrial Engineering: ICIII 2011 Volume I. Shenzhen, China, (2011).

DOI: 10.1109/iciii.2011.31

Google Scholar