Study on Risk of Logistics and Transport in Digital Manufacturing Environment

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Abstract:

For logistics and transport in digital manufacturing environment security status quo, study and proposed transportation security risk evaluation index system; using whitening weight function design specific transportation security risk assessment model; verified by an example, that the evaluation method is more scientific and accurate comprehensive evaluation transportation security situation, with the characteristics of the feasibility and operability.

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210-213

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bruee J Thomson (1999) International co- operation in hazardous materials accident prevention Loss Prevention in the Process industries 1(3): 217- 225.

DOI: 10.1016/s0950-4230(98)00052-7

Google Scholar

[2] Roberto Bubbico (2000) Candia Ferrari Barbara Mazzarotta Risk analysis of LPG transport by road and rail Loss Prevention in the Process Industries 2(1): 27-31.

DOI: 10.1016/s0950-4230(99)00057-1

Google Scholar

[3] MA Jun, WANG Rong (2012) Application of GPS Technology in Vehicle Management: Illustrated with China Merchants Group Logistics. Logistics Technology 3(6): 89-92.

Google Scholar

[4] D W Song (2007) P MP antacids global supply chain and port/terminal: integration random petite nests 2007 International Conference on Logistics, Shipping and Port management 4(4): 58-67.

Google Scholar

[5] D W Song (2008) P MP Antacids. Evaluating the integration of seaport container terminals in supply chains International Journal of Physical Distribution & Logistics Management 5(6): 562- 584.

DOI: 10.1108/09600030810900969

Google Scholar

[6] Liu, Quan, Wang, Jin (2006) A novel digital image watermarking scheme on copyright protection based on network manufacture environment. Journal of Wuhan University of Technology 28(1): 552-556.

Google Scholar

[7] Megahed Fadel M., Camelio Jaime A. (2012) Real-time fault detection in manufacturing environments using face recognition techniques. Journal of Intelligent Manufacturing 23(3): 393-408.

DOI: 10.1007/s10845-010-0378-3

Google Scholar