Chapter
Apr 26, 2012
Intelligent Scheduling Method of Molten Iron Transportation of Steel Enterprise
Authors: De-Hong Cong [email protected], Jia Wang, Xing-gang Liu, Xiao-chuan Luo, and Shan-qing Li [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
With the backdrop of railway transportation system in the steel enterprises, this article concerns about the process of molten iron transportation, and it also make a research on the intelligent scheduling about path selection during the molten iron transportation scheduling, avoiding locomotive collision, and vehicles optimal combination. Based on the railway section booking and collision detection model, this paper establishes near neighbor distribution, process scheduling and optimal grouping method to schedule molten iron transportation. Considering the need of molten iron and transportation distance, we can obtain the optimal number of vehicles by dynamic programming. After simulation based on the field data, the results indicate that the key technique of intelligent scheduling is practical.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Chemical compounds
- Chemicals
- Chemistry
- Engineering materials (by type)
- Environmental engineering
- Highway transportation
- Infrastructure
- Intelligent transportation systems
- Iron (material)
- Iron compounds
- Materials engineering
- Metals (material)
- Rail transportation
- Railroad trains
- Steel
- Traffic accidents
- Traffic engineering
- Traffic management
- Transportation engineering
- Transportation management
- Vehicles
Authors
Affiliations
Key Laboratory of Process Industry Automation, MOE., Northeastern University, 110004, Shenyang, China. E-mail: [email protected]
Jia Wang
Key Laboratory of Process Industry Automation, MOE., Northeastern University, 110004, Shenyang, China
Xing-gang Liu
Key Laboratory of Process Industry Automation, MOE., Northeastern University, 110004, Shenyang, China
Xiao-chuan Luo
Key Laboratory of Process Industry Automation, MOE., Northeastern University, 110004, Shenyang, China
Baosteel Technology Center, 201900, Shanghai, China. E-mail: [email protected]
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