Chapter
Apr 26, 2012
The Optimization of Non-Dense Loading Patterns of Perishable Goods by Railroad
Authors: Xiamiao Li [email protected], Feng Wang, and Mingming QiAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
The transport quality influences directly on the safety and quality of perishable goods. As to the loading of the perishable goods, the method of loading is one of the important techniques to ensure the quality of perishable goods. The well-established air circulation system should be established in a refrigerated transport vehicle or container and then the temperature can be under control. Based on the reality of perishable goods transportation on railroad, this paper takes the good air circulation system as the condition and sets the improvement of the capacity of the container as a goal, to build up the correspondingly mathematical model and hierarchical optimization strategy. According to the operation of the loading process of the perishable goods, a heuristic algorithm has been put forward to solve thes problem. Compared with past experiences, the method is more effective.
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© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Air temperature
- Algorithms
- Container shipping
- Design (by type)
- Engineering fundamentals
- Engineering mechanics
- Freight transportation
- Infrastructure
- Load factors
- Mathematics
- Models (by type)
- Optimization models
- Rail transportation
- Structural design
- Temperature (by type)
- Thermal properties
- Thermodynamics
- Transportation engineering
- Transportation management
- Transportation safety
Authors
Affiliations
School of Traffic and Transportation Engineering, Central South University, Changsha 410075, Hunan, China. E-mail: [email protected]
Feng Wang
School of Traffic and Transportation Engineering, Central South University, Changsha 410075, Hunan, China
Mingming Qi
School of Traffic and Transportation Engineering, Central South University, Changsha 410075, Hunan, China
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