Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering
Optimization of Loading Scheme on Railway Dangerous Goods
Publication: ICTE 2019
ABSTRACT
Railway dangerous goods storage yard has many characteristics, such as large storage types, large storage capacity. The optimization of railway dangerous goods loading scheme can be regarded as an optimization problem related to the operation route. According to the characteristics of dangerous goods storage, this paper establishes a mathematical model of dangerous goods loading scheme, and uses genetic algorithm to solve it. The optimal goods allocation, loading scheme, and the minimum operating time are obtained.
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ACKNOWLEDGEMENT
The paper is partially supported by the National Key Research and Development Program of China (GRANT No. 2016YFC0802209).
REFERENCES
LI, Jing (2018). “Optimization Model and Application Research of P Company's Cargo Storage Location.” Southwest Petroleum University.
LIU, Zenghui (2018). “Research on Optimization of Storage Location of Container Based on Genetic Simulated Annealing Algorithm.” Modern Industrial Economy and Informationization, 2018,8(17): 23-24.
LIU, Weiwei (2018). “Study on the warehousing slotting optimization based on improved adaptive genetic algorithm.” Computer Era, 2018(08): 57-60.
MA, Jianwen, CAI, Boni, LI, Chen (2018). “Relationship between fire-fighting facilities and general layout in dangerous goods logistics par.” Port & Waterway Engineering, 2018(06): 302-306.
WANG, Lei (2018). “Optimization research on warehouse management of hazardous goods under uncertainty.” Southwest Jiaotong University.
XIA, Xiankang (2015). “Optimization of picking route for elevated warehouse based on genetic algorithm.” Railway Freight Transport, 2015,33(09): 39-42.
ZHAI, haitao (2018). “Research on Optimization of Freight Position in SR Automated Warehouse.” Changchun University Of Technology.
Information & Authors
Information
Published In
ICTE 2019
Pages: 470 - 476
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
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Authors
Affiliations
Southwest Jiaotong Univ., Chengdu. E-mail: [email protected]
Southwest Jiaotong Univ., Chengdu (corresponding author). E-mail: [email protected]
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