Optimizing the Service Network Design Problem for Railroad Intermodal Transportation of Hazardous Materials
The service network design problem is one of the key problems in the field of railroad intermodal transportation of hazardous materials (hazmat). It lies in determining the frequency of the trains and the allocation of both hazardous and ordinary shipments to these trains, as well as the railroad co...
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| Veröffentlicht in: | Journal of advanced transportation Jg. 2022; S. 1 - 17 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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London
Hindawi
26.06.2022
John Wiley & Sons, Inc Wiley |
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| ISSN: | 0197-6729, 2042-3195 |
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| Abstract | The service network design problem is one of the key problems in the field of railroad intermodal transportation of hazardous materials (hazmat). It lies in determining the frequency of the trains and the allocation of both hazardous and ordinary shipments to these trains, as well as the railroad connecting plan of all shipments based on the established train formation plan. Based on a unified method, we build a multiobjective mixed-integer linear-programming model that comprehensively considers both hazardous and ordinary materials, the compatibility of goods and services, the capacity of the transfer station, and the delivery time limit of each shipment. An augmented ε-constraint algorithm is customized to solve the model. Computational results of a practical example in China show that an increase of 8.4 million yuan in the total cost could reduce nearly 24541 the total risk. Moreover, the algorithms comparison and sensitivity analysis indicate that the augmented ε-constraint algorithm is a more suitable approach to handle the model because of its advantage in the uniqueness of distinct nondominated solutions. Finally, the sensitivity analysis shows that the total cost and risk could simultaneously be reduced if the delivery time limit is relaxed or if the transfer time is shortened. |
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| AbstractList | The service network design problem is one of the key problems in the field of railroad intermodal transportation of hazardous materials (hazmat). It lies in determining the frequency of the trains and the allocation of both hazardous and ordinary shipments to these trains, as well as the railroad connecting plan of all shipments based on the established train formation plan. Based on a unified method, we build a multiobjective mixed-integer linear-programming model that comprehensively considers both hazardous and ordinary materials, the compatibility of goods and services, the capacity of the transfer station, and the delivery time limit of each shipment. An augmented ε-constraint algorithm is customized to solve the model. Computational results of a practical example in China show that an increase of 8.4 million yuan in the total cost could reduce nearly 24541 the total risk. Moreover, the algorithms comparison and sensitivity analysis indicate that the augmented ε-constraint algorithm is a more suitable approach to handle the model because of its advantage in the uniqueness of distinct nondominated solutions. Finally, the sensitivity analysis shows that the total cost and risk could simultaneously be reduced if the delivery time limit is relaxed or if the transfer time is shortened. |
| Audience | Academic |
| Author | Zhao, Jun Huang, Lixia |
| Author_xml | – sequence: 1 givenname: Lixia orcidid: 0000-0003-3138-7909 surname: Huang fullname: Huang, Lixia organization: School of Economics and ManagementChengdu Technological UniversityChengduSichuan 611730Chinacdut.edu.cn – sequence: 2 givenname: Jun surname: Zhao fullname: Zhao, Jun organization: School of Transportation and LogisticsSouthwest Jiaotong UniversityChengduSichuan 610031Chinaswjtu.edu.cn |
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| Cites_doi | 10.1016/s0927-0507(06)14009-8 10.1287/trsc.2016.0698 10.1016/j.cie.2019.05.027 10.1016/j.tre.2011.06.001 10.1016/j.trd.2016.06.002 10.1016/j.ejor.2016.03.036 10.1016/s0927-0507(06)14008-6 10.1016/j.ejor.2021.08.009 10.1016/j.tre.2015.02.003 10.1016/0191-2615(86)90019-6 10.1016/j.ejor.2021.07.031 10.1016/j.ejor.2019.12.028 10.1016/j.tre.2019.02.008 10.1016/j.omega.2019.06.004 10.1016/j.ejor.2021.02.009 10.1287/trsc.2019.0925 10.1016/j.amc.2009.03.037 10.1016/j.jrtpm.2019.06.001 10.1080/07408170008967432 10.1016/j.trb.2004.02.004 10.1016/j.amc.2013.03.002 10.1016/j.cie.2018.09.049 10.1016/j.cor.2016.10.005 10.1016/j.ejor.2009.06.005 |
| ContentType | Journal Article |
| Copyright | Copyright © 2022 Lixia Huang and Jun Zhao. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Lixia Huang and Jun Zhao. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.1155/2022/5191104 |
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| References | 22 23 25 Y. Chen (33) 2008 27 28 G. Lu (31) 2013 C. Railway freight (29) M. B. Pedersen (18) 2007 K. Sharypova (19) 2012; 398 L. Su (6) 2020; 54 10 12 13 14 15 16 Ministry of Chinese railways (34) 17 L. Huang (35) 2019; 25 M. Verma (11) 2012; 6 Y. Y. Haimes (24) 1971; 1 V. Taha (26) 2019; 135 1 2 3 4 5 7 8 W. Yu (32) 2010 9 C. Railway freight (30) 20 21 |
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| SubjectTerms | Algorithms Computer applications Consumption Cost analysis Design optimization Hazardous materials Hazardous substances Integer programming Intermodal Intermodal transportation Materials handling Methods Mixed integer Multiple objective analysis Network design Railroads Sensitivity analysis Shipments Shipments data Traffic congestion Traffic flow Trains Transfer stations Transportation Transportation industry Transportation planning Transportation services |
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| Title | Optimizing the Service Network Design Problem for Railroad Intermodal Transportation of Hazardous Materials |
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