TY - JOUR
T1 - Multi-objective Location-Routing Model for Hazardous Material Logistics with Traffic Restriction Constraint in Inter-city Roads
AU - Hu, Hao
AU - Li, Xiang
AU - Zhang, Yuanyuan
AU - Shang, Changjing
AU - Zhang, Sicheng
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Nos. 71371027 , 71722007 ).
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Effective solutions to the hazardous material location and routing problem are of practical significance, for both logistics companies and government departments. However, most existing hazardous material location and routing studies lack certain practicabilities in dealing with real-life problems. In this paper, we present a novel multi-objective optimization method for finding the optimal routes in hazardous material logistics under the constraint of traffic restrictions in inter-city roads. In addition, to move the solution method closer to practical application, we propose to consider multiple paths between every possible origin-destination pair. The resulting multi-objective location-routing model is able to jointly address the important aspects of risk, cost, and customer satisfaction in hazardous material logistics management. A single genetic algorithm and an adaptive weight genetic algorithm are proposed to solve the proposed model respectively, whose chromosomes contain two types of genes, representing warehouses and transportation routes respectively. A real-world case study is provided to illustrate the efficacy of the proposed model and its associated solution method
AB - Effective solutions to the hazardous material location and routing problem are of practical significance, for both logistics companies and government departments. However, most existing hazardous material location and routing studies lack certain practicabilities in dealing with real-life problems. In this paper, we present a novel multi-objective optimization method for finding the optimal routes in hazardous material logistics under the constraint of traffic restrictions in inter-city roads. In addition, to move the solution method closer to practical application, we propose to consider multiple paths between every possible origin-destination pair. The resulting multi-objective location-routing model is able to jointly address the important aspects of risk, cost, and customer satisfaction in hazardous material logistics management. A single genetic algorithm and an adaptive weight genetic algorithm are proposed to solve the proposed model respectively, whose chromosomes contain two types of genes, representing warehouses and transportation routes respectively. A real-world case study is provided to illustrate the efficacy of the proposed model and its associated solution method
KW - hazardous material logistics
KW - location-routing model
KW - traffic restriction constraint
KW - adaptive weight genetic algorithms
KW - Hazardous material logistics
KW - Location-routing model
KW - Traffic restriction constraint
KW - Adaptive weight genetic algorithms
UR - http://www.scopus.com/inward/record.url?scp=85055878744&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2018.10.044
DO - 10.1016/j.cie.2018.10.044
M3 - Article
SN - 0360-8352
VL - 128
SP - 861
EP - 876
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -