
Study on multimodal network expansion for hazardous materials based on disruption
Author(s) -
Lutong Yu,
Lingyun Song
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1693/1/012051
Subject(s) - hazardous waste , flow network , pareto principle , computer science , mathematical optimization , operations research , engineering , mathematics , waste management
This paper studies the multimodal network expansion problem for hazardous materials. In this study, the transportation characteristics of hazardous materials and disruption are considered, the mixed integer probability robust model is established with risk and cost as the objective. A numerical case is solved by CPLEX, and the decision of network expansion and flow distribution is obtained. Through the comparison between the robust model and the traditional model, it is proved that the robust model can complete the transport of hazardous materials in the network with lower cost-risk. The paper also provides advice to decision-makers with different risk preferences through the Pareto frontier.