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A pareto-based multi-objective network design approach for mitigating the risk of hazardous materials transportation

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  • Elsevier
Hazardous materials (HazMat) transportation is one of the indispensable links in the chemical process industry and is closely related to safety, security, and environmental concerns. HazMat transportation routing is a major proactive risk management measure. Most related studies focus on diminishing the transportation risk for one single HazMat shipment. This work addresses a global perspective on the problem where the correlations of multiple simultaneous HazMat shipments are considered. A multi-objective transportation network design model is defined to optimize the objectives of the transportation risk and the transportation cost. A well-designed Pareto-based hybrid heuristic algorithm is proposed for model solving, which integrates a linear decomposition procedure for initial population construction, a Pareto-based scatter search procedure for population evolution, and a variable neighborhood search procedure for solution improvement. Computational results indicate that the proposed algorithm is competitive in solving large-scale instances since it is able to strike a great balance between effectiveness and efficiency. The detailed solution analysis shows that the proposed approach can effectively coordinate multiple simultaneous HazMat transportation processes. Moreover, we find that performing multiple short-distance shipments would significantly reduce the total transportation risk, but results in the higher transportation cost. This work can provide a set of Pareto optimal transportation networks for different industrial application scenarios to achieve the trade-off between economic and safety.(c) 2022 Institution of Chemical Engineers. Published by Elsevier Ltd. All rights reserved.

Hazardous materials transportationChemical process industryProactive risk managementTransportation network designPareto optimalVEHICLE-ROUTING PROBLEMVARIABLE NEIGHBORHOOD SEARCHCYCLE-BASED NEIGHBORHOODSPROCESS SAFETYEVOLUTIONARY ALGORITHMMETHODOLOGYPERSPECTIVEMANAGEMENT

Men, Jinkun、Chen, Guohua、Zhou, Lixing、Chen, Peizhu

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South China Univ Technol

2022

10.1016/j.psep.2022.03.048

Transactions of The Institution of Chemical Engineers

Transactions of The Institution of Chemical Engineers

ISSN：0957-5820
年,卷(期)：2022.161
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