A multi-objective robust optimization approach for green location-routing planning of multi-modal transportation systems under uncertainty
Title
A multi-objective robust optimization approach for green location-routing planning of multi-modal transportation systems under uncertainty
Subject
Risk
Optimization
Petroleum industry
Hazardous materials
Carbon emissions
Petroleum transportation
Multimodal transportation
Materials handling
Hazards
Carbon
Bounded objective function
Hazardous materials transportation
Multi-modal transportation network
Robust counterpart optimization
Description
Carbon emission has been widely studied in transportation research in general, yet research on carbon emission specifically in hazardous material transportation remains surprisingly limited. This study presents a multi-objective model for locating transfer points and routing in a multi-modal network of hazardous materials, accounting for multiple different uncertainties, while minimizing carbon emission alongside risk and cost of transportation. This study models uncertainties in accident probabilities, emission factors, and costs of establishing transfer points with polyhedral uncertainty sets, and utilizes robust counterpart optimization to tackle these uncertainties. The application of the proposed approach is examined in a case study of petroleum product transportation. The results of our analyses confirm the effectiveness and robustness of the developed model. Specifically, it is found that the proposed model can reduce carbon emissions by 873 g, and individuals at risk by 0.28, for every additional dollar spent.
125293
291
Publisher
Journal of Cleaner Production
Date
2021
Contributor
Ziaei, Zahra
Jabbarzadeh, Armin
Type
journalArticle
Identifier
0959-6526
10.1016/j.jclepro.2020.125293
URL
https://www.sciencedirect.com/science/article/pii/S0959652620353385
Collection
Citation
“A multi-objective robust optimization approach for green location-routing planning of multi-modal transportation systems under uncertainty,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/26212.