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A load and time-dependent hazardous materials distribution problem in urban areas

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A load and time-dependent hazardous materials distribution problem in urban areas. / Karouti, Eleni; Androutsopoulos, Konstantinos N.; Zografos, Konstantinos G.
In: Journal of the Operational Research Society, 15.04.2025.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Karouti, E., Androutsopoulos, K. N., & Zografos, K. G. (2025). A load and time-dependent hazardous materials distribution problem in urban areas. Journal of the Operational Research Society. Advance online publication. https://doi.org/10.1080/01605682.2025.2489130

Vancouver

Karouti E, Androutsopoulos KN, Zografos KG. A load and time-dependent hazardous materials distribution problem in urban areas. Journal of the Operational Research Society. 2025 Apr 15. Epub 2025 Apr 15. doi: 10.1080/01605682.2025.2489130

Author

Karouti, Eleni ; Androutsopoulos, Konstantinos N. ; Zografos, Konstantinos G. / A load and time-dependent hazardous materials distribution problem in urban areas. In: Journal of the Operational Research Society. 2025.

Bibtex

@article{0370c7a575684d45a57ce3b724734d51,
title = "A load and time-dependent hazardous materials distribution problem in urban areas",
abstract = "The objective of this paper is to model and solve the hazardous materials distribution problem in which a set of orders is serviced by a heterogeneous fleet of tank trucks. The objective of the problem is to determine the delivery routes of the trucks so that all the orders are serviced at the minimum traversed distance and transportation risk. A new transportation risk measure is proposed, which takes into account: (i) the population exposed within a load-dependent, impacted area around the truck, and (ii) the travel speed of the vehicle. Moreover, the proposed problem incorporates the effect of the scheduling of the loading operations performed at the depot into the routing problem. The proposed problem is modeled by a bi-objective vehicle routing and scheduling problem, which apart from determining delivery routes, deals simultaneously with the scheduling of the loading operations at the depot. To address the bi-objective routing and scheduling problem, we have developed an NSGA-II algorithm, known as a non-dominated sorting genetic algorithm, with various novel features. The results of the performed experiments indicate that the proposed risk measure substantially reduces the duration that the population stays under the risk of a HazMat shipment.",
author = "Eleni Karouti and Androutsopoulos, {Konstantinos N.} and Zografos, {Konstantinos G.}",
year = "2025",
month = apr,
day = "15",
doi = "10.1080/01605682.2025.2489130",
language = "English",
journal = "Journal of the Operational Research Society",
issn = "0160-5682",
publisher = "Taylor and Francis Ltd.",

}

RIS

TY - JOUR

T1 - A load and time-dependent hazardous materials distribution problem in urban areas

AU - Karouti, Eleni

AU - Androutsopoulos, Konstantinos N.

AU - Zografos, Konstantinos G.

PY - 2025/4/15

Y1 - 2025/4/15

N2 - The objective of this paper is to model and solve the hazardous materials distribution problem in which a set of orders is serviced by a heterogeneous fleet of tank trucks. The objective of the problem is to determine the delivery routes of the trucks so that all the orders are serviced at the minimum traversed distance and transportation risk. A new transportation risk measure is proposed, which takes into account: (i) the population exposed within a load-dependent, impacted area around the truck, and (ii) the travel speed of the vehicle. Moreover, the proposed problem incorporates the effect of the scheduling of the loading operations performed at the depot into the routing problem. The proposed problem is modeled by a bi-objective vehicle routing and scheduling problem, which apart from determining delivery routes, deals simultaneously with the scheduling of the loading operations at the depot. To address the bi-objective routing and scheduling problem, we have developed an NSGA-II algorithm, known as a non-dominated sorting genetic algorithm, with various novel features. The results of the performed experiments indicate that the proposed risk measure substantially reduces the duration that the population stays under the risk of a HazMat shipment.

AB - The objective of this paper is to model and solve the hazardous materials distribution problem in which a set of orders is serviced by a heterogeneous fleet of tank trucks. The objective of the problem is to determine the delivery routes of the trucks so that all the orders are serviced at the minimum traversed distance and transportation risk. A new transportation risk measure is proposed, which takes into account: (i) the population exposed within a load-dependent, impacted area around the truck, and (ii) the travel speed of the vehicle. Moreover, the proposed problem incorporates the effect of the scheduling of the loading operations performed at the depot into the routing problem. The proposed problem is modeled by a bi-objective vehicle routing and scheduling problem, which apart from determining delivery routes, deals simultaneously with the scheduling of the loading operations at the depot. To address the bi-objective routing and scheduling problem, we have developed an NSGA-II algorithm, known as a non-dominated sorting genetic algorithm, with various novel features. The results of the performed experiments indicate that the proposed risk measure substantially reduces the duration that the population stays under the risk of a HazMat shipment.

U2 - 10.1080/01605682.2025.2489130

DO - 10.1080/01605682.2025.2489130

M3 - Journal article

JO - Journal of the Operational Research Society

JF - Journal of the Operational Research Society

SN - 0160-5682

ER -