Half Open Multi-Depot Heterogeneous Vehicle Routing Problem for Hazardous Materials Transportation

Zhou, Zijun; Ha, Ming-Hu; Hu, Hao; Ma, Hongguang

doi:10.3390/su13031262

Cited by 17 publications

(13 citation statements)

References 34 publications

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“…Typically, MDVRP models represent realistic cases, and heuristic algorithms are thus proposed to solve the large-scale MDVRPs. Zhou et al [12] focus on the half open MDVRP with heterogeneous vehicles for hazardous materials transportation. Compared to the single-depot VRP, MDVRPs are more complicated for exact algorithms to solve; however, there are some exact algorithms for MDVRPs.…”

Section: Literature Reviewmentioning

confidence: 99%

Reducing Carbon Emissions for the Vehicle Routing Problem by Utilizing Multiple Depots

Wang

Chen

et al. 2022

Sustainability

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Emission reductions could be achieved by replacing the single-depot mode with a multi-depot mode of vehicle routing. In our study, we identified situations under which multiple depots could be used to effectively reduce carbon emissions. We proposed a branch-and-price (BAP) algorithm to obtain an optimal solution for the multi-depot green vehicle routing problem. Based on the BAP algorithm, we accurately quantified the carbon emission reduction potential of the multi-depot mode over the single-depot mode. Factors such as the number of depots, vehicle speed, customer demand, and service time were considered and analyzed. Computational tests were conducted, and the results showed that using multiple depots in a vehicle routing problem can reduce carbon emissions by at most 37.6%. In sensitivity analyses, we show relationships between these factors, and several managerial insights that can be used to successfully reduce carbon emissions were summarized.

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Section: Literature Reviewmentioning

confidence: 99%

Reducing Carbon Emissions for the Vehicle Routing Problem by Utilizing Multiple Depots

Wang

Chen

et al. 2022

Sustainability

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“…There are some constraints regarding the load of the fleets. Constraints (10) ensure that a load of a vehicle in the node 𝑗 depends on the initial load when visiting the previous node 𝑖 plus the demand of node 𝑖. Constraints (11) enforce that a vehicle's load never exceeds the maximum capacity.…”

Section: Problem Description and Formulationmentioning

confidence: 99%

“…It was shown that those solutions that involve more electric fleet than combustion fleet, lead to higher total costs and smaller emissions and vice versa. doi: 10 To calculate different quantities in GVRP (including but not limited to fuel consumption, emission, and battery energy consumption), different mathematical formulas have been utilized in the literature. Most of the works assumed that the energy consumption (i.e., fuel consumption of combustion fleet, and electrical energy of electric fleet) is a function of traveled distance [4,5].…”

mentioning

confidence: 99%

Multi-Objective Vehicle Routing Problem for a Mixed Fleet of Electric and Conventional Vehicles with Time Windows and Recharging Stations

Torabi

Mohammadbagher

2022

IJE

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“…The risk caused by an accident during hazmat transportation makes the transportation problem of hazmat much more complicated than when other materials are moved. How to measure the transportation risk of hazmat is one of the important issues in the field of hazmat transportation, because how to reduce the accidents of hazardous materials has become an important and urgent research topic in the safety management of hazardous materials [10].…”

Section: Risk Assessmentmentioning

confidence: 99%

Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity

Liu

Zhou

et al. 2021

Sustainability

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The consequences of a hazmat accident can be catastrophic due to the characteristics of hazardous materials. Different from the models, which are constructed from the perspective of “government-carrier”, this paper considers the three objectives of the risk, the cost, and the compensation cost from the “government-carrier-public” perspective, so as to construct a route optimization model of hazmat transportation considering risk equity. Moreover, considering that the difference in regional emergency response time will significantly affect the risk, this research incorporates the emergency response time into the transportation risk assessment function, and realizes risk equity by minimizing the total compensation cost based on the difference in regional emergency response time. To solve the proposed model, a multi-objective genetic algorithm based on linear weighting is designed. The results obtained from the case study verify the necessity of considering the risk equity in the route optimization model of hazardous materials transportation and prove that the established model and algorithm can find an optimal route that meets the expectations of the government, the carrier, and the public.

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Half Open Multi-Depot Heterogeneous Vehicle Routing Problem for Hazardous Materials Transportation

Cited by 17 publications

References 34 publications

Reducing Carbon Emissions for the Vehicle Routing Problem by Utilizing Multiple Depots

Reducing Carbon Emissions for the Vehicle Routing Problem by Utilizing Multiple Depots

Multi-Objective Vehicle Routing Problem for a Mixed Fleet of Electric and Conventional Vehicles with Time Windows and Recharging Stations

Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity

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