The EMS vehicle patient transportation problem during a demand surge

Majzoubi, Farshad; Bai, Lihui; Heragu, Sunderesh S.

doi:10.1007/s10898-020-00965-1

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…After transporting a patient with an infectious illness, a vehicle must be disinfected, which may be regarded as setup time for the subsequent transport assignment. To address real-time patient requests, Kergosien et al [88] created a modeling framework based on adaptive memory and a tabu search technique, while Majzoubi et al [51] devised a simulated annealing approach. Within five seconds, these two approaches can generate efficient solutions for large-size instances (between 132 and 200 demand nodes).…”

Section: Isolated and Quarantine Transportation Methodologymentioning

confidence: 99%

“…Response time was the factor used most often in the social dimension. The minimization of total time in the route was used in many articles [51,89,98,104,106,107]. In order to optimize the bottleneck route, Pacheco and Laguna [91] proposed an alternative objective function, aiming to minimize the longest route time and ignore all shorter routes.…”

Section: Social Dimensionmentioning

confidence: 99%

“…Therefore, efficient vehicle scheduling is crucial. When the demand for vehicles is high, Majzoubi et al [51] suggested allowing emergency medical service vehicles to serve up to two patients instead of one, while Kergosien et al [88] focused on scheduling vehicles based on the the urgency of demands. To prevent the spread of infectious disease, quarantine vehicles are needed to transfer the high-risk individuals [75,101].…”

Section: Isolated and Quarantine Vehicle Schedulingmentioning

confidence: 99%

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Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches

2022

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The global spread of the novel coronavirus (COVID-19) has accounted for many deaths. The effective containment of the current COVID-19 epidemic calls for a fast and sustainable delivery strategy to minimize the impact of this crisis. As such, this study aimed to conduct a comprehensive review of research on the vehicle routing problem (VRP) from a sustainable viewpoint during the pandemic and explore viable delivery solutions that may aid in the containment of the COVID-19 pandemic. Through a systematic review of the selected articles, four broad themes of pandemic containment measures from the delivery aspect were identified: efficient pharmaceutical delivery strategy, contactless distribution, sustainable waste transportation strategy, and isolated and quarantine vehicle scheduling. Following that, the methodology utilized to execute the containment measures were analyzed, research gaps were hightlighted, and possibilities for future studies were suggested. In summary, the goal of this research is to provide an overview of the literature on the application of VRPs in pandemic control and to assist academics and practitioners in learning more about the performance metrics, models, and solution techniques utilized in pandemic control delivery operations.

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Section: Isolated and Quarantine Transportation Methodologymentioning

confidence: 99%

Section: Social Dimensionmentioning

confidence: 99%

Section: Isolated and Quarantine Vehicle Schedulingmentioning

confidence: 99%

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Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches

2022

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“…For example, isolation of the driver and quarantine of the vehicle can be in high demand in such situations because they can help reduce the infection risk. Therefore, to meet the high demand for isolation and quarantine, Majzoubi et al [41] proposed a VRP model where each vehicle can serve up to two patients. Furthermore, Zhang et al [42] studied the efficient high-risk individual transfer with a limited number of quarantine vehicles.…”

Section: Related Workmentioning

confidence: 99%

A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics

Deng

Zhan

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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As transportation system plays a vastly important role in combatting newly-emerging and severe epidemics like the coronavirus disease 2019 (COVID-19), the vehicle routing problem (VRP) in epidemics has become an emerging topic that has attracted increasing attention worldwide. However, most existing VRP models are not suitable for epidemic situations, because they do not consider the prevention cost caused by issues such as viral tests and quarantine during the traveling. Therefore, this paper proposes a multi-objective VRP model for epidemic situations, named VRP4E, which considers not only the traditional travel cost but also the prevention cost of the VRP in epidemic situations. To efficiently solve the VRP4E, this paper further proposes a novel algorithm named multiobjective ant colony system algorithm for epidemic situations, termed MOACS4E, together with three novel designs. First, by extending the efficient "multiple populations for multiple objectives" framework, the MOACS4E adopts two ant colonies to optimize the travel and prevention costs respectively, so as to improve the search efficiency. Second, a pheromone fusionbased solution generation method is proposed to fuse the pheromones from different colonies to increase solution diversity effectively. Third, a solution quality improvement method is further proposed to improve the solutions for the prevention cost objective. The effectiveness of the MOACS4E is verified in experiments on 25 generated benchmarks by comparison with six state-of-the-art and modern algorithms. Moreover, the VRP4E in different epidemic situations and a real-world case in Manuscript

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“…Demand surge refers to the unpredictable increase in the operating system where the demand caused by emergencies exceeds the upper limit of normal demand fluctuations [ 2 ]. At present, researches on demand surge mainly include natural disasters [ 25 ], public health events [ 16 ], and e-commerce promotional shopping [ 14 ]. In terms of e-commerce promotion, the concentrated shopping behavior of customers will trigger a demand surge.…”

Section: Introductionmentioning

confidence: 99%

An integrated distribution scheduling and route planning of food cold chain with demand surge

Chen

Lan

Wang

et al. 2022

Complex Intell. Syst.

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With the rapid development of e-commerce, customers could order online to ensure timeliness. Therefore, e-commerce enterprises need to pick and distribute customers’ orders. These two operations are interdependent. Order picking needs to consider the vehicle route planning. At the same time, the vehicle route planning is also based on the batching of orders. Considering the demand surge scenario of food cold chain, with the shortest time and lowest cost to complete all distribution tasks as the objective, this paper aims at the integrated optimization of distribution scheduling and route planning, and establishes a mixed integer programming mathematical model. Finally, we design a three-stage heuristic algorithm to solve this problem, and use the actual data to carry out numerical experiments to verify the reliability and effectiveness of the mathematical model and heuristic algorithm.

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The EMS vehicle patient transportation problem during a demand surge

Cited by 8 publications

References 25 publications

Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches

Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches

A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics

An integrated distribution scheduling and route planning of food cold chain with demand surge

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