A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply

Wang, Xin; Jiang, Ruiwei; Qi, Mingyao

doi:10.1016/j.omega.2023.102872

Cited by 27 publications

(9 citation statements)

References 52 publications

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“…Wang et al. [48] incorporate equity through a constraint that limits the difference between the maximum and minimum fill rate (the ratio of the total number of scheduled vaccinations to the population at each demand area). Their two-stage robust optimization model considers supply uncertainty and aims to maximize social and economic benefits.…”

Section: Literature Reviewmentioning

confidence: 99%

Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints

Orgut¹,

Freeman²,

Lewis

et al. 2023

Omega

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Section: Literature Reviewmentioning

confidence: 99%

Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints

Orgut¹,

Freeman²,

Lewis

et al. 2023

Omega

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“…Moreover, the proposed BACAP model in this paper is a MIP model that involves a large number of binary variables, as there are many approaches to solving robust programming model and chance-constraint programming models. For example, Wang Xin et al provide two tailored column-and-constraint generation algorithms to solve the robust model [54]. Seyyed et al apply the interactive fuzzy programming approach to solve the multi-objective model [55].…”

Section: Basic Ideamentioning

confidence: 99%

“…Constraint (53) defines the relationship between the variables π i,p,t , δ i,p , and w i,t . Constraint (54) represents the constraint on the number of QCs, ensuring that the total number of used QCs does not exceed the available number of QCs at the port. Constraint (55) ensures that the QC profile selected by a vessel should meet its own container volume requirements.…”

Section: Pricing Sub-problemmentioning

confidence: 99%

Distributionally Robust Programming of Berth-Allocation-with-Crane-Allocation Problem with Uncertain Quay-Crane-Handling Efficiency

Tang,

Liu,

et al. 2023

Sustainability

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In order to promote the efficient and intelligent construction of container ports, we focus on the optimization of berth-and-quay-crane (QC) allocation in tidal terminal operations. This paper investigates the quay-crane-profile-(QC-profile)-based assignment problem, and considers the uncertainty in QC profiles regarding QC efficiency for the first time. A mixed-integer programming (MIP) model is established for a discrete berth allocation with a crane-assignment problem (BACAP), considering the tide time window. We aim to minimize the total time loss caused by anchorage and the delay of vessels. Leveraging the theory of uncertainty optimization, the proposed deterministic model is extended into a stochastic programming (SP) model and a distributionally robust optimization (DRO) model, via the consideration of the random QC efficiency. To solve the proposed models, a column generation (CG) algorithm is employed, utilizing the mathematical method and subproblem-solving approach. The numerical experiments with different instances demonstrate that the DRO model yields a smaller variation in the objective function values, and the effectiveness of the CG method. The experimental results verify the robustness of the constructed models, and the efficiency of the proposed algorithm.

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“…Based on the results of the Fortune Business Insight Study, the unmanned aircraft market has been significantly increased and a Compound Annual Growth Rate of about 43% is expected, while the market size value is growing from USD 13.48 billion in 2022 to USD 232.8 billion by 2029 [3]. The application of drones includes a wide range of services, such as pandemic vaccine distribution [4], as well as local and global supply chain distribution [5]. The application of drones focuses on both single unmanned vehicles and cloud-based supply chain solutions, where not only individual drones, but also drone clusters can be taken into consideration as potential supply solutions [6].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency of AGV-Drone Joint In-Plant Supply of Production Lines

Bányai

2023

Energies

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Energy efficiency plays an increasingly important role not only in supply chains, but also in in-plant supply systems. Manufacturing companies are increasingly using energy-efficient material handling equipment to solve their in-plant material handling tasks. A new example of this effort is the use of drones for in-plant transportation of small components. Within the frame of this article, a new AGV-drone joint in-plant supply model is described. The joint service of AGV-based milkrun trolleys and drones makes it possible to optimize the in-plant supply in production lines. This article discusses the mathematical description of AGV-drone joint in-plant supply solutions. The numerical analysis of the different AGV-drone joint in-plant supply solutions shows that this new approach can lead to an energy consumption reduction of about 30%, which also has a significant impact on GHG emission.

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A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply

Cited by 27 publications

References 52 publications

Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints

Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints

Distributionally Robust Programming of Berth-Allocation-with-Crane-Allocation Problem with Uncertain Quay-Crane-Handling Efficiency

Energy Efficiency of AGV-Drone Joint In-Plant Supply of Production Lines

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