A distributionally robust chance-constrained model for humanitarian relief network design

Jiang, Zhenlong; Ji, Ran; Dong, Zhijie

doi:10.1007/s00291-023-00726-y

Cited by 6 publications

(2 citation statements)

References 49 publications

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“…The goals of both stages were used for decision making on transportation vehicles. Jiang [17] proposed a novel two-stage distributionally robust chance-constrained (DRCC) model to minimize the final total cost.…”

Section: Stochstic Programming Model To Emergency Facilities Pre-posi...mentioning

confidence: 99%

“…Constraints ( 14)-( 16) denote the consistency of the variables. Constraint (17) states that the third-stage transportation quantity of the material-receiving warehouse j must not exceed the sum of the received supplies. Constraint (18) states that the transportation quantity from material transfer warehouse n must not exceed the difference between the inventory level after accounting for storage depletion and the second-stage transportation quantity.…”

Section: The Three-stage Stochastic Programming Model With Transshipm...mentioning

confidence: 99%

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A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics

Wang,

Hao,

Yuan

et al. 2024

Systems

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Driven by the growing threat of natural disasters caused by climate change, there is an urgent need to strengthen the emergency rescue logistics network. However, insufficient research has been conducted on optimizing both pre-disaster preparation and post-disaster response, resulting in lower resilience and inefficiency of emergency logistics management. To this end, this study explores the optimization of emergency rescue resource allocation and transportation network design, considering the uncertainty and multi-period nature of natural disaster rescue. By employing a lateral transshipment strategy, a three-stage stochastic programming model is established, which aims to balance economic benefits with the need for devastations, thereby enhancing the resilience of the logistics network. Numerical experiments verify the effectiveness of the proposed model with different instances and the performance of the lateral transshipment strategy by comparing it with a two-stage stochastic programming model. Sensitivity analysis is performed on the costs of constructing a depot and the penalties for unmet needs. The analysis yielded valuable insights that can be used to enhance emergency rescue operations, supply chain network design, and logistics network design. The research outcome can benefit emergency responders and logistics professionals in optimizing their operations.

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Section: Stochstic Programming Model To Emergency Facilities Pre-posi...mentioning

confidence: 99%

Section: The Three-stage Stochastic Programming Model With Transshipm...mentioning

confidence: 99%

A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics

Wang,

Hao,

Yuan

et al. 2024

Systems

View full text Add to dashboard Cite

show abstract

Novel integer L-shaped method for parallel machine scheduling problem under uncertain sequence-dependent setups

Fan,

Ji,

Chang

et al. 2024

Computers & Industrial Engineering

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Designing a sustainable-resilient vaccine cold chain network in uncertain environments

Chen,

2025

Computers & Chemical Engineering

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A distributionally robust chance-constrained model for humanitarian relief network design

Cited by 6 publications

References 49 publications

A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics

A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics

Novel integer L-shaped method for parallel machine scheduling problem under uncertain sequence-dependent setups

Designing a sustainable-resilient vaccine cold chain network in uncertain environments

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