Emergency logistics network optimization with time window assignment

Wang, Yong; Wang, Xiuwen; Fan, Jintai; Wang, Zheng; Zhang, Lu

doi:10.1016/j.eswa.2022.119145

Cited by 29 publications

(2 citation statements)

References 80 publications

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“…It adopts a comprehensive approach to disaster relief to minimize community devastation. As per the relevant literature [50][51][52], the analysis of emergency logistics facilities should focus on location factors. This paper considers factors such as population density, service area, transportation accessibility, spatial capacity, and economic costs for pre-locating emergency logistics facilities.…”

Section: Pre-locating Of Emergency Logistics Facilitiesmentioning

confidence: 99%

Emergency Logistics Facilities Location Dual-Objective Modeling in Uncertain Environments

Xu,

Ma,

Liu

et al. 2024

Sustainability

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The uncertainty of post-earthquake disaster situations can affect the efficiency of rescue site selection, material, and personnel dispatching, as well as the sustainability of related resources. It is crucial for decision-makers to make decisions to mitigate risks. This paper first presents a dual-objective model for locating emergency logistics facilities, taking into account location costs, human resource scheduling costs, transportation time, and uncertainties in demand and road conditions. Then, stochastic programming and robust optimization methods are utilized to cater to decision-makers with varying risk preferences. A risk-preference-based stochastic programming model is introduced to handle the potential risks of extreme disasters. Additionally, robust models are constructed for two uncertain environments. Finally, the study uses the Wenchuan earthquake as a case study for the pre-locating of emergency logistics facilities and innovatively compares the differences in the effects of models constructed using different uncertainty methods. Experimental results indicate that changes in weight coefficients and unit transportation costs significantly impact the objective function. This paper suggests that decision-makers should balance cost and rescue efficiency by choosing appropriate weight coefficients according to the rescue stage. It also shows that risk level and robust conservatism can significantly alter the objective function. While stochastic programming models offer economic advantages, robust optimization provides better robustness.

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Section: Pre-locating Of Emergency Logistics Facilitiesmentioning

confidence: 99%

Emergency Logistics Facilities Location Dual-Objective Modeling in Uncertain Environments

Xu,

Ma,

Liu

et al. 2024

Sustainability

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show abstract

“…Security checkpoints, on the other hand, are potential sources of The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/2042-6747.htm supplier delivery disruption risk as well as a source of congestion due to tightened security-checking processes and complex control procedures, which cause delays in the transportation of goods to their final destination, impeding trade and logistics activities (Haughton and Isotupa, 2013;Ilker Topcu et al, 2020). Furthermore, security checkpoint procedures have a significant impact on humanitarian logistics, as checkpoints are a major driver of relief aid access to its final destination (European Commission, 2022;Wang et al, 2023). Customs controls, authorities' lack of knowledge about required products and failure to prioritize transport containing critical humanitarian aid can pose a stumbling block to relief aid delivery (WHO, 2022).…”

Section: Introductionmentioning

confidence: 99%

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Rezeq,

Aouam,

Gailly

2024

JHLSCM

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Purpose Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates. Design/methodology/approach A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study. Findings The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used. Originality/value The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.

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Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency

Hsu,

Huang,

Pan

et al. 2024

Advanced Engineering Informatics

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Emergency logistics network optimization with time window assignment

Cited by 29 publications

References 80 publications

Emergency Logistics Facilities Location Dual-Objective Modeling in Uncertain Environments

Emergency Logistics Facilities Location Dual-Objective Modeling in Uncertain Environments

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency

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