Optimization for vaccination demand allocation and distribution routes in pandemics based on a hierarchy decision model

Guo, Haixiang; Gao, Lijuan; Shi, Yong; Wu, Yang; Wang, Lei; Zhang, Wenkai

doi:10.1016/j.cie.2023.109568

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…To validate the effectiveness of the presented HGA, we compare it with four optimization algorithms: improved genetic algorithm (IGA; Cao, 2021), GA, improved ant colony algorithm (IACA; Guo et al, 2023), and simulated annealing (SA). Each algorithm is run independently 20 times on the same test case.…”

Section: Experimental Comparison Resultsmentioning

confidence: 99%

“…They addressed the distribution challenges in major cities by combining machine learning and optimization algorithms, offering scheduling guidance for similar issues (Chen et al, 2022; Zheng et al, 2023). A hierarchical decision mixed-integer linear program was proposed by Guo et al (2023), who gave a case study of COVID-19 vaccine administration to demonstrate improved efficiency in vaccine administration and distribution, along with a reduction in overall costs. Inspired by the production and distribution challenges in a traditional Chinese medicine company, Qiu et al (2023) proposed a mixed integer linear programming model that considers hybrid flow shop production and multi-trip, multi-vehicle distribution.…”

Section: Introductionmentioning

confidence: 99%

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Model and algorithm for pharmaceutical distribution routing problem considering customer priority and carbon emissions

Li,

Peng,

Deng

et al. 2024

DCE

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Pharmaceutical distribution routing problem is a key problem for pharmaceutical enterprises, since efficient schedules can enhance resource utilization and reduce operating costs. Meanwhile, it is a complicated combinatorial optimization problem. Existing research mainly focused on delivery route lengths or distribution costs minimization, while seldom considered customer priority and carbon emissions simultaneously. However, considering the customer priority and carbon emissions simultaneously will not only help to enhance customer satisfaction, but also help to reduce the carbon emissions. In this article, we consider the customer priority and carbon emission minimization simultaneously in the pharmaceutical distribution routing problem, the corresponding problem is named pharmaceutical distribution routing problem considering customer priority and carbon emissions. A corresponding mathematical model is formulated, the objectives of which are minimizing fixed cost, refrigeration cost, fuel consumption cost, carbon emission cost, and penalty cost for violating time windows. Moreover, a hybrid genetic algorithm (HGA) is proposed to solve the problem. The framework of the proposed HGA is genetic algorithm (GA), where an effective local search based on variable neighborhood search (VNS) is specially designed and incorporated to improve the intensification abilities. In the proposed HGA, crossover with adaptive probability and mutation with adaptive probability are utilized to enhance the algorithm performance. Finally, the proposed HGA is compared with four optimization algorithms, and experimental results have demonstrated the effectiveness of the HGA.

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Section: Experimental Comparison Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model and algorithm for pharmaceutical distribution routing problem considering customer priority and carbon emissions

Li,

Peng,

Deng

et al. 2024

DCE

View full text Add to dashboard Cite

show abstract

“…Guo et al [145] address efficient vaccination management challenges during pandemics by introducing a two-level decision framework, tackling vaccination station operations and vaccine delivery logistics. Key aspects include station operation decisions, resident allocation, staffing levels, and optimizing refrigerated vaccine transport routes.…”

Section: Discussionmentioning

confidence: 99%

Vehicle Routing Optimization for Humanitarian Supply Chain: A Systematic Review of Approaches and Solutions

Maroof,

Khalid,

Mahmood

et al. 2023

IEEE Access

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Corona pandemic has revealed that the uncertainty associated with disaster management has rippling effects, resulting in severe human suffering across the globe. The severity and complexity of the relief operations increase the authority's response time. The Humanitarian Supply Chain (HSC) can be helpful and is one of the critical branches of Operations Research. This paper presents a systematic literature review using PRISMA in the Vehicle Routing Problem (VRP) for HSC papers published in SCOPUS and Web of Science databases during the last two decades. It aims to classify and review the literature on VRP models in HSC using fifteen (15) different categorizations. This paper extensively describes objective functions and solution methodologies, including heuristics, commercial and exact solvers, uncertainties, resource types, and vehicle types. Several research questions are framed using the PICOS (Population, Intervention, Comparison, Outcomes, and Study) tool. Future research directions are accordingly proposed based on objective functions, uncertain approaches, heuristic approaches, vehicle types, resource types, model dimensions, sustainability, and scheduling. The results of this study show that there is still plenty of room for research and development in VRP for HSC.INDEX TERMS Disaster Management, Humanitarian logistics, HSC, Relief operations, VRP.

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Optimal multimodal multi-echelon vaccine distribution network design for low and medium-income countries with manufacturing infrastructure during healthcare emergencies

Kar,

Jenamani

2024

International Journal of Production Economics

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Optimization for vaccination demand allocation and distribution routes in pandemics based on a hierarchy decision model

Cited by 3 publications

References 28 publications

Model and algorithm for pharmaceutical distribution routing problem considering customer priority and carbon emissions

Model and algorithm for pharmaceutical distribution routing problem considering customer priority and carbon emissions

Vehicle Routing Optimization for Humanitarian Supply Chain: A Systematic Review of Approaches and Solutions

Optimal multimodal multi-echelon vaccine distribution network design for low and medium-income countries with manufacturing infrastructure during healthcare emergencies

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