Optimizing vaccine distribution networks in low and middle-income countries

Yang, Yuwen; Bidkhori, Hoda; Rajgopal, Jayant

doi:10.1016/j.omega.2020.102197

Cited by 66 publications

(53 citation statements)

References 27 publications

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“…Supply chains for vaccine distribution require unique features. For example, some vaccine distribution requires a cold or very cold supply chain (i.e., Gamchi et al, 2020 ; Lim et al, 2019 ; Yang et al, 2020 ). Other vaccine distributions may require waiting time considerations in the supply chain (i.e., Gamchi et al, 2020 ).…”

Section: Motivation and Contributionsmentioning

confidence: 99%

“…Some researchers, such as De Boeck et al (2019) and Corey et al (2020), have studied strategic and managerial approaches to vaccine distribution. Other researchers such as Gamchi et al (2020), Yang et al (2020), and Rastegar et al (2021) have proposed mathematical models for vaccine distribution and supply chain network optimization. Supply chains for vaccine distribution require unique features.…”

Section: Motivation and Contributionsmentioning

confidence: 99%

“…They validated their model using data from a cholera vaccine distribution chain. Yang et al ( 2020 ) developed a MIP model for vaccine distribution in low- and middle-income countries in line with the WHO Expanded Program on Immunization (EPI). Their model aims to minimize total costs with validation using data from a vaccine distribution chain in African countries.…”

Section: Introductionmentioning

confidence: 99%

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A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries

et al. 2021

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Developing countries scramble to contain and mitigate the spread of coronavirus disease 2019 (COVID-19), and world leaders demand equitable distribution of vaccines to trigger economic recovery. Although numerous strategies, including education, quarantine, and immunization, have been used to control COVID-19, the best method to curb this disease is vaccination. Due to the high demand for COVID 19 vaccine, developing countries must carefully identify and prioritize vulnerable populations and rationalize the vaccine allocation process. This study presents a mixed-integer linear programming model for equitable COVID-19 vaccine distribution in developing countries. Vaccines are grouped into cold, very cold, and ultra-cold categories where specific refrigeration is required for their storage and distribution. The possibility of storage for future periods, facing a shortage, budgetary considerations, manufacturer selection, order allocation, time-dependent capacities, and grouping of the heterogeneous population are among the practical assumptions in the proposed approach. Real-world data is used to demonstrate the efficiency and effectiveness of the mathematical programming approach proposed in this study.

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Section: Motivation and Contributionsmentioning

confidence: 99%

Section: Motivation and Contributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries

et al. 2021

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“…Similarly, in the case of blood supply chain management, poor operational planning leads to unwanted shortages of blood products, resulting in untreated patients and postponed surgeries (Piraban et al, 2019). In this regard, operational research methods have been found as one alternative approach to solve numerous healthcare logistics problems (Rais and Viana, 2011), such as deciding the location of healthcare facilities (Ahmadi-Javid et al, 2017), managing the logistics of blood products (Piraban et al, 2019), planning the material logistics system of the hospital (Volland et al, 2017), and optimizing the vaccine distribution system (Yang et al, 2020).…”

Section: Healthcare Logisticsmentioning

confidence: 99%

Location‐routing problem: a classification of recent research

Mara

Kuo

Asih

2021

Int Trans Operational Res

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The location-routing problem (LRP) and its variants have been studied extensively over the past few years. The number of articles has grown more than ever, since the last surveys. Therefore, this study aims to perform a review of recent LRP research from 222 academic literature published from 2014 to 2019. The analysis of publication intensity, problem characteristics, solution methods, and application areas was executed to draw the state-of-the-art of LRP research. As the main contributions to this study, a new taxonomy was proposed to capture some recently emerging issues in LRP and some suggestions for future research were listed and discussed.

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“…Due to the important role of vaccines in the prevention of infectious diseases spread, researchers have been interested in the vaccine supply chain from many perspectives. It has been proven that vaccination is the most effective method to stop the transmission of all kinds of infectious diseases [1]. For example, regular measles vaccination and supplementary immunization activities greatly reduce the incidence rate and mortality of measles worldwide.…”

Section: Introductionmentioning

confidence: 99%

Complexity Analysis and Control in Time-Delay Vaccine Supply Chain considering Cold Chain Transportation

Dao-ming

2020

Mathematical Problems in Engineering

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Due to the important role of the vaccines in the prevention of global epidemics, this paper focuses on a vaccine transportation supply chain composed of one distributor and one retailer. Based on the assumption that the decision-maker does not make a decision instantaneously, we present a decision-making time-delay model. Firstly, we captured some sufficient conditions of delay-induced bifurcation for the model by regarding different combinations of the decision delay periods as the bifurcation parameters and analyzed how the speed of decision-making adjustment of distributor or retailer affects the critical point of system stability. Secondly, we made a numerical simulation on the model by using a two-dimensional bifurcation diagram, largest Lyapunov exponent, and entropy and chaotic attractor, respectively. Finally, we used two coordination methods to control chaos and compared them. The results show that when the decision delay exceeds a certain threshold, the system will lose stability or go into chaos. The precipitous speed of decision variable adjustment of the distributor or retailer will increase the entropy of the system and lead the system into a chaotic state. When the vaccine supply chain is in chaos, the effect of external control on chaos is better than that of internal control on chaos.

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Optimizing vaccine distribution networks in low and middle-income countries

Cited by 66 publications

References 27 publications

A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries

A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries

Location‐routing problem: a classification of recent research

Complexity Analysis and Control in Time-Delay Vaccine Supply Chain considering Cold Chain Transportation

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