An optimization framework for COVID-19 vaccine allocation and inventory management: A case study

Kohneh, Jamal Nahofti; Amirdadi, Masoud; Teimoury, Ebrahim

doi:10.1016/j.asoc.2022.109801

Cited by 11 publications

(3 citation statements)

References 59 publications

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“…While several studies on COVID-19 vaccine supply chain [56][57] [58] and vaccine allocation and distribution [59][36] [60] have considered multiple vaccine brands, dosing intervals, and/or multiple doses in their model, this is not as common for studies on COVID-19 vaccination facility location alone. Most of the early studies only considered multiple doses and they only dealt with optimising the scheduling of the vaccination campaign.…”

Section: Multiple Vaccinesmentioning

confidence: 99%

Multiperiod vaccination facility planning

Tacadao,

Simonis,

Quesada

et al. 2024

Preprint

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We propose a decision support tool, based on Mixed Integer Programming, to help with the planning of national vaccination campaigns, and test it on data and scenarios obtained from the publicly available information about the Irish COVID-19 vaccination program. We show that a large variety of constraints can be included in the tool, as well as combinations of different objective functions for the different stakeholders. The tests show that the multi-period/multi-vaccine problem can be effectively solved by the given model, while allowing to consider the impact of potential changes in the input data. We also present a number of specific visualizations that help the user understand the plan created by the application.

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Section: Multiple Vaccinesmentioning

confidence: 99%

Multiperiod vaccination facility planning

Tacadao,

Simonis,

Quesada

et al. 2024

Preprint

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“…Research by [15] discusses perishable products where demand is stochastic with decision variables for optimal order quantity (Q) and reorder point (R), with the aim of increasing profits. Research by [16] discusses perishable products with uncertain demand, with a periodic review policy (R, S) to reduce inventory costs.…”

Section: Figure 2 -Presentation Of Medicine Expired Year 2022mentioning

confidence: 99%

“…Presentase Obat Kadaluarsa Presentase Toleransi Obat Kadaluarsa 2 is a research position where several variables used in this study are determining the optimal order quantity and reorder point, the objective function is to reduce the total cost of inventory costs, the cost components used are order cost, shortage cost, purchasing cost, outdate cost, inspection cost, this component is a combination of research [21], [16], [9], the contribution in this study is the inspection cost variable where in the case of Consumable Medical Materials expired products must be burned by high temperature incineration.…”

Section: P R E S E N T a T I O N O F M E D I C I N E E X P I R E D Y ...mentioning

confidence: 99%

Development of Inventory Model to Reduce Total Inventory Costs at RSUD Mentawai

Izzati,

Damayanti

2023

IJIES

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The inventory policy problem is a problem in the inventory system related to how to ensure that each usage demand can be met at minimal cost. In the healthcare industry, it is imperative that the procurement and use of stock is not only cost-effective, but also that the required stock is always available. Discrepancies between total inventory and usage can lead to damage to BMHP inventory as the items have expiry dates, as well as excess total inventory costs. The problem of total inventory costs exceeding the budget occurs because overstock is 83% of the total need, overstock is caused by an excessive number of drug orders purchased. The purpose of this study is to reduce the total cost of inventory by considering expiry costs, inspection cost, shortage cost, order cost, holding cost using the EOQ method. The first stage in this study is to calculate the optimal order quantity value, then find the expected number of drug expirations. These results will be used to calculate the total inventory cost of five types of medical materials. for the inspection cost value, if the number of expired medical materials is above 20, the inspection cost value is not equal to zero. The calculation results found that the total inventory cost was Rp. 162,904,965, this cost is less than the actual cost of Rp. 185,843,346.00 with a difference of 12%.

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Optimization modeling for pandemic vaccine supply chain management: A review and future research opportunities

Dey,

Kurbanzade,

Gel

et al. 2024

Naval Research Logistics

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During various stages of the COVID‐19 pandemic, countries implemented diverse vaccine management approaches, influenced by variations in infrastructure and socio‐economic conditions. This article provides a comprehensive overview of optimization models developed by the research community throughout the COVID‐19 era, aimed at enhancing vaccine distribution and establishing a standardized framework for future pandemic preparedness. These models address critical issues such as site selection, inventory management, allocation strategies, distribution logistics, and route optimization encountered during the COVID‐19 crisis. A unified framework is employed to describe the models, emphasizing their integration with epidemiological models to facilitate a holistic understanding. This article also summarizes evolving nature of literature, relevant research gaps, and authors' perspectives for model selection. Finally, future research scopes are detailed both in the context of modeling and solutions approaches.

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An optimization framework for COVID-19 vaccine allocation and inventory management: A case study

Cited by 11 publications

References 59 publications

Multiperiod vaccination facility planning

Multiperiod vaccination facility planning

Development of Inventory Model to Reduce Total Inventory Costs at RSUD Mentawai

Optimization modeling for pandemic vaccine supply chain management: A review and future research opportunities

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