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Designing a vaccine supply chain network considering environmental aspects

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F23%3APU150626" target="_blank" >RIV/00216305:26210/23:PU150626 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0959652623020930?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0959652623020930?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jclepro.2023.137935" target="_blank" >10.1016/j.jclepro.2023.137935</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Designing a vaccine supply chain network considering environmental aspects

  • Original language description

    In the fight against SARS-COV-2, the vaccine has become a ubiquitous preventive measure. Vaccination programs for COVID-19 are inadvertently creating large amounts of bio-medical and plastic waste, negatively impacting the environment. This perspective takes a critical stance regarding the waste generated by vaccines and the subsequent knock-on effects. Vaccine production and storage have contributed to global warming due to their environmental impacts. The vaccine supply chain (VSC), essential in global health due to its high relevance to humans, must be optimally designed and implemented to ensure high service levels at minimal cost and environmental concerns. This investigation aims to demonstrate a pattern of the green vaccine supply chain network (GVSCN) when the coronavirus was circulating. The presented model can illustrate a balance between environmental protection and economic growth during the epidemic. This model is sensitive to the economic and environmental impact structures. The cost includes the standard and hygiene costs. This study provides a multiobjective mixed-integer programming (MOMIP) problem. The multi-objective gray wolf optimizer (MOGWO) algorithm is utilized to address the developed model. The novelty and our contributions to the investigation on this topic are i) Suggesting a green vaccine supply chain network application model to demonstrate useful the trade-offs between two green supply chain aspects, ii) Designing the hygienic and safe network for the vaccine supply chain, iii) Developing economic indicators in the pandemic conditions, iv) Analyzing the impacts of vaccine supply chain activities on economy and environment. An actual case in Iran is also studied to probe the effectiveness of the proposed model.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10500 - Earth and related environmental sciences

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Cleaner Production

  • ISSN

    0959-6526

  • e-ISSN

    1879-1786

  • Volume of the periodical

    neuveden

  • Issue of the periodical within the volume

    417

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    22

  • Pages from-to

    „“-„“

  • UT code for WoS article

    001044414500001

  • EID of the result in the Scopus database

    2-s2.0-85165226314