Two-stage approach for COVID-19 vaccine supply chain network under uncertainty using the machine learning algorithms: A case study-Reference-Cited by-同舟云学术

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Two-stage approach for COVID-19 vaccine supply chain network under uncertainty using the machine learning algorithms: A case study

Published:2024-09 Issue: Volume:135 Page:108837
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Shiri Mahdyeh,Fattahi Parviz^ORCID,Sogandi Fatemeh

Publisher

Elsevier BV

Reference103 articles.

1. A novel separate chance-constrained programming model to design a sustainable medical ventilator supply chain network during COVID-19 pandemic;Abad;J. Ind. Manag. Optim.,2023

2. Predicting solutions of large-scale optimization problems via machine learning: a case study in blood supply chain management;Abbasi;Comput. Oper. Res.,2020

3. Green closed-loop supply chain networks' response to various carbon policies during COVID-19;Abbasi;Sustainability,2023

4. Designing a tri-objective, sustainable, closed-loop, and multi-echelon supply chain during COVID-19 and lockdowns;Abbasi;Found. Comput. Decis. Sci.,2023

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