A Multistage Stochastic Optimization Model for Resilient Pharmaceutical Supply Chain in COVID-19 Pandemic Based on Patient Group Priority-Reference-Cited by-同舟云学术

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A Multistage Stochastic Optimization Model for Resilient Pharmaceutical Supply Chain in COVID-19 Pandemic Based on Patient Group Priority

Published:2024-05-03 Issue: Volume: Page:
ISSN:
Container-title:2024 Systems and Information Engineering Design Symposium (SIEDS)
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Author:

Mahdavimanshadi Mahdi¹,Anaraki Matin Ghasempour²,Mowlai Mohammadreza¹,Ahmadirad Zahra³

Affiliation:

1. University of Arizona,Department of Systems and Industrial Engineering,Tucson,AZ,USA

2. Southern Methodist University,Department of Operations Research & Engineering Management,Dallas,TX,USA

3. University of Missouri-Kansas City,Finance Department,Kansas City,MO,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10534629/10534631/10534683.pdf?arnumber=10534683

Reference23 articles.

1. An integrated sustainable medical supply chain network during COVID-19

2. A fuzzy quantitative model for assessing the performance of pharmaceutical supply chain under uncertainty

3. Designing an integrated pharmaceutical relief chain network under demand uncertainty

4. A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics

5. Designing a new sustainable Test Kit supply chain network utilizing Internet of Things

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