Academic Journal

Multi-objective two-stage emergent blood transshipment-allocation in COVID-19 epidemic

Bibliographic Details
Title:	Multi-objective two-stage emergent blood transshipment-allocation in COVID-19 epidemic
Authors:	Yufeng Zhou, Jiahao Cheng, Changzhi Wu, Kok Lay Teo
Source:	Complex & Intelligent Systems, Vol 9, Iss 5, Pp 4939-4957 (2023)
Publisher Information:	Springer, 2023.
Publication Year:	2023
Collection:	LCC:Electronic computers. Computer science LCC:Information technology
Subject Terms:	Blood transshipment, COVID-19, Blood shortage, Blood supply chain, MOWOA, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64
More Details:	Abstract The problem of blood transshipment and allocation in the context of the COVID-19 epidemic has many new characteristics, such as two-stage, trans-regional, and multi-modal transportation. Considering these new characteristics, we propose a novel multi-objective optimization model for the two-stage emergent blood transshipment-allocation. The objectives considered are to optimize the quality of transshipped blood, the satisfaction of blood demand, and the overall cost including shortage penalty. An improved integer encoded hybrid multi-objective whale optimization algorithm (MOWOA) with greedy rules is then designed to solve the model. Numerical experiments demonstrate that our two-stage model is superior to one-stage optimization methods on all objectives. The degree of improvement ranges from 0.69 to 66.26%.
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	2199-4536 2198-6053
Relation:	https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053
DOI:	10.1007/s40747-023-00976-x
Access URL:	https://doaj.org/article/c88b995507454d4b921a0ecccbd09372
Accession Number:	edsdoj.88b995507454d4b921a0ecccbd09372
Database:	Directory of Open Access Journals

More Details
ISSN:	21994536 21986053
DOI:	10.1007/s40747-023-00976-x
Published in:	Complex & Intelligent Systems
Language:	English