A multi-stage stochastic programming approach for blood supply chain planning

•Proposing a bi-objective mixed-integer model for blood supply chain planning.•Developing a multi-stage stochastic programming approach with combined scenario tree.•Proposing a novel hybrid multi-objective self-adaptive differential evolution algorithm.•Providing a real case study and useful manager...

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Veröffentlicht in:	Computers & industrial engineering Jg. 122; S. 1 - 14
Hauptverfasser:	Zahiri, B., Torabi, S. Ali, Mohammadi, M., Aghabegloo, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2018 Elsevier
Schlagworte:	Blood supply chain planning Computer Science Mathematics Meta-heuristic algorithms Multi-stage stochastic programming Operations Research Optimization and Control Vehicle routing problem Multi-stage stochastic programming Blood supply chain planning Meta-heuristic algorithms Vehicle routing problem
ISSN:	0360-8352, 1879-0550
Online-Zugang:	Volltext
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