Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply

Reconfiguring the structure of the supply chain network is one of the most strategic and vital decisions in designing a supply chain network. In this study, a Closed-Loop Blood Supply Chain Network (CLBSCN) considering blood group compatibility, ABO-Rh(D), and blood product shelf life has been studi...

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Vydáno v:	Annals of operations research Ročník 328; číslo 1; s. 859 - 901
Hlavní autoři:	Momenitabar, Mohsen, Dehdari Ebrahimi, Zhila, Arani, Mohammad, Mattson, Jeremy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.09.2023 Springer Springer Nature B.V
Témata:	Blood groups Blood products Business and Management Case studies Closed loops Combinatorics Decision making Distribution Fuzzy algorithms Fuzzy logic Fuzzy systems Health care industry Hospitals Linear programming Logistics Mathematical models Maximization Methods Mixed integer Multiple objective analysis Nonlinear programming Operations research Operations Research/Decision Theory Optimization Original Research Parameter sensitivity Sensitivity analysis Shelf life Supply chains Tactics Theory of Computation United States Closed-loop blood supply chain network Service-level maximization Robust possibilistic programming approach Multi-objective mix-integer non-linear programming model Lateral resupply
ISSN:	0254-5330, 1572-9338
On-line přístup:	Získat plný text
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