We consider the Biomedical Samples Laboratories Network Problem, fundamental in modern healthcare systems, and propose a cardinality-constrained robust model for decision making under demand uncertainty. Robust solutions evaluation through real-life scenariosshows better feasibility performances than those of its deterministic counterpart. Solution cost increase is limited and affordable.
(2018). A cardinality-constrained robust approach for the biomedical samples laboratories network problem . Retrieved from http://hdl.handle.net/10446/201214
A cardinality-constrained robust approach for the biomedical samples laboratories network problem
Lanzarone, Ettore
2018-01-01
Abstract
We consider the Biomedical Samples Laboratories Network Problem, fundamental in modern healthcare systems, and propose a cardinality-constrained robust model for decision making under demand uncertainty. Robust solutions evaluation through real-life scenariosshows better feasibility performances than those of its deterministic counterpart. Solution cost increase is limited and affordable.File allegato/i alla scheda:
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