A derivative-free approach for a simulation-based optimization problem in healthcare
Stefano Lucidi (lucidi@dis.uniroma1.it),
Massimo Maurici (maurici@med.uniroma2.it),
Luca Paulon (luca.paulon@gmail.com),
Francesco Rinaldi (rinaldi@math.unipd.it) and
Massimo Roma (roma@dis.uniroma1.it)
Additional contact information
Stefano Lucidi: Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"
Massimo Maurici: Dipartimento di Biomedicina e Prevenzione Laboratorio di Simulazione e Ottimizzazione dei servizi del SSN Universita' di Roma "Tor Vergata"
Luca Paulon: Dipartimento di Biomedicina e Prevenzione Laboratorio di Simulazione e Ottimizzazione dei servizi del SSN Universita' di Roma "Tor Vergata"
Francesco Rinaldi: Dipartimento di Matematica, Universita' di Padova
Massimo Roma: Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"
No 2014-15, DIAG Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"
Abstract:
In this work a simulation-based optimization model is considered in the framework of the management of hospital services. Given specific parameters which describe the hospital setting, the simulation model aims at reproducing the hospital processes and evaluating their efficiency. The use of a simulation-based optimization approach is necessary since the model can not be expressed as closed–form function. In order to obtain the optimal setting, we combine a derivative-free optimization method with a discrete event simulation model. The resulting framework has been tested on a real healthcare problem. More specifically, we study how to optimize the performance of an obstetric ward of a big Italian hospital, from both an economical and clinical point of view, taking into account some relevant constraints. The resulting optimization problem is a Mixed Integer Nonlinear Programming problem due to the presence of some variables constrained to be integer.
Keywords: Healthcare problems; Simulation-based optimization; Derivative-free methods (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-cmp, nep-ger and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.dis.uniroma1.it/~bibdis/RePEc/aeg/report/2014-15.pdf First version, 2014 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aeg:report:2014-15
Access Statistics for this paper
More papers in DIAG Technical Reports from Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza" Contact information at EDIRC.
Bibliographic data for series maintained by Antonietta Angelica Zucconi (antonietta.zucconi@uniroma1.it this e-mail address is bad, please contact repec@repec.org).