Improved system design of an emergency department through simulation-based multiobjective-optimization

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Goienetxea Uriarte, AinhoaHögskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Produktion och automatiseringsteknik, Production and Automation Engineering (author)

Improved system design of an emergency department through simulation-based multiobjective-optimization

Article/chapterEnglish2014

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2014
electronicrdacarrier

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LIBRIS-ID:oai:DiVA.org:his-14203
https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-14203URI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:ref swepub-contenttype
Subject category:kon swepub-publicationtype

Notes

Healthcare facilities, and especially emergency departments (ED), are usually characterized by its complexity due to the variability and stochastic nature of the processes involved in the system. The combination of different flows of patients, staff and resources also increments the complexity of this kind of facilities. In order to increase its efficiency, many researchers have proposed discrete-event simulation (DES) as a powerful improvement tool. However, DES can be a limited approach in the case a simulation model has too many combinations of input parameters, complex correlations between the input and output parameters and different objective functions. Hence, to find the best configuration of a complex system, an approach combining DES and meta-heuristic optimization becomes an even more powerful improvement technique. Simulation-based multiobjective-optimization (SMO) is a promising approach to generate multiple trade-off solutions particularly when multiple conflicting objectives exist within a complex system. The generated solutions provide decision makers with feasible and optimal alternatives to improve, modify or design healthcare systems. The aim of this paper is to present the work done at the ED of the regional Hospital of Skövde in Sweden, where SMO implemented in modeFromtier has been successfully applied. The result and methodology present a successful approach for decision makers in healthcare systems to reduce the waiting time of patients saving considerable time, money and resources.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Annan elektroteknik och elektronik hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
TEKNIK OCH TEKNOLOGIER Medicinteknik Annan medicinteknik hsv//swe
ENGINEERING AND TECHNOLOGY Medical Engineering Other Medical Engineering hsv//eng
Simulation-based Optimization
Emergency Department
System Improvement
Production and Automation Engineering
Produktion och automatiseringsteknik

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Ruiz Zúñiga, Enrique,1986-Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Produktion och automatiseringsteknik, Production and Automation Engineering(Swepub:his)ruif (author)
Urenda Moris, MatíasHögskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Produktion och automatiseringsteknik, Production and Automation Engineering(Swepub:his)urem (author)
Ng, Amos H. C.Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Produktion och automatiseringsteknik, Production and Automation Engineering(Swepub:his)ngam (author)
Karlberg, CatarinaMonitoring and Analysis Area, Health Department of Västra Götaland, Skövde, Sweden (author)
Wallqvist, PierreMonitoring and Analysis Area, Health Department of Västra Götaland, Skövde, Sweden (author)
Högskolan i SkövdeInstitutionen för ingenjörsvetenskap (creator_code:org_t)

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