Hybrid simulation for modelling large systems: An example of integrated care model

Developing models for large systems is not a trivial task. Using only Discrete Event Simulation (DES) as a modelling technique may mean that the complexity of the underlying model will increase exponentially with the size of the model. An alternative to this is the use of System Dynamics (SD) for mo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Zulkepli, J., Eldabi, T., Mustafee, N.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 12
container_issue
container_start_page 1
container_title
container_volume
creator Zulkepli, J.
Eldabi, T.
Mustafee, N.
description Developing models for large systems is not a trivial task. Using only Discrete Event Simulation (DES) as a modelling technique may mean that the complexity of the underlying model will increase exponentially with the size of the model. An alternative to this is the use of System Dynamics (SD) for modeling large systems using the positive and negative feedback loops. However, for modelling a human-centric system like healthcare, DES is important as it provides individuality analysis; similarly, SD is important as it facilitates the whole systems approach. The combined application of OR/Simulation methods enable the symbiotic realization of the strengths of individual techniques, while reducing their limitations; in this paper it is suggested that a combined SD-DES approach (also referred to as hybrid technique) can be effectively used for modelling large systems. The example being used in this context is the modelling of an Integrated Care (IC) system in healthcare.
doi_str_mv 10.1109/WSC.2012.6465314
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6465314</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6465314</ieee_id><sourcerecordid>6465314</sourcerecordid><originalsourceid>FETCH-LOGICAL-i217t-99b397af7c7beb877cb1797b168be52d4179e435d4b62b20d266be7e8d7f15313</originalsourceid><addsrcrecordid>eNo9kFtLAzEUhOMNrLXvgi_5A1tzPxvfSqlWKAhe8LEkm7NLZC8lWcH-ewstPg3DMB_MEHLH2ZxzZh--3pdzwbiYG2W05OqM3HBlQCoohT4nE651WSjJ9MV_AFZfkgkrLS8ApLkms5y_GWMHnrEWJuRtvfcpBppj99O6MQ49rYdEuyFg28a-oa1LDdK8zyN2-ZEueoq_rtu1SIeaxn7EJrkRA61cwmPtllzVrs04O-mUfD6tPpbrYvP6_LJcbIooOIyFtV5acDVU4NGXAJXnYMFzU3rUIqiDQyV1UN4IL1gQxngELAPU_DBfTsn9kRsRcbtLsXNpvz19I_8Av39T1Q</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Hybrid simulation for modelling large systems: An example of integrated care model</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Zulkepli, J. ; Eldabi, T. ; Mustafee, N.</creator><creatorcontrib>Zulkepli, J. ; Eldabi, T. ; Mustafee, N.</creatorcontrib><description>Developing models for large systems is not a trivial task. Using only Discrete Event Simulation (DES) as a modelling technique may mean that the complexity of the underlying model will increase exponentially with the size of the model. An alternative to this is the use of System Dynamics (SD) for modeling large systems using the positive and negative feedback loops. However, for modelling a human-centric system like healthcare, DES is important as it provides individuality analysis; similarly, SD is important as it facilitates the whole systems approach. The combined application of OR/Simulation methods enable the symbiotic realization of the strengths of individual techniques, while reducing their limitations; in this paper it is suggested that a combined SD-DES approach (also referred to as hybrid technique) can be effectively used for modelling large systems. The example being used in this context is the modelling of an Integrated Care (IC) system in healthcare.</description><identifier>ISSN: 0891-7736</identifier><identifier>ISBN: 1467347795</identifier><identifier>ISBN: 9781467347792</identifier><identifier>EISSN: 1558-4305</identifier><identifier>EISBN: 1467347825</identifier><identifier>EISBN: 9781467347815</identifier><identifier>EISBN: 1467347817</identifier><identifier>EISBN: 1467347809</identifier><identifier>EISBN: 9781467347822</identifier><identifier>EISBN: 9781467347808</identifier><identifier>DOI: 10.1109/WSC.2012.6465314</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Biological system modeling ; Context ; Context modeling ; Integrated circuit modeling ; Medical services</subject><ispartof>Proceedings of the 2012 Winter Simulation Conference (WSC), 2012, p.1-12</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6465314$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6465314$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zulkepli, J.</creatorcontrib><creatorcontrib>Eldabi, T.</creatorcontrib><creatorcontrib>Mustafee, N.</creatorcontrib><title>Hybrid simulation for modelling large systems: An example of integrated care model</title><title>Proceedings of the 2012 Winter Simulation Conference (WSC)</title><addtitle>WSC</addtitle><description>Developing models for large systems is not a trivial task. Using only Discrete Event Simulation (DES) as a modelling technique may mean that the complexity of the underlying model will increase exponentially with the size of the model. An alternative to this is the use of System Dynamics (SD) for modeling large systems using the positive and negative feedback loops. However, for modelling a human-centric system like healthcare, DES is important as it provides individuality analysis; similarly, SD is important as it facilitates the whole systems approach. The combined application of OR/Simulation methods enable the symbiotic realization of the strengths of individual techniques, while reducing their limitations; in this paper it is suggested that a combined SD-DES approach (also referred to as hybrid technique) can be effectively used for modelling large systems. The example being used in this context is the modelling of an Integrated Care (IC) system in healthcare.</description><subject>Analytical models</subject><subject>Biological system modeling</subject><subject>Context</subject><subject>Context modeling</subject><subject>Integrated circuit modeling</subject><subject>Medical services</subject><issn>0891-7736</issn><issn>1558-4305</issn><isbn>1467347795</isbn><isbn>9781467347792</isbn><isbn>1467347825</isbn><isbn>9781467347815</isbn><isbn>1467347817</isbn><isbn>1467347809</isbn><isbn>9781467347822</isbn><isbn>9781467347808</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kFtLAzEUhOMNrLXvgi_5A1tzPxvfSqlWKAhe8LEkm7NLZC8lWcH-ewstPg3DMB_MEHLH2ZxzZh--3pdzwbiYG2W05OqM3HBlQCoohT4nE651WSjJ9MV_AFZfkgkrLS8ApLkms5y_GWMHnrEWJuRtvfcpBppj99O6MQ49rYdEuyFg28a-oa1LDdK8zyN2-ZEueoq_rtu1SIeaxn7EJrkRA61cwmPtllzVrs04O-mUfD6tPpbrYvP6_LJcbIooOIyFtV5acDVU4NGXAJXnYMFzU3rUIqiDQyV1UN4IL1gQxngELAPU_DBfTsn9kRsRcbtLsXNpvz19I_8Av39T1Q</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Zulkepli, J.</creator><creator>Eldabi, T.</creator><creator>Mustafee, N.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20120101</creationdate><title>Hybrid simulation for modelling large systems: An example of integrated care model</title><author>Zulkepli, J. ; Eldabi, T. ; Mustafee, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i217t-99b397af7c7beb877cb1797b168be52d4179e435d4b62b20d266be7e8d7f15313</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Analytical models</topic><topic>Biological system modeling</topic><topic>Context</topic><topic>Context modeling</topic><topic>Integrated circuit modeling</topic><topic>Medical services</topic><toplevel>online_resources</toplevel><creatorcontrib>Zulkepli, J.</creatorcontrib><creatorcontrib>Eldabi, T.</creatorcontrib><creatorcontrib>Mustafee, N.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zulkepli, J.</au><au>Eldabi, T.</au><au>Mustafee, N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Hybrid simulation for modelling large systems: An example of integrated care model</atitle><btitle>Proceedings of the 2012 Winter Simulation Conference (WSC)</btitle><stitle>WSC</stitle><date>2012-01-01</date><risdate>2012</risdate><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>0891-7736</issn><eissn>1558-4305</eissn><isbn>1467347795</isbn><isbn>9781467347792</isbn><eisbn>1467347825</eisbn><eisbn>9781467347815</eisbn><eisbn>1467347817</eisbn><eisbn>1467347809</eisbn><eisbn>9781467347822</eisbn><eisbn>9781467347808</eisbn><abstract>Developing models for large systems is not a trivial task. Using only Discrete Event Simulation (DES) as a modelling technique may mean that the complexity of the underlying model will increase exponentially with the size of the model. An alternative to this is the use of System Dynamics (SD) for modeling large systems using the positive and negative feedback loops. However, for modelling a human-centric system like healthcare, DES is important as it provides individuality analysis; similarly, SD is important as it facilitates the whole systems approach. The combined application of OR/Simulation methods enable the symbiotic realization of the strengths of individual techniques, while reducing their limitations; in this paper it is suggested that a combined SD-DES approach (also referred to as hybrid technique) can be effectively used for modelling large systems. The example being used in this context is the modelling of an Integrated Care (IC) system in healthcare.</abstract><pub>IEEE</pub><doi>10.1109/WSC.2012.6465314</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0891-7736
ispartof Proceedings of the 2012 Winter Simulation Conference (WSC), 2012, p.1-12
issn 0891-7736
1558-4305
language eng
recordid cdi_ieee_primary_6465314
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Analytical models
Biological system modeling
Context
Context modeling
Integrated circuit modeling
Medical services
title Hybrid simulation for modelling large systems: An example of integrated care model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T02%3A09%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Hybrid%20simulation%20for%20modelling%20large%20systems:%20An%20example%20of%20integrated%20care%20model&rft.btitle=Proceedings%20of%20the%202012%20Winter%20Simulation%20Conference%20(WSC)&rft.au=Zulkepli,%20J.&rft.date=2012-01-01&rft.spage=1&rft.epage=12&rft.pages=1-12&rft.issn=0891-7736&rft.eissn=1558-4305&rft.isbn=1467347795&rft.isbn_list=9781467347792&rft_id=info:doi/10.1109/WSC.2012.6465314&rft_dat=%3Cieee_6IE%3E6465314%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1467347825&rft.eisbn_list=9781467347815&rft.eisbn_list=1467347817&rft.eisbn_list=1467347809&rft.eisbn_list=9781467347822&rft.eisbn_list=9781467347808&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6465314&rfr_iscdi=true