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Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems

K Katsaliaki, N Mustafee, S J E Taylor, S Brailsford, Nav Mustafee

Journal of the Operational Research Society, Volume: 60, Issue: 1, Pages: 43 - 51

Swansea University Author: Nav Mustafee

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DOI (Published version): 10.1057/palgrave.jors.2602531

Abstract

<p><span>Decision making in modern supply chains can be extremely daunting due to their complex nature. Discrete-event simulation is a technique that can support decision making by providing what-if analysis and evaluation of quantitative data. However, modelling supply chain systems can...

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Published in: Journal of the Operational Research Society
Published: Palgrave 2009
Online Access: http://www.palgrave-journals.com/jors/journal/v60/n1/full/2602531a.html
URI: https://cronfa.swan.ac.uk/Record/cronfa5228
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2011-10-01T00:00:00.0000000</datestamp><bib-version>v2</bib-version><id>5228</id><entry>2011-10-01</entry><title>Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems</title><swanseaauthors><author><sid>f86f8478d152e1dc527e840f185a2f80</sid><firstname>Nav</firstname><surname>Mustafee</surname><name>Nav Mustafee</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2011-10-01</date><abstract>&lt;p&gt;&lt;span&gt;Decision making in modern supply chains can be extremely daunting due to their complex nature. Discrete-event simulation is a technique that can support decision making by providing what-if analysis and evaluation of quantitative data. However, modelling supply chain systems can result in massively large and complicated models that can take a very long time to run even with today's powerful desktop computers. Distributed simulation has been suggested as a possible solution to this problem, by enabling the use of multiple computers to run models. To investigate this claim, this paper presents experiences in implementing a simulation model with a &amp;lsquo;conventional&amp;rsquo; approach and with a distributed approach. This study takes place in a healthcare setting, the supply chain of blood from donor to recipient. The study compares conventional and distributed model execution times of a supply chain model simulated in the simulation package Simul8. The results show that the execution time of the conventional approach increases almost linearly with the size of the system and also the simulation run period. However, the distributed approach to this problem follows a more linear distribution of the execution time in terms of system size and run time and appears to offer a practical alternative. On the basis of this, the paper concludes that distributed simulation can be successfully applied in certain situations.&lt;/span&gt;&lt;/p&gt;</abstract><type>Journal Article</type><journal>Journal of the Operational Research Society</journal><volume>60</volume><journalNumber>1</journalNumber><paginationStart>43</paginationStart><paginationEnd>51</paginationEnd><publisher>Palgrave</publisher><placeOfPublication/><issnPrint/><issnElectronic/><keywords>distributed simulation, supply chain systems, healthcare operations, simulation software, Simul8</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2009</publishedYear><publishedDate>2009-12-31</publishedDate><doi>10.1057/palgrave.jors.2602531</doi><url>http://www.palgrave-journals.com/jors/journal/v60/n1/full/2602531a.html</url><notes>&lt;p&gt;"Journal of the Operational Research Society" is listed as a 3* journal in the ABS list (ABS Academic Journal Quality Guide, version 4, March 2010).&lt;/p&gt;</notes><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2011-10-01T00:00:00.0000000</lastEdited><Created>2011-10-01T00:00:00.0000000</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>K</firstname><surname>Katsaliaki</surname><order>1</order></author><author><firstname>N</firstname><surname>Mustafee</surname><order>2</order></author><author><firstname>S J E</firstname><surname>Taylor</surname><order>3</order></author><author><firstname>S</firstname><surname>Brailsford</surname><order>4</order></author><author><firstname>Nav</firstname><surname>Mustafee</surname><order>5</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2011-10-01T00:00:00.0000000 v2 5228 2011-10-01 Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems f86f8478d152e1dc527e840f185a2f80 Nav Mustafee Nav Mustafee true false 2011-10-01 <p><span>Decision making in modern supply chains can be extremely daunting due to their complex nature. Discrete-event simulation is a technique that can support decision making by providing what-if analysis and evaluation of quantitative data. However, modelling supply chain systems can result in massively large and complicated models that can take a very long time to run even with today's powerful desktop computers. Distributed simulation has been suggested as a possible solution to this problem, by enabling the use of multiple computers to run models. To investigate this claim, this paper presents experiences in implementing a simulation model with a &lsquo;conventional&rsquo; approach and with a distributed approach. This study takes place in a healthcare setting, the supply chain of blood from donor to recipient. The study compares conventional and distributed model execution times of a supply chain model simulated in the simulation package Simul8. The results show that the execution time of the conventional approach increases almost linearly with the size of the system and also the simulation run period. However, the distributed approach to this problem follows a more linear distribution of the execution time in terms of system size and run time and appears to offer a practical alternative. On the basis of this, the paper concludes that distributed simulation can be successfully applied in certain situations.</span></p> Journal Article Journal of the Operational Research Society 60 1 43 51 Palgrave distributed simulation, supply chain systems, healthcare operations, simulation software, Simul8 31 12 2009 2009-12-31 10.1057/palgrave.jors.2602531 http://www.palgrave-journals.com/jors/journal/v60/n1/full/2602531a.html <p>"Journal of the Operational Research Society" is listed as a 3* journal in the ABS list (ABS Academic Journal Quality Guide, version 4, March 2010).</p> COLLEGE NANME COLLEGE CODE Swansea University 2011-10-01T00:00:00.0000000 2011-10-01T00:00:00.0000000 Faculty of Humanities and Social Sciences School of Management - Business Management K Katsaliaki 1 N Mustafee 2 S J E Taylor 3 S Brailsford 4 Nav Mustafee 5
title Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems
spellingShingle Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems
Nav Mustafee
title_short Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems
title_full Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems
title_fullStr Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems
title_full_unstemmed Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems
title_sort Comparing Conventional and Distributed Approaches to Simulation in Complex Supply-Chain Health Systems
author_id_str_mv f86f8478d152e1dc527e840f185a2f80
author_id_fullname_str_mv f86f8478d152e1dc527e840f185a2f80_***_Nav Mustafee
author Nav Mustafee
author2 K Katsaliaki
N Mustafee
S J E Taylor
S Brailsford
Nav Mustafee
format Journal article
container_title Journal of the Operational Research Society
container_volume 60
container_issue 1
container_start_page 43
publishDate 2009
institution Swansea University
doi_str_mv 10.1057/palgrave.jors.2602531
publisher Palgrave
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url http://www.palgrave-journals.com/jors/journal/v60/n1/full/2602531a.html
document_store_str 0
active_str 0
description <p><span>Decision making in modern supply chains can be extremely daunting due to their complex nature. Discrete-event simulation is a technique that can support decision making by providing what-if analysis and evaluation of quantitative data. However, modelling supply chain systems can result in massively large and complicated models that can take a very long time to run even with today's powerful desktop computers. Distributed simulation has been suggested as a possible solution to this problem, by enabling the use of multiple computers to run models. To investigate this claim, this paper presents experiences in implementing a simulation model with a &lsquo;conventional&rsquo; approach and with a distributed approach. This study takes place in a healthcare setting, the supply chain of blood from donor to recipient. The study compares conventional and distributed model execution times of a supply chain model simulated in the simulation package Simul8. The results show that the execution time of the conventional approach increases almost linearly with the size of the system and also the simulation run period. However, the distributed approach to this problem follows a more linear distribution of the execution time in terms of system size and run time and appears to offer a practical alternative. On the basis of this, the paper concludes that distributed simulation can be successfully applied in certain situations.</span></p>
published_date 2009-12-31T03:06:15Z
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score 11.012924

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