Using simulation for supply chain analysis: reviewing and proposing distributed simulation frameworks
Simulation modelling and analysis can be an extremely effective tool for supply chain performance analysis. Many development proposals apply distributed simulation to this context. The aim of this paper is to present an overview of such standards, models and/or architectures, describing the technolo...
Gespeichert in:
Veröffentlicht in: | Production planning & control 2006-03, Vol.17 (2), p.167-175 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 175 |
---|---|
container_issue | 2 |
container_start_page | 167 |
container_title | Production planning & control |
container_volume | 17 |
creator | Bandinelli, R. Rapaccini, M. Tucci, M. Visintin, F. |
description | Simulation modelling and analysis can be an extremely effective tool for supply chain performance analysis. Many development proposals apply distributed simulation to this context. The aim of this paper is to present an overview of such standards, models and/or architectures, describing the technological choices related to each of them, and to propose how and when a distributed supply chain simulation framework is to be used. Our proposal includes brief examples and experiences from experimental researches. Though detailed implementation of the framework is not in the scope of this paper, references for further information are given. In order to provide a coherent presentation of the proposal, this paper will be organised as follows:
Section 1 introduces the context of supply chain management. Section 2 shows how distributed supply chain simulation (DSCS) can be an extremely effective tool for performance analysis in supply chain planning and optimisation. Section 3 points out the available technologies and the technological aspects of a distributed simulation framework, such as inter-process communication (IPC) standards and real-time infrastructures. Section 4 describes how the DSCS framework can be utilised. Section 5 reports on framework validation and gives an outlook on the experimental researches. Finally,
section 6
concludes the paper summarising the proposal and discussing its benefits and drawbacks. |
doi_str_mv | 10.1080/09537280500224051 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_09537280500224051</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>991508811</sourcerecordid><originalsourceid>FETCH-LOGICAL-c458t-6c329ed22d2c0cc9f8c48b2148c9bc96751f5ec3683a5893b0fe1f8190c1a9743</originalsourceid><addsrcrecordid>eNqFkLtOxDAQRS0EEsvjA-giCrqAH4ljIxq04iWtRMPWluM44CWxg52w5O9xWBpYCaop5pyrmQvACYLnCDJ4AXlOCsxgDiHGGczRDpghQmmaswLtgtm0TyNQ7IODEFYwYojyGdDLYOxzEkw7NLI3zia180kYuq4ZE_UijU2klc0YTLhMvH43ej3x0lZJ513nvuzKhN6bcuh19SPJy1avnX8NR2Cvlk3Qx9_zECxvb57m9-ni8e5hfr1IVZazPqWKYK4rjCusoFK8ZipjJUYZU7xUnBY5qnOtCGVE5oyTEtYa1QxxqJDkRUYOwdkmN972NujQi9YEpZtGWu2GIDCHFFFcRPD0F7hyg4-PRmZqkDE6paENpLwLwetadN600o8CQTG1LrZaj87VxjE2FtnK-H5TiV6OjfOxD6tMEOQvvfhX37JE_9GTT-WEm4Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>200228864</pqid></control><display><type>article</type><title>Using simulation for supply chain analysis: reviewing and proposing distributed simulation frameworks</title><source>Taylor & Francis:Master (3349 titles)</source><creator>Bandinelli, R. ; Rapaccini, M. ; Tucci, M. ; Visintin, F.</creator><creatorcontrib>Bandinelli, R. ; Rapaccini, M. ; Tucci, M. ; Visintin, F.</creatorcontrib><description>Simulation modelling and analysis can be an extremely effective tool for supply chain performance analysis. Many development proposals apply distributed simulation to this context. The aim of this paper is to present an overview of such standards, models and/or architectures, describing the technological choices related to each of them, and to propose how and when a distributed supply chain simulation framework is to be used. Our proposal includes brief examples and experiences from experimental researches. Though detailed implementation of the framework is not in the scope of this paper, references for further information are given. In order to provide a coherent presentation of the proposal, this paper will be organised as follows:
Section 1 introduces the context of supply chain management. Section 2 shows how distributed supply chain simulation (DSCS) can be an extremely effective tool for performance analysis in supply chain planning and optimisation. Section 3 points out the available technologies and the technological aspects of a distributed simulation framework, such as inter-process communication (IPC) standards and real-time infrastructures. Section 4 describes how the DSCS framework can be utilised. Section 5 reports on framework validation and gives an outlook on the experimental researches. Finally,
section 6
concludes the paper summarising the proposal and discussing its benefits and drawbacks.</description><identifier>ISSN: 0953-7287</identifier><identifier>EISSN: 1366-5871</identifier><identifier>DOI: 10.1080/09537280500224051</identifier><language>eng</language><publisher>London: Taylor & Francis Group</publisher><subject>Computer based modeling ; Distributed simulation ; DSCS ; HLA ; Operations management ; SCM ; Simulation ; Studies ; Supply chain simulation ; Supply chains</subject><ispartof>Production planning & control, 2006-03, Vol.17 (2), p.167-175</ispartof><rights>Copyright Taylor & Francis Group, LLC 2006</rights><rights>Copyright Taylor & Francis Group Mar 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-6c329ed22d2c0cc9f8c48b2148c9bc96751f5ec3683a5893b0fe1f8190c1a9743</citedby><cites>FETCH-LOGICAL-c458t-6c329ed22d2c0cc9f8c48b2148c9bc96751f5ec3683a5893b0fe1f8190c1a9743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/09537280500224051$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/09537280500224051$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,59620,60409</link.rule.ids></links><search><creatorcontrib>Bandinelli, R.</creatorcontrib><creatorcontrib>Rapaccini, M.</creatorcontrib><creatorcontrib>Tucci, M.</creatorcontrib><creatorcontrib>Visintin, F.</creatorcontrib><title>Using simulation for supply chain analysis: reviewing and proposing distributed simulation frameworks</title><title>Production planning & control</title><description>Simulation modelling and analysis can be an extremely effective tool for supply chain performance analysis. Many development proposals apply distributed simulation to this context. The aim of this paper is to present an overview of such standards, models and/or architectures, describing the technological choices related to each of them, and to propose how and when a distributed supply chain simulation framework is to be used. Our proposal includes brief examples and experiences from experimental researches. Though detailed implementation of the framework is not in the scope of this paper, references for further information are given. In order to provide a coherent presentation of the proposal, this paper will be organised as follows:
Section 1 introduces the context of supply chain management. Section 2 shows how distributed supply chain simulation (DSCS) can be an extremely effective tool for performance analysis in supply chain planning and optimisation. Section 3 points out the available technologies and the technological aspects of a distributed simulation framework, such as inter-process communication (IPC) standards and real-time infrastructures. Section 4 describes how the DSCS framework can be utilised. Section 5 reports on framework validation and gives an outlook on the experimental researches. Finally,
section 6
concludes the paper summarising the proposal and discussing its benefits and drawbacks.</description><subject>Computer based modeling</subject><subject>Distributed simulation</subject><subject>DSCS</subject><subject>HLA</subject><subject>Operations management</subject><subject>SCM</subject><subject>Simulation</subject><subject>Studies</subject><subject>Supply chain simulation</subject><subject>Supply chains</subject><issn>0953-7287</issn><issn>1366-5871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkLtOxDAQRS0EEsvjA-giCrqAH4ljIxq04iWtRMPWluM44CWxg52w5O9xWBpYCaop5pyrmQvACYLnCDJ4AXlOCsxgDiHGGczRDpghQmmaswLtgtm0TyNQ7IODEFYwYojyGdDLYOxzEkw7NLI3zia180kYuq4ZE_UijU2klc0YTLhMvH43ej3x0lZJ513nvuzKhN6bcuh19SPJy1avnX8NR2Cvlk3Qx9_zECxvb57m9-ni8e5hfr1IVZazPqWKYK4rjCusoFK8ZipjJUYZU7xUnBY5qnOtCGVE5oyTEtYa1QxxqJDkRUYOwdkmN972NujQi9YEpZtGWu2GIDCHFFFcRPD0F7hyg4-PRmZqkDE6paENpLwLwetadN600o8CQTG1LrZaj87VxjE2FtnK-H5TiV6OjfOxD6tMEOQvvfhX37JE_9GTT-WEm4Y</recordid><startdate>20060301</startdate><enddate>20060301</enddate><creator>Bandinelli, R.</creator><creator>Rapaccini, M.</creator><creator>Tucci, M.</creator><creator>Visintin, F.</creator><general>Taylor & Francis Group</general><general>Taylor & Francis LLC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope></search><sort><creationdate>20060301</creationdate><title>Using simulation for supply chain analysis: reviewing and proposing distributed simulation frameworks</title><author>Bandinelli, R. ; Rapaccini, M. ; Tucci, M. ; Visintin, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-6c329ed22d2c0cc9f8c48b2148c9bc96751f5ec3683a5893b0fe1f8190c1a9743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Computer based modeling</topic><topic>Distributed simulation</topic><topic>DSCS</topic><topic>HLA</topic><topic>Operations management</topic><topic>SCM</topic><topic>Simulation</topic><topic>Studies</topic><topic>Supply chain simulation</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bandinelli, R.</creatorcontrib><creatorcontrib>Rapaccini, M.</creatorcontrib><creatorcontrib>Tucci, M.</creatorcontrib><creatorcontrib>Visintin, F.</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Production planning & control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bandinelli, R.</au><au>Rapaccini, M.</au><au>Tucci, M.</au><au>Visintin, F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using simulation for supply chain analysis: reviewing and proposing distributed simulation frameworks</atitle><jtitle>Production planning & control</jtitle><date>2006-03-01</date><risdate>2006</risdate><volume>17</volume><issue>2</issue><spage>167</spage><epage>175</epage><pages>167-175</pages><issn>0953-7287</issn><eissn>1366-5871</eissn><abstract>Simulation modelling and analysis can be an extremely effective tool for supply chain performance analysis. Many development proposals apply distributed simulation to this context. The aim of this paper is to present an overview of such standards, models and/or architectures, describing the technological choices related to each of them, and to propose how and when a distributed supply chain simulation framework is to be used. Our proposal includes brief examples and experiences from experimental researches. Though detailed implementation of the framework is not in the scope of this paper, references for further information are given. In order to provide a coherent presentation of the proposal, this paper will be organised as follows:
Section 1 introduces the context of supply chain management. Section 2 shows how distributed supply chain simulation (DSCS) can be an extremely effective tool for performance analysis in supply chain planning and optimisation. Section 3 points out the available technologies and the technological aspects of a distributed simulation framework, such as inter-process communication (IPC) standards and real-time infrastructures. Section 4 describes how the DSCS framework can be utilised. Section 5 reports on framework validation and gives an outlook on the experimental researches. Finally,
section 6
concludes the paper summarising the proposal and discussing its benefits and drawbacks.</abstract><cop>London</cop><pub>Taylor & Francis Group</pub><doi>10.1080/09537280500224051</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0953-7287 |
ispartof | Production planning & control, 2006-03, Vol.17 (2), p.167-175 |
issn | 0953-7287 1366-5871 |
language | eng |
recordid | cdi_crossref_primary_10_1080_09537280500224051 |
source | Taylor & Francis:Master (3349 titles) |
subjects | Computer based modeling Distributed simulation DSCS HLA Operations management SCM Simulation Studies Supply chain simulation Supply chains |
title | Using simulation for supply chain analysis: reviewing and proposing distributed simulation frameworks |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T00%3A12%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20simulation%20for%20supply%20chain%20analysis:%20reviewing%20and%20proposing%20distributed%20simulation%20frameworks&rft.jtitle=Production%20planning%20&%20control&rft.au=Bandinelli,%20R.&rft.date=2006-03-01&rft.volume=17&rft.issue=2&rft.spage=167&rft.epage=175&rft.pages=167-175&rft.issn=0953-7287&rft.eissn=1366-5871&rft_id=info:doi/10.1080/09537280500224051&rft_dat=%3Cproquest_cross%3E991508811%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=200228864&rft_id=info:pmid/&rfr_iscdi=true |