A modeling and aggregation approach for analyzing resilience of manufacturing enterprises
We consider modeling of manufacturing enterprises as networks which process, store, and transport materials between enterprise nodes in order to feed customer demand. Each node within the network is represented as a dynamic model with associated costs of production and inventory. Examples of disrupt...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 697 |
|---|---|
| container_issue | |
| container_start_page | 692 |
| container_title | |
| container_volume | |
| creator | Yao Hu Jingshan Li Holloway, L.E. |
| description | We consider modeling of manufacturing enterprises as networks which process, store, and transport materials between enterprise nodes in order to feed customer demand. Each node within the network is represented as a dynamic model with associated costs of production and inventory. Examples of disruptions for such an enterprise could be weather events, material shortages, equipment disasters, or labor events. Using the dynamic model, we consider major disruptions within this network. We present aggregation methods which can support the analysis to evaluate the impact of these disruptions, and develop control strategies that reduce the impact of the disruption. |
| doi_str_mv | 10.1109/ICSMC.2009.5346703 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5346703</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5346703</ieee_id><sourcerecordid>5346703</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-428c423629b23a879c57c4cad9a5531ccbb68f0c71c0240505a0fb7641c531d3</originalsourceid><addsrcrecordid>eNpVkLtOw0AURJdHJJyQH4Bmf8Dh7nu3jCwekYIoSAFVdL1eGyPHjtZOEb4eR6ShmuKMzkhDyB2DBWPgHlbZ-2u24ABuoYTUBsQFmTtjmeRScuOkuyQJV8akTCt19Y8Jfk0SBpqnjvOPCZmOGutAaws3ZNr33wAcJLMJ-VzSXVeEpm4rim1BsapiqHCou5bifh879F-07OIIsTn-nGox9HVTh9YH2pV0h-2hRD8c4omFdghxH-s-9LdkUmLTh_k5Z2Tz9LjJXtL12_MqW67Tmhk1pJJbL7nQ3OVcoDXOK-Olx8KhUoJ5n-faluAN88AlKFAIZW60ZH7EhZiR-z9tHULYjtM7jMft-THxC6ExWdM</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A modeling and aggregation approach for analyzing resilience of manufacturing enterprises</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Yao Hu ; Jingshan Li ; Holloway, L.E.</creator><creatorcontrib>Yao Hu ; Jingshan Li ; Holloway, L.E.</creatorcontrib><description>We consider modeling of manufacturing enterprises as networks which process, store, and transport materials between enterprise nodes in order to feed customer demand. Each node within the network is represented as a dynamic model with associated costs of production and inventory. Examples of disruptions for such an enterprise could be weather events, material shortages, equipment disasters, or labor events. Using the dynamic model, we consider major disruptions within this network. We present aggregation methods which can support the analysis to evaluate the impact of these disruptions, and develop control strategies that reduce the impact of the disruption.</description><identifier>ISSN: 1062-922X</identifier><identifier>ISBN: 9781424427932</identifier><identifier>ISBN: 1424427932</identifier><identifier>EISSN: 2577-1655</identifier><identifier>EISBN: 9781424427949</identifier><identifier>EISBN: 1424427940</identifier><identifier>DOI: 10.1109/ICSMC.2009.5346703</identifier><identifier>LCCN: 2008906680</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer aided manufacturing ; Control systems ; Fires ; Manufacturing ; Manufacturing processes ; Modeling ; Production ; Resilience ; Supply chains ; Terrorism ; USA Councils ; Virtual manufacturing</subject><ispartof>2009 IEEE International Conference on Systems, Man and Cybernetics, 2009, p.692-697</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5346703$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5346703$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yao Hu</creatorcontrib><creatorcontrib>Jingshan Li</creatorcontrib><creatorcontrib>Holloway, L.E.</creatorcontrib><title>A modeling and aggregation approach for analyzing resilience of manufacturing enterprises</title><title>2009 IEEE International Conference on Systems, Man and Cybernetics</title><addtitle>ICSMC</addtitle><description>We consider modeling of manufacturing enterprises as networks which process, store, and transport materials between enterprise nodes in order to feed customer demand. Each node within the network is represented as a dynamic model with associated costs of production and inventory. Examples of disruptions for such an enterprise could be weather events, material shortages, equipment disasters, or labor events. Using the dynamic model, we consider major disruptions within this network. We present aggregation methods which can support the analysis to evaluate the impact of these disruptions, and develop control strategies that reduce the impact of the disruption.</description><subject>Computer aided manufacturing</subject><subject>Control systems</subject><subject>Fires</subject><subject>Manufacturing</subject><subject>Manufacturing processes</subject><subject>Modeling</subject><subject>Production</subject><subject>Resilience</subject><subject>Supply chains</subject><subject>Terrorism</subject><subject>USA Councils</subject><subject>Virtual manufacturing</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>9781424427932</isbn><isbn>1424427932</isbn><isbn>9781424427949</isbn><isbn>1424427940</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkLtOw0AURJdHJJyQH4Bmf8Dh7nu3jCwekYIoSAFVdL1eGyPHjtZOEb4eR6ShmuKMzkhDyB2DBWPgHlbZ-2u24ABuoYTUBsQFmTtjmeRScuOkuyQJV8akTCt19Y8Jfk0SBpqnjvOPCZmOGutAaws3ZNr33wAcJLMJ-VzSXVeEpm4rim1BsapiqHCou5bifh879F-07OIIsTn-nGox9HVTh9YH2pV0h-2hRD8c4omFdghxH-s-9LdkUmLTh_k5Z2Tz9LjJXtL12_MqW67Tmhk1pJJbL7nQ3OVcoDXOK-Olx8KhUoJ5n-faluAN88AlKFAIZW60ZH7EhZiR-z9tHULYjtM7jMft-THxC6ExWdM</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Yao Hu</creator><creator>Jingshan Li</creator><creator>Holloway, L.E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200910</creationdate><title>A modeling and aggregation approach for analyzing resilience of manufacturing enterprises</title><author>Yao Hu ; Jingshan Li ; Holloway, L.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-428c423629b23a879c57c4cad9a5531ccbb68f0c71c0240505a0fb7641c531d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Computer aided manufacturing</topic><topic>Control systems</topic><topic>Fires</topic><topic>Manufacturing</topic><topic>Manufacturing processes</topic><topic>Modeling</topic><topic>Production</topic><topic>Resilience</topic><topic>Supply chains</topic><topic>Terrorism</topic><topic>USA Councils</topic><topic>Virtual manufacturing</topic><toplevel>online_resources</toplevel><creatorcontrib>Yao Hu</creatorcontrib><creatorcontrib>Jingshan Li</creatorcontrib><creatorcontrib>Holloway, L.E.</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>Yao Hu</au><au>Jingshan Li</au><au>Holloway, L.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A modeling and aggregation approach for analyzing resilience of manufacturing enterprises</atitle><btitle>2009 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2009-10</date><risdate>2009</risdate><spage>692</spage><epage>697</epage><pages>692-697</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9781424427932</isbn><isbn>1424427932</isbn><eisbn>9781424427949</eisbn><eisbn>1424427940</eisbn><abstract>We consider modeling of manufacturing enterprises as networks which process, store, and transport materials between enterprise nodes in order to feed customer demand. Each node within the network is represented as a dynamic model with associated costs of production and inventory. Examples of disruptions for such an enterprise could be weather events, material shortages, equipment disasters, or labor events. Using the dynamic model, we consider major disruptions within this network. We present aggregation methods which can support the analysis to evaluate the impact of these disruptions, and develop control strategies that reduce the impact of the disruption.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2009.5346703</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1062-922X |
| ispartof | 2009 IEEE International Conference on Systems, Man and Cybernetics, 2009, p.692-697 |
| issn | 1062-922X 2577-1655 |
| language | eng |
| recordid | cdi_ieee_primary_5346703 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer aided manufacturing Control systems Fires Manufacturing Manufacturing processes Modeling Production Resilience Supply chains Terrorism USA Councils Virtual manufacturing |
| title | A modeling and aggregation approach for analyzing resilience of manufacturing enterprises |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T21%3A06%3A24IST&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=A%20modeling%20and%20aggregation%20approach%20for%20analyzing%20resilience%20of%20manufacturing%20enterprises&rft.btitle=2009%20IEEE%20International%20Conference%20on%20Systems,%20Man%20and%20Cybernetics&rft.au=Yao%20Hu&rft.date=2009-10&rft.spage=692&rft.epage=697&rft.pages=692-697&rft.issn=1062-922X&rft.eissn=2577-1655&rft.isbn=9781424427932&rft.isbn_list=1424427932&rft_id=info:doi/10.1109/ICSMC.2009.5346703&rft_dat=%3Cieee_6IE%3E5346703%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424427949&rft.eisbn_list=1424427940&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5346703&rfr_iscdi=true |