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Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing
Today's enterprises are operating in a complex and volatile business environment. To address this situation, enterprises try to realize horizontal and vertical integration of business and engineering processes leading to real-time enterprise. Enterprise data model assists in integrating data ge...
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creator | Grauer, M. Metz, D. Karadgi, S.S. Schafer, W. |
description | Today's enterprises are operating in a complex and volatile business environment. To address this situation, enterprises try to realize horizontal and vertical integration of business and engineering processes leading to real-time enterprise. Enterprise data model assists in integrating data generated from automation systems in (milli) seconds and data from business applications referring to long time horizons (e.g., days). However, the integrated data is not used extensively for real-time control of enterprise processes. Therefore, a methodology is presented for identification and assimilation of knowledge for real-time control of enterprise processes. Real-time control of enterprise processes aims at increasing performances in manufacturing. |
doi_str_mv | 10.1109/eKNOW.2010.14 |
format | conference_proceeding |
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Real-time control of enterprise processes aims at increasing performances in manufacturing.</description><subject>Automatic control</subject><subject>Data mining</subject><subject>Data models</subject><subject>enterprise integration</subject><subject>IEC standards</subject><subject>ISO standards</subject><subject>knowledge discovery in databases</subject><subject>Knowledge management</subject><subject>manufacturing</subject><subject>Manufacturing processes</subject><subject>Process control</subject><subject>real-time control</subject><subject>Service oriented architecture</subject><isbn>9781424456888</isbn><isbn>1424456886</isbn><isbn>9781424456895</isbn><isbn>9780769539560</isbn><isbn>1424456894</isbn><isbn>0769539564</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVj01LAzEQhiMiKLVHT17yB7Ymm2w-jqVULa1WpOKxzGYnJbjNSrJF_PfdUi-eXp53HoYZQu44m3DO7AMuX9efk5KdWF6QsdWGy1LKShlbXf5jY67JOOdQs1JpdeIb8rVoMPbBBwd96CKF2NDp4OxDey46T5ex-2mx2SH1XaLvCG2xCXuksy72qWtPyjz2mL5TyEjfUucwZ8w0RPoC8eDB9YcU4u6WXHloM47_ckQ-Hueb2XOxWj8tZtNVEbiu-kKVDBwC4-BAOKG8MEKDqCvFjW04au6GGWrrhJXD41UtJHc11MZqjwrEiNyf9wZE3A5X7SH9bispGJNaHAFfNFru</recordid><startdate>201002</startdate><enddate>201002</enddate><creator>Grauer, M.</creator><creator>Metz, D.</creator><creator>Karadgi, S.S.</creator><creator>Schafer, W.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201002</creationdate><title>Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing</title><author>Grauer, M. ; Metz, D. ; Karadgi, S.S. ; Schafer, W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-620acea01aca3c36f3837a3b56189d1e71c01ae79c3942015b341cbab897fe6a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Automatic control</topic><topic>Data mining</topic><topic>Data models</topic><topic>enterprise integration</topic><topic>IEC standards</topic><topic>ISO standards</topic><topic>knowledge discovery in databases</topic><topic>Knowledge management</topic><topic>manufacturing</topic><topic>Manufacturing processes</topic><topic>Process control</topic><topic>real-time control</topic><topic>Service oriented architecture</topic><toplevel>online_resources</toplevel><creatorcontrib>Grauer, M.</creatorcontrib><creatorcontrib>Metz, D.</creatorcontrib><creatorcontrib>Karadgi, S.S.</creatorcontrib><creatorcontrib>Schafer, W.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Grauer, M.</au><au>Metz, D.</au><au>Karadgi, S.S.</au><au>Schafer, W.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing</atitle><btitle>2010 Second International Conference on Information, Process, and Knowledge Management</btitle><stitle>EKNOW</stitle><date>2010-02</date><risdate>2010</risdate><spage>13</spage><epage>16</epage><pages>13-16</pages><isbn>9781424456888</isbn><isbn>1424456886</isbn><eisbn>9781424456895</eisbn><eisbn>9780769539560</eisbn><eisbn>1424456894</eisbn><eisbn>0769539564</eisbn><abstract>Today's enterprises are operating in a complex and volatile business environment. To address this situation, enterprises try to realize horizontal and vertical integration of business and engineering processes leading to real-time enterprise. Enterprise data model assists in integrating data generated from automation systems in (milli) seconds and data from business applications referring to long time horizons (e.g., days). However, the integrated data is not used extensively for real-time control of enterprise processes. Therefore, a methodology is presented for identification and assimilation of knowledge for real-time control of enterprise processes. Real-time control of enterprise processes aims at increasing performances in manufacturing.</abstract><pub>IEEE</pub><doi>10.1109/eKNOW.2010.14</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Automatic control Data mining Data models enterprise integration IEC standards ISO standards knowledge discovery in databases Knowledge management manufacturing Manufacturing processes Process control real-time control Service oriented architecture |
title | Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing |
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