Loading…

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Grauer, M., Metz, D., Karadgi, S.S., Schafer, W.
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 16
container_issue
container_start_page 13
container_title
container_volume
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
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5430047</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5430047</ieee_id><sourcerecordid>5430047</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-620acea01aca3c36f3837a3b56189d1e71c01ae79c3942015b341cbab897fe6a3</originalsourceid><addsrcrecordid>eNpVj01LAzEQhiMiKLVHT17yB7Ymm2w-jqVULa1WpOKxzGYnJbjNSrJF_PfdUi-eXp53HoYZQu44m3DO7AMuX9efk5KdWF6QsdWGy1LKShlbXf5jY67JOOdQs1JpdeIb8rVoMPbBBwd96CKF2NDp4OxDey46T5ex-2mx2SH1XaLvCG2xCXuksy72qWtPyjz2mL5TyEjfUucwZ8w0RPoC8eDB9YcU4u6WXHloM47_ckQ-Hueb2XOxWj8tZtNVEbiu-kKVDBwC4-BAOKG8MEKDqCvFjW04au6GGWrrhJXD41UtJHc11MZqjwrEiNyf9wZE3A5X7SH9bispGJNaHAFfNFru</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Grauer, M. ; Metz, D. ; Karadgi, S.S. ; Schafer, W.</creator><creatorcontrib>Grauer, M. ; Metz, D. ; Karadgi, S.S. ; Schafer, W.</creatorcontrib><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.</description><identifier>ISBN: 9781424456888</identifier><identifier>ISBN: 1424456886</identifier><identifier>EISBN: 9781424456895</identifier><identifier>EISBN: 9780769539560</identifier><identifier>EISBN: 1424456894</identifier><identifier>EISBN: 0769539564</identifier><identifier>DOI: 10.1109/eKNOW.2010.14</identifier><language>eng</language><publisher>IEEE</publisher><subject>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</subject><ispartof>2010 Second International Conference on Information, Process, and Knowledge Management, 2010, p.13-16</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/5430047$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5430047$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Grauer, M.</creatorcontrib><creatorcontrib>Metz, D.</creatorcontrib><creatorcontrib>Karadgi, S.S.</creatorcontrib><creatorcontrib>Schafer, W.</creatorcontrib><title>Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing</title><title>2010 Second International Conference on Information, Process, and Knowledge Management</title><addtitle>EKNOW</addtitle><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.</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>
fulltext fulltext_linktorsrc
identifier ISBN: 9781424456888
ispartof 2010 Second International Conference on Information, Process, and Knowledge Management, 2010, p.13-16
issn
language eng
recordid cdi_ieee_primary_5430047
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T14%3A06%3A23IST&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=Identification%20and%20Assimilation%20of%20Knowledge%20for%20Real-Time%20Control%20of%20Enterprise%20Processes%20in%20Manufacturing&rft.btitle=2010%20Second%20International%20Conference%20on%20Information,%20Process,%20and%20Knowledge%20Management&rft.au=Grauer,%20M.&rft.date=2010-02&rft.spage=13&rft.epage=16&rft.pages=13-16&rft.isbn=9781424456888&rft.isbn_list=1424456886&rft_id=info:doi/10.1109/eKNOW.2010.14&rft.eisbn=9781424456895&rft.eisbn_list=9780769539560&rft.eisbn_list=1424456894&rft.eisbn_list=0769539564&rft_dat=%3Cieee_6IE%3E5430047%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-620acea01aca3c36f3837a3b56189d1e71c01ae79c3942015b341cbab897fe6a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5430047&rfr_iscdi=true