An expert system based controller for an automated storage/retrieval system
Expert systems have demonstrated their ability to solve problems of a specific domain and achieve quality performance. The technology has been applied in numerous engineering areas. In this paper, an expert system based AS/RS controller, ECSSIM, is presented. The system plans a control strategy base...
Gespeichert in:
Veröffentlicht in: | International journal of production research 1990-04, Vol.28 (4), p.735-756 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 756 |
---|---|
container_issue | 4 |
container_start_page | 735 |
container_title | International journal of production research |
container_volume | 28 |
creator | LINN, RICHARD J. WYSK, RICHARD A. |
description | Expert systems have demonstrated their ability to solve problems of a specific domain and achieve quality performance. The technology has been applied in numerous engineering areas. In this paper, an expert system based AS/RS controller, ECSSIM, is presented. The system plans a control strategy based on the long term system characteristics. However, the system alters the control strategy tactically according to the short term control needs. The system performed very well particularly at high demand levels. It also demonstrated its capability of sensing poor control strategies, and tactically compensate for the strategy selection error. |
doi_str_mv | 10.1080/00207549008942752 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_pascalfrancis_primary_19822912</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>25104928</sourcerecordid><originalsourceid>FETCH-LOGICAL-c420t-2c7ebc67789fb9c3a59333f6196750067c66cb83908c294f86aceeff5e1510463</originalsourceid><addsrcrecordid>eNqNkUtLAzEUhYMoWKs_wN1s1NXYPCYvcFOKLyy4UXA3pOmNjGQmNUnV_nuntOJCFO_mLs53zoF7ETom-JxghUcYUyx5pTFWuqKS0x00IEyIkiv1tIsGa73sAbaPDlJ6wf1wVQ3Q3bgr4GMBMRdplTK0xcwkmBc2dDkG7yEWLsTCdIVZ5tCa3Gsph2ieYRQhxwbejN9aD9GeMz7B0XYP0ePV5cPkppzeX99OxtPSVhTnkloJMyukVNrNtGWGa8aYE0QLyTEW0gphZ4pprCzVlVPCWADnOBBOcCXYEJ1tchcxvC4h5bptkgXvTQdhmWpZcc2lrFRPnv5JUq76e2HxD7Bv1nSdSDagjSGlCK5exKY1cVUTXK8_Uf_4RO852YabZI130XS2Sd9GrSjVZM1dbLim62_emvcQ_bzOZuVD_DKx32s-Acz1mmc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>25104928</pqid></control><display><type>article</type><title>An expert system based controller for an automated storage/retrieval system</title><source>Business Source Complete</source><source>Taylor & Francis Journals Complete</source><creator>LINN, RICHARD J. ; WYSK, RICHARD A.</creator><creatorcontrib>LINN, RICHARD J. ; WYSK, RICHARD A.</creatorcontrib><description>Expert systems have demonstrated their ability to solve problems of a specific domain and achieve quality performance. The technology has been applied in numerous engineering areas. In this paper, an expert system based AS/RS controller, ECSSIM, is presented. The system plans a control strategy based on the long term system characteristics. However, the system alters the control strategy tactically according to the short term control needs. The system performed very well particularly at high demand levels. It also demonstrated its capability of sensing poor control strategies, and tactically compensate for the strategy selection error.</description><identifier>ISSN: 0020-7543</identifier><identifier>EISSN: 1366-588X</identifier><identifier>DOI: 10.1080/00207549008942752</identifier><identifier>CODEN: IJPRB8</identifier><language>eng</language><publisher>London: Taylor & Francis Group</publisher><subject>Applied sciences ; artificial intelligence ; Exact sciences and technology ; expert systems ; Inventory control, production control. Distribution ; Operational research and scientific management ; Operational research. Management science ; production control</subject><ispartof>International journal of production research, 1990-04, Vol.28 (4), p.735-756</ispartof><rights>Copyright Taylor & Francis Group, LLC 1990</rights><rights>1991 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-2c7ebc67789fb9c3a59333f6196750067c66cb83908c294f86aceeff5e1510463</citedby><cites>FETCH-LOGICAL-c420t-2c7ebc67789fb9c3a59333f6196750067c66cb83908c294f86aceeff5e1510463</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/00207549008942752$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/00207549008942752$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,59626,60415</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19822912$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>LINN, RICHARD J.</creatorcontrib><creatorcontrib>WYSK, RICHARD A.</creatorcontrib><title>An expert system based controller for an automated storage/retrieval system</title><title>International journal of production research</title><description>Expert systems have demonstrated their ability to solve problems of a specific domain and achieve quality performance. The technology has been applied in numerous engineering areas. In this paper, an expert system based AS/RS controller, ECSSIM, is presented. The system plans a control strategy based on the long term system characteristics. However, the system alters the control strategy tactically according to the short term control needs. The system performed very well particularly at high demand levels. It also demonstrated its capability of sensing poor control strategies, and tactically compensate for the strategy selection error.</description><subject>Applied sciences</subject><subject>artificial intelligence</subject><subject>Exact sciences and technology</subject><subject>expert systems</subject><subject>Inventory control, production control. Distribution</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>production control</subject><issn>0020-7543</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><recordid>eNqNkUtLAzEUhYMoWKs_wN1s1NXYPCYvcFOKLyy4UXA3pOmNjGQmNUnV_nuntOJCFO_mLs53zoF7ETom-JxghUcYUyx5pTFWuqKS0x00IEyIkiv1tIsGa73sAbaPDlJ6wf1wVQ3Q3bgr4GMBMRdplTK0xcwkmBc2dDkG7yEWLsTCdIVZ5tCa3Gsph2ieYRQhxwbejN9aD9GeMz7B0XYP0ePV5cPkppzeX99OxtPSVhTnkloJMyukVNrNtGWGa8aYE0QLyTEW0gphZ4pprCzVlVPCWADnOBBOcCXYEJ1tchcxvC4h5bptkgXvTQdhmWpZcc2lrFRPnv5JUq76e2HxD7Bv1nSdSDagjSGlCK5exKY1cVUTXK8_Uf_4RO852YabZI130XS2Sd9GrSjVZM1dbLim62_emvcQ_bzOZuVD_DKx32s-Acz1mmc</recordid><startdate>19900401</startdate><enddate>19900401</enddate><creator>LINN, RICHARD J.</creator><creator>WYSK, RICHARD A.</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>7SC</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7TC</scope></search><sort><creationdate>19900401</creationdate><title>An expert system based controller for an automated storage/retrieval system</title><author>LINN, RICHARD J. ; WYSK, RICHARD A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-2c7ebc67789fb9c3a59333f6196750067c66cb83908c294f86aceeff5e1510463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Applied sciences</topic><topic>artificial intelligence</topic><topic>Exact sciences and technology</topic><topic>expert systems</topic><topic>Inventory control, production control. Distribution</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>production control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LINN, RICHARD J.</creatorcontrib><creatorcontrib>WYSK, RICHARD A.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Mechanical Engineering Abstracts</collection><jtitle>International journal of production research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LINN, RICHARD J.</au><au>WYSK, RICHARD A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An expert system based controller for an automated storage/retrieval system</atitle><jtitle>International journal of production research</jtitle><date>1990-04-01</date><risdate>1990</risdate><volume>28</volume><issue>4</issue><spage>735</spage><epage>756</epage><pages>735-756</pages><issn>0020-7543</issn><eissn>1366-588X</eissn><coden>IJPRB8</coden><abstract>Expert systems have demonstrated their ability to solve problems of a specific domain and achieve quality performance. The technology has been applied in numerous engineering areas. In this paper, an expert system based AS/RS controller, ECSSIM, is presented. The system plans a control strategy based on the long term system characteristics. However, the system alters the control strategy tactically according to the short term control needs. The system performed very well particularly at high demand levels. It also demonstrated its capability of sensing poor control strategies, and tactically compensate for the strategy selection error.</abstract><cop>London</cop><cop>Washington, DC</cop><pub>Taylor & Francis Group</pub><doi>10.1080/00207549008942752</doi><tpages>22</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0020-7543 |
ispartof | International journal of production research, 1990-04, Vol.28 (4), p.735-756 |
issn | 0020-7543 1366-588X |
language | eng |
recordid | cdi_pascalfrancis_primary_19822912 |
source | Business Source Complete; Taylor & Francis Journals Complete |
subjects | Applied sciences artificial intelligence Exact sciences and technology expert systems Inventory control, production control. Distribution Operational research and scientific management Operational research. Management science production control |
title | An expert system based controller for an automated storage/retrieval system |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T08%3A08%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20expert%20system%20based%20controller%20for%20an%20automated%20storage/retrieval%20system&rft.jtitle=International%20journal%20of%20production%20research&rft.au=LINN,%20RICHARD%20J.&rft.date=1990-04-01&rft.volume=28&rft.issue=4&rft.spage=735&rft.epage=756&rft.pages=735-756&rft.issn=0020-7543&rft.eissn=1366-588X&rft.coden=IJPRB8&rft_id=info:doi/10.1080/00207549008942752&rft_dat=%3Cproquest_pasca%3E25104928%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=25104928&rft_id=info:pmid/&rfr_iscdi=true |