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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of production research 1990-04, Vol.28 (4), p.735-756
Hauptverfasser: LINN, RICHARD J., WYSK, RICHARD A.
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 &amp; 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 &amp; 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 &amp; 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&amp;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 &amp; Francis Group</general><general>Taylor &amp; 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 &amp; 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 &amp; 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