On the role of fuzzy logic in production planning

Production planning means, within a company, essentially the sorting of some products with respect to their "importance". This identifies the few strategic products and helps the management to plan the production process. Usually, for simplicity, only one importance criterion is taken into...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Gerstorfer, E., Hellendoorn, H.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1275 vol.3
container_issue
container_start_page 1271
container_title
container_volume 3
creator Gerstorfer, E.
Hellendoorn, H.
description Production planning means, within a company, essentially the sorting of some products with respect to their "importance". This identifies the few strategic products and helps the management to plan the production process. Usually, for simplicity, only one importance criterion is taken into account. We introduce a fuzzy logic based method for weighing importance criteria against one another. Similar to Pareto's rule, we use fuzzy rules for ordering the products under each criterion, then we show how these local orderings can be integrated into a new total ordering. We introduce the use of hedges in the fuzzy rule base responsible for this integration. The integration requires a novel defuzzification method that we illustrate with an example from the automotive industry.
doi_str_mv 10.1109/FUZZY.1997.619470
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_619470</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>619470</ieee_id><sourcerecordid>619470</sourcerecordid><originalsourceid>FETCH-ieee_primary_6194703</originalsourceid><addsrcrecordid>eNpjYJA0NNAzNDSw1HcLjYqK1DO0tDTXMzO0NDE3YGbgtTS3MAAiY2NzSzNDDgbe4uIsAyAwMTWxNDfnZDD0z1MoyUhVKMrPSVXIT1NIK62qqlTIyU_PTFbIzFMoKMpPKU0uycwHMnMS8_Iy89J5GFjTEnOKU3mhNDeDlJtriLOHbmZqamp8QVFmbmJRZTzEfmO8kgBdpzO0</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>On the role of fuzzy logic in production planning</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Gerstorfer, E. ; Hellendoorn, H.</creator><creatorcontrib>Gerstorfer, E. ; Hellendoorn, H.</creatorcontrib><description>Production planning means, within a company, essentially the sorting of some products with respect to their "importance". This identifies the few strategic products and helps the management to plan the production process. Usually, for simplicity, only one importance criterion is taken into account. We introduce a fuzzy logic based method for weighing importance criteria against one another. Similar to Pareto's rule, we use fuzzy rules for ordering the products under each criterion, then we show how these local orderings can be integrated into a new total ordering. We introduce the use of hedges in the fuzzy rule base responsible for this integration. The integration requires a novel defuzzification method that we illustrate with an example from the automotive industry.</description><identifier>ISBN: 9780780337961</identifier><identifier>ISBN: 0780337964</identifier><identifier>DOI: 10.1109/FUZZY.1997.619470</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automotive engineering ; Boundary conditions ; Costs ; Fluctuations ; Fuzzy logic ; Fuzzy sets ; Numerical analysis ; Optimization methods ; Production planning ; Sorting</subject><ispartof>Proceedings of 6th International Fuzzy Systems Conference, 1997, Vol.3, p.1271-1275 vol.3</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/619470$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,4051,4052,27929,54924</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/619470$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gerstorfer, E.</creatorcontrib><creatorcontrib>Hellendoorn, H.</creatorcontrib><title>On the role of fuzzy logic in production planning</title><title>Proceedings of 6th International Fuzzy Systems Conference</title><addtitle>FUZZY</addtitle><description>Production planning means, within a company, essentially the sorting of some products with respect to their "importance". This identifies the few strategic products and helps the management to plan the production process. Usually, for simplicity, only one importance criterion is taken into account. We introduce a fuzzy logic based method for weighing importance criteria against one another. Similar to Pareto's rule, we use fuzzy rules for ordering the products under each criterion, then we show how these local orderings can be integrated into a new total ordering. We introduce the use of hedges in the fuzzy rule base responsible for this integration. The integration requires a novel defuzzification method that we illustrate with an example from the automotive industry.</description><subject>Automotive engineering</subject><subject>Boundary conditions</subject><subject>Costs</subject><subject>Fluctuations</subject><subject>Fuzzy logic</subject><subject>Fuzzy sets</subject><subject>Numerical analysis</subject><subject>Optimization methods</subject><subject>Production planning</subject><subject>Sorting</subject><isbn>9780780337961</isbn><isbn>0780337964</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpjYJA0NNAzNDSw1HcLjYqK1DO0tDTXMzO0NDE3YGbgtTS3MAAiY2NzSzNDDgbe4uIsAyAwMTWxNDfnZDD0z1MoyUhVKMrPSVXIT1NIK62qqlTIyU_PTFbIzFMoKMpPKU0uycwHMnMS8_Iy89J5GFjTEnOKU3mhNDeDlJtriLOHbmZqamp8QVFmbmJRZTzEfmO8kgBdpzO0</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Gerstorfer, E.</creator><creator>Hellendoorn, H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>On the role of fuzzy logic in production planning</title><author>Gerstorfer, E. ; Hellendoorn, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_6194703</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Automotive engineering</topic><topic>Boundary conditions</topic><topic>Costs</topic><topic>Fluctuations</topic><topic>Fuzzy logic</topic><topic>Fuzzy sets</topic><topic>Numerical analysis</topic><topic>Optimization methods</topic><topic>Production planning</topic><topic>Sorting</topic><toplevel>online_resources</toplevel><creatorcontrib>Gerstorfer, E.</creatorcontrib><creatorcontrib>Hellendoorn, H.</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 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>Gerstorfer, E.</au><au>Hellendoorn, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On the role of fuzzy logic in production planning</atitle><btitle>Proceedings of 6th International Fuzzy Systems Conference</btitle><stitle>FUZZY</stitle><date>1997</date><risdate>1997</risdate><volume>3</volume><spage>1271</spage><epage>1275 vol.3</epage><pages>1271-1275 vol.3</pages><isbn>9780780337961</isbn><isbn>0780337964</isbn><abstract>Production planning means, within a company, essentially the sorting of some products with respect to their "importance". This identifies the few strategic products and helps the management to plan the production process. Usually, for simplicity, only one importance criterion is taken into account. We introduce a fuzzy logic based method for weighing importance criteria against one another. Similar to Pareto's rule, we use fuzzy rules for ordering the products under each criterion, then we show how these local orderings can be integrated into a new total ordering. We introduce the use of hedges in the fuzzy rule base responsible for this integration. The integration requires a novel defuzzification method that we illustrate with an example from the automotive industry.</abstract><pub>IEEE</pub><doi>10.1109/FUZZY.1997.619470</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9780780337961
ispartof Proceedings of 6th International Fuzzy Systems Conference, 1997, Vol.3, p.1271-1275 vol.3
issn
language eng
recordid cdi_ieee_primary_619470
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Automotive engineering
Boundary conditions
Costs
Fluctuations
Fuzzy logic
Fuzzy sets
Numerical analysis
Optimization methods
Production planning
Sorting
title On the role of fuzzy logic in production planning
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T11%3A45%3A59IST&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=On%20the%20role%20of%20fuzzy%20logic%20in%20production%20planning&rft.btitle=Proceedings%20of%206th%20International%20Fuzzy%20Systems%20Conference&rft.au=Gerstorfer,%20E.&rft.date=1997&rft.volume=3&rft.spage=1271&rft.epage=1275%20vol.3&rft.pages=1271-1275%20vol.3&rft.isbn=9780780337961&rft.isbn_list=0780337964&rft_id=info:doi/10.1109/FUZZY.1997.619470&rft_dat=%3Cieee_6IE%3E619470%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=619470&rfr_iscdi=true