Estimation of cutting tool failure costs
Probabilistic cutting tool replacement models assume that tool life is stochastic in nature. This implies that a tool can wear out before the planned replacement, as a result of which penalty costs are incurred. If these costs, as well as the tool failure function and the cost of scheduled replaceme...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 266 |
---|---|
container_issue | |
container_start_page | 262 |
container_title | |
container_volume | |
creator | Vagnorius, Z. Sorby, K. |
description | Probabilistic cutting tool replacement models assume that tool life is stochastic in nature. This implies that a tool can wear out before the planned replacement, as a result of which penalty costs are incurred. If these costs, as well as the tool failure function and the cost of scheduled replacement, are known, optimal tool replacement time can be found. While many researchers have focused on the latter two elements, there are very few articles explaining what penalty costs are and how they should be calculated. Therefore this article presents an approach for estimating the costs of tool failure for a one-stage machining operation. |
doi_str_mv | 10.1109/IEEM.2009.5373366 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5373366</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5373366</ieee_id><sourcerecordid>5373366</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-ebedae33a136c28b1639ceea4950cc031ed129df4f4eb2647cba8f589b3fa0fb3</originalsourceid><addsrcrecordid>eNo9kM1KAzEYReNPwbbOA4ibWbqZ8fvyn6WUUQsVNwruSpJJJDJ2pEkXvr0WB1d3ceBwuIRcIbSIYG7XXffUUgDTCqYYk_KEVEZp5JRzrhXoUzKnKFTDJH07I4sJSKPO_wHijCyODgNCg7ogVc4fAIBUS2rknNx0uaRPW9K4q8dY-0Mpafdel3Ec6mjTcNiH2o-55Esyi3bIoZp2SV7vu5fVY7N5fliv7jZNQiVKE1zobWDMIpOeaoeSGR-C5UaA98Aw9EhNH3nkwVHJlXdWR6GNY9FCdGxJrv-8KYSw_dr_xu2_t9MD7Ae26kjN</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Estimation of cutting tool failure costs</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Vagnorius, Z. ; Sorby, K.</creator><creatorcontrib>Vagnorius, Z. ; Sorby, K.</creatorcontrib><description>Probabilistic cutting tool replacement models assume that tool life is stochastic in nature. This implies that a tool can wear out before the planned replacement, as a result of which penalty costs are incurred. If these costs, as well as the tool failure function and the cost of scheduled replacement, are known, optimal tool replacement time can be found. While many researchers have focused on the latter two elements, there are very few articles explaining what penalty costs are and how they should be calculated. Therefore this article presents an approach for estimating the costs of tool failure for a one-stage machining operation.</description><identifier>ISSN: 2157-3611</identifier><identifier>ISBN: 1424448697</identifier><identifier>ISBN: 9781424448692</identifier><identifier>EISSN: 2157-362X</identifier><identifier>EISBN: 9781424448708</identifier><identifier>EISBN: 1424448700</identifier><identifier>DOI: 10.1109/IEEM.2009.5373366</identifier><identifier>LCCN: 2009905807</identifier><language>eng</language><publisher>IEEE</publisher><subject>cost ; Cost function ; Cutting tools ; failure ; Failure analysis ; ISO standards ; Life estimation ; Machining ; Production ; Random variables ; Stochastic processes ; Throughput</subject><ispartof>2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009, p.262-266</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/5373366$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5373366$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Vagnorius, Z.</creatorcontrib><creatorcontrib>Sorby, K.</creatorcontrib><title>Estimation of cutting tool failure costs</title><title>2009 IEEE International Conference on Industrial Engineering and Engineering Management</title><addtitle>IEEM</addtitle><description>Probabilistic cutting tool replacement models assume that tool life is stochastic in nature. This implies that a tool can wear out before the planned replacement, as a result of which penalty costs are incurred. If these costs, as well as the tool failure function and the cost of scheduled replacement, are known, optimal tool replacement time can be found. While many researchers have focused on the latter two elements, there are very few articles explaining what penalty costs are and how they should be calculated. Therefore this article presents an approach for estimating the costs of tool failure for a one-stage machining operation.</description><subject>cost</subject><subject>Cost function</subject><subject>Cutting tools</subject><subject>failure</subject><subject>Failure analysis</subject><subject>ISO standards</subject><subject>Life estimation</subject><subject>Machining</subject><subject>Production</subject><subject>Random variables</subject><subject>Stochastic processes</subject><subject>Throughput</subject><issn>2157-3611</issn><issn>2157-362X</issn><isbn>1424448697</isbn><isbn>9781424448692</isbn><isbn>9781424448708</isbn><isbn>1424448700</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kM1KAzEYReNPwbbOA4ibWbqZ8fvyn6WUUQsVNwruSpJJJDJ2pEkXvr0WB1d3ceBwuIRcIbSIYG7XXffUUgDTCqYYk_KEVEZp5JRzrhXoUzKnKFTDJH07I4sJSKPO_wHijCyODgNCg7ogVc4fAIBUS2rknNx0uaRPW9K4q8dY-0Mpafdel3Ec6mjTcNiH2o-55Esyi3bIoZp2SV7vu5fVY7N5fliv7jZNQiVKE1zobWDMIpOeaoeSGR-C5UaA98Aw9EhNH3nkwVHJlXdWR6GNY9FCdGxJrv-8KYSw_dr_xu2_t9MD7Ae26kjN</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Vagnorius, Z.</creator><creator>Sorby, K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Estimation of cutting tool failure costs</title><author>Vagnorius, Z. ; Sorby, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ebedae33a136c28b1639ceea4950cc031ed129df4f4eb2647cba8f589b3fa0fb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>cost</topic><topic>Cost function</topic><topic>Cutting tools</topic><topic>failure</topic><topic>Failure analysis</topic><topic>ISO standards</topic><topic>Life estimation</topic><topic>Machining</topic><topic>Production</topic><topic>Random variables</topic><topic>Stochastic processes</topic><topic>Throughput</topic><toplevel>online_resources</toplevel><creatorcontrib>Vagnorius, Z.</creatorcontrib><creatorcontrib>Sorby, K.</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>Vagnorius, Z.</au><au>Sorby, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Estimation of cutting tool failure costs</atitle><btitle>2009 IEEE International Conference on Industrial Engineering and Engineering Management</btitle><stitle>IEEM</stitle><date>2009-12</date><risdate>2009</risdate><spage>262</spage><epage>266</epage><pages>262-266</pages><issn>2157-3611</issn><eissn>2157-362X</eissn><isbn>1424448697</isbn><isbn>9781424448692</isbn><eisbn>9781424448708</eisbn><eisbn>1424448700</eisbn><abstract>Probabilistic cutting tool replacement models assume that tool life is stochastic in nature. This implies that a tool can wear out before the planned replacement, as a result of which penalty costs are incurred. If these costs, as well as the tool failure function and the cost of scheduled replacement, are known, optimal tool replacement time can be found. While many researchers have focused on the latter two elements, there are very few articles explaining what penalty costs are and how they should be calculated. Therefore this article presents an approach for estimating the costs of tool failure for a one-stage machining operation.</abstract><pub>IEEE</pub><doi>10.1109/IEEM.2009.5373366</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2157-3611 |
ispartof | 2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009, p.262-266 |
issn | 2157-3611 2157-362X |
language | eng |
recordid | cdi_ieee_primary_5373366 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | cost Cost function Cutting tools failure Failure analysis ISO standards Life estimation Machining Production Random variables Stochastic processes Throughput |
title | Estimation of cutting tool failure costs |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T06%3A00%3A42IST&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=Estimation%20of%20cutting%20tool%20failure%20costs&rft.btitle=2009%20IEEE%20International%20Conference%20on%20Industrial%20Engineering%20and%20Engineering%20Management&rft.au=Vagnorius,%20Z.&rft.date=2009-12&rft.spage=262&rft.epage=266&rft.pages=262-266&rft.issn=2157-3611&rft.eissn=2157-362X&rft.isbn=1424448697&rft.isbn_list=9781424448692&rft_id=info:doi/10.1109/IEEM.2009.5373366&rft_dat=%3Cieee_6IE%3E5373366%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424448708&rft.eisbn_list=1424448700&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5373366&rfr_iscdi=true |