Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart
Performance of a production system depends on breakdown-free operation of equipment and processes. Maintenance and quality control play an important role in achieving this goal. This paper presents an integrated model for joint optimization of preventive maintenance and quality control policy with c...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2016-02, Vol.82 (9-12), p.2101-2112 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Shrivastava, Divya Kulkarni, Makarand S. Vrat, Prem |
| description | Performance of a production system depends on breakdown-free operation of equipment and processes. Maintenance and quality control play an important role in achieving this goal. This paper presents an integrated model for joint optimization of preventive maintenance and quality control policy with cumulative sum (CUSUM) control chart parameters. Two types of maintenance policies are considered, namely minimal corrective maintenance and imperfect preventive maintenance. The proposed model enables the determination of the optimal value of each of the five decision variables, i.e. sample size (
n
), sample interval (
h
), the reference value (
K
), the decision interval (
h
1
) and preventive maintenance interval (
t
PM
), that minimize the expected total system cost per unit time. A numerical example is presented to demonstrate the effect of the cost parameters on the integrated design of preventive maintenance and quality control policy. It also compares the system performance employing the proposed integrated approach with that obtained by considering maintenance and CUSUM chart independently. Substantial economic benefit of 19 % is seen in the joint optimization. |
| doi_str_mv | 10.1007/s00170-015-7502-7 |
| format | Article |
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n
), sample interval (
h
), the reference value (
K
), the decision interval (
h
1
) and preventive maintenance interval (
t
PM
), that minimize the expected total system cost per unit time. A numerical example is presented to demonstrate the effect of the cost parameters on the integrated design of preventive maintenance and quality control policy. It also compares the system performance employing the proposed integrated approach with that obtained by considering maintenance and CUSUM chart independently. Substantial economic benefit of 19 % is seen in the joint optimization.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-015-7502-7</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>CAE) and Design ; Computer-Aided Engineering (CAD ; Control charts ; Control equipment ; CUSUM charts ; Engineering ; Industrial and Production Engineering ; Maintenance management ; Mathematical models ; Mechanical Engineering ; Media Management ; Optimization ; Original Article ; Parameters ; Preventive maintenance ; Quality control</subject><ispartof>International journal of advanced manufacturing technology, 2016-02, Vol.82 (9-12), p.2101-2112</ispartof><rights>Springer-Verlag London 2015</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2015). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c429t-ab869edb73bfaec21083d016ddc483735d4859fc07083dc805cafc1fa29ea9f23</citedby><cites>FETCH-LOGICAL-c429t-ab869edb73bfaec21083d016ddc483735d4859fc07083dc805cafc1fa29ea9f23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-015-7502-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-015-7502-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Shrivastava, Divya</creatorcontrib><creatorcontrib>Kulkarni, Makarand S.</creatorcontrib><creatorcontrib>Vrat, Prem</creatorcontrib><title>Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>Performance of a production system depends on breakdown-free operation of equipment and processes. Maintenance and quality control play an important role in achieving this goal. This paper presents an integrated model for joint optimization of preventive maintenance and quality control policy with cumulative sum (CUSUM) control chart parameters. Two types of maintenance policies are considered, namely minimal corrective maintenance and imperfect preventive maintenance. The proposed model enables the determination of the optimal value of each of the five decision variables, i.e. sample size (
n
), sample interval (
h
), the reference value (
K
), the decision interval (
h
1
) and preventive maintenance interval (
t
PM
), that minimize the expected total system cost per unit time. A numerical example is presented to demonstrate the effect of the cost parameters on the integrated design of preventive maintenance and quality control policy. It also compares the system performance employing the proposed integrated approach with that obtained by considering maintenance and CUSUM chart independently. Substantial economic benefit of 19 % is seen in the joint optimization.</description><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Control charts</subject><subject>Control equipment</subject><subject>CUSUM charts</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Maintenance management</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Parameters</subject><subject>Preventive maintenance</subject><subject>Quality control</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE1LAzEQhoMoWKs_wFvAczQfu5vsUYofBcWD9hyy-Wi3bLPbJK3035tlBU-eBmaed2Z4ALgl-J5gzB8ixoRjhEmJeIkp4mdgRgrGEMutczDDtBKI8UpcgqsYt5muSCVmoFn6ZNdBJWugsbFde9g7OAR7tD61Rwt3qs2EV15bqLyB-4Pq2nSCuvcp9B0c-q7VJziooHY22RDhd5s2cLH6XL1DvVEhXYMLp7pob37rHKyen74Wr-jt42W5eHxDuqB1QqoRVW1Nw1njlNWUYMFMftMYXQjGWWkKUdZOYz4OtMClVk4Tp2htVe0om4O7ae8Q-v3BxiS3_SH4fFJSWlFGKKE8U2SidOhjDNbJIbQ7FU6SYDmqlJNKmb3JUaUcM3TKxMz6tQ1_m_8P_QCHbngC</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Shrivastava, Divya</creator><creator>Kulkarni, Makarand S.</creator><creator>Vrat, Prem</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20160201</creationdate><title>Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart</title><author>Shrivastava, Divya ; Kulkarni, Makarand S. ; Vrat, Prem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c429t-ab869edb73bfaec21083d016ddc483735d4859fc07083dc805cafc1fa29ea9f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Control charts</topic><topic>Control equipment</topic><topic>CUSUM charts</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Maintenance management</topic><topic>Mathematical models</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Parameters</topic><topic>Preventive maintenance</topic><topic>Quality control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shrivastava, Divya</creatorcontrib><creatorcontrib>Kulkarni, Makarand S.</creatorcontrib><creatorcontrib>Vrat, Prem</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shrivastava, Divya</au><au>Kulkarni, Makarand S.</au><au>Vrat, Prem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2016-02-01</date><risdate>2016</risdate><volume>82</volume><issue>9-12</issue><spage>2101</spage><epage>2112</epage><pages>2101-2112</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>Performance of a production system depends on breakdown-free operation of equipment and processes. Maintenance and quality control play an important role in achieving this goal. This paper presents an integrated model for joint optimization of preventive maintenance and quality control policy with cumulative sum (CUSUM) control chart parameters. Two types of maintenance policies are considered, namely minimal corrective maintenance and imperfect preventive maintenance. The proposed model enables the determination of the optimal value of each of the five decision variables, i.e. sample size (
n
), sample interval (
h
), the reference value (
K
), the decision interval (
h
1
) and preventive maintenance interval (
t
PM
), that minimize the expected total system cost per unit time. A numerical example is presented to demonstrate the effect of the cost parameters on the integrated design of preventive maintenance and quality control policy. It also compares the system performance employing the proposed integrated approach with that obtained by considering maintenance and CUSUM chart independently. Substantial economic benefit of 19 % is seen in the joint optimization.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-015-7502-7</doi><tpages>12</tpages></addata></record> |
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| issn | 0268-3768 1433-3015 |
| language | eng |
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| source | SpringerNature Journals |
| subjects | CAE) and Design Computer-Aided Engineering (CAD Control charts Control equipment CUSUM charts Engineering Industrial and Production Engineering Maintenance management Mathematical models Mechanical Engineering Media Management Optimization Original Article Parameters Preventive maintenance Quality control |
| title | Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart |
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