Research on new methods to improve the ability of on-time delivery in discrete enterprises
In order to improve the ability of on-time deliveries, the proportional integral (PI) control algorithm is proposed to apply for work-in-progress (WIP) control in discrete manufacturing systems. To guarantee the least amount of WIP in the production system, a sensitivity constrained optimization mod...
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description | In order to improve the ability of on-time deliveries, the proportional integral (PI) control algorithm is proposed to apply for work-in-progress (WIP) control in discrete manufacturing systems. To guarantee the least amount of WIP in the production system, a sensitivity constrained optimization model is designed on the frequency domain. Taking certain motorcycle engine crankcases' production system as an example, the feasibility of PI application is evaluated. Two kinds of controllers, a backlog controller and an input-rate controller, are then devised to realize the proportional and integral control in production systems. Interacting with each other, these controllers have made the engineering implementation of PI controllers a reality. Simulation results confirm that the implemented PI controllers contain good control effects. |
doi_str_mv | 10.1109/ICMA.2009.5246011 |
format | Conference Proceeding |
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Simulation results confirm that the implemented PI controllers contain good control effects.</description><subject>Constraint optimization</subject><subject>Control systems</subject><subject>Design optimization</subject><subject>Discrete manufacturing systems</subject><subject>Engines</subject><subject>Frequency domain analysis</subject><subject>Manufacturing systems</subject><subject>modeling&simulation</subject><subject>Motorcycles</subject><subject>On-time delivery</subject><subject>Pi control</subject><subject>Production systems</subject><subject>Proportional control</subject><subject>Proportional integral control</subject><issn>2152-7431</issn><issn>2152-744X</issn><isbn>1424426928</isbn><isbn>9781424426928</isbn><isbn>1424426936</isbn><isbn>9781424426935</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkFtLw0AQhddLwbb2B4gv-wdS9355LMVLoSKIgvhSNtkJWWmSsrtU8u8NWPS8zMM5fDNzELqhZEkpsXeb9fNqyQixS8mEIpSeoRkVTAimLFfnaMqoZIUW4uPi32Dm8s_gdIJmI8BYIpUlV2iR0hcZJSTTikzR5yskcLFqcN_hDr5xC7npfcK5x6E9xP4IODeAXRn2IQ-4r8dgkUML2MM-HCEOOHTYh1RFyIChyxAPMSRI12hSu32CxWnO0fvD_dv6qdi-PG7Wq20RqJa5UJrUJReghZeVKbUzRnpiKz3eq6lRVnJXqpKq2nillecWmJF1SR3A-EPN5-j2lxsAYDfubl0cdqfC-A-g6FkP</recordid><startdate>200908</startdate><enddate>200908</enddate><creator>Guo, Caifen</creator><creator>Li, Shaokun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200908</creationdate><title>Research on new methods to improve the ability of on-time delivery in discrete enterprises</title><author>Guo, Caifen ; Li, Shaokun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-670fb34e74d5c8b7a885d09c76907186953ab6b16f8d676d39e285fb1aee276f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Constraint optimization</topic><topic>Control systems</topic><topic>Design optimization</topic><topic>Discrete manufacturing systems</topic><topic>Engines</topic><topic>Frequency domain analysis</topic><topic>Manufacturing systems</topic><topic>modeling&simulation</topic><topic>Motorcycles</topic><topic>On-time delivery</topic><topic>Pi control</topic><topic>Production systems</topic><topic>Proportional control</topic><topic>Proportional integral control</topic><toplevel>online_resources</toplevel><creatorcontrib>Guo, Caifen</creatorcontrib><creatorcontrib>Li, Shaokun</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/IET Electronic Library</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>Guo, Caifen</au><au>Li, Shaokun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research on new methods to improve the ability of on-time delivery in discrete enterprises</atitle><btitle>2009 International Conference on Mechatronics and Automation</btitle><stitle>ICMA</stitle><date>2009-08</date><risdate>2009</risdate><spage>702</spage><epage>707</epage><pages>702-707</pages><issn>2152-7431</issn><eissn>2152-744X</eissn><isbn>1424426928</isbn><isbn>9781424426928</isbn><eisbn>1424426936</eisbn><eisbn>9781424426935</eisbn><abstract>In order to improve the ability of on-time deliveries, the proportional integral (PI) control algorithm is proposed to apply for work-in-progress (WIP) control in discrete manufacturing systems. To guarantee the least amount of WIP in the production system, a sensitivity constrained optimization model is designed on the frequency domain. Taking certain motorcycle engine crankcases' production system as an example, the feasibility of PI application is evaluated. Two kinds of controllers, a backlog controller and an input-rate controller, are then devised to realize the proportional and integral control in production systems. Interacting with each other, these controllers have made the engineering implementation of PI controllers a reality. Simulation results confirm that the implemented PI controllers contain good control effects.</abstract><pub>IEEE</pub><doi>10.1109/ICMA.2009.5246011</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Constraint optimization Control systems Design optimization Discrete manufacturing systems Engines Frequency domain analysis Manufacturing systems modeling&simulation Motorcycles On-time delivery Pi control Production systems Proportional control Proportional integral control |
title | Research on new methods to improve the ability of on-time delivery in discrete enterprises |
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