Modeling, validation and control of manufacturing systems
In this paper we elaborate on the problem of supply chain control in semiconductor manufacturing. First, we introduce the problem. Next, we propose the use of effective processing times (which can be measured from real factory data) to arrive at 'simple' discrete-event models for manufactu...
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creator | Lefeber, E. van den Berg, R.A. Rooda, J.E. |
description | In this paper we elaborate on the problem of supply chain control in semiconductor manufacturing. First, we introduce the problem. Next, we propose the use of effective processing times (which can be measured from real factory data) to arrive at 'simple' discrete-event models for manufacturing systems. We explain why existing models can not be used for solving the problem and explain the need for PDE-models that consider the flow of products as a compressible fluid flow. Next, we present a validation study in which we compare the response of the currently available PDE-models to the results of discrete-event simulation. We conclude the paper by analytically deriving a controller that solves the ramp-up problem. The resulting controller is often used in practice. |
doi_str_mv | 10.23919/ACC.2004.1384033 |
format | Conference Proceeding |
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The resulting controller is often used in practice.</description><identifier>ISSN: 0743-1619</identifier><identifier>ISBN: 9780780383357</identifier><identifier>ISBN: 0780383354</identifier><identifier>EISSN: 2378-5861</identifier><identifier>DOI: 10.23919/ACC.2004.1384033</identifier><language>eng</language><publisher>Piscataway NJ: IEEE</publisher><subject>Applied sciences ; Assembly ; Computer science; control theory; systems ; Control system synthesis ; Control theory. Systems ; Exact sciences and technology ; Fluid flow control ; Inventory control, production control. Distribution ; Manufacturing processes ; Manufacturing systems ; Operational research and scientific management ; Operational research. 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First, we introduce the problem. Next, we propose the use of effective processing times (which can be measured from real factory data) to arrive at 'simple' discrete-event models for manufacturing systems. We explain why existing models can not be used for solving the problem and explain the need for PDE-models that consider the flow of products as a compressible fluid flow. Next, we present a validation study in which we compare the response of the currently available PDE-models to the results of discrete-event simulation. We conclude the paper by analytically deriving a controller that solves the ramp-up problem. The resulting controller is often used in practice.</description><subject>Applied sciences</subject><subject>Assembly</subject><subject>Computer science; control theory; systems</subject><subject>Control system synthesis</subject><subject>Control theory. Systems</subject><subject>Exact sciences and technology</subject><subject>Fluid flow control</subject><subject>Inventory control, production control. Distribution</subject><subject>Manufacturing processes</subject><subject>Manufacturing systems</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Production facilities</subject><subject>Pulp manufacturing</subject><subject>Semiconductor device manufacture</subject><subject>Semiconductor device modeling</subject><subject>Supply chains</subject><issn>0743-1619</issn><issn>2378-5861</issn><isbn>9780780383357</isbn><isbn>0780383354</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpF0EtLw0AUBeDBB1hrf4C4yUZXJs7MTWbmLkvwBRU3ug430xuJ5FEzidB_b6AF4cJZnI-zuEJcK5loQIUP6zxPtJRposClEuBELDRYF2fOqFOxQuvkfOAAMnsmFtKmECuj8EJchvAtpUI0ciHwrd9yU3df99EvNfWWxrrvIuq2ke-7ceibqK-ilrqpIj9OwwyjsA8jt-FKnFfUBF4dcyk-nx4_8pd48_78mq83sdcqHWO0KMsMnC-5JFcZRkPGMEuJyMSZSZ1XVSZTVF6xhspbAl1aQFLas4WluDvs7ob-Z-IwFm0dPDcNddxPodDoZoxyhrdHSMFTUw3U-ToUu6FuadgXykGmlYHZ3Rxczcz_9eGN8AdODmNA</recordid><startdate>20040101</startdate><enddate>20040101</enddate><creator>Lefeber, E.</creator><creator>van den Berg, R.A.</creator><creator>Rooda, J.E.</creator><general>IEEE</general><general>American Automatic Control Council</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>IQODW</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20040101</creationdate><title>Modeling, validation and control of manufacturing systems</title><author>Lefeber, E. ; van den Berg, R.A. ; Rooda, J.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c214t-9790b538cbeba8f6e96a66ee0099eae5648c1f50491c1e23fc7a32b739a12ce73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Assembly</topic><topic>Computer science; control theory; systems</topic><topic>Control system synthesis</topic><topic>Control theory. Systems</topic><topic>Exact sciences and technology</topic><topic>Fluid flow control</topic><topic>Inventory control, production control. Distribution</topic><topic>Manufacturing processes</topic><topic>Manufacturing systems</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Production facilities</topic><topic>Pulp manufacturing</topic><topic>Semiconductor device manufacture</topic><topic>Semiconductor device modeling</topic><topic>Supply chains</topic><toplevel>online_resources</toplevel><creatorcontrib>Lefeber, E.</creatorcontrib><creatorcontrib>van den Berg, R.A.</creatorcontrib><creatorcontrib>Rooda, J.E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Pascal-Francis</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</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></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lefeber, E.</au><au>van den Berg, R.A.</au><au>Rooda, J.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Modeling, validation and control of manufacturing systems</atitle><btitle>2004 American Control Conference Proceedings; Volume 5 of 6</btitle><stitle>ACC</stitle><date>2004-01-01</date><risdate>2004</risdate><volume>5</volume><spage>4583</spage><epage>4588 vol.5</epage><pages>4583-4588 vol.5</pages><issn>0743-1619</issn><eissn>2378-5861</eissn><isbn>9780780383357</isbn><isbn>0780383354</isbn><abstract>In this paper we elaborate on the problem of supply chain control in semiconductor manufacturing. First, we introduce the problem. Next, we propose the use of effective processing times (which can be measured from real factory data) to arrive at 'simple' discrete-event models for manufacturing systems. We explain why existing models can not be used for solving the problem and explain the need for PDE-models that consider the flow of products as a compressible fluid flow. Next, we present a validation study in which we compare the response of the currently available PDE-models to the results of discrete-event simulation. We conclude the paper by analytically deriving a controller that solves the ramp-up problem. The resulting controller is often used in practice.</abstract><cop>Piscataway NJ</cop><cop>Evanston IL</cop><pub>IEEE</pub><doi>10.23919/ACC.2004.1384033</doi><tpages>6</tpages></addata></record> |
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ispartof | 2004 American Control Conference Proceedings; Volume 5 of 6, 2004, Vol.5, p.4583-4588 vol.5 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Applied sciences Assembly Computer science control theory systems Control system synthesis Control theory. Systems Exact sciences and technology Fluid flow control Inventory control, production control. Distribution Manufacturing processes Manufacturing systems Operational research and scientific management Operational research. Management science Production facilities Pulp manufacturing Semiconductor device manufacture Semiconductor device modeling Supply chains |
title | Modeling, validation and control of manufacturing systems |
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