Simulation-based shop floor control
This paper presents an overview of simulation-based shop floor control. Much of the work described is based on research conducted in the Computer Integrated Manufacturing (CIM) Lab at The Pennsylvania State University, the Texas A&M Computer Aided Manufacturing Lab (TAMCAM), Technion in Israel,...
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| Veröffentlicht in: | Journal of manufacturing systems 2002-01, Vol.21 (5), p.380-394 |
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| creator | Son, Young-Jun Joshi, Sanjay B. Wysk, Richard A. Smith, Jeffrey S. |
| description | This paper presents an overview of simulation-based shop floor control. Much of the work described is based on research conducted in the Computer Integrated Manufacturing (CIM) Lab at The Pennsylvania State University, the Texas A&M Computer Aided Manufacturing Lab (TAMCAM), Technion in Israel, and the University of Arizona CIM lab over the past decade. In this approach, a discrete event simulation is used not only as a traditional analysis and evaluation tool but also as a task generator that drives shop floor operations in real time. To enable this, a special feature of the Arena™ simulation language was used whereby the simulation model interacts directly with a shop floor execution system by sending and receiving messages. This control simulation reads process plans and master production orders from external databases that are updated by a process planning system and coordinated via an external business system. The control simulation also interacts with other external programs such as a planner, a scheduler, and an error detection and recovery function. In this paper, the architecture, implementation, and the integration of all the components of the proposed simulation-based control system are described in detail. Finally, extensions to this approach, including automatic model generation, are described. |
| doi_str_mv | 10.1016/S0278-6125(02)80036-X |
| format | Article |
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Much of the work described is based on research conducted in the Computer Integrated Manufacturing (CIM) Lab at The Pennsylvania State University, the Texas A&M Computer Aided Manufacturing Lab (TAMCAM), Technion in Israel, and the University of Arizona CIM lab over the past decade. In this approach, a discrete event simulation is used not only as a traditional analysis and evaluation tool but also as a task generator that drives shop floor operations in real time. To enable this, a special feature of the Arena™ simulation language was used whereby the simulation model interacts directly with a shop floor execution system by sending and receiving messages. This control simulation reads process plans and master production orders from external databases that are updated by a process planning system and coordinated via an external business system. The control simulation also interacts with other external programs such as a planner, a scheduler, and an error detection and recovery function. In this paper, the architecture, implementation, and the integration of all the components of the proposed simulation-based control system are described in detail. Finally, extensions to this approach, including automatic model generation, are described.</description><identifier>ISSN: 0278-6125</identifier><identifier>EISSN: 1878-6642</identifier><identifier>DOI: 10.1016/S0278-6125(02)80036-X</identifier><identifier>CODEN: JMSYEB</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Calendars ; CAM ; CIM ; Computer aided manufacturing ; Computer science; control theory; systems ; Control theory. Systems ; Controllers ; Decision making ; Exact sciences and technology ; Inventory control, production control. 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Computer integrated manufacturing ; Process planning ; Production controls ; Production scheduling ; Real time ; Real-Time Scheduling ; Schedules ; Scheduling ; Scheduling, sequencing ; Shop Floor Control ; Simulation ; Studies</subject><ispartof>Journal of manufacturing systems, 2002-01, Vol.21 (5), p.380-394</ispartof><rights>2002</rights><rights>2003 INIST-CNRS</rights><rights>Copyright Society of Manufacturing Engineers 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-b47a60270c736c077f306b979c4adb494e25b37e3e4224050a030ad4227f633b3</citedby><cites>FETCH-LOGICAL-c364t-b47a60270c736c077f306b979c4adb494e25b37e3e4224050a030ad4227f633b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0278-6125(02)80036-X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14652029$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Son, Young-Jun</creatorcontrib><creatorcontrib>Joshi, Sanjay B.</creatorcontrib><creatorcontrib>Wysk, Richard A.</creatorcontrib><creatorcontrib>Smith, Jeffrey S.</creatorcontrib><title>Simulation-based shop floor control</title><title>Journal of manufacturing systems</title><description>This paper presents an overview of simulation-based shop floor control. Much of the work described is based on research conducted in the Computer Integrated Manufacturing (CIM) Lab at The Pennsylvania State University, the Texas A&M Computer Aided Manufacturing Lab (TAMCAM), Technion in Israel, and the University of Arizona CIM lab over the past decade. In this approach, a discrete event simulation is used not only as a traditional analysis and evaluation tool but also as a task generator that drives shop floor operations in real time. To enable this, a special feature of the Arena™ simulation language was used whereby the simulation model interacts directly with a shop floor execution system by sending and receiving messages. This control simulation reads process plans and master production orders from external databases that are updated by a process planning system and coordinated via an external business system. The control simulation also interacts with other external programs such as a planner, a scheduler, and an error detection and recovery function. In this paper, the architecture, implementation, and the integration of all the components of the proposed simulation-based control system are described in detail. Finally, extensions to this approach, including automatic model generation, are described.</description><subject>Applied sciences</subject><subject>Calendars</subject><subject>CAM</subject><subject>CIM</subject><subject>Computer aided manufacturing</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Controllers</subject><subject>Decision making</subject><subject>Exact sciences and technology</subject><subject>Inventory control, production control. Distribution</subject><subject>Manufacturing execution systems</subject><subject>Mathematical models</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Process control. Computer integrated manufacturing</subject><subject>Process planning</subject><subject>Production controls</subject><subject>Production scheduling</subject><subject>Real time</subject><subject>Real-Time Scheduling</subject><subject>Schedules</subject><subject>Scheduling</subject><subject>Scheduling, sequencing</subject><subject>Shop Floor Control</subject><subject>Simulation</subject><subject>Studies</subject><issn>0278-6125</issn><issn>1878-6642</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkN1LwzAUxYMoWKd_glAUQR-qNx9N2icZwy8Y-DCFvYU0TTGja2bSCv73ptvQR58u9_K753AOQucYbjFgfrcAIoqMY5JfA7kpACjPlgcowcV45owcouQXOUYnIawAMGFAEnS5sOuhVb11XVapYOo0fLhN2rTO-VS7rveuPUVHjWqDOdvPCXp_fHibPWfz16eX2XSeacpZn1VMKB59QAvKNQjRUOBVKUrNVF2xkhmSV1QYahiJ5jkooKDquIiGU1rRCbrY6W68-xxM6OXKDb6LlhKXIi9xwcoI5TtIexeCN43ceLtW_ltikGMdcluHHLNKIHJbh1zGv6u9uApatY1Xnbbh75nxnAAZ9e93nIlJv6zxMmhrOm1q643uZe3sP04_ejNxhg</recordid><startdate>20020101</startdate><enddate>20020101</enddate><creator>Son, Young-Jun</creator><creator>Joshi, Sanjay B.</creator><creator>Wysk, Richard A.</creator><creator>Smith, Jeffrey S.</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>SME</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>883</scope><scope>88I</scope><scope>88K</scope><scope>8AL</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M0F</scope><scope>M0N</scope><scope>M2O</scope><scope>M2P</scope><scope>M2T</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20020101</creationdate><title>Simulation-based shop floor control</title><author>Son, Young-Jun ; Joshi, Sanjay B. ; Wysk, Richard A. ; Smith, Jeffrey S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-b47a60270c736c077f306b979c4adb494e25b37e3e4224050a030ad4227f633b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>Calendars</topic><topic>CAM</topic><topic>CIM</topic><topic>Computer aided manufacturing</topic><topic>Computer science; control theory; systems</topic><topic>Control theory. Systems</topic><topic>Controllers</topic><topic>Decision making</topic><topic>Exact sciences and technology</topic><topic>Inventory control, production control. Distribution</topic><topic>Manufacturing execution systems</topic><topic>Mathematical models</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Process control. Computer integrated manufacturing</topic><topic>Process planning</topic><topic>Production controls</topic><topic>Production scheduling</topic><topic>Real time</topic><topic>Real-Time Scheduling</topic><topic>Schedules</topic><topic>Scheduling</topic><topic>Scheduling, sequencing</topic><topic>Shop Floor Control</topic><topic>Simulation</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Son, Young-Jun</creatorcontrib><creatorcontrib>Joshi, Sanjay B.</creatorcontrib><creatorcontrib>Wysk, Richard A.</creatorcontrib><creatorcontrib>Smith, Jeffrey S.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ABI/INFORM Trade & Industry (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Telecommunications (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>ABI/INFORM Trade & Industry</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Telecommunications Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of manufacturing systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Son, Young-Jun</au><au>Joshi, Sanjay B.</au><au>Wysk, Richard A.</au><au>Smith, Jeffrey S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation-based shop floor control</atitle><jtitle>Journal of manufacturing systems</jtitle><date>2002-01-01</date><risdate>2002</risdate><volume>21</volume><issue>5</issue><spage>380</spage><epage>394</epage><pages>380-394</pages><issn>0278-6125</issn><eissn>1878-6642</eissn><coden>JMSYEB</coden><abstract>This paper presents an overview of simulation-based shop floor control. Much of the work described is based on research conducted in the Computer Integrated Manufacturing (CIM) Lab at The Pennsylvania State University, the Texas A&M Computer Aided Manufacturing Lab (TAMCAM), Technion in Israel, and the University of Arizona CIM lab over the past decade. In this approach, a discrete event simulation is used not only as a traditional analysis and evaluation tool but also as a task generator that drives shop floor operations in real time. To enable this, a special feature of the Arena™ simulation language was used whereby the simulation model interacts directly with a shop floor execution system by sending and receiving messages. This control simulation reads process plans and master production orders from external databases that are updated by a process planning system and coordinated via an external business system. The control simulation also interacts with other external programs such as a planner, a scheduler, and an error detection and recovery function. In this paper, the architecture, implementation, and the integration of all the components of the proposed simulation-based control system are described in detail. Finally, extensions to this approach, including automatic model generation, are described.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/S0278-6125(02)80036-X</doi><tpages>15</tpages></addata></record> |
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| identifier | ISSN: 0278-6125 |
| ispartof | Journal of manufacturing systems, 2002-01, Vol.21 (5), p.380-394 |
| issn | 0278-6125 1878-6642 |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Applied sciences Calendars CAM CIM Computer aided manufacturing Computer science control theory systems Control theory. Systems Controllers Decision making Exact sciences and technology Inventory control, production control. Distribution Manufacturing execution systems Mathematical models Operational research and scientific management Operational research. Management science Process control. Computer integrated manufacturing Process planning Production controls Production scheduling Real time Real-Time Scheduling Schedules Scheduling Scheduling, sequencing Shop Floor Control Simulation Studies |
| title | Simulation-based shop floor control |
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