Cooperative Optimization of Reconfigurable Machine Tool Configurations and Production Process Plan
The production process plan design and configurations of reconfigurable machine tool （RMT） interact with each other. Reasonable process plans with suitable configurations of RMT help to improve product quality and reduce production cost. Therefore, a cooperative strategy is needed to concurrently so...
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| Veröffentlicht in: | Chinese journal of mechanical engineering 2012-09, Vol.25 (5), p.982-989 |
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| creator | Xie, Nan Li, Aiping Xue, Wei |
| description | The production process plan design and configurations of reconfigurable machine tool （RMT） interact with each other. Reasonable process plans with suitable configurations of RMT help to improve product quality and reduce production cost. Therefore, a cooperative strategy is needed to concurrently solve the above issue. In this paper, the cooperative optimization model for RMT configurations and production process plan is presented. Its objectives take into account both impacts of process and configuration. Moreover, a novel genetic algorithm is also developed to provide optimal or near-optimal solutions： firstly, its chromosome is redesigned which is composed of three parts, operations, process plan and configurations of RMTs, respectively; secondly, its new selection, crossover and mutation operators are also developed to deal with the process constraints from operation processes （OP） graph, otherwise these operators could generate illegal solutions violating the limits; eventually the optimal configurations for RMT under optimal process plan design can be obtained. At last, a manufacturing line case is applied which is composed of three RMTs. It is shown from the case that the optimal process plan and configurations of RMT are concurrently obtained, and the production cost decreases 6.28% and nonmonetary performance increases 22%. The proposed method can figure out both RMT configurations and production process, improve production capacity, functions and equipment utilization for RMT. |
| doi_str_mv | 10.3901/CJME.2012.05.982 |
| format | Article |
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Reasonable process plans with suitable configurations of RMT help to improve product quality and reduce production cost. Therefore, a cooperative strategy is needed to concurrently solve the above issue. In this paper, the cooperative optimization model for RMT configurations and production process plan is presented. Its objectives take into account both impacts of process and configuration. Moreover, a novel genetic algorithm is also developed to provide optimal or near-optimal solutions： firstly, its chromosome is redesigned which is composed of three parts, operations, process plan and configurations of RMTs, respectively; secondly, its new selection, crossover and mutation operators are also developed to deal with the process constraints from operation processes （OP） graph, otherwise these operators could generate illegal solutions violating the limits; eventually the optimal configurations for RMT under optimal process plan design can be obtained. At last, a manufacturing line case is applied which is composed of three RMTs. It is shown from the case that the optimal process plan and configurations of RMT are concurrently obtained, and the production cost decreases 6.28% and nonmonetary performance increases 22%. The proposed method can figure out both RMT configurations and production process, improve production capacity, functions and equipment utilization for RMT.</description><edition>English ed.</edition><identifier>ISSN: 1000-9345</identifier><identifier>EISSN: 2192-8258</identifier><identifier>DOI: 10.3901/CJME.2012.05.982</identifier><language>eng</language><publisher>Beijing: Chinese Mechanical Engineering Society</publisher><subject>Configuration management ; Configurations ; Crossovers ; Electrical Machines and Networks ; Electronics and Microelectronics ; Engineering ; Engineering Thermodynamics ; Genetic algorithms ; Heat and Mass Transfer ; Instrumentation ; Machine tools ; Machines ; Manufacturing ; Mechanical Engineering ; Operators ; Optimization ; Power Electronics ; Processes ; Production capacity ; Production costs ; Reconfiguration ; Theoretical and Applied Mechanics ; 区域管理 ; 协同优化 ; 可重构机床 ; 工艺方案设计 ; 工艺计划 ; 机床配置 ; 生产成本 ; 生产过程</subject><ispartof>Chinese journal of mechanical engineering, 2012-09, Vol.25 (5), p.982-989</ispartof><rights>Chinese Mechanical Engineering Society and Springer-Verlag Berlin Heidelberg 2012</rights><rights>Chinese Journal of Mechanical Engineering is a copyright of Springer, (2012). All Rights Reserved.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-3b5bba0968fae80bf457c5645db855ba7362e2a57fff98a20d52fc86203b249d3</citedby><cites>FETCH-LOGICAL-c373t-3b5bba0968fae80bf457c5645db855ba7362e2a57fff98a20d52fc86203b249d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85891X/85891X.jpg</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Xie, Nan</creatorcontrib><creatorcontrib>Li, Aiping</creatorcontrib><creatorcontrib>Xue, Wei</creatorcontrib><title>Cooperative Optimization of Reconfigurable Machine Tool Configurations and Production Process Plan</title><title>Chinese journal of mechanical engineering</title><addtitle>Chin. J. Mech. Eng</addtitle><addtitle>Chinese Journal of Mechanical Engineering</addtitle><description>The production process plan design and configurations of reconfigurable machine tool （RMT） interact with each other. Reasonable process plans with suitable configurations of RMT help to improve product quality and reduce production cost. Therefore, a cooperative strategy is needed to concurrently solve the above issue. In this paper, the cooperative optimization model for RMT configurations and production process plan is presented. Its objectives take into account both impacts of process and configuration. Moreover, a novel genetic algorithm is also developed to provide optimal or near-optimal solutions： firstly, its chromosome is redesigned which is composed of three parts, operations, process plan and configurations of RMTs, respectively; secondly, its new selection, crossover and mutation operators are also developed to deal with the process constraints from operation processes （OP） graph, otherwise these operators could generate illegal solutions violating the limits; eventually the optimal configurations for RMT under optimal process plan design can be obtained. At last, a manufacturing line case is applied which is composed of three RMTs. It is shown from the case that the optimal process plan and configurations of RMT are concurrently obtained, and the production cost decreases 6.28% and nonmonetary performance increases 22%. The proposed method can figure out both RMT configurations and production process, improve production capacity, functions and equipment utilization for RMT.</description><subject>Configuration management</subject><subject>Configurations</subject><subject>Crossovers</subject><subject>Electrical Machines and Networks</subject><subject>Electronics and Microelectronics</subject><subject>Engineering</subject><subject>Engineering Thermodynamics</subject><subject>Genetic algorithms</subject><subject>Heat and Mass Transfer</subject><subject>Instrumentation</subject><subject>Machine tools</subject><subject>Machines</subject><subject>Manufacturing</subject><subject>Mechanical Engineering</subject><subject>Operators</subject><subject>Optimization</subject><subject>Power Electronics</subject><subject>Processes</subject><subject>Production capacity</subject><subject>Production costs</subject><subject>Reconfiguration</subject><subject>Theoretical and Applied Mechanics</subject><subject>区域管理</subject><subject>协同优化</subject><subject>可重构机床</subject><subject>工艺方案设计</subject><subject>工艺计划</subject><subject>机床配置</subject><subject>生产成本</subject><subject>生产过程</subject><issn>1000-9345</issn><issn>2192-8258</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kEtPAyEUhYnRxFrdu8S4cjGVxzCFpZn4jEZj6poAA9NpKlRotfrrZayPnat7b_jOOeQAcIjRiAqET-ubu_MRQZiMEBsJTrbAgGBBCk4Y3wYDjBAqBC3ZLthLaZavCmM-ALoOYWGjWnavFt4vlt1z95GP4GFw8NGa4F3XrqLScwvvlJl23sJJCHNY_7z0cILKN_AhhmZlvsR5NTYl-DBXfh_sODVP9uB7DsHTxfmkvipu7y-v67PbwtAxXRZUM60VEhV3ynKkXcnGhlUlazRnTKsxrYglio2dc4IrghpGnOEVQVSTUjR0CE42vm_KO-VbOQur6HOinK1bs9bS9vUghrDI7PGGXcTwsrJp-QcTwkT-EMM8U2hDmRhSitbJReyeVXyXGMm-ddm3LntbiZjMrWcJ3khSRn1r45_xP5qj75hp8O1Llv3mlJRRUvGSfgIrgJCe</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Xie, Nan</creator><creator>Li, Aiping</creator><creator>Xue, Wei</creator><general>Chinese Mechanical Engineering Society</general><general>Springer Nature B.V</general><general>Sino-German College of Applied Science, Tongji University, Shanghai 201804, China%Institute of Advanced Manufacturing Technology, Tongji University, Shanghai 201804, China%College of Mechanical & Electrical Engineering, Wenzhou University, Wenzhou 325000, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20120901</creationdate><title>Cooperative Optimization of Reconfigurable Machine Tool Configurations and Production Process Plan</title><author>Xie, Nan ; 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J. Mech. Eng</stitle><addtitle>Chinese Journal of Mechanical Engineering</addtitle><date>2012-09-01</date><risdate>2012</risdate><volume>25</volume><issue>5</issue><spage>982</spage><epage>989</epage><pages>982-989</pages><issn>1000-9345</issn><eissn>2192-8258</eissn><abstract>The production process plan design and configurations of reconfigurable machine tool （RMT） interact with each other. Reasonable process plans with suitable configurations of RMT help to improve product quality and reduce production cost. Therefore, a cooperative strategy is needed to concurrently solve the above issue. In this paper, the cooperative optimization model for RMT configurations and production process plan is presented. Its objectives take into account both impacts of process and configuration. Moreover, a novel genetic algorithm is also developed to provide optimal or near-optimal solutions： firstly, its chromosome is redesigned which is composed of three parts, operations, process plan and configurations of RMTs, respectively; secondly, its new selection, crossover and mutation operators are also developed to deal with the process constraints from operation processes （OP） graph, otherwise these operators could generate illegal solutions violating the limits; eventually the optimal configurations for RMT under optimal process plan design can be obtained. At last, a manufacturing line case is applied which is composed of three RMTs. It is shown from the case that the optimal process plan and configurations of RMT are concurrently obtained, and the production cost decreases 6.28% and nonmonetary performance increases 22%. The proposed method can figure out both RMT configurations and production process, improve production capacity, functions and equipment utilization for RMT.</abstract><cop>Beijing</cop><pub>Chinese Mechanical Engineering Society</pub><doi>10.3901/CJME.2012.05.982</doi><tpages>8</tpages><edition>English ed.</edition><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1000-9345 |
| ispartof | Chinese journal of mechanical engineering, 2012-09, Vol.25 (5), p.982-989 |
| issn | 1000-9345 2192-8258 |
| language | eng |
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| source | EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Configuration management Configurations Crossovers Electrical Machines and Networks Electronics and Microelectronics Engineering Engineering Thermodynamics Genetic algorithms Heat and Mass Transfer Instrumentation Machine tools Machines Manufacturing Mechanical Engineering Operators Optimization Power Electronics Processes Production capacity Production costs Reconfiguration Theoretical and Applied Mechanics 区域管理 协同优化 可重构机床 工艺方案设计 工艺计划 机床配置 生产成本 生产过程 |
| title | Cooperative Optimization of Reconfigurable Machine Tool Configurations and Production Process Plan |
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