A hybrid simulation optimization method for production planning of dedicated remanufacturing
This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. The paper first summarizes the special characteristics and problems of the dedicated remanufacturing. The paper then proposes a simulation model with a prior...
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| Veröffentlicht in: | International journal of production economics 2009-02, Vol.117 (2), p.286-301 |
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| container_title | International journal of production economics |
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| creator | Li, Jianzhi González, Miguel Zhu, Yun |
| description | This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. The paper first summarizes the special characteristics and problems of the dedicated remanufacturing. The paper then proposes a simulation model with a prioritized stochastic batch arrival mechanism, considering factors that affect the total profit. Based on the simulation model, the CEGA algorithm is developed to optimize the production planning and control policies for dedicated remanufacturing. A case study is provided based on the remanufacturing facility located at Austin, USA |
| doi_str_mv | 10.1016/j.ijpe.2008.11.005 |
| format | Article |
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A case study is provided based on the remanufacturing facility located at Austin, USA</description><subject>Fractional factorial design</subject><subject>Genetic algorithm</subject><subject>Genetic algorithms</subject><subject>Optimization techniques</subject><subject>Optimization with simulation</subject><subject>Production planning</subject><subject>Remanufacturing</subject><subject>Remanufacturing Optimization with simulation Genetic algorithm Fractional factorial design</subject><subject>Simulation</subject><subject>Stochastic models</subject><subject>Studies</subject><issn>0925-5273</issn><issn>1873-7579</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNp9UMFu1TAQtBBIPNr-AKeIe4I3bhJb4lJVUFArcYFbJcux1zxHL3FwnEqvX8-GoB45rHdtz8yOhrH3wCvg0H4cqjDMWNWcywqg4rx5xQ4gO1F2TadeswNXdVM2dSfesnfLMnDOO5DywB5viuO5T8EVSxjXk8khTkWccxjD834ZMR-jK3xMxZyiW-3f1_lkpilMv4roC4cuWJPRFQlHM63e2Lwm-rxkb7w5LXj1r1-wn18-_7j9Wj58v_t2e_NQ2qYWuex6idIotMa2dQtWgroGoxrle-hr03PhhO-4Ew1ZJkxrpO9k07feS0NEccE-7Lpk8PeKS9ZDXNNEKzUoqa6V4JJA9Q6yKS5LQq_nFEaTzhq43kLUg95C1FuIGkBTiES630kJZ7QvDESkVWijftLCAHR0nqmIqqiFbaSaty5bLTjoYx5J7dOuhhTGU8CkFxtwspRfQpu1i-F_Zv4A3x-WVQ</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Li, Jianzhi</creator><creator>González, Miguel</creator><creator>Zhu, Yun</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>20090201</creationdate><title>A hybrid simulation optimization method for production planning of dedicated remanufacturing</title><author>Li, Jianzhi ; González, Miguel ; Zhu, Yun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c523t-7b8e8a9ecac6261c81941a959fb1b2ab03d3f70d35188ac66a8f785b6ff8a8a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Fractional factorial design</topic><topic>Genetic algorithm</topic><topic>Genetic algorithms</topic><topic>Optimization techniques</topic><topic>Optimization with simulation</topic><topic>Production planning</topic><topic>Remanufacturing</topic><topic>Remanufacturing Optimization with simulation Genetic algorithm Fractional factorial design</topic><topic>Simulation</topic><topic>Stochastic models</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jianzhi</creatorcontrib><creatorcontrib>González, Miguel</creatorcontrib><creatorcontrib>Zhu, Yun</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>International journal of production economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jianzhi</au><au>González, Miguel</au><au>Zhu, Yun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A hybrid simulation optimization method for production planning of dedicated remanufacturing</atitle><jtitle>International journal of production economics</jtitle><date>2009-02-01</date><risdate>2009</risdate><volume>117</volume><issue>2</issue><spage>286</spage><epage>301</epage><pages>286-301</pages><issn>0925-5273</issn><eissn>1873-7579</eissn><coden>IJPCEY</coden><abstract>This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. 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| fulltext | fulltext |
| identifier | ISSN: 0925-5273 |
| ispartof | International journal of production economics, 2009-02, Vol.117 (2), p.286-301 |
| issn | 0925-5273 1873-7579 |
| language | eng |
| recordid | cdi_proquest_journals_198949308 |
| source | RePEc; Elsevier ScienceDirect Journals |
| subjects | Fractional factorial design Genetic algorithm Genetic algorithms Optimization techniques Optimization with simulation Production planning Remanufacturing Remanufacturing Optimization with simulation Genetic algorithm Fractional factorial design Simulation Stochastic models Studies |
| title | A hybrid simulation optimization method for production planning of dedicated remanufacturing |
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