Solving FMS Assignment Problem with Grouping Genetic Algorithm
Operations assignment to feasible and suitable machine-tool combination affects the total production costs and selecting the best combinations is important for these systems, this is one of the significant problems in flexible manufacturing systems (FMSs). In this paper, minimizing the machining cos...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2012-12-01
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| Series: | International Journal of Research in Industrial Engineering |
| Subjects: | |
| Online Access: | http://www.riejournal.com/article_47902_76259690ac6c89461cbdc9b6b2200e52.pdf |
| _version_ | 1819034055356710912 |
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| author | M.H.M.A. Jahromi R. Jafari A. Shamsi |
| author_facet | M.H.M.A. Jahromi R. Jafari A. Shamsi |
| author_sort | M.H.M.A. Jahromi |
| collection | DOAJ |
| description | Operations assignment to feasible and suitable machine-tool combination affects the total production costs and selecting the best combinations is important for these systems, this is one of the significant problems in flexible manufacturing systems (FMSs). In this paper, minimizing the machining cost, setup cost and material handling cost for the given multi-objective problem is considered. Also, this problem is solved with a grouping genetic algorithm and the associated results are presented. |
| first_indexed | 2024-12-21T07:27:39Z |
| format | Article |
| id | doaj.art-af6ae820d3694b0d9b4865000c199bd4 |
| institution | Directory Open Access Journal |
| issn | 2783-1337 2717-2937 |
| language | English |
| last_indexed | 2024-12-21T07:27:39Z |
| publishDate | 2012-12-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | International Journal of Research in Industrial Engineering |
| spelling | doaj.art-af6ae820d3694b0d9b4865000c199bd42022-12-21T19:11:39ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372012-12-0113606847902Solving FMS Assignment Problem with Grouping Genetic AlgorithmM.H.M.A. Jahromi0R. Jafari1A. Shamsi2Departement of Industrial Engineering, Khomein Branch, Islamic Azad University, Khomein, Iran.Departement of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran.Departement of Industrial Engineering, Khomein Branch, Islamic Azad University, Khomein, Iran.Operations assignment to feasible and suitable machine-tool combination affects the total production costs and selecting the best combinations is important for these systems, this is one of the significant problems in flexible manufacturing systems (FMSs). In this paper, minimizing the machining cost, setup cost and material handling cost for the given multi-objective problem is considered. Also, this problem is solved with a grouping genetic algorithm and the associated results are presented.http://www.riejournal.com/article_47902_76259690ac6c89461cbdc9b6b2200e52.pdfflexible manufacturing systemsmachine-tool selectionmulti-objective optimizationgrouping genetic algorithm (gga) |
| spellingShingle | M.H.M.A. Jahromi R. Jafari A. Shamsi Solving FMS Assignment Problem with Grouping Genetic Algorithm International Journal of Research in Industrial Engineering flexible manufacturing systems machine-tool selection multi-objective optimization grouping genetic algorithm (gga) |
| title | Solving FMS Assignment Problem with Grouping Genetic Algorithm |
| title_full | Solving FMS Assignment Problem with Grouping Genetic Algorithm |
| title_fullStr | Solving FMS Assignment Problem with Grouping Genetic Algorithm |
| title_full_unstemmed | Solving FMS Assignment Problem with Grouping Genetic Algorithm |
| title_short | Solving FMS Assignment Problem with Grouping Genetic Algorithm |
| title_sort | solving fms assignment problem with grouping genetic algorithm |
| topic | flexible manufacturing systems machine-tool selection multi-objective optimization grouping genetic algorithm (gga) |
| url | http://www.riejournal.com/article_47902_76259690ac6c89461cbdc9b6b2200e52.pdf |
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