An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems
Cellular manufacturing (CM) is a production approach directed towards reducing costs, as well as increasing system's flexibility in today's small-to-medium lot production environment. Many structural and operational issues should be considered for a successful CM design and implementation...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/487694 |
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| author | Reza Raminfar Norzima Zulkifli Mohammadreza Vasili Tang Sai Hong |
| author_facet | Reza Raminfar Norzima Zulkifli Mohammadreza Vasili Tang Sai Hong |
| author_sort | Reza Raminfar |
| collection | DOAJ |
| description | Cellular manufacturing (CM) is a production approach directed towards reducing costs, as well as increasing system's flexibility in today's small-to-medium lot production environment. Many structural and operational issues should be considered for a successful CM design and implementation such as cell formation (CF), production planning, and facility layout. Most researchers have addressed these issues sequentially or independently, instead of jointly optimizing a combination of these issues. In order to attain better results to ensure that the system will be capable of remaining efficient in unknown future situations, these issues should be addressed simultaneously. In this paper, a mathematical model is developed using an integrated approach for production planning and cell formation problems in a CM. A set of numerical examples are provided from existing the literature in order to test and illustrate the proposed model. In order to evaluate and verify the performance of the proposed model, it is compared with a well-known cell formation methods (rank order clustering and direct clustering analysis), using group capability index (GCI) measure. The results and comparisons indicate that the proposed model has a significantly higher and satisfactory performance and it is reliable for the design and the analysis of CM systems. |
| format | Article |
| id | doaj-art-920c606f95954da68bedd9b3e3279988 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-920c606f95954da68bedd9b3e32799882025-02-03T01:04:53ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/487694487694An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing SystemsReza Raminfar0Norzima Zulkifli1Mohammadreza Vasili2Tang Sai Hong3Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Selangor, Selangor Darul Ehsan, MalaysiaDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Selangor, Selangor Darul Ehsan, MalaysiaDepartment of Industrial Engineering, Islamic Azad University, Lenjan Branch, isfahan, IranDepartment of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Selangor, Selangor Darul Ehsan, MalaysiaCellular manufacturing (CM) is a production approach directed towards reducing costs, as well as increasing system's flexibility in today's small-to-medium lot production environment. Many structural and operational issues should be considered for a successful CM design and implementation such as cell formation (CF), production planning, and facility layout. Most researchers have addressed these issues sequentially or independently, instead of jointly optimizing a combination of these issues. In order to attain better results to ensure that the system will be capable of remaining efficient in unknown future situations, these issues should be addressed simultaneously. In this paper, a mathematical model is developed using an integrated approach for production planning and cell formation problems in a CM. A set of numerical examples are provided from existing the literature in order to test and illustrate the proposed model. In order to evaluate and verify the performance of the proposed model, it is compared with a well-known cell formation methods (rank order clustering and direct clustering analysis), using group capability index (GCI) measure. The results and comparisons indicate that the proposed model has a significantly higher and satisfactory performance and it is reliable for the design and the analysis of CM systems.http://dx.doi.org/10.1155/2013/487694 |
| spellingShingle | Reza Raminfar Norzima Zulkifli Mohammadreza Vasili Tang Sai Hong An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems Journal of Applied Mathematics |
| title | An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems |
| title_full | An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems |
| title_fullStr | An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems |
| title_full_unstemmed | An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems |
| title_short | An Integrated Model for Production Planning and Cell Formation in Cellular Manufacturing Systems |
| title_sort | integrated model for production planning and cell formation in cellular manufacturing systems |
| url | http://dx.doi.org/10.1155/2013/487694 |
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