A new mathematical model for cellular manufacturing system with productivity consideration
In today’s environment of escalating competition, companies are adapting their management and production strategies, and product diversity is rapidly increasing. Companies require cellular manufacturing systems to produce products with high diversity in a short amount of time, ensuring the desi...
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| Format: | Article |
| Language: | English |
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Growing Science
2025-01-01
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| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol14/dsl_2025_1.pdf |
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| author | Hatice Ediz Atmaca Hatice Erdogan Akbulut Esra Aktas |
| author_facet | Hatice Ediz Atmaca Hatice Erdogan Akbulut Esra Aktas |
| author_sort | Hatice Ediz Atmaca |
| collection | DOAJ |
| description |
In today’s environment of escalating competition, companies are adapting their management and production strategies, and product diversity is rapidly increasing. Companies require cellular manufacturing systems to produce products with high diversity in a short amount of time, ensuring the desired quality and meeting customer expectations. Cellular manufacturing systems, which have a more flexible structure compared to traditional production systems, are a good and effective solution for managers. Cellular manufacturing is an approach that aims to produce products with varying diversity in the shortest possible time and at the lowest cost, targeting an increase in efficiency. In this study, a cell manufacturing system proposal is made and cell formation is carried out to increase efficiency and effectiveness in a company that manufactures industrial refrigeration cabinets. A productivity-based 0-1 integer mathematical programming model is prepared that facilitates the simultaneous grouping of part and machine families in cell formation. In addition to the intracellular and intercellular transportation costs found in productivity-based models in the literature, labor costs, maintenance costs, the depreciation costs of the machines used in the cells, and the waiting costs of the machines are also added to the prepared model. The model is solved with the help of the GAMS 23.5.1 software package, creating part families and machine groups. Group efficiency values are measured, and the current and proposed situations are compared. |
| format | Article |
| id | doaj-art-94eae197b4074f66b6edd4880d0c0b82 |
| institution | DOAJ |
| issn | 1929-5804 1929-5812 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Decision Science Letters |
| spelling | doaj-art-94eae197b4074f66b6edd4880d0c0b822025-08-20T03:05:42ZengGrowing ScienceDecision Science Letters1929-58041929-58122025-01-0114237539210.5267/j.dsl.2025.1.001A new mathematical model for cellular manufacturing system with productivity considerationHatice Ediz AtmacaHatice Erdogan AkbulutEsra Aktas In today’s environment of escalating competition, companies are adapting their management and production strategies, and product diversity is rapidly increasing. Companies require cellular manufacturing systems to produce products with high diversity in a short amount of time, ensuring the desired quality and meeting customer expectations. Cellular manufacturing systems, which have a more flexible structure compared to traditional production systems, are a good and effective solution for managers. Cellular manufacturing is an approach that aims to produce products with varying diversity in the shortest possible time and at the lowest cost, targeting an increase in efficiency. In this study, a cell manufacturing system proposal is made and cell formation is carried out to increase efficiency and effectiveness in a company that manufactures industrial refrigeration cabinets. A productivity-based 0-1 integer mathematical programming model is prepared that facilitates the simultaneous grouping of part and machine families in cell formation. In addition to the intracellular and intercellular transportation costs found in productivity-based models in the literature, labor costs, maintenance costs, the depreciation costs of the machines used in the cells, and the waiting costs of the machines are also added to the prepared model. The model is solved with the help of the GAMS 23.5.1 software package, creating part families and machine groups. Group efficiency values are measured, and the current and proposed situations are compared.http://www.growingscience.com/dsl/Vol14/dsl_2025_1.pdf |
| spellingShingle | Hatice Ediz Atmaca Hatice Erdogan Akbulut Esra Aktas A new mathematical model for cellular manufacturing system with productivity consideration Decision Science Letters |
| title | A new mathematical model for cellular manufacturing system with productivity consideration |
| title_full | A new mathematical model for cellular manufacturing system with productivity consideration |
| title_fullStr | A new mathematical model for cellular manufacturing system with productivity consideration |
| title_full_unstemmed | A new mathematical model for cellular manufacturing system with productivity consideration |
| title_short | A new mathematical model for cellular manufacturing system with productivity consideration |
| title_sort | new mathematical model for cellular manufacturing system with productivity consideration |
| url | http://www.growingscience.com/dsl/Vol14/dsl_2025_1.pdf |
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