A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production Flow
One of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper a...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2016-12-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdf |
| _version_ | 1797367702088581120 |
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| author | Keyvan Shahgholian Meysam AlizadehSiyahkal |
| author_facet | Keyvan Shahgholian Meysam AlizadehSiyahkal |
| author_sort | Keyvan Shahgholian |
| collection | DOAJ |
| description | One of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper aims to provide a model to aid industry managers’ decision-making process for choosing the most appropriate production flow layout pattern with respect to the amount of waste in production units. This model considers inventory level, transport, lead time and product quality. To evaluate and choosing layouts based on the forgoing criteria, a fuzzy inference system was employed. The system input is rating of each layout of production flow for each criterion, which was obtained by ANP method, and its output is the amount of waste of each layout for production flow. In order to simulate the proposed fuzzy inference system, Matlab software was utilized. Finally, product layout with a quantitative difference compared to group technology (cellular) layout, took up the least amount of waste and was considered as the most suitable of lean production flow layout for the case firm. |
| first_indexed | 2024-03-08T17:21:59Z |
| format | Article |
| id | doaj.art-a1e5d672e52147cb9b6984fe653f53c9 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:21:59Z |
| publishDate | 2016-12-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-a1e5d672e52147cb9b6984fe653f53c92024-01-03T04:44:39ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2016-12-01144316318810.22054/jims.2017.70347034A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production FlowKeyvan Shahgholian0Meysam AlizadehSiyahkal1استادیار، دانشگاه آزاد اسلامی، واحد قزوین، گروه مدیریت، قزویندانشجوی کارشناسی ارشد، دانشگاه آزاد اسلامی، واحد قزوین، گروه مهندسی صنایOne of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper aims to provide a model to aid industry managers’ decision-making process for choosing the most appropriate production flow layout pattern with respect to the amount of waste in production units. This model considers inventory level, transport, lead time and product quality. To evaluate and choosing layouts based on the forgoing criteria, a fuzzy inference system was employed. The system input is rating of each layout of production flow for each criterion, which was obtained by ANP method, and its output is the amount of waste of each layout for production flow. In order to simulate the proposed fuzzy inference system, Matlab software was utilized. Finally, product layout with a quantitative difference compared to group technology (cellular) layout, took up the least amount of waste and was considered as the most suitable of lean production flow layout for the case firm.https://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdfwasteproduct layoutprocess layoutgroup technology (cellular)fuzzy inference systems |
| spellingShingle | Keyvan Shahgholian Meysam AlizadehSiyahkal A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production Flow Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī waste product layout process layout group technology (cellular) fuzzy inference systems |
| title | A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production Flow |
| title_full | A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production Flow |
| title_fullStr | A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production Flow |
| title_full_unstemmed | A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production Flow |
| title_short | A Fuzzy Decision Support System for Selection the Most Appropriate Layout for Lean Production Flow |
| title_sort | fuzzy decision support system for selection the most appropriate layout for lean production flow |
| topic | waste product layout process layout group technology (cellular) fuzzy inference systems |
| url | https://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdf |
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