http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf
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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Allameh Tabataba'i University Press
2017-01-01
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Online Access: | http://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdf |
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doaj-a1e5d672e52147cb9b6984fe653f53c92020-11-24T20:52:10ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292017-01-01144316318810.22054/JIMS.2017.7034http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdfMeysam AlizadehSiyahkalKeyvan ShahgholianOne 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. http://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdfWaste; Product Layout; Process Layout; Group Technology (cellular); Fuzzy Inference Systems |
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DOAJ |
language |
fas |
format |
Article |
sources |
DOAJ |
author |
Meysam AlizadehSiyahkal Keyvan Shahgholian |
spellingShingle |
Meysam AlizadehSiyahkal Keyvan Shahgholian http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī Waste; Product Layout; Process Layout; Group Technology (cellular); Fuzzy Inference Systems |
author_facet |
Meysam AlizadehSiyahkal Keyvan Shahgholian |
author_sort |
Meysam AlizadehSiyahkal |
title |
http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf |
title_short |
http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf |
title_full |
http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf |
title_fullStr |
http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf |
title_full_unstemmed |
http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf |
title_sort |
http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf |
publisher |
Allameh Tabataba'i University Press |
series |
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
issn |
2251-8029 |
publishDate |
2017-01-01 |
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.
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topic |
Waste; Product Layout; Process Layout; Group Technology (cellular); Fuzzy Inference Systems |
url |
http://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdf |
work_keys_str_mv |
AT meysamalizadehsiyahkal httpjimsatuacirarticle7033e22b2cad9926cb59492fdf3db999687cpdf AT keyvanshahgholian httpjimsatuacirarticle7033e22b2cad9926cb59492fdf3db999687cpdf |
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