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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Main Authors: Meysam AlizadehSiyahkal, Keyvan Shahgholian
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2017-01-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Online Access:http://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdf
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spelling 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
collection 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.
topic Waste; Product Layout; Process Layout; Group Technology (cellular); Fuzzy Inference Systems
url http://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdf
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