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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Bibliographic Details
Main Authors: Keyvan Shahgholian, Meysam AlizadehSiyahkal
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2016-12-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Online Access:https://jims.atu.ac.ir/article_7034_daf8624f4684114f67789f5711986f63.pdf
Description
Summary: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.
ISSN:2251-8029
2476-602X