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Fuzzy part family formation for cellular manufacturing systems

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dc.contributor.author Sangwan, Kuldip Singh
dc.date.accessioned 2023-08-28T09:56:44Z
dc.date.available 2023-08-28T09:56:44Z
dc.date.issued 2008-02
dc.identifier.uri https://www.tandfonline.com/doi/abs/10.1080/09537280410001697729
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11715
dc.description.abstract Most of the techniques related to part family formation require precise numerical data for part's features. However, in many situations, the parts features are too ill-defined and are too susceptible to analysis by traditional discrete methods. Fuzzy set theory allows the parts to belong to different groups with different memberships. Moreover, different attributes may not have equal importance. The AHP (analytical hierarchy process) model gives the weightage for different attributes and also checks the consistency of the judgements. This paper suggests two models for part family formation using fuzzy mathematics and the AHP model. One model is based on fuzzy logic and AHP and the second model uses fuzzy equivalence ratios and AHP. Models can be integrated with the existing coding systems used by organizations. Both models are validated using problems from literature. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Mechanical Engineering en_US
dc.subject GT en_US
dc.subject CMS en_US
dc.subject Part family en_US
dc.subject Fuzzy AHP en_US
dc.title Fuzzy part family formation for cellular manufacturing systems en_US
dc.type Article en_US


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