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A Fuzzy Set Based Setup Planning Methodology

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Setup Planning for Machining

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSMANUFACT))

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Abstract

In this chapter application of fuzzy set theory to setup planning is described. Fuzzy set theory can deal with the uncertainty and imprecision. At actual shop floor, one faces the problem of uncertainty, imprecision and subjectiveness. Fuzzy set theory can circumvent this problem to some extent. Two examples have been illustrated to show the efficacy of fuzzy set theory, one concerning with feature precedence relation and other with datum selection. A practical strategy for adaptively controlling the setup plan is also suggested.

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References

  1. Giarratano JC, Riley G (1998) Expert systems: principles and programming. PWS Publishers Co., Boston

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  2. Hazarika M, Deb S, Dixit US, Davim JP (2011) A fuzzy set based setup planning system with ability for online learning. Proc IMechE Part B J Eng Manuf 225:247–263

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Acknowledgements

Significant part of this chapter has been taken from Hazarika et al. [2]. We are thankful to Sage Publishers for allowing us to retain the copyright of the article.

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Correspondence to Uday Shanker Dixit .

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Hazarika, M., Dixit, U.S. (2015). A Fuzzy Set Based Setup Planning Methodology. In: Setup Planning for Machining. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-13320-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-13320-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13319-5

  • Online ISBN: 978-3-319-13320-1

  • eBook Packages: EngineeringEngineering (R0)

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