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Optimal allocation of statistical tolerance indices by genetic algorithms

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Abstract

Recently, process capabilities for machining and measurement in manufacturing industries have been increasing in response to customer demand for improved product performance, and these requirements will continue to grow as technology advances. To satisfy this consumer demand, we have studied a tolerance method using statistical tolerance indices to specify the limitation of process capability indices. In this paper, we propose a method of allocating statistical tolerance indices using genetic algorithms. The proposed method is applied to a product model comprising five parts, assembled in linear combination, to confirm its effectiveness.

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References

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Authors and Affiliations

  1. 1-1-1 Daigaku-Dori, Sanyo-Onoda, Yamaguchi, 756-0884, Japan

    A. Otsuka & F. Nagata

Authors
  1. A. Otsuka
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  2. F. Nagata
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Corresponding author

Correspondence to A. Otsuka.

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Cite this article

Otsuka, A., Nagata, F. Optimal allocation of statistical tolerance indices by genetic algorithms. Artif Life Robotics 19, 227–232 (2014). https://doi.org/10.1007/s10015-014-0157-x

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  • DOI: https://doi.org/10.1007/s10015-014-0157-x

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