Improved algorithm for tolerance allocation based on Monte Carlo simulation and discrete optimization

@article{Wu2009ImprovedAF,
  title={Improved algorithm for tolerance allocation based on Monte Carlo simulation and discrete optimization},
  author={Fangcai Wu and Jean-Yves Dantan and Alain Etienne and Ali Siadat and Patrick Martin},
  journal={Comput. Ind. Eng.},
  year={2009},
  volume={56},
  pages={1402-1413}
}
  • Fangcai Wu, Jean-Yves Dantan, +2 authors Patrick Martin
  • Published 2009
  • Computer Science
  • Comput. Ind. Eng.
  • The allocation of design and manufacturing tolerances has a significant effect on both manufacturing cost and quality. This paper considers nonlinearly constrained tolerance allocation problems. The purpose is to minimize the ratio between the sum of the manufacturing costs (tolerances costs) and the risk (probability of the respect of geometrical requirements). The techniques of Monte Carlo simulation and genetic algorithm are adopted to solve these problems. As the simplest and the popular… CONTINUE READING

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    OPTIMAL TOLERANCE DESIGN BY RESPONSE SURFACE METHODOLOGY

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