A multi-product MPS optimization under risk

  • Abstract
  • Keywords
  • References
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  • Abstract

    In this work, an MPS optimization model is developed to maximize the expected profit using GA under demand uncertainty. The model is built for @RiskOptimizer in MS Excel. The customer demands have been assumed to follow the normal distribution of a standard deviation related to their mean values with a ratio called demand variability. The effects of demand variability on the profit mean, profit variation and the processing time have been studied.


  • Keywords

    MPS; Genetic Algorithm; @ RiskOptimizer.

  • References

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Article ID: 29164
DOI: 10.14419/ijet.v8i3.29164

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