A multi-product MPS optimization under risk


  • M. S. Al-Ashhab university of baghdad
  • Hassan Fadag
  • Shadi Mohammad Munshi






MPS, Genetic Algorithm, @ RiskOptimizer.


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.



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