A multi-product MPS optimization under risk

  • Authors

    • M. S. Al-Ashhab university of baghdad
    • Hassan Fadag
    • Shadi Mohammad Munshi
    2019-09-04
    https://doi.org/10.14419/ijet.v8i3.29164
  • 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.

     

  • References

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      [7] M. S. Al-Ashhab, T. Attia, and S. M. Munshi, "Multi-Objective Production Planning Using Lexicographic Procedure," American Journal of Operations Research, vol. 7, p. 174, 2017. https://doi.org/10.4236/ajor.2017.73012.

      [8] M. S. Al-Ashhab, S. Azam, S. Munshi, and T. M. Abdolkader, "A MultiPeriod MPS Optimization Using Linear Programming and Genetic Algorithm with Capacity Constraint.," IOSR Journal of Engineering (IOSRJEN), vol. 08, p. 8, 2018.

      [9] M. S. Al-Ashhab and H. Fadag, "Multi-Product Master Production Scheduling Optimization Modelling Using Mixed Integer Linear Programming And Genetic Algorithms.," International Journal of Research - Granthaalayah, vol. 6, p. 5, 2018.

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  • How to Cite

    S. Al-Ashhab, M., Fadag, H., & Mohammad Munshi, S. (2019). A multi-product MPS optimization under risk. International Journal of Engineering & Technology, 8(3), 315-323. https://doi.org/10.14419/ijet.v8i3.29164