Minimizing The Cost of an Integrated Model with Nonparametric Multivariate Approach to Process Control and Maintenance Using Genetic Algorithm
This paper is aimed to find the optimal values of four variables n 1 , n 2 , h 1 , h 2 that minimize and the economic design
cost model based on Chen . The mathematical model is used to analyze the cost of the integrated model before the genetic
algorithms (GA) approach is operated out in order to calculate the optimal values of four variables n 1 , n 2 , h 1 , h 2 that minimize
the hourly cost. Finally, they are subjected to the nonparametric linear regression test in order to verify the optimal values of
four variables. A comparison between four policies of integrated model NMKST and VP MEWMA models indicates that the
integrated NMKST model has a better economic behavior when it is distribution-free or unknown distribution.
Index Terms- Integrated Model, Nonparametric Multivariate, Genetic Algorithms.