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First, to ensure that potential estimation errors do not bias the optimization results of the basic scenario, we determined the optimal process variant profiles for different parameter constellations.
In order to search for the optimal process response, the Grey relational analysis is employed for solving the optimization problem.
In another more recent study [18], optimization of process parameters using RSM and GA was proposed to generate the optimal process parameter settings of multiple-quality characteristics.
A program is made to realize the optimal process.
Thus, the optimal process is profitable, efficient and sustainable.
The optimal process variant profile using process variant 3 as the master process is complete standardization.
In this case, the optimal process variant profile is the status quo that reflects complete individuality.
As for efficiency, the prototype uses exhaustive enumeration to determine the optimal process variant profile.
Finally, an experimental design was performed to determine the optimal process conditions for BTX yields.
Configurations of each operating unit as well as the optimal process conditions were obtained.
The optimal process design is determined in terms of the minimization of total annual cost.
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