Two parameter tuned multi-objective evolutionary algorithms for a bi-objective vendor managed inventory model with trapezoidal fuzzy demand
We present a bi-objective inventory model for a supply chain problem. We consider trapezoidal fuzzy demand and two constraints in the modeling. We employ MOEA to optimize a bi-objective integer nonlinear programming problem. The parameters of metaheuristics are tuned by the Taguchi method.
parameter tuning vendor managed inventory trapezoidal fuzzy demand taguchi method nsga-ii nrga