  The aim of this literature is to illustrate the application of
multi-objective optimization routines through a case study of face milling
operation. For this purpose, the face milling operation is designed as a
multi-objective optimization problem and then solved to obtain optimum values
for the machining parameters - cutting speed (Vc), feed rate (fz) and depth of
cut (t) using the optimization routines. The formulated problem of face milling
operation includes two conflicting objectives - to maximize Material Removal
Rate (MRR) and to minimize surface roughness (Ra). Among various
multi-objective optimization routines, five of them namely Global Criterion
Method, Lexicographic Method, Weighted Sum Method, Epsilon Constraint Method
and Genetic Algorithm are used in this literature. The outcomes of these
multi-objective optimization routines are then compared to reflect their
relative attractiveness.
