Pareto–Edgeworth–Grierson (PEG), Preference Selection Index (PSI) and CURLI method in multi criteria decision making for turning process parameters optimization

ABSTRACT In almost all machining processes there are several constraints associated and the objective functions are in conflict with the another objective function. In these situations, where equal importance is to be given to all constraints, multi criteria decision making is involved to determine the best optimal solution taking into consideration of all the objective functions in the turning process of AISI4140 steel. In this paper, PEG, PSI and CURLI method are employed. The PEG provides effective discrimination among the alternatives and ranking of alternatives is done effectively without any transition. PSI method is used in identifying the suitable alternatives without assigning the subjective weight assignment. In CURLI method, pairwise scoring matrix is obtained by computing the pairwise absolute difference between the values of the each alternative. Gini index is used in this work to quantify the level of disagreement among the PEG, PSI and CURLI ranking results for each alternative. In this work, PEG and CURLI approaches for MCDM for turning process parameters for AISI 4140 steel, the experimental run ‘#A14’ achieved the highest utility value and minimum radial deviation from the ideal solution, resulting combined acceptance of superior productivity in achieving minimum surface roughness and maximum MRR.