Optimal selection for machining processes using the psi-r-piv method

Abstract

Machining processes are crucial in the production of various products across different industries. The accuracy, lifespan, and cost of these products significantly depend on the machining processes. This research introduces a novel method for selecting the optimal solution for machining processes. The proposed method, named PSI-R-PIV, is a hybrid of three methods preference selection index (PSI), ranking of the attributes and alternatives (R), and proximity indexed value (PIV). PSI, R, and PIV are all techniques used to rank options to determine the best among the available choices. Moreover, PSI and R have an additional function of calculating weights for the criteria. Therefore, using PSI-R-PIV to rank options for each machining process results in four sets of rankings: one by PSI, one by R, and two by PIV. In the PIV method, the weights for the criteria are calculated using the PSI and R methods. The ranking method using PIV with weights calculated by the PSI and R methods is named the PSI-PIV and R-PIV methods respectively. The four methods in the PSI-R-PIV combination include PSI, R, PSI-PIV, and R-PIV, and have been utilized to rank options in various machining processes. The results indicate that the PSI-PIV method offers high accuracy and is recommended for selecting the best option among the available choices in machining processes.