Application of MCDM Methods for Process Parameter Optimization in Turning Process—A Review

Abstract

Optimization of process parameters in machining process leads to enhancement in process outcomes. Turning process is one of the primary operations in manufacturing industries. Multi-Criteria Decision Making (MCDM) concepts are used by researchers to optimize the process parameters in turning process. These MCDM methods are used to rank and find out the best combination of process parameters from given number of alternatives. In this study, a detailed literature survey is carried out in the area of application of different MCDM methods which are used for optimization of turning process parameters. There are different MCDM methods are available, but in this work only focused application related to manufacturing domain and methods are reviewed namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR), Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method, and Analytic Hierarchy Process (AHP) method. The result of review work indicates that the above-mentioned MCDM methods are capable of solving multiple criteria problems for turning process parameter optimization.