MULTI-CRITERIA DECISION MAKING IN THE POWDER-MIXED ELECTRICAL DISCHARGE MACHINING PROCESS BASED ON THE COCOSO, SPOTIS ALGORITHMS AND THE WEIGHTING METHODS

Abstract

Multi-criteria decision-making (MCDM) is well known as one of the most important solutions that seeks to identify the best alternative among several options. It has a significant effect on the effectiveness of many technical disciplines within the industrial field, especially electrical discharge machining. This paper presents the findings of a multi-criteria decision-making study involving the powder-mixed electrical discharge milling (PMEDM) of cylindrically shaped tool steel 90CrSi components. As performance measures for the PMEDM process, the material removal rate (MRS) and surface roughness (SR) are selected. Three different techniques (CRITIC, MEREC, and IDOCRIW) are applied in sequence to determine the weight value of the quality indicators. The key MCDM methods used for ranking the alternatives are the Combined Compromise Solution (COCOSO) method and the Stable Preference Ordering Towards Ideal Solution (SPOTIS). The experimental study indicates the ranking tables under different scenarios and proposes the best alternative for the PMEDM procedure.