Application of PROMETHEE-GAIA method for non-traditional machining processes selection

Abstract

With ever increasing demand for manufactured products of hard alloys and metals with high surface finish and complex shape geometry, more interest is now being paid to non-traditional machining (NTM) processes, where energy in its direct form is used to remove material from workpiece surface. Compared to conventional machining processes, NTM processes possess almost unlimited capabilities and there is a strong believe that use of NTM processes would go on increasing in diverse range of applications. Presence of a large number of NTM processes along with complex characteristics and capabilities, and lack of experts in NTM process selection domain compel for development of a structured approach for NTM process selection for a given machining application. Past researchers have already attempted to solve NTM process selection problems using various complex mathematical approaches which often require a profound knowledge in mathematics/artificial intelligence from the part of process engineers. In this paper, four NTM process selection problems are solved using an integrated PROMETHEE (preference ranking organization method for enrichment evaluation) and GAIA (geometrical analysis for interactive aid) method which would act as a visual decision aid to the process engineers. The observed results are quite satisfactory and exactly match with the expected solutions.

A Novel Hybrid Method for Non-Traditional Machining Process Selection Using Factor Relationship and Multi-Attributive Border Approximation Method

“…Temuçin et al [15] provided some methodical approaches and a decision support model in fuzzy and crisp situations to deal with NTMP selection problems. Karande and Chakraborty [16] applied an integrated preference ranking organization method for enrichment evaluation (PROMETHEE) as well as a geometrical analysis for an interactive aid (GAIA) method for solving NTMP selection problems. The suggested approach would act as a visual decision support to the process engineers.…”

Evaluation of Combating Desertification Alternatives Using Promethee Model

“…Selection of an appropriate transportation system in an underground mine, (Elevli and Demirci, 2004), Selection of suitable alternatives for optimal utilization of energy (Shirsikar and Patil, 2005), Assessment of famous alternatives in production of energy (Diakoulaki and Karangelis, 2007), The choice of appropriate alternatives for profitable investment in stock market (Albadavi, et al, 2007), Assessment of suitable location for a recycling factory (Queiruga, et al, 2008), Evaluation of potential of alternatives for a construction company (Ginevicius et al, 2010), Choosing a suitable system to dry material (Prvulovic et al, 2011), Selection of appropriate alternatives for profitable investment in stock market (Chen et al, 2011), Selection of suitable alternatives in designing rescuer robots (Taillandier and Stinckwich, 2011), Selection of raw materials supplier (Safari et al, 2012), Selection of a suitable way for machining (Karandea and Chakraborty, 2012) and Choosing the best alternatives for determining the location of storage (Fontana and Cavalcante, 2014) are samples of these researches.…”

Application of fuzzy axiomatic design principles for selection of non-traditional machining processes

“…Based on analytic network process (ANP), Das and Chakraborty [14] developed a software prototype to automate the entire NTMP selection procedure. An integrated preference ranking organization method for enrichment evaluation (PROMETHEE) and geometrical analysis for interactive aid (GAIA) method were adopted by Karande and Chakraborty [15] for NTMP selection. While applying TOPSIS and fuzzy TOPSIS methods, Temuçin et al [16] identified that AWJ machining was the most appropriate choice followed by WJM and LBM processes for machining AISI 309 stainless steel material.…”