Abstract
Selection of the most suitable nonconventional machining process (NCMP) for a given machining application can be viewed as multi-criteria decision making (MCDM) problem with many conflicting and diverse criteria. To aid these selection processes, different MCDM methods have been proposed. This paper introduces the use of an almost unexplored MCDM method, i.e. operational competitiveness ratings analysis (OCRA) method for solving the NCMP selection problems. Applicability, suitability and computational procedure of OCRA method have been demonstrated while solving three case studies dealing with selection of the most suitable NCMP. In each case study the obtained rankings were compared with those derived by the past researchers using different MCDM methods. The results obtained using the OCRA method have good correlation with those derived by the past researchers which validate the usefulness of this method while solving complex NCMP selection problems.
Highlights
In recent years there has been an increase of development and application of difficultto-machine materials such as titanium, stainless steel, high-strength temperatureresistant alloys, ceramics, composites, super alloys, etc (Samanta & Chakraborty, 2011)
The main advantage of the operational competitiveness ratings analysis (OCRA) method is that it can deal with those multi-criteria decision making (MCDM) situations when the relative weights of the criteria are dependent on the alternatives and different weight distributions are assigned to the criteria for different alternatives, as well as some of the criteria are not applicable to all the alternatives (Chatterjee & Chakraborty, 2012). This method has the advantage of treating beneficial and non-beneficial criteria separately, which helps the decision makers not to lose information during the decision-making process. Another major advantage of the OCRA method is that it is a nonparametric approach i.e. calculation procedure is not affected by the introduction of any additional parameters (e.g., v in VIKOR method and λ in WASPAS method) as it happens in case of other MCDM methods
This paper introduces the OCRA method approach, which helps the process engineers in selecting the most suitable nonconventional machining process (NCMP) from a large number of competitive alternatives
Summary
In recent years there has been an increase of development and application of difficultto-machine materials such as titanium, stainless steel, high-strength temperatureresistant alloys, ceramics, composites, super alloys, etc (Samanta & Chakraborty, 2011) These materials have wide use in modern industry due to their improved technological and mechanical properties. For a given machining application, the selection of the most suitable NCMP requires comprehensive analysis of machining capabilities and characteristics of competitive NCMPs which involves consideration of several conflicting criteria such as maximization of quality, maximization of material removal rate, minimization of cost, etc. In order to facilitate decision making process and provide decision makers with a structured, step-by-step procedure for NCMPs selection, various multi-criteria decision making (MCDM) methods have been proposed in literature. Given the evaluation (decision) matrix, decision maker applies certain MCDM method in order to define the evaluation function and obtain a rank order of the alternatives and/or define the utility function and obtain a utility score of the alternatives (Hajkowicz & Higgins, 2008)
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