Application of the ROV method for the selection of cutting fluids

Abstract

Production engineers are frequently faced with the multi-criteria selection problems in the manufacturing environment. Over the years, many multi-criteria decision making (MCDM) methods have been proposed to help decision makers in solving different complex selection problems. This paper introduces the use of an almost unexplored MCDM method, i.e. range of value (ROV) method for solving cutting fluid selection problems. The main motivation of using the ROV method is that it offers a very simple computational procedure compared to other MCDM methods. Applicability and effectiveness of the ROV method have been demonstrated while solving four case studies dealing with selection of the most suitable cutting fluid for the given machining application. In each case study the obtained complete rankings were compared with those derived by the past researchers using different MCDM methods. The results obtained using the ROV method have excellent correlation with those derived by the past researchers which validate the usefulness and effectiveness of this simple MCDM method for solving cutting fluid selection problems.

Selecting the Best Normalization Technique for ROV Method: Towards a Real Life Application

“…The "Range of Value" (ROV) method was introduced by [18]. The ROV method offers the decision maker a fairly simple calculation procedure compared to other MCDM methods [19]. The processing steps of the ROV method are as follows [20].…”

Assessing industrialized countries’ environmental sustainability performances using an integrated multi-criteria model and software

“…REF-I was used in the second-hand vehicle selection problem (Aytekin & Durucasu, 2021 ), and REF-II was used in the performance evaluation of food companies (Aytekin, 2021a ). Among the problems to which the ROV method is applied are cutting fluids selection (Madić et al, 2016 ), green supplier selection in the textile industry (Karamaşa et al, 2021 ), and measuring the success of countries in the COVID-19 pandemic (Türkoğlu & Tuzcu, 2021 ).…”

Ti-containing High-Entropy Alloys for Aeroengine Turbine Applications

“…The objective attribute weights were evaluated by Shannon's entropy method 42 ; on the other hand, equal weights (1/3) were assigned to each of the attributes (ρ, 0.2% YS-RT, and 0.2% YS-800°C) for subjective weights. The ten MADM methods identified for the investigation are as follows: Simple additive weighting (SAW) 33,34,43,44 , Simple multi-attribute rating technique (SMART) 33,45,46 , Multiplicative exponent weighting (MEW) 33,41,47 , Technique of order preference by similarity to ideal solutions (TOPSIS) 33,41,48,49 , Weighted Euclidean distance-based approach (WEDBA) 34,50,51 , Multi-objective optimization on the basis of ratio analysis (MOORA) 52,53 , Operational competitiveness ratio (OCRA) [54][55][56] , Multi-criteria optimization and compromise solution (VIKOR, a Siberian abbreviation) [57][58][59] , Additive ratio assessment method (ARAS) [60][61][62] , and Range of value method (ROVM) 63,64 . The modus operandi of the MADMs was soft-coded in Microsoft Excel.…”