A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations

Sofuoğlu, Mehmet Alper; Orak, Sezan

doi:10.18201/ijisae.2017531427

Cited by 18 publications

(7 citation statements)

References 26 publications

(30 reference statements)

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“…Another study by [48] introduced the interval rough BWM-based Weighted Aggregated Sum Product ASsessment (WASPAS) and Multi-Attributive Border Approximation area Comparison (MABAC) models for the evaluation of third-party logistics providers. An integrated model including the BWM, TOPSIS, Gray Relational Analysis (GRA), and Weighted Sum Approach (WSA) was proposed for turning operations [49]. For web service selection, [50] employed the BWM, VIKOR, SAW, TOPSIS, and COmplex PRoportional ASsessment (COPRAS).…”

Section: Applications Of Bwm: a Literature Reviewmentioning

confidence: 99%

Application of Improved Best Worst Method (BWM) in Real-World Problems

et al. 2020

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The Best Worst Method (BWM) represents a powerful tool for multi-criteria decision-making and defining criteria weight coefficients. However, while solving real-world problems, there are specific multi-criteria problems where several criteria exert the same influence on decision-making. In such situations, the traditional postulates of the BWM imply the defining of one best criterion and one worst criterion from within a set of observed criteria. In this paper, an improvement of the traditional BWM that eliminates this problem is presented. The improved BWM (BWM-I) offers the possibility for decision-makers to express their preferences even in cases where there is more than one best and worst criterion. The development enables the following: (1) the BWM-I enables us to express experts’ preferences irrespective of the number of the best/worst criteria in a set of evaluation criteria; (2) the application of the BWM-I reduces the possibility of making a mistake while comparing pairs of criteria, which increases the reliability of the results; and (3) the BWM-I is characterized by its flexibility, which is expressed through the possibility of the realistic processing of experts’ preferences irrespective of the number of the criteria that have the same significance and the possibility of the transformation of the BWM-I into the traditional BWM (should there be a unique best/worst criterion). To present the applicability of the BWM-I, it was applied to defining the weight coefficients of the criteria in the field of renewable energy and their ranking.

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Section: Applications Of Bwm: a Literature Reviewmentioning

confidence: 99%

Application of Improved Best Worst Method (BWM) in Real-World Problems

et al. 2020

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“…These methods include analytical hierarchy process (AHP), analytical network process (ANP), fuzzy logic, multiobjective optimization based on ratio analysis (MOORA) method and technique for order of preference by similarity to ideal solution (TOPSIS) method and so on. (Basheer et al (2008); Singaravel and Selvaraj, 2015; Abbas et al , 2019; Sofuoglu and Orak, 2017; Khan, Maity; Khan and Maity, 2016; Khan and Maity, 2017d). Apart from this, some hybrid and innovative techniques, namely fuzzy-TOPSIS, fuzzy-MOORA and ANP-TOPSIS were also reported in order to confirm better solution of a specific problem (Khan and Maity, 2018b).…”

Section: Introductionmentioning

confidence: 99%

Estimation of optimal cutting conditions during machining of CP-Ti grade 2 in fuzzy–VIKOR context

Khan

Maity

2020

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PurposeTo explore a hybrid approach in order to attain optimal cutting conditions proficient of generating adequate dimensional accuracy in combination with virtuous surface finish during turning of commercially pure titanium (CP-Ti) grade 2.Design/methodology/approachIn the present paper, an application of the hybrid fuzzy–VIKOR method has been proposed to estimate an optimal combination of process variables during turning of commercially pure titanium (CP-Ti) grade 2. Three distinct input factors, namely, cutting speed, feed rate and depth of cut, were selected, each varied at three levels. Thus, a series of experiments were performed based on Taguchi's 3-factor-3-level (L27) orthogonal array. The major attention was given to acquire minimum cutting force and flank wear along with good surface finish. The adequacy of the proposed methodology was verified with the help of ANOVA test.FindingsThe results of the investigation revealed that the suggested hybrid technique is quite effective, easily understandable and time-saving approach, which can be successfully implemented to solve various problems either of similar or of different kinds.Originality/valueIncreasing demand of qualitative as well as low cost products is identified as the main challenging task in the current competitive market. Therefore, estimation and selection of the most suitable machining environment are of paramount importance in a real-time manufacturing system. Machining process involves both qualitative and quantitative factors, may be conflicting in nature, all to be considered together. Consequently, an appropriate combination of the machining variables is evidently desirable to meet the aforesaid challenges effectively.

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“…Five methods consisting of MOORA, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), BWM (Best-Worst Method), WSA (Weighted Sum Approach) and VIKOR (ViseKriterijumska Optimizacija I Kompromisno Resenje) were used simultaneously for multi-objective optimization of turning four different materials including AISI 4140, AISI 1040, Al-7075, Al-2024 [19]. The methods of TOPSIS, WSA, GRA were mixed for the multi-objective optimization of the turning operation with three different materials including AISI-1010, AISI-1050, Al-7075 [20], etc.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization in Turning Process Using RIM Method

Nguyen¹,

Vo²

2022

Applied Engineering Letters

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In all machining methods, surface roughness greatly influences the working ability and the life of parts. Besides, material removal rate (MRR) is the parameter that reflects machining productivity. Low surface roughness and high MRR values are ideal for most of the methods. This article presents a research on multi-objective optimization of turning process. The material used in the experiments is SCM440steel. And Taguchi method is applied to design an orthogonal array (L27), in which five parameters are selected as the input of testing process including cutting tool material, tool nose radius, spindle speed, feed rate and depth of cut. In addition, Reference Ideal Method (RIM) is applied to identify the value of the input parameters to achieve the minimum surface roughness and the maximum MRR. Accordingly, in order to obtain the maximum MRR and the minimum surface roughness at the same time, it is necessary to use TiN coated cutting tool, with the tool nose radius of 0.6 mm, the cutting speed of 94.25 m/min, the feed rate of 0.16 mm/rev, and the depth of cut of 0.5 mm. Impact of input parameters on output parameters is also analyzed in this study.

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A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations

Cited by 18 publications

References 26 publications

Application of Improved Best Worst Method (BWM) in Real-World Problems

Application of Improved Best Worst Method (BWM) in Real-World Problems

Estimation of optimal cutting conditions during machining of CP-Ti grade 2 in fuzzy–VIKOR context

Multi-Objective Optimization in Turning Process Using RIM Method

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