An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation

Thọ, Nguyễn Hữu; Dawal, Siti Zawiah Md; Yusoff, Nukman; Aoyama, Hideki; Case, Keith

doi:10.1371/journal.pone.0133599

Cited by 82 publications

(46 citation statements)

References 58 publications

(70 reference statements)

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“…Antucheviciene et al (2012) applied TOPSIS-F, COPRAS-F and VIKOR-F to rank the redevelopment decisions of derelict buildings under fuzzy environment. Chatterjee and Bose (2012), Nguyen et al (2015) and also Akhavan et al (2015) studied different MCDM problems using COPRAS-F method. COPRAS method has also been handled by new extensions of fuzzy sets such as intuitionistic or hesitant fuzzy sets (Razavi Hajiagha et al 2013;Bausys et al 2015;Gitinavard et al 2016).…”

Section: Literature Review On Copras-g Methodsmentioning

confidence: 99%

Fuzzy Copras Method for Performance Measurement in Total Productive Maintenance: A Comparative Analysis

Bekar

Çakmakçı

Kahraman

2016

Journal of Business Economics and Management

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Abstract. Modern manufacturing firms should be supported by effective maintenance to become successful in their operations. One of the approaches for improving the performance of maintenance activities is to implement a total productive maintenance (TPM) strategy. Overall equipment effectiveness (OEE) is the key measure of TPM. According to the results of the literature review, the performance elements measured by the OEE tool are not sufficient to describe the effectiveness of TPM implementation. Hence, we aim at developing and evaluating new performance measures oriented towards the quantification of TPM implementation effectiveness under fuzzy environment. For the evaluation of each performance measure, at first, the nominal group technique has been used. Then to determine whether these performance measures are statistically significant, conjoint analysis based experimental design has been applied. In the second step, COmplex PRoportional ASsessment of alternatives with Grey relations (COPRAS-G) and the fuzzy COPRAS method has been developed to evaluate these performance measures in TPM. Proposed fuzzy COPRAS method gives the reassuring results of ranking newly developed performance measures in TPM.Keywords: COPRAS-G, performance measurement, new performance measures, total productive maintenance, conjoint analysis, fuzzy COPRAS. IntroductionTPM is a new concept for maintenance that better optimizes the equipment effectiveness, minimizes breakdowns and encourages operators to autonomous maintenance for day-to-day activities involving total workforce (Andersson 2015). TPM aims to improve equipment effectiveness during the lifetime of the equipment. 664E. Turanoglu Bekar et al. Fuzzy COPRAS method for performance measurement in total productive ... Nakajima (1988) initiated TPM concept in the 1980s, which brought measurable metric named OEE for measuring productivity of individual equipment in a factory. It explains and measures losses of significant sides of manufacturing specifically availability, performance, and quality rate.OEE approach has been starting to be widely used as an important quantitative metric for measurement of productivity in manufacturing operations (Huang et al. 2003). The use of OEE varies from one industry to another, and it is tailored to fit to comply with industries' specific requirements.According to the literature review on performance evaluation in TPM, OEE metric has widely been used as an important performance measure, but it is not adequate to define the effectiveness of TPM. Jeon et al. (2011) also suggested measuring the performance of TPM in terms of efficiency. This has caused to a requirement for a thoroughly described performance measurement system for TPM which is capable of considering different significant elements of productivity in a manufacturing process. Therefore, in this study new performance measures having an impact on TPM are proposed and proposed performance measures are evaluated under fuzzy environment.The innovative side of this study is to develop new per...

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Section: Literature Review On Copras-g Methodsmentioning

confidence: 99%

Fuzzy Copras Method for Performance Measurement in Total Productive Maintenance: A Comparative Analysis

Bekar

Çakmakçı

Kahraman

2016

Journal of Business Economics and Management

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“…Non-uniform task for cutting tool material selection [39] and structural materials selection [40][41][42][43] also finely fit into the area of MCDM. Proper selection of machine tools for changing production flow has been performed using fuzzy AHP and COPRAS methods [44].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Steel Wire Rope Diagnostic Data Applying Multi-Criteria Methods

et al. 2018

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Steel ropes are complex flexible structures used in many technical applications, such as elevators, cable cars, and funicular cabs. Due to the specific design and critical safety requirements, diagnostics of ropes remains an important issue. Broken wire number in the steel ropes is limited by safety standards when they are used in the human lifting and carrying installations. There are some practical issues on loose wires-firstly, it shows end of lifetime of the entire rope, independently of wear, lubrication or wrong winding on the drums or through pulleys; and, secondly, it can stick in the tight pulley-support gaps and cause deterioration of rope structure up to birdcage formations. Normal rope operation should not generate broken wires, so increasing of their number shows a need for rope installation maintenance. This paper presents a methodology of steel rope diagnostics and the results of analysis using multi-criteria analysis methods. The experimental part of the research was performed using an original test bench to detect broken wires on the rope surface by its vibrations. Diagnostics was performed in the range of frequencies from 60 to 560 Hz with a pitch of 50 Hz. The obtained amplitudes of the broken rope wire vibrations, different from the entire rope surface vibration parameters, was the significant outcome. Later analysis of the obtained experimental results revealed the most significant values of the diagnostic parameters. The evaluation of the power of the diagnostics was implemented by using multi-criteria decision-making (MCDM) methods. Various decision-making methods are necessary due to unknown efficiencies with respect to the physical phenomena of the evaluated processes. The significance of the methods was evaluated using objective methods from the structure of the presented data. Some of these methods were proposed by authors of this paper. Implementation of MCDM in diagnostic data analysis and definition of the diagnostic parameters significance offers meaningful results.

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“…The Decision-Makers (DMs), preferred alternative(s) are chosen by providing the preference information in the form of exact numerical values, interval values (Joshi & Kumar, 2014) or in the form of linguistic variables (Nguyen, Dawal, Nukman, Aoyama, & Case, 2015). However, according to Hosseininasab & Dehghanbaghi, (Hosseininasab & Dehghanbaghi, 2015) such preferences information's are often characterized by ambiguity due to vagueness and uncertainty.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Fuzzy Dephi and Interval-Valued Intuitionistic Fuzzy M-Topsis Model for Design Concept Selection

Aikhuele

Turan

2017

Pak.j.stat.oper.res.

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In this paper, the Modified Technique for Order Preference by Similarity to the Ideal Solution (M-TOPSIS) model has been extended into the intuitionistic fuzzy environment. By applying the improved score function first, to represent the aggregated effect of positive and negative evaluations in the performance ratings of the alternatives based on interval-valued intuitionistic fuzzy set (IVIFS) data and in combination with the weighted normalized Euclidean distance for the computation of the separation measures of alternative(s) for the intuitionistic positive and negative ideal solutions. The two methods which have been used for the computation of the separation measure have been integrated using a new reflection defuzzification integration formula which has been introduced in this study. To prove the efficacy of the proposed model, the model have been applied for the evaluation and selection design concept for a new printed circuit board (PCB), and for a modified hypothetical example which is based on the selection of a preferred Naval vessel as a reference for a new design.

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An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation

Cited by 82 publications

References 58 publications

Fuzzy Copras Method for Performance Measurement in Total Productive Maintenance: A Comparative Analysis

Fuzzy Copras Method for Performance Measurement in Total Productive Maintenance: A Comparative Analysis

Analysis of Steel Wire Rope Diagnostic Data Applying Multi-Criteria Methods

An Integrated Fuzzy Dephi and Interval-Valued Intuitionistic Fuzzy M-Topsis Model for Design Concept Selection

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