The objective of this paper is to evaluate greatest risk for production of dust cap in automotive industry based on FMEA and FAHP integrated with TOPSIS and VIKOR under fuzzy environment. FAHP is used to compute the weights of severity, occurrence and detection, whereas fuzzy TOPSIS and fuzzy VIKOR are used to obtain the final ranking of risk. The ranking of the failures depends upon the closeness coefficient of nine failure modes. The priority ranking order of failures for fuzzy TOPSIS and fuzzy VIKOR are F1 (0.649) &gt; F2(0.5116) &gt; F4(0.470) &gt; F6(0.4128) &gt; F3(0.4118) &gt; F7(0.406) &gt; F8(0.372) &gt; F5(0.3445) &gt; F9(0.3409) and F1(0) &gt; F2(0.461) &gt; F4(0.716) &gt; F3(0.720) &gt; F7(0.957) &gt; F6(0.967) &gt; F8(0.974) &gt; F5(0.982) &gt; F9 (1.000). Hence by comparing both these methods, F1(blanking of blank failure) and F2 (drawing dimension failure) are obtained as the most serious failure mode using fuzzy TOPSIS and fuzzy VIKOR. Copyright © 2018 Inderscience Enterprises Ltd.

Sakthivel G

Mechanical

School of Mechanical Engineering

Chennai Campus

Saravanakumar D

Muthuramalingam T.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Productivity and Quality Management

The increasing demand on energy due to population growth and rising of living standards has led to considerable use of fossil fuels which has in turn, had an adverse impact on environmental pollution and depletion of fossil fuels in Internal Combustion (IC) engine sector. Alternative fuel blend evaluation in IC engine fuel technologies is a very important strategic decision involving decisions balancing within a number of criteria and opinions from different decision maker of IC engine experts. The selection of appropriate source of biodiesel and proper blending of biodiesel plays a major role in alternate energy production. This paper describes an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of optimum biodiesel blend in the IC engine. The proposed model, Analytical Network Process (ANP) is integrated with Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to evaluate the optimum blend. Here the ANP is used to determine the relative weights of the criteria, whereas TOPSIS is used for obtaining the final ranking of alternative blends. An efficient pair-wise comparison process and ranking of alternatives can be achieved for optimum blend selection through the integration of ANP and TOPSIS. The obtained preference order for the blends are as B20 &gt; B40 &gt; Diesel &gt; B60 &gt; B80 &gt; B100. This paper highlights a new insight into MCDM techniques to evaluate the best fuel blend for the decision makers such as engine manufactures and R&amp;D engineers to meet the fuel economy and emission norms to empower the green revolution. © 2016 Taylor &amp; Francis Group, LLC.

International Journal of Green Energy

Selection of optimum fish oil fuel blend to reduce the greenhouse gas emissions in an IC engine—A hybrid multiple criteria decision aid approach

This paper develops an evaluation model based on failure mode and effect analysis (FMEA) and fuzzy analytic hierarchy process (FAHP), to help the maintenance person for assessing the risk priority of the critical components in the paper industry to provide timely maintenance. Traditional FMEA determines risk priority number (RPN) by multiplying the scores of three factors. However the scores which are computed through traditional FMEA do not considere relative importance of the factors. The FAHP is used to compute the relative weights of the decision factors. A numerical example is used to illustrate the efficiency of the proposed model. Copyright © 2014 Inderscience Enterprises Ltd.

Failure mode and effect analysis using fuzzy analytic hierarchy process

International Journal of Science and Research (IJSR)

Process FMEA Analysis for Reducing Breakdowns of Mixed Model Assembly Line in Automobile Industry

Journal of Intelligent Manufacturing

Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR

Journal of Transport and Supply Chain Management

Fuzzy VIKOR approach for selection of big data analyst in procurement management

Application of failure mode and effect analysis in manufacturing industry - an integrated approach with FAHP-fuzzy TOPSIS and FAHP-fuzzy VIKOR

Journal	International Journal of Productivity and Quality Management
Publisher	Inderscience Publishers
ISSN	1746-6474
Open Access	0