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

FMECA is the name of a widely utilized tool in diverse areas which based on the assessed potential failures, provides a foundation of remedial measures. Due to utilization of an expert team for evaluation of system failures, numerous methods for aggregating of opinions were proposed; which confronting with uncertainty and incomplete analysis of system have been two continual problems. In this paper, a new FMECA model based on fuzzy logic and Dempster-Shafer theory (D-S theory) is proposed to evaluate the risk in FMEA. The proposed model is development of a recent fuzzy rule-based model with 100 membership functions, which a novel linear equation (Gupta-Ghasemian formula) is discovered through it. By contributing of the generated formula to FMEA, a more useful method which provides a unique result for any combination of risk factors aiming at capturing of uncertainties is presented. As the case study, an industrial centrifugal pump is assessed by a FMEA team comprised of ten experts who were experienced in industrial components. Finally, according to the results, failure modes are ranked and critical components are recognized. © 2021 Elsevier Ltd

School of Mechanical Engineering

Chennai Campus

World University root node

Engineering Failure Analysis

A novel failure mode effect and criticality analysis (FMECA) using fuzzy rule-based method: A case study of industrial centrifugal pump

The main intention of the organization is to focused on enhancing its efficiency, life cycle, and productivity by maintaining better delivery time so that customer satisfying can be guaranteed. One way to achieve this intention is by implementing the concept of Total Productive Maintenance (TPM). In this study, barriers faced by Indian manufacturing organizations in the new emerging market had been determined through the questionnaire survey with the help of renowned academician and industrial experts. These barriers had been divided into key areas namely behavioral, organizational, cultural, technological, departmental, operational, and financial barriers. The barriers had positive as well as negative effects on the actual implementation of TPM aligned with life cycle engineering of productive equipment. The study identifies the crucial barriers to TPM employment in Indian manufacturing industries from the literature review and industrial experience. Hence, a unique model was developed for the determination of the driving and dependence power of the barriers to TPM execution to enhance the life cycle of productive equipment using Interpretive Structure Modelling (ISM). © 2021 Elsevier B.V.. All rights reserved.

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Procedia CIRP

Development of a Model for Total Productive Maintenance Barriers to Enhance the Life Cycle of Productive Equipment

The era we live in today is full of uncertainty and varying customer demand. Firms are managing various difficulties including consistent change, shorter item life cycles, assorted client necessities and expanded vulnerability of interest. The purpose of this paper is to put forth the dimensions along which a firm can improve its performance and enhance its sustainability through supply chain agility. Supply chain agility is a key component of all successful firms today, be it in the services or in the manufacturing sector. It is believed that an agile company would tend to outshine its competitors, who have not adopted the agile principles. Seven dimensions of supply chain agility have been identified in this paper; and their effect on each other and on supply chain agility is assessed using Fuzzy DEMATEL. Four major factors-accessibility, alertness, flexibility and swiftness are identified as the key determinants of agility. It is found that the operational flexibility and analytical capabilities of a firm play the most crucial role in determining its agility as they had the maximum effect on the overall system. This study provides the management of companies with a clear guide map as to how they can improve their agility in today's highly competitive market and how one dimension of supply chain agility has an impact on another dimension. Identification of dimensions of agility and evaluating their impact on each other as well as on supply chain agility using Fuzzy DEMATEL is a new and unique contribution to the concept of agility. © 2021 Elsevier B.V.. All rights reserved.

Modelling Supply Chain Agility Antecedents Using Fuzzy DEMATEL

Criticality analysis is a technique for the assessment of criticality rating for every constitutive part. Failure mode effect and criticality analysis (FMECA) are broadly utilized for characterizing, distinguishing and dispensing with potential failures from system, design, or process for the criticality analysis. The determination of the critical ranking of failure modes for criticality analysis is a vital issue of FMECA. The traditional method of FMECA determines the critical ranking of failure modes using the risk priority numbers, which is the product of evaluation criteria like the occurrence, severity and detection of each failure mode but it may not be realistic in some applications. The practical applications reveal that the criticality analysis using traditional FMECA has been considerably criticized for several reasons. In this paper, first, a detailed FMEA to find out the various failure modes of each component of a conventional lathe machine is performed and thereafter, the Fuzzy FMECA approach is used to perform the criticality analysis. A comparative analysis of fuzzy FMECA with traditional FMECA is also done to find out the most superior approach for the criticality analysis. It was concluded that the fuzzy FMECA approach is the most superior approach for the criticality analysis of a system. © 2020, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.

International Journal of Systems Assurance Engineering and Management

Comparative analysis of traditional and fuzzy FMECA approach for criticality analysis of conventional lathe machine

Reliability-centered maintenance (RCM) is a systematic process used to ensure that any physical facility will be able to meet its designed functions continuously in its current operating context. RCM suggests the appropriate maintenance strategies for performing the maintenance actions at the right time for a particular system. One of the important factors in developing an RCM within an organization is the adoption of a suitable framework that provides the required flow of various stages for proper selection of a maintenance plan based on reliability analysis. Several authors have proposed different frameworks for RCM. A comparative study has revealed that most of the frameworks are unique and mainly focused on the suggestion of the maintenance strategy only. This paper develops a framework based on strength, weakness, opportunity, and threats (SWOT) analysis of the existing frameworks using ISM-MICMAC approach. © IEOM Society International.

Proceedings of the International Conference on Industrial Engineering and Operations Management

Development of a framework for reliability centered maintenance

Identification of critical components and their prioritization for implementation of maintenance is an important task in industry. It is also one of the essential step of reliability-centered maintenance. In this paper, an attempt made is being made to find out the key factors associated with the criticality of components. Five major criteria affecting criticality of components i.e. cost, functional dependency, complexity, maintainability, and safety impact were proposed for criticality analysis. In addition, to identify the critical components a hierarchical network is proposed based on analytic network process. The proposed methodology evaluated with a case study on CNC lathe machine. This study can provide a realistic solution to decision-making problems for maintenance planning in prioritizing the critical component for reliability-centered maintenance. © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Identification of Critical Components Using ANP for Implementation of Reliability Centered Maintenance

The purpose of this paper is to select the appropriate maintenance strategies for each failure mode of functionally significant item of conventional milling machine. In order to describe the criticality analysis of conventional milling machine, this paper presents a study on reliability-centered maintenance with fuzzy logic and its comparison with conventional method. On the basis of fuzzy logic, failure mode and effect analysis is introduced integrating with fuzzy linguistic scale method. After that, weighted Euclidean distance formula and centroid defuzzification is used for calculating risk priority number. The results indicate that based on risk priority number, value criticality ranking was decided, and appropriate maintenance strategies were suggested for each failure mode. It also reflects that a more accurate ranking can be performed by the application of fuzzy logic using linguistic rule to failure mode and effect analysis. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Quality and Reliability Engineering International

A Failure Mode Effect and Criticality Analysis of Conventional Milling Machine Using Fuzzy Logic: Case Study of RCM

Maintenance practice is the critical need for every manufacturing organizations. Maintenance not only enhances the reliability of Equipments but also enhance customer satisfaction with products and increases the profit of organization. So, selecting proper strategy for maintenance is critical issue for organization because an inefficient policy not only affects the direct cost but also affects many other aspects. This paper represents the multi criteria decision making (MCDM) analysis using analytical hierarchy process (AHP) to overcome this issue by pair wise comparisons of various evaluating criteria and alternative options based on experts review and literature study. © IEOM Society International.

MCDM analysis for maintenance strategy selection

Total Productive Maintenance in the organizations is a challenging issue for Indian manufacturing industries. There is a rapid need to analyze the behavior of the barriers faced by Indian manufacturing industries for efficacious implementation of TPM. The purpose of this study is to recognize the mutual interaction among the barriers of Total Productive Maintenance (TPM) and to develop a hierarchy of barriers to TPM implementation. An interpretive structural modelling (ISM) - MICMAC methodology is employed to identify the inter-relationships among the barriers of TPM implementation. A hierarchy model of these barriers is developed; by driving and dependence power of the barriers. MICMAC methodology determines driving and driven barriers based on their driving and dependence power. © IEOM Society International.

Analysis of TPM Barriers using ISM-MICMAC Approach

Purpose - The purpose of this paper is to use well-established methodology strengths, weaknesses, opportunities and threats (SWOT) analysis - in order to identify the important factors for reliability centered maintenance (RCM) implementation. Design/methodology/approach - The paper demonstrates a SWOT analysis for different 19 frameworks of RCM to make a strategic decision for implementing RCM in different organizations. The various 19 frameworks are grouped together into three clusters, namely Group A, Group B and Group C based on their qualitative or theoretical, quantitative and practical approach, respectively. Findings - The strengths and weaknesses are identified by internal factors while the opportunities and threats are identified by external factors of an organization for each group of frameworks. Also, it was observed that each group of frameworks has a unique set of strengths and weaknesses. Research limitations/implications - In this paper, the SWOT analysis for RCM implementation is limited to the comparison of various 19 RCM frameworks which are available in literatures and based on internal or external factors of an organization. Practical implications - The SWOT analysis also suggests that the implementation of RCM is not an easy task for any practitioner and one should weigh in all the opportunities and threats before arriving at any strategic decision. Originality/value - A unique approach applied to analysis the frameworks of RCM. The SWOT analysis of various RCM frameworks will help the practitioner to take any strategic decision for RCM implementation in an organization. © 2016 Emerald Group Publishing Limited.

Journal of Quality in Maintenance Engineering

A SWOT analysis of reliability centered maintenance framework

RCM provides a structured and practical approach for arriving at an acceptable maintenance strategy for each component of a given system. In this paper, a study on reliability centered maintenance (RCM) has been conducted to reduce the total number of failures and its effects on the conventional lathe machine. The risk priority number (RPN) is, one of the key factors in determining the critical ranking of a failure mode of the mechanical equipment but there is a drawback in determining the critical ranking from RPN. There might be more than one failure modes which can share the same RPN number and therefore critical ranking cannot be assigned to those failure modes. Initially, the Severity, Occurrence and Detection rating integrating with failure mode and effect analysis (FMEA) is taken from several experts and then RPN is calculated for each of those experts. Then the criticality of the failure mode of the functionally significant items of conventional lathe machine is judged on the basis of mean RPN value as well as using the range. Overall the risk or criticality level of each failure mode is identified. After that, RCM logic is used for selection of a proper maintenance strategy for each failure mode. © 2016 World Scientific Publishing Company.

International Journal of Reliability, Quality and Safety Engineering

An Application of Reliability Centered Maintenance Using RPN Mean and Range on Conventional Lathe Machine

This paper presents a mathematical model based on continuous time Markov chain for performing availability and reliability analysis of a repairable system consisting of n components. It also describes a methodology for identifying a critical component based on continuous-time Markov chain state probabilities of an n-component repairable and non-repairable system. As an illustration, a 3-component repairable system has been modelled. A case study of conventional lathe machine has been presented to solve for state probabilities and analysed to find reliability indices, MTTF, MTBF, MTTR and Availability to provide insights and guidance on improving upon the reliability and maintainability. © 2015 IEEE.

IEEE International Conference on Industrial Engineering and Engineering Management

Reliability analysis and identification of critical components using Markov model

The purpose of this paper is to develop a framework for the implementation of World-class Maintenance Systems (WMS) with the help of Interpretive Structural Modeling (ISM) methodology. In our earlier work, the framework for WMS was proposed, which explained what constitutes WMS. As a follow up paper, an attempt has been made to present a detailed description about how an organization can implement WMS. To accomplish the same, a standard template is provided for describing the implementation of each and every element and their contextual relationships are also described by ISM methodology which shows driving power and dependence of each element. It is believed that such a normative presentation of the framework would benefit the managers in providing proper guidance and direction during implementation of WMS. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.