A new failure mode and effects analysis model of CNC machine tool using fuzzy theory

Yang, Zhaojun; Xu, Binbin; Chen, Fei; Hao, Qingbo; Zhu, Xiaocui; Jia, Yali

doi:10.1109/icinfa.2010.5512403

Cited by 20 publications

(9 citation statements)

References 10 publications

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“…Failure mode and effects analysis is one of the most efficient low‐risk tools for prevention of problems and for identification of more effective solutions. A new FMEA model employed by Yang et al on computer numerical control machine tool is implemented in this paper. This model was composed with risk‐space diagram, fuzzy scale method and weighted Euclidean distance formula.…”

Section: Study Of Reliability‐centered Maintenance Methodology On Conmentioning

confidence: 99%

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

Gupta

Mishra

2016

Qual. Reliab. Engng. Int.

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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.

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Section: Study Of Reliability‐centered Maintenance Methodology On Conmentioning

confidence: 99%

“…Bertolini, (2006) presented a fuzzy VIKOR criticality analysis approach for FMECA technique and tested by means of an industrial case study, dealing with an important Italian oil refinery. Yang et al (2010), proposed a new FMECA model using fuzzy theory for a computer numerical control machine tool. Zafiropoulos et al .…”

Section: Introductionmentioning

confidence: 99%

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

Gupta

Mishra

2016

Qual. Reliab. Engng. Int.

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“…However, FMEA methods are not always used for machine criticality analysis. It can be intended for risk analysis using failure mode of equipment, where the failure mode that affects the equipment the most is critical (Yang et al , 2010; Bertolini and Bevilacqua, 2006). Also, maintenance criticality analysis, which is similar to that of FMECA, is used to design maintenance policy (Silvestri et al , 2014), whereas a quantitative and collaborative criticality analysis approach in a pharmaceutical plant uses this for preventive maintenance priorities (de León Hijes and Cartagena, 2006).…”

Section: Related Workmentioning

confidence: 99%

Machine criticality based maintenance prioritization

Gopalakrishnan

Skoogh

2018

IJPPM

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Purpose-The purpose of this paper is to identify the productivity improvement potentials from maintenance planning practices in manufacturing companies. In particular, the paper aims at understanding the connection between machine criticality assessment and maintenance prioritization in industrial practice, as well as providing the improvement potentials. Design/methodology/approach-An explanatory mixed method research design was used in this study. Data from literature analysis, a web-based questionnaire survey, and semi-structured interviews were gathered and triangulated. Additionally, simulation experimentation was used to evaluate the productivity potential. Findings-The connection between machine criticality and maintenance prioritization is assessed in an industrial setup. The empirical findings show that maintenance prioritization is not based on machine criticality, as criticality assessment is non-factual, static, and lacks system view. It is with respect to these finding that the ways to increase system productivity and future directions are charted. Originality/value-In addition to the empirical results showing productivity improvement potentials, the paper emphasizes on the need for a systems view for solving maintenance problems, i.e. solving maintenance problems for the whole factory. This contribution is equally important for both industry and academics, as the maintenance organization needs to solve this problem with the help of the right decision support.

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“…13 Some works have been undertaken to develop a method of diagnosing operational faults in CNC machines based on switching function. 14 Soft computing approaches 15,16 have also been attempted for carrying out failure mode and effects analysis (FMEA) and criticality analysis on CNC machines. Rao and Gandhi 17 carried out failure cause analysis of machine tools at design stage by considering structure.…”

Section: Introductionmentioning

confidence: 99%

Reliability enhancement of manufacturing systems through functions

Loganathan

Gandhi

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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A reliable system means being able to perform its intended functions. Therefore, ensuring performing of its required functions will help to enhance its reliability. For a manufacturing system (e.g. computer numerical control machines), there are a large number of functions, which complicate and make analysis difficult. In this article, a logical and systems approach of graph theory, which is effective to eliminate such difficulties, is employed. The graph theoretic models do consider the system structure explicitly and are applied to model functions at various hierarchical levels of a manufacturing system. These function digraph models are analysed using matrix approach to examine the cause and effect, which helps to evaluate importance of the function and hence provide direction for system reliability enhancement. A step-by-step methodology is presented, which is illustrated by an example of manufacturing system: computer numerical control drilling machine.

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A new failure mode and effects analysis model of CNC machine tool using fuzzy theory

Cited by 20 publications

References 10 publications

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

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

Machine criticality based maintenance prioritization

Reliability enhancement of manufacturing systems through functions

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