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Smart Failure Mode and Effects Analysis (FMEA) for Safety–Critical Systems in the Context of Industry 4.0

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Advances in Reliability, Failure and Risk Analysis

Part of the book series: Industrial and Applied Mathematics ((INAMA))

Abstract

In digitalized environments, advanced fault diagnosis and prognosis approaches are widely used for system safety and reliability assessments. As a proactive diagnosis approach, Failure Mode and Effects Analysis (FMEA) plays a critical role in identifying system bottlenecks and mitigating the adverse consequences within high-risk industries. Therefore, this chapter deals with the different types of FMEAs, FMEA in safety–critical systems, current drawbacks, and limitations of classical-FMEA theories, as well as supporting the classical form by introducing hybrid-FMEA models that performs the uncertainty quantification and machine learning techniques, MCDM methods, and other complementary failure analysis approaches. Finally, it discusses about smart-FMEA platform in modern industries and its improvements in the context of Industry 4.0.

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Notes

  1. 1.

    International quality management system (QMS) standard for the automotive industry originally developed by the American auto industry (Daimler Chrysler Corporation, Ford Motor Company, and General Motors Corporation).

  2. 2.

    IATF 16949 is a global Quality Management System Standard for the Automotive industry. It was developed by the International Automotive Task Force (IATF) with support from the Automotive Industry Action Group (AIAG).

Abbreviations

Notation :

Main acronyms

FMEA:

Failure mode and effects analysis

MCDM:

Multiple-criteria decision-making

FTA:

Fault tree analysis

HACCP:

Hazard analysis, critical control points

RCA:

Root cause analysis deployment

QSR:

Quality system requirements

IATF:

International automotive task force

AIAG:

Automotive industry action group

QMS:

International quality management system

ETA:

Event tree analysis

RCM:

Reliability centered maintenance

BWM:

Best-worst method

RAMS:

Reliability, availability, maintainability, and safety

RPN:

Risk priority number

S:

Severity

O:

Occurrence

D:

Detectability

QFD:

Quality function deployment

IoT:

Internet of Things

FM:

Failure mode

DEA:

Data envelopment analysis

HAZOP:

Hazard and operability analysis

QRA:

Quantitative risk assessment

PSA:

Probabilistic safety assessment

ANP:

Analytic network process

BOFM:

Brake oil filling machine

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Author information

Authors and Affiliations

  1. Department of Biosystems Engineering, Ferdowsi University of Mashhad, 9177948974, Mashhad, Iran

    Hamzeh Soltanali

  2. Department of Industrial Engineering, Faculty of Engineering, Imam Hossein University, 1698715461, Tehran, Iran

    Hamzeh Soltanali & Saeed Ramezani

Authors
  1. Hamzeh Soltanali
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  2. Saeed Ramezani
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Correspondence to Hamzeh Soltanali .

Editor information

Editors and Affiliations

  1. School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Harish Garg

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Soltanali, H., Ramezani, S. (2023). Smart Failure Mode and Effects Analysis (FMEA) for Safety–Critical Systems in the Context of Industry 4.0. In: Garg, H. (eds) Advances in Reliability, Failure and Risk Analysis. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-19-9909-3_7

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