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Reliability Analysis of CNG Dispensing Unit by Lambda-Tau Approach

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Operations Management and Systems Engineering

Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

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Abstract

CNG is considered a low maintenance cost and environment friendly fuel. Its use as an alternative fuel has surged in cities having CNG stations. Due to limited number of CNG stations, there is a substantial gap between demand and supply of CNG fuel. CNG dispensing unit is an important system of CNG station. Extended operation of dispensing unit is required for delineating this gap. For this, availability and reliability of CNG dispensing unit should be high. The present study reviews and exemplifies the fuzzy reliability analysis approach for behavioural analysis of CNG dispensing unit. The reliability block diagram and fuzzy Lambda-Tau approach have been used for evaluating reliability parameters. Fuzzy methodology has been used for representing failure rate and repair time. In present research work a comparative study of conventional fuzzy theory and vague theory has been expounded. The crisp reliability input and output data have been fuzzified using extension principle and alpha-cut approach. The fuzzy output has been defuzzified for assessing the system behaviour. The results of the study were communicated to system analyst and maintenance engineer.

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Abbreviations

FMEA:

Failure mode and effect analysis

RPN:

Risk Priority Number

FRPN:

Fuzzy Risk Priority Number

GRA:

Grey Relational Analysis

FIS:

Fuzzy Inference System

CNG:

Compressed Natural Gas

PM:

Particulate Matter

ISO:

International Standards Organization

IS:

Indian Standard

NASA:

National Aeronautics and Space Administration

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology Kurukshetra, Kurukshetra, 136118, Haryana, India

    Priyank Srivastava & Dinesh Khanduja

  2. Amity University Noida, Noida, 201301, UP, India

    Priyank Srivastava, G. Aditya Narayanan, Mohit Agarwal & Mridul Tulsian

Authors
  1. Priyank Srivastava
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  2. Dinesh Khanduja
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  3. G. Aditya Narayanan
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  4. Mohit Agarwal
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  5. Mridul Tulsian
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Corresponding author

Correspondence to Priyank Srivastava .

Editor information

Editors and Affiliations

  1. Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Anish Sachdeva

  2. Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Pradeep Kumar

  3. North Dakota State University, Fargo, ND, USA

    Om Prakash Yadav

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Srivastava, P., Khanduja, D., Narayanan, G.A., Agarwal, M., Tulsian, M. (2019). Reliability Analysis of CNG Dispensing Unit by Lambda-Tau Approach. In: Sachdeva, A., Kumar, P., Yadav, O. (eds) Operations Management and Systems Engineering. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6476-1_9

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  • DOI: https://doi.org/10.1007/978-981-13-6476-1_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6475-4

  • Online ISBN: 978-981-13-6476-1

  • eBook Packages: EngineeringEngineering (R0)

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