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Integrated Fuzzy AHP-Codas Framework for Maintenance Decision in Urea Fertilizer Industry

Author

Listed:
  • Dilbagh PANCHAL

    (Department of Mechanical Engineering, Amity University, INDIA)

  • Prasenjit CHATTERJEE

    (Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah-711204, INDIA)

  • Rajendra Kumar SHUKLA

    (Department of Mechanical Engineering, Amity University, INDIA)

  • Tanupriya CHOUDHURY

    (Department of Computer Science, Amity University,INDIA)

  • Jolanta TAMOSAITIENE

    (Civil Engineering Faculty, Research Institute of Smart Building Technologies Vilnius Gediminas Technical University, LITHUANIA)

Abstract

This paper proposes a novel integrated MCDM (multi-criteria decision-making) framework based on fuzzy AHP (Analytical Hierarchy Process) and a new fuzzy CODAS (Combinative Distance Based Assessment) approaches for solving the maintenance decision problem in a process industry. Under fuzzy AHP, a hierarchy structure related to the decision problem has been developed and the weights for different criteria and sub-criteria were computed using Geometric Mean (GM) method. These weights are further included in fuzzy CODAS approach to obtain the final ranking of the considered alternative maintenance strategies. Sensitivity analysis has also been performed for investigating the stability and validation of the proposed framework. The proposed framework was employed for selecting an optimal maintenance strategy for an Ammonia Synthesis Unit (ASU) of a urea fertilizer industry located in North India.

Suggested Citation

  • Dilbagh PANCHAL & Prasenjit CHATTERJEE & Rajendra Kumar SHUKLA & Tanupriya CHOUDHURY & Jolanta TAMOSAITIENE, 2017. "Integrated Fuzzy AHP-Codas Framework for Maintenance Decision in Urea Fertilizer Industry," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 179-196.
    • Handle: RePEc:cys:ecocyb:v:50:y:2017:i:3:p:179-196
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    References listed on IDEAS

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    10. Mehdi Keshavarz Ghorabaee & Maghsoud Amiri & Edmundas Kazimieras Zavadskas & Reyhaneh Hooshmand & Jurgita Antuchevičienė, 2017. "Fuzzy extension of the CODAS method for multi-criteria market segment evaluation," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(1), pages 1-19, January.
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    More about this item

    Keywords

    Urea fertilizer industry; maintenance strategy selection; Fuzzy AHP-CODAS; sensitivity analysis.;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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