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Development of the Availability Concept by Using Fuzzy Theory with AHP Correction, a Case Study: Bulldozers in the Open-Pit Lignite Mine

Author

Listed:
  • Stevan Djenadic

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Dragan Ignjatovic

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Milos Tanasijevic

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Ugljesa Bugaric

    (Faculty of Mechanical Engineering, University of Belgrade, 11000 Belgrade, Serbia)

  • Ivan Jankovic

    (Ministry of Mining and Energy, 11000 Belgrade, Serbia)

  • Tomislav Subaranovic

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

Abstract

Availability is one of the most used terms in maintainability engineering. This concept is used to denote: The quality of service of an engineering system, i.e., machines, weak points’ analysis, asset management, as well as making decisions in the process of life cycle management. Availability is an overall indicator and contains partial indicators that are oriented towards reliability, maintenance, and logistical support. Availability presents a variable value and changes in time and space. Usually, availability is shown as the coefficient of time use of the machine. This approach is not good enough because it does not go into the structure of the availability itself and requires a high level of IT support in system monitoring. In this sense, this paper will use the fuzzy theory and the corresponding analytic hierarchy process (AHP) multi-criteria analysis to present a conceptual and mathematical model for the assessment of availability based on expert judgment. The model will be shown in the case study (on the example) of bulldozers working in the open-pit lignite mine.

Suggested Citation

  • Stevan Djenadic & Dragan Ignjatovic & Milos Tanasijevic & Ugljesa Bugaric & Ivan Jankovic & Tomislav Subaranovic, 2019. "Development of the Availability Concept by Using Fuzzy Theory with AHP Correction, a Case Study: Bulldozers in the Open-Pit Lignite Mine," Energies, MDPI, vol. 12(21), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4044-:d:279759
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    References listed on IDEAS

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    1. Gordana Milentijević & Blagoje Nedeljković & Milena Lekić & Zoran Nikić & Ivica Ristović & Jelena Djokić, 2016. "Application of a Method for Intelligent Multi-Criteria Analysis of the Environmental Impact of Tailing Ponds in Northern Kosovo and Metohija," Energies, MDPI, vol. 9(11), pages 1-18, November.
    2. Erkoyuncu, John Ahmet & Khan, Samir & Eiroa, Alexandre López & Butler, Nigel & Rushton, Keith & Brocklebank, Simon, 2017. "Perspectives on trading cost and availability for corrective maintenance at the equipment type level," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 53-69.
    3. Ebrahimipour, V. & Suzuki, K., 2006. "A synergetic approach for assessing and improving equipment performance in offshore industry based on dependability," Reliability Engineering and System Safety, Elsevier, vol. 91(1), pages 10-19.
    4. Balbir S. Dhillon, 2008. "Mining Equipment Reliability, Maintainability, and Safety," Springer Series in Reliability Engineering, Springer, number 978-1-84800-288-3, June.
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    Cited by:

    1. Stevan Djenadic & Milos Tanasijevic & Predrag Jovancic & Dragan Ignjatovic & Dejan Petrovic & Ugljesa Bugaric, 2022. "Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM," Mathematics, MDPI, vol. 10(5), pages 1-26, March.
    2. Miljan Gomilanovic & Milos Tanasijevic & Sasa Stepanovic & Filip Miletic, 2023. "A Model for Determining Fuzzy Evaluations of Partial Indicators of Availability for High-Capacity Continuous Systems at Coal Open Pits Using a Neuro-Fuzzy Inference System," Energies, MDPI, vol. 16(7), pages 1-18, March.
    3. Olga Porro & Francesc Pardo-Bosch & Núria Agell & Mónica Sánchez, 2020. "Understanding Location Decisions of Energy Multinational Enterprises within the European Smart Cities’ Context: An Integrated AHP and Extended Fuzzy Linguistic TOPSIS Method," Energies, MDPI, vol. 13(10), pages 1-29, May.
    4. Liu, Wu & Hui, Longxuan & Lu, Yuting & Tang, Jinsong, 2020. "Developing an evaluation method for SCADA-Controlled urban gas infrastructure hierarchical design using multi-level fuzzy comprehensive evaluation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 30(C).
    5. Miljan Gomilanovic & Milos Tanasijevic & Sasa Stepanovic, 2022. "Determining the Availability of Continuous Systems at Open Pits Applying Fuzzy Logic," Energies, MDPI, vol. 15(18), pages 1-24, September.

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