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A System-Approach for Recoverable Spare Parts Management Using the Discrete Weibull Distribution

Author

Listed:
  • Riccardo Patriarca

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18-00184 Rome, Italy)

  • Tianya Hu

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18-00184 Rome, Italy)

  • Francesco Costantino

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18-00184 Rome, Italy)

  • Giulio Di Gravio

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18-00184 Rome, Italy)

  • Massimo Tronci

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18-00184 Rome, Italy)

Abstract

Optimal spare parts management strategies allow sustaining a system’s availability, while ensuring timely and effective maintenance. Following a systemic perspective, this paper starts from the Multi-Echelon Technique for Recoverable Item Control (METRIC) to investigate the potential use of a Weibull distribution for modelling items’ demand in case of failure. Adapting the analytic formulation of METRIC through a Discrete Weibull distribution, this study originally proposes a METRIC-based model (DW-METRIC) to be used for modelling the stochastic demand in multi-item systems, in order to ensure process sustainability. The DW-METRIC has been tested in a case study related to an industrial plant constituted by 98 items in a passive redundancy configuration. Comparing the results via a simulation model, the outcomes of the study allow defining applicability criteria for the DW-METRIC, in those settings where the DW-METRIC offers more accurate estimations than the traditional METRIC.

Suggested Citation

  • Riccardo Patriarca & Tianya Hu & Francesco Costantino & Giulio Di Gravio & Massimo Tronci, 2019. "A System-Approach for Recoverable Spare Parts Management Using the Discrete Weibull Distribution," Sustainability, MDPI, vol. 11(19), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5180-:d:269402
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    References listed on IDEAS

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