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

Riccardo Patriarca, Tianya Hu, Francesco Costantino, Giulio Di Gravio and Massimo Tronci
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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

Sustainability, 2019, vol. 11, issue 19, 1-15

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.

Keywords: inventory control; inventory management; supply chain management; maintenance management; METRIC; Discrete Weibull (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:19:p:5180-:d:269402

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