Critical spare parts ordering decisions using conditional reliability and stochastic lead time

Godoy, David R., Pascual, Rodrigo and Knights, Peter (2013) Critical spare parts ordering decisions using conditional reliability and stochastic lead time. Reliability Engineering and System Safety, 119 199-206. doi:10.1016/j.ress.2013.05.026

Author Godoy, David R.
Pascual, Rodrigo
Knights, Peter
Title Critical spare parts ordering decisions using conditional reliability and stochastic lead time
Journal name Reliability Engineering and System Safety   Check publisher's open access policy
ISSN 0951-8320
Publication date 2013-11
Sub-type Article (original research)
DOI 10.1016/j.ress.2013.05.026
Open Access Status
Volume 119
Start page 199
End page 206
Total pages 8
Place of publication London, United Kingdom
Publisher Elsevier
Collection year 2014
Language eng
Abstract Asset-intensive companies face great pressure to reduce operation costs and increase utilization. This scenario often leads to over-stress on critical equipment and its spare parts associated, affecting availability, reliability, and system performance. As these resources impact considerably on financial and operational structures, the opportunity is given by demand for decision-making methods for the management of spare parts processes. We proposed an ordering decision-aid technique which uses a measurement of spare performance, based on the stress-strength interference theory; which we have called Condition-Based Service Level (CBSL). We focus on Condition Managed Critical Spares (CMS), namely, spares which are expensive, highly reliable, with higher lead times, and are not available in store. As a mitigation measure, CMS are under condition monitoring. The aim of the paper is orienting the decision time for CMS ordering or just continuing the operation. The paper presents a graphic technique which considers a rule for decision based on both condition-based reliability function and a stochastic/fixed lead time. For the stochastic lead time case, results show that technique is effective to determine the time when the system operation is reliable and can withstand the lead time variability, satisfying a desired service level. Additionally, for the constant lead time case, the technique helps to define insurance spares. In conclusion, presented ordering decision rule is useful to asset managers for enhancing the operational continuity affected by spare parts.
Keyword Critical spare parts
Condition-based spares ordering
Proportional Hazards Model
Lead time
Condition-based service level
Stress-strength interference models
Ordering process
Q-Index Code CX
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
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Created: Sun, 13 Oct 2013, 00:13:34 EST by System User on behalf of School of Mechanical and Mining Engineering