Title
Critical spare parts ordering decisions using conditional reliability and stochastic lead time.
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.
Year
DOI
Venue
2013
10.1016/j.ress.2013.05.026
Reliability Engineering & System Safety
Keywords
Field
DocType
Critical spare parts,Condition-based spares ordering,Proportional Hazards Model,Lead time,Condition-based service level,Stress–strength interference models,Ordering process
Overstock,Spare part,Safety stock,Risk analysis (engineering),Lead time,Profitability index,Stock (geology),Throughput,Downtime,Operations management,Business
Journal
Volume
ISSN
Citations 
119
0951-8320
5
PageRank 
References 
Authors
0.48
8
3
Name
Order
Citations
PageRank
David R. Godoy150.82
R. Pascual28210.83
Peter Knights350.82