Journal
IEEE TRANSACTIONS ON RELIABILITY
Volume 72, Issue 1, Pages 395-407Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TR.2021.3125963
Keywords
Inspection; Production; Maintenance engineering; Costs; Production systems; Reliability; Raw materials; Delay-time concept; inspection; maintenance decision; multiple failure modes; production wait
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In real production systems, when there is a lack of demand or exhaustion of raw materials, the system may be stopped, creating an opportunity for maintenance. Modern machines' increased complexity presents challenges in modeling and analyzing their failure behaviors. To address these issues, this article proposes a maintenance model for a single-unit system that can fail due to hard or soft failures. The model utilizes the system's wait time for inspections and maintenance, and determines the optimal inspection interval and age threshold to minimize long-term maintenance costs. A case study demonstrates the effectiveness of the proposed model, and sensitivity analysis explores the impact of cost parameters on the optimal inspection interval and age threshold.
In many real production systems, a system may be stopped due to a lack of demand or exhaustion of raw materials. This is known as production wait and provides a good opportunity for maintenance. Meanwhile, the increased complexity of the modern machines brings new challenges for modeling and analyzing their failure behaviors. To address these real-world problems, this article considers a single-unit system that may fail due to either hard failures or soft failures. The wait time of a system is utilized to conduct inspections and maintenance. The system is replaced when a defect is found during an inspection, a failure occurred or a prespecified age threshold is reached, whichever comes first. The cost model, which is the long-run maintenance cost per unit of time, is derived. The optimal periodical inspection interval and the threshold age to minimize the long run maintenance cost per unit of time is then obtained. A case study is conducted to demonstrate the proposed maintenance model. The study shows using the proposed maintenance model can reduce the cost. Sensitivity analysis illustrates how each cost parameter affects the optimal inspection interval and the optimal age threshold.
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