Title :
Optimal maintenance policies for multi-state deteriorating product based on remanufacturability
Author :
Su, Chun ; Shen, Jinyun
Author_Institution :
Dept. of Ind. Eng., Southeast Univ., Nanjing, China
Abstract :
This paper proposes optimal maintenance policies for multi-deteriorating product considering its remanufacturability so as to reduce maintenance cost. It is assumed that all the failures can be repaired and the repair time can be considered. A maintenance model is established for diverse health index based on long-run average cost rate. In the model, discrete Markov process is adopted to depict the system deteriorating. Once a failure occurs, the system´s health index can be identified immediately. Then the system´s remanufacturability and continuing using capability through repairs are evaluated to determine the maintenance policy. The optimal maintenance policies can be obtained by a policy-iteration algorithm. Finally, the proposed approach is applied to an automotive engine. The results show that the model can describe the multi-degradation repair process effectively, and can be used to optimize the maintenance policies.
Keywords :
Markov processes; automotive components; cost reduction; engines; failure (mechanical); iterative methods; maintenance engineering; recycling; Markov process; automotive engine; diverse health index; long-run average cost rate; maintenance cost reduction; maintenance model; multidegradation repair process; multistate deteriorating product; optimal maintenance policies; policy-iteration algorithm; system health index; system remanufacturability; Equations; Facsimile; Manganese; Reliability; long-run average cost rate; multi-degradation; policy-iteration algorithm; remanufacturability;
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
DOI :
10.1109/PHM.2012.6228961