Reliability and condition-based maintenance modeling for systems operating under performance-based contracting
•Two-stage degradation-based and shock-based failure processes are established.•System state transition and unit-specific heterogeneity are incorporated.•Reliability and CBM models are formulated.•Optimal maintenance policy is obtained under performance-based contracting.•Applicability of the models...
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| Published in | Computers & industrial engineering Vol. 142; p. 106344 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.04.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0360-8352 1879-0550 |
| DOI | 10.1016/j.cie.2020.106344 |
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| Abstract | •Two-stage degradation-based and shock-based failure processes are established.•System state transition and unit-specific heterogeneity are incorporated.•Reliability and CBM models are formulated.•Optimal maintenance policy is obtained under performance-based contracting.•Applicability of the models is demonstrated through a numerical study.
Performance-based contracting motivates service providers to implement effective maintenance policies so as to boost profits and improve system performance at a lower cost. This paper deals with reliability and condition-based maintenance modeling for single-unit systems operating under performance-based contracting. For a system subject to degradation and sudden shocks, there involves three states: normal, degraded and failed. Once entered into the degraded state, the system deteriorates faster and becomes more susceptible to shocks. The degradation conforms to a two-stage inverse Gaussian process with random effects characterizing unit-specific heterogeneity in the population. Furthermore, the arrival of sudden shocks follows a doubly stochastic Poisson process. A reliability model is developed based on degradation-based and shock-based failures modeling. Afterwards, the long-run maintenance cost rate and the average system availability are evaluated. Optimal inspection-based preventive replacement policy is obtained by maximizing the expected profit rate to the service provider. Finally, a numerical example along with sensitivity analysis of model parameters is presented to demonstrate the applicability and solution procedure of the proposed models. |
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| AbstractList | •Two-stage degradation-based and shock-based failure processes are established.•System state transition and unit-specific heterogeneity are incorporated.•Reliability and CBM models are formulated.•Optimal maintenance policy is obtained under performance-based contracting.•Applicability of the models is demonstrated through a numerical study.
Performance-based contracting motivates service providers to implement effective maintenance policies so as to boost profits and improve system performance at a lower cost. This paper deals with reliability and condition-based maintenance modeling for single-unit systems operating under performance-based contracting. For a system subject to degradation and sudden shocks, there involves three states: normal, degraded and failed. Once entered into the degraded state, the system deteriorates faster and becomes more susceptible to shocks. The degradation conforms to a two-stage inverse Gaussian process with random effects characterizing unit-specific heterogeneity in the population. Furthermore, the arrival of sudden shocks follows a doubly stochastic Poisson process. A reliability model is developed based on degradation-based and shock-based failures modeling. Afterwards, the long-run maintenance cost rate and the average system availability are evaluated. Optimal inspection-based preventive replacement policy is obtained by maximizing the expected profit rate to the service provider. Finally, a numerical example along with sensitivity analysis of model parameters is presented to demonstrate the applicability and solution procedure of the proposed models. |
| ArticleNumber | 106344 |
| Author | Liu, Yiliu Li, Xiaopeng Chen, Junyan Wang, Yukun |
| Author_xml | – sequence: 1 givenname: Yukun orcidid: 0000-0003-0318-2471 surname: Wang fullname: Wang, Yukun email: yukunwang89@gmail.com organization: School of Economics and Management, Tianjin Chengjian University, Tianjin, China – sequence: 2 givenname: Yiliu orcidid: 0000-0002-0612-2231 surname: Liu fullname: Liu, Yiliu organization: Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway – sequence: 3 givenname: Junyan surname: Chen fullname: Chen, Junyan organization: School of Economics and Management, Tianjin Chengjian University, Tianjin, China – sequence: 4 givenname: Xiaopeng surname: Li fullname: Li, Xiaopeng organization: School of Management Science and Engineering, Nanjing University of Finance & Economics, Nanjing, China |
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