Maintenance processes modelling and optimisation
A Maintenance Procedure is conducted in order to prevent the failure of a system or to restore the functionality of a failed system. Such a procedure consists of a series of tasks, each of which has a distribution of times to complete and a probability of being performed incorrectly. The inclusion o...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2017
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/41160/ |
| _version_ | 1848796210807177216 |
|---|---|
| author | Zhang, Yang Andrews, John Reed, Sean Karlberg, Magnus |
| author_facet | Zhang, Yang Andrews, John Reed, Sean Karlberg, Magnus |
| author_sort | Zhang, Yang |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | A Maintenance Procedure is conducted in order to prevent the failure of a system or to restore the functionality of a failed system. Such a procedure consists of a series of tasks, each of which has a distribution of times to complete and a probability of being performed incorrectly. The inclusion of tests can be used to identify any maintenance errors which have occurred. When an error is identified it can be addressed through a corresponding correction sequence which will have associated costs and add to the maintenance process completion time. A modified FMEA approach has been used to identify the possible tests. By incorporating any selection of tests into the maintenance process it can then analysed using a discrete-event simulation to predict the expected completion time distribution. The choice of tests to perform and when to do them is then made to successfully complete the maintenance objective in the shortest possible time using a genetic algorithm. The methodology is demonstrated by applying it to the repair process for a car braking system. The developed method is suitable for application in abroad range of industries. |
| first_indexed | 2025-11-14T19:44:22Z |
| format | Article |
| id | nottingham-41160 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:44:22Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-411602020-05-04T18:33:30Z https://eprints.nottingham.ac.uk/41160/ Maintenance processes modelling and optimisation Zhang, Yang Andrews, John Reed, Sean Karlberg, Magnus A Maintenance Procedure is conducted in order to prevent the failure of a system or to restore the functionality of a failed system. Such a procedure consists of a series of tasks, each of which has a distribution of times to complete and a probability of being performed incorrectly. The inclusion of tests can be used to identify any maintenance errors which have occurred. When an error is identified it can be addressed through a corresponding correction sequence which will have associated costs and add to the maintenance process completion time. A modified FMEA approach has been used to identify the possible tests. By incorporating any selection of tests into the maintenance process it can then analysed using a discrete-event simulation to predict the expected completion time distribution. The choice of tests to perform and when to do them is then made to successfully complete the maintenance objective in the shortest possible time using a genetic algorithm. The methodology is demonstrated by applying it to the repair process for a car braking system. The developed method is suitable for application in abroad range of industries. Elsevier 2017-02-27 Article PeerReviewed Zhang, Yang, Andrews, John, Reed, Sean and Karlberg, Magnus (2017) Maintenance processes modelling and optimisation. Reliability Engineering and System Safety . ISSN 0951-8320 Maintenance; Optimisation; Failure mode and effect analysis; Discrete-event simulation; Genetic algorithm; System availability http://www.sciencedirect.com/science/article/pii/S0951832016306342 doi:10.1016/j.ress.2017.02.011 doi:10.1016/j.ress.2017.02.011 |
| spellingShingle | Maintenance; Optimisation; Failure mode and effect analysis; Discrete-event simulation; Genetic algorithm; System availability Zhang, Yang Andrews, John Reed, Sean Karlberg, Magnus Maintenance processes modelling and optimisation |
| title | Maintenance processes modelling and optimisation |
| title_full | Maintenance processes modelling and optimisation |
| title_fullStr | Maintenance processes modelling and optimisation |
| title_full_unstemmed | Maintenance processes modelling and optimisation |
| title_short | Maintenance processes modelling and optimisation |
| title_sort | maintenance processes modelling and optimisation |
| topic | Maintenance; Optimisation; Failure mode and effect analysis; Discrete-event simulation; Genetic algorithm; System availability |
| url | https://eprints.nottingham.ac.uk/41160/ https://eprints.nottingham.ac.uk/41160/ https://eprints.nottingham.ac.uk/41160/ |