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Maintenance scheduling for Multi-unit systeM : a stochastic Petri-net and genetic algorithM based aPProach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Tao Cheng, Zhijun Liu, Ya-Jie Guo, Bo Zhang |
| Copyright Year | 2012 |
| Abstract | Frequent maintenance activities would cause low system availability and require large sums of money. For a multi-unit system, maintenance activities of some units can be combined together to reduce the total maintenance possession time and cost. Therefore, an optimized timetable of the maintenance activities is needed to be planned. Considering the uncertainties in both the deterioration and maintenance process of the units in a system, this paper advances a stochastic Petri-net based simulation optimization model for maintenance scheduling. The genetic algorithm is used to get the solution of the timetable of the maintenance activity schedule such that the overall cost is minimized in a planning horizon taking into account total maintenance possession time, unit condition, life cycle loss and solution feasibility. Some techniques used to reduce the computational effort required to perform the analysis are also described. A case study is given in the end. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ein.org.pl/sites/default/files/2012-03-12.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |