A Case Study on the Replacement Policy for a Pan System of Sugar Industry
- Resource Type
- Conference
- Authors
- Truong-Ba, Huy; Cholette, Michael E.; Ma, Lin; Kent, Geoff
- Source
- 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2019 IEEE International Conference on. :1188-1192 Dec, 2019
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Nuclear Engineering
Robotics and Control Systems
Signal Processing and Analysis
Transportation
maintenance optimization
condition-based maintenance
approximation MDP
- Language
- ISSN
- 2157-362X
In sugar production, the vacuum pans used for crystallisation constitute one of most important systems and replacement costs are a significant capital expenditure. The maintenance strategy for pans is currently conducted on a time-based approach. This paper proposes a condition-based maintenance (CBM) model for pans, which is applied to a real multi-component pan operating in an Australian sugar mill. The maintenance policy is formulated as a Markov Decision Process (MDP) and solved via approximate dynamic programming. The results show a 10% saving on total maintenance costs compared to the time-based maintenance strategy.