Heuristic optimisation for multi-asset intervention planning in a petrochemical plant
View / Open Files
Publication Date
2018Journal Title
Procedia Manufacturing
Conference Name
7th International Conference on Through-life Engineering Services
ISSN
2351-9789
Publisher
Elsevier BV
Volume
16
Pages
208-214
Type
Conference Object
Metadata
Show full item recordCitation
Petchrompo, S., & Parlikad, A. (2018). Heuristic optimisation for multi-asset intervention planning in a petrochemical plant. Procedia Manufacturing, 16 208-214. https://doi.org/10.1016/j.promfg.2018.10.153
Abstract
Large infrastructure assets commonly require high intervention costs, but the absence of an effective asset management plan can bring about a massive production loss for a company. Hence, managing these assets is considered a daunting task and is even more complicated if these assets operate collectively to produce an output. This paper explores a pragmatic approach to a multi-asset intervention scheduling problem through a case study of a vessel fleet in a petrochemical plant. After the relationship between the
asset configuration and the system output is defined, an optimisation model with an objective to jointly minimise cost and risk is developed. Since the calculation of risk profiles across the fleet requires complex non-linear functions, a genetic algorithm is employed to search for an optimal combination of intervention schedules. Compared to the current run-to-failure strategy, the optimal strategy results in a significant reduction in system failure risk and a substantial improvement in long-term fleet conditions while reducing the total cost.
Identifiers
External DOI: https://doi.org/10.1016/j.promfg.2018.10.153
This record's URL: https://www.repository.cam.ac.uk/handle/1810/279601
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.