@article{Acomi_Belev_Chervinskyi_Acomi_2026,
	author = {Acomi, Ovidiu and Belev, Blagovest and Chervinskyi, Mykyta and Acomi, Nicoleta},
	title = {A Risk-based Method for Selecting Ship Machinery Maintenance Strategies},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {20},
	number = {3},
	pages = {569-583},
	year = {2026},
	url = {./Article_A_Risk-based_Method_for_Selecting_Acomi,79,1685.html},
	abstract = {Ship machinery maintenance must balance safety, reliability, availability, regulatory compliance and cost under operational constraints and frequently incomplete data. Conventional approaches based on fixed maintenance intervals, corrective intervention or isolated condition monitoring remain necessary, but they do not provide a consistent basis for selecting among alternative maintenance strategies when failure likelihood, consequence severity, equipment condition, uncertainty, feasibility and cost interact. This paper proposes an integrated risk-based method for selecting maintenance strategies at machinery, component and failure-mode level. Failure-mode analysis, reliability and conditional probability assessment, condition evidence, consequence assessment, risk classification and uncertainty treatment provide structured inputs to a Maintenance Decision Engine. Candidate strategies - including corrective, time-based preventive, condition-based, predictive, risk-based, opportunity and deferred maintenance -are first screened against statutory, classification, manufacturer, safety and technical constraints. Only admissible alternatives proceed to multi-criteria ranking using the Technique for Order Preference by Similarity to Ideal Solution. The ranking considers expected risk reduction, technical suitability, reliability and availability contribution, implementation feasibility, expected total cost, and evidence confidence. Ranking margins and sensitivity analysis are used to assess robustness, while post-ranking engineering review confirms, modifies or overrides the numerical recommendation according to condition, risk urgency, redundancy and operational feasibility. The selected strategy is then converted into a traceable maintenance action and recorded through the planned or computerised maintenance management system. The principal contribution is the integration of established engineering methods within a constrained, transparent and auditable maintenance decision process.},
	doi = {10.12716/1001.20.03.05},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Risk Assessment, Marine Engineering, Operational Efficiency, Reliability, Methods and Algorithms, Ship Maintenance, Decision Support Systems, Maintenance Strategies}
}