Risk-Based Maintenance Scheduling with application to naval vessels and ships

Abstract

Maintenance scheduling for naval vessels and ships requires ongoing improvement to manage rising maintenance costs within availability constraints. Existing maintenance scheduling approaches are not optimal as maintenance costs continue to rise without an improvement in vessel availability. This paper reviews the Risk-Based Maintenance Scheduling (RBM) framework as applied to ships and naval vessels, and provides a critical analysis of Risk Assessment and Maintenance Scheduling techniques used. Further, objectives and considerations are defined for future applications for ships and naval vessels, and the framework evaluated as an improvement on existing Preventative Maintenance (PM) and Reliability Centered Maintenance (RCM) methods. A probabilistic approach supported by condition monitoring data in combination with Decision Theory is suggested for the Risk Assessment and Maintenance Scheduling elements comprising an RBM Scheduling framework. Implementation of this framework from both periodic PM and RCM is presented. Development of applications from the component level upwards is suggested. Availability and overall maintenance cost are suggested as evaluation metrics against existing methods. The development of an application is formalized within a proposed framework. The development of an application within the RBM Scheduling framework is expected to result in reduced maintenance costs while meeting availability requirements for ship and naval vessel applications.

An overview of maintenance management strategies for corroded steel structures in extreme marine environments

“…For this reason, PM sometimes results in unnecessary machinery downtime, excessive repair costs and maintenance-induced failures [20,21]. Some researchers reported that conducting time-based PM actions may lead to misjudgement about the equipment's health condition as the rate of usage may not be constant over time [22].…”

“…RBI is becoming a popular maintenance strategy in the marine sector, in particular for ship's hull and structures. Cullum et al [22] proposed an RBI scheduling framework for naval vessels and ships and concluded that shifting from RCM strategy to RBI is more convenient than shafting from PM or CBM to RBI. Dong and Frangopol [80,81] proposed quantitative risk assessment (QRA) models for ship structures subject to corrosion and fatigue.…”

Probabilistic investigations into the value of information: A comparison of condition-based and time-based maintenance strategies

“…To avoid significant failure consequences, preventive maintenance planning approaches have been developed, based on metrics such as service age (time), reliability, risk, damage condition, etc. Timebased maintenance (TBM) is a classical preventive maintenance approach and widely applied in engineering practices due to its simplicity in decision-making and implementation (Cullum et al 2018).…”

“…While some theoretical algorithms for Value of Information (VoI) analysis have been proposed in civil and structural engineering (Sebastian 2018, Malings and Pozzi 2018, Konakli, Sudret, and Faber 2015, the concept has rarely been applied in the context of marine engineering. There is a lack of research on a direct comparison of CBM and TBM maintenance strategies, and on where the VoI comes from, both of which are worthy topics for a marine engineering field currently dominated by TBM (Cullum et al 2018). This paper aims to contribute to developing maintenance planning and VoI assessment for marine structures by comparative studies of TBM and CBM strategies, both of which are optimized for maximizing lifetime fatigue reliability taking probabilistic modelling of fatigue deterioration and expected maintenance costs into account.…”

Maintenance optimization for marine mechanical systems

“…Cullum et al 19 argue that the vessel maintenance costs are on the rise as a result of non-optimality in the existing maintenance scheduling approaches for MV. A probabilistic approach was used with the available condition monitoring data to justify the availability and overall maintenance cost of maintenance scheduling for MV.…”