Paauw, J.J.; Grima, M.A.; Peters, J.D.P.A.; De Boom, M.; Claessens, S.; van Dijk, J.C. (2009). Towards an LCC approach in the dredging industry, in: CEDA Dredging Days 2009 - Dredging Tools for the Future. pp. 7
In: (2009). CEDA Dredging Days 2009 - Dredging Tools for the Future. Central Dredging Association: Delft. ISBN 978-90-809883-3-0. , meer
Nowadays there are very high demands with regards to dredging capacity. One approach to meet these demands is by creating extra capacity; another way is by optimising the exploitation of the current dredging fleet capacity. This article focuses on the latter strategy. Prior to an offer, the total expenditure for that particular project is determined. To determine the turnover of a project, an estimate is made of the boxed times/m(3), which is highly dependent on the operational expenditures of the project. The operational expenditures can roughly be classified in production and maintenance costs. Production costs are the costs due to the production system being in operation, like fuel and personnel costs. Maintenance costs are mainly made due to wear of the components in the dredging system and the transition from the operating state to the down state. To reduce maintenance costs and to optimise the availability of a dredger, it is necessary to move from a corrective maintenance strategy to a preventive maintenance strategy. To determine when maintenance is necessary one needs to know how and when the dredging equipment fails. This can be done by collecting real-time data from the field using a Condition Based Maintenance (CBM) system, designed by IHC Merwede and DEME. Besides real-time data, the necessary manual input is mainly gathered by inspection plans also set up by IHC Merwede in close cooperation with DEME. The CBM system monitors the actual condition of the dredging equipment, including pumps, cutters, pipes and valves on board. One of the key factors that determine maintenance costs of dredging equipment is wear caused by the transported slurry. MTI Holland has developed wear prediction models to estimate the lifetime of pipes and pumps. These models will be implemented into the CBM system. However, not all the components of the dredging system can be predicted by the current analytical models of MTI. To determine the other failures on board, all maintenance tasks can be registered in the CBM system. This enables the determination of the condition of these components. Using this information MTI Holland and DEME will develop new models based on analytical and statistical principles. By knowing the condition of these components at all times, it is possible to plan the correct maintenance tasks and provide the dredger with the necessary spare parts when they are required. This article highlights techniques to collect and analyse failure data. These data can be used to determine the lifecycle costs (LCC) and finally can be used to improve planning of maintenance and inventory control to improve the production availability and simultaneously reduce LCC; ultimately leading to an improvement in economical feasibility of dredging projects.
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