PDEng Project: Design of predictive maintenance concepts for maritime assets at the University of Twente

In the maritime sector, service logistics support and maintenance of systems constitute a significant fraction of the exploitation costs. This is on the one hand due to the complexity and high capital value of the assets used in this sector and on the other hand due to the highly variable and mostly severe operating conditions encountered by ships and their subsystems. Moreover, since these assets are often operated at remote locations around the world, unplanned maintenance requires significant logistic effort and hence is very costly. This reveals that an important reason for the high costs for service logistics in the maritime sector is the uncertainty in demand.

The project “Integrated Maintenance and Service Logistics Concepts for Maritime Assets” (MaSeLMa) focuses on developing innovative concepts to improve the predictability of maintenance and service logistics demand on the one hand, and developing smart concepts of service logistics optimization, supply chain coordination and cooperation on the other hand. Research is organized in three work packages. The first WP aims to increase the predictability of maintenance (i.e. prevent failures / reduce unnecessary maintenance). For this WP a PDEng candidate is sought, for which the project description is given below. WPs 2 and 3 focus on service logistics planning and supply chain coordination, respectively.

The objective of the present PDEng project is to design and validate a predictive maintenance tool for a maritime propulsion system, based on modeling the physical failure mechanisms and applying the monitored variation in loads and usage.

Deadline Application: 01-05-2016

Further details:
PDEng Project: Design of predictive maintenance concepts for maritime assets at the University of Twente