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D4.2 Data Quality and Criticality Assessment

D4.2 Data Quality and Criticality Assessment

EXECUTIVE SUMMARY

 SHIPLYS is an EU funded project under the H2020 Research and Innovation programme that will provide an innovative ship design tool to be used by European SMEs in the ship industry. The tool will offer integrated modelling along with life cycle approaches to evaluate further and compare early  ship designs. It will provide to its users the necessary tools for Life Cycle Cost Analysis (LCCA), environmental assessments, risk assessments and end-of-life considerations.

One of the key tasks of the project is the collection of the necessary data that will be required for the rapid virtual prototyping and life cycle tools to provide safe estimations and easily comparable results. The process of data collection was part of “T4.1 Collect data required for SHIPLYS rapid virtual prototyping and life cycle tools”.

Additionally, in Task 4.2 “Data analyses to determine its quality and its criticality regarding its impact on the outcomes” a number of approaches have been developed to evaluate the selected data. These approaches will aim to determine confidence in existing data, appropriate ways of factoring in uncertainty, identification of low confidence but high impact data and finally, methodologies performing a Sensitivity Analysis to key inputs in the various phases of the ship design process and life cycle estimations will be investigated.

Deliverable D4.2 presents the approaches above, offering a detailed description of the methodology for the evaluation of the selected data, and the assessment of their quality and criticality. Furthermore, the challenges in acquiring adequate and qualitative data are presented, along with the process of collecting data within the project. The development of various methodologies for gaining confidence in existing data, quantify and deal with uncertainty, and performing a Sensitivity Analysis to key inputs in the various phases of the ship design process and life cycle estimations are also described.

For SMEs to be able to validate and compare different ship designs and present an optimal proposal at an early bidding phase, the data used must provide certain reliability. To this end, the importance of qualitative data and the development of a complete database used by the SHIPLYS tools is highlighted.

Finally, a glimpse of the SHIPLYS Life Cycle Tool has been demonstrated, by presenting the Sensitivity Analysis approach that will be implemented in the LCT software, developed in WP5 of the SHIPLYS project.

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