Validation and Quality Control of Design and Production Information – Applying Rule Based Data Mining and Business Intelligence Concepts to Engineering
Thomas Koch, Atlantec Enterprise Solutions GmbH, Hamburg, Germany
Design and production preparation tasks for ships and offshore structures generate large sets of data providing every detail needed for planning, procurement, and production. Many different participants and systems are involved in this very dynamic process with high modification rates. There is a constant risk of errors being introduced.
We describe how a combination of state-of-the-art data retrieval and rule-based analysis techniques to validate engineering design and production data has been employed to reduce the risk of costly errors often uncovered very late in the production process. A rule based approach helps to protect customer know-how and provides a high degree of flexibility and sophistication.