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MODEL-BASED CONSISTENCY FOR DESIGN FOR VARIETY AND MODULARIZATION

Michael Hanna, Lea-Nadine Schwede, Dieter Krause

Year
2018
Citations
11

Abstract

© 2018 Lehrstuhl für Produktentwicklung und Leichtbau. Methods for developing modular product families contain a lot of information and data that are not always consistent. Consistent data modeling enables simple changes across all affected tools while developing modular product families. Redundant information can be identified and eliminated, and networking between different data is enabled. Inconsistency in variant management is analyzed and addressed with a data model that supports consistency at different hierarchical levels. The data model is modeled with the Cameo Systems Modeler in SysML and is used in a case study for a Design for Variety and modularization with DSM on a vacuum cleaner robot.

Keywords

Modular programmingModular designConsistency (knowledge bases)Variety (cybernetics)Computer scienceSystems Modeling LanguageProduct (mathematics)Software engineeringSystems engineeringData mining

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