Ontology-based data integration and decision support for product e-Design

Authors:
Xiaomeng Chang;Janis Terpenny
Affiliations:
Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA;Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA and Department of Engineering Education, Virginia Tech, Blacksburg, VA 24061, USA and Department of Mecha ...
Venue:
Robotics and Computer-Integrated Manufacturing
Year:
2009

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Abstract

Currently, computer-based support tools are widely used to facilitate the design process and have the potential to reduce design time, decrease product cost and enhance product quality. Although there are promising information systems to manage product lifecycle and product-related data, including product data management (PDM) and product lifecycle management (PLM), significant limitations still exist, where information required to make decisions may not be available, may be lacking consistency, and may not be expressed in a general way for sharing between systems. Moreover, there remains little support for decision making that considers multiple complex technical and economical criteria, relations, and objectives in product design. To address these problems, this paper presents a framework for an ontology-based data integration and decision support environment for e-Design. The framework can guide designers in the design process, can make recommendations, and can provide decision support for parameter adjustments.