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

Xiaomeng Chang, Janis Terpenny

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)863-870
Number of pages8
JournalRobotics and Computer-Integrated Manufacturing
Issue number6
StatePublished - Dec 2009

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mathematics(all)
  • Computer Science Applications
  • Industrial and Manufacturing Engineering


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