Paper Info
Title
Meta-framework for semantic TRIZ
Abstract
In the manufacturing industry, SCM (Supply Chain Management) is playing an important role which gives profit to enterprise. Extracting innovative design considerations for a product from the information infrastructure requires large knowledge base and solutions to technical and physical contradictions. Construction of information infrastructure with the integration of four designs attributes: component cost, quality, function and technology, innovation can be enhanced. Information which is useful to improve the existing products and development of a new product can be acquired from the database and from the ontology. The TRIZ (Theory of Inventive Problem Solving) supports designers for innovative product design by searching from a knowledge base. The existing TRIZ ontology support innovative design of a product. But it is considering about a specific product (flashlight) for TRIZ ontology. Our final goal is to construct meta-TRIZ ontology that can be applied to multiple products. To achieve this goal, we try to apply the semantic TRIZ to another product; multifunction fan (Smart Fan), as an interim stage towards meta-ontology. This may open up new possibilities to innovative product designs with multifunction.
Year
DOI
Venue
2014
10.1109/INDCOMP.2014.7011740
Independent Computing
Keywords
DocType
Citations 
manufacturing industries,ontologies (artificial intelligence),problem solving,production engineering computing,supply chain management,SCM,innovative product design,manufacturing industry,meta-TRIZ ontology,meta-framework,product innovative design,semantic TRIZ,supply chain management,theory of inventive problem solving,Inventive Problem Solving,Ontology,Semantic Web,Supply Chain Management,TRIZ
Conference
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Koswatte R. C. Koswatte1163.11
Incheon Paik224138.80
Banage T. G. S. Kumara311.70