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Titlebook: Computer-Aided Innovation (CAI); IFIP 20th World Comp Gaetano Cascini Conference proceedings 2008 IFIP International Federation for Informa

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楼主: Menthol
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https://doi.org/10.1007/978-3-319-60005-5ent, it is necessary to score each configuration based on a series of metrics that measure issues relevant to and affecting deployment. This paper presents a method by which global geographic issues may be effectively characterized in order to accurately represent their role in and influence on the product development process prior to deployment.
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,The Apparatus for Turning out “Oscarisms”,ntology in particular. Future development of ALIS will involve expanding its ontology to also include law and trademark law. Once these three legal ontologies are in place, they will be consolidated into a single ontology that will provide the framework for a general IP ontology.
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Comparison of non solvable problem solving principles issued from CSP and TRIZ improve problem solving strategy for the inventive problems by matching the CSP and TRIZ solving principles. We consider that it will contribute to better understanding of non-solvable problems, i.e. to improve representation models of the problems and to make the problem solving more accurately.
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Virtual Product Development Models: Characterization of Global Geographic Issuesent, it is necessary to score each configuration based on a series of metrics that measure issues relevant to and affecting deployment. This paper presents a method by which global geographic issues may be effectively characterized in order to accurately represent their role in and influence on the product development process prior to deployment.
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Development of the ALIS IP Ontology: Merging Legal and Technical Perspectivesntology in particular. Future development of ALIS will involve expanding its ontology to also include law and trademark law. Once these three legal ontologies are in place, they will be consolidated into a single ontology that will provide the framework for a general IP ontology.
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1868-4238 cation.The contributors in this volume are world-renowned exComputer-Aided Innovation (CAI) is emerging as a strategic domain of research and application to support enterprises throughout the overall innovation process. The 5.4 Working Group of IFIP aims at defining the scientific foundation of Comp
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https://doi.org/10.1007/978-3-030-70424-7ive solutions only inside their technological product space, basically thinking accordingly to their commonly assessed know-how. In this paper an industrial case is analyzed, showing how TRIZ methodology offers to technicians a systematic way to solve problematic contradictions and find effective ideas.
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