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Content available remote Knowledge Acquisition Process for a Generative Model Development
EN
Knowledge engineering becomes more frequently seen in engineering practice. The possibility of developing an application which is able to increase speed and quality of for example designers’ work is invaluable useful. The main task of Knowledge Based Engineering (KBE) is providing new and intelligent applications to support routine engineering work tasks. To prepare such kind of application it is necessary to go through the procedure of knowledge acquisition and knowledge postprocessing. This process requires a lot of a knowledge engineer work and experience. In this paper authors shown the main things related to knowledge acquisition process in the context of a Generative Model development. Additionally, some new approach to knowledge storage with Microsoft Excel is presented.
EN
The paper presents possibilities of improving design and manufacturing preparation processes of configurable (variant) products in scope of realization of mass customization strategy. Knowledge based engineering tools are presented as a base for building systems for automation of design and manufacturing preparation. Methodologies of building KBE systems are presented and described, authors’ own methodology is presented along with selected cases of its use. It is proven that reduction of time needed for design and manufacturing preparation can be vast, justifying use of KBE systems as a way of manufacturing optimization of configurable products.
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