Keys to the successful development of an AI-based tool for life-cycle design1991

Artificial Intelligence has raised engineers expectations for a powerful tool to aid in engineering design, particularly for one that incorporates life-cycle issues such as manufacturability and serviceability. However, many experimental AI tools have not succeeded in the actual product design environment. This paper documents our experiences in implementing AI-based tools for life-cycle engineering. The paper traces the development of DAISIE (Designers' Aid for Simultaneous Engineering), a framework for computer programs that evaluate the compatibility of a candidate design with various life-cycle requirements, e.g., assembly, molding, etc. The initial programs were useful in some aspects, but received overwhelming criticisms in their long term practical utility. The paper identifies the several essential keys to a successful development of truly useful design tools. We conclude that an AI tool is a product in itself and warrants a careful marketing effort, i.e., identification of its role, clarification of customer requirements, and timing of its development.

– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications

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10.1016/B978-0-7506-1188-6.50033-8

The DAISIE (Designers’ Aid for Simultaneous Engineering) as discussed by the authors is a framework for computer programs that evaluate the compatibility of a candidate design with various life-cycle requirements, e.g., assembly, molding, etc.

– The paper discusses the development of an AI-based tool for life-cycle engineering.
– The paper emphasizes the importance of marketing and customer requirements for AI tools.

– AI tool is a product and requires marketing effort
– Identification of role, customer requirements, and timing

– Development of DAISIE, a framework for AI-based tools for life-cycle engineering.
– Identification of essential keys to successful development of design tools.

The paper discusses the development of AI-based tools for life-cycle engineering, specifically focusing on the development of DAISIE (Designers’ Aid for Simultaneous Engineering). It highlights the challenges and keys to successful development of such tools.

– AI tools for life-cycle engineering require careful marketing efforts.
– Identification of role, customer requirements, and timing are essential.

– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.

– The paper reviews existing AI technology and its potential applications in manufacturing systems.
– The paper discusses tools and techniques of AI relevant to the manufacturing environment.

– AI tools for life-cycle engineering have not succeeded
– Development of truly useful design tools requires careful marketing effort