Abstract
Product-process design in product development creates a design entity in accordance with the market-related, functional, technical, manufacturing, ergonomic and aesthetic requirements. It is a very complex process involving many sophisticated procedures, and requires a team of designers and engineers with different aspects of knowledge and experience to work together. In recent years, computer-aided design and manufacturing (CAD/CAM) and product data management (PDM) and their integration have been the focal research areas in advancing design and manufacturing automation. Many CAD systems have incorporated some of the functional requirements necessary to support integrated design, e.g., direct interface to analytical, parametric feature-based design or CAM (such as Pro/Engineer and CADDS), and other design techniques. However, most of existing CAD systems still adopt the traditional design methods with various design activities being carried out sequentially. The integration of the design activities and product life cycle issues have not yet been taken into account sufficiently and intelligently. The sequential and non-intelligent approaches are costly, tedious, and could not help in optimizing the product-process design. They are also used relatively late in the design process, in general, during the detailed design phase, and no intelligent and collaborative actions between designers or participants are supported.
This work conducted by the author during his tenure at Nanyang Technological University and Institute of Manufacturing Technology, Singapore.
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Zha, X.F. (2005). Artificial Intelligence and Integrated Intelligent Systems in Product Design and Development. In: Leondes, C.T. (eds) Intelligent Knowledge-Based Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4020-7829-3_32
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