Integration Of Process Knowledge Into Design Support Systems
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Integration of Process Knowledge into Design Support Systems
Author: Hubert Kals
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-04-17
Design is a fundamental creative human activity. This certainly applies to the design of artefacts, the realisation of which has to meet many constraints and ever raising criteria. The world in which we live today, is enormously influenced by the human race. Over the last century, these artefacts have dramatically changed the living conditions of humans. The present wealth in very large parts of the world, depends on it. All the ideas for better and new artefacts brought forward by humans have gone through the minds of designers, who have turned them into feasible concepts and subsequently transformed them into realistic product models. The designers have been, still are, and will remain the leading 'change agents' in the physical world. Manufacturability of artefacts has always played a significant role in design. In pre industrial manufacturing, the blacksmith held the many design and realisation aspects of a product in one hand. The synthesis of the design and manufacturing aspects took, almost implicitly, place in the head of the man. All the knowledge and the skills were stored in one person. Education and training took place along the line of many years of apprenticeship. When the production volumes increased, -'assembling to measure' was no longer tolerated and production efficiency became essential - design, process planning, production planning and fabrication became separated concerns. The designers created their own world, separated from the production world. They argued that restrictions in the freedom of designing would badly influence their creativity in design.
From Knowledge Intensive CAD to Knowledge Intensive Engineering
IFIP Working Group 5.2 has organized a series of workshops extending the concept of intelligent CAD to the concept of "knowledge intensive engineering". The concept advocates that intensive life-cycle knowledge regarding products and design processes must be incorporated in the center of the CAD architecture. It focuses on the systematization and sharing of knowledge across the life-cycle stages and organizational boundaries. From Knowledge Intensive CAD to Knowledge Intensive Engineering comprises the Proceedings of the Fourth Workshop on Knowledge Intensive CAD, which was sponsored by the International Federation for Information Processing (IFIP) and held in Parma, Italy in May 2000. This workshop looked at the evolution of knowledge intensive design for the product life cycle moving towards knowledge intensive engineering. The 18 selected papers present an overview of the state-of-the-art in knowledge intensive engineering, discussing theoretical aspects and also practical systems and experiences gained in this area. An invited speaker paper is also included, discussing the role of knowledge in product and process innovation and technology for processing semantic knowledge. Main issues discussed in the book are: Architectures for knowledge intensive CAD; Tools for knowledge intensive CAD; Methodologies for knowledge intensive CAD; Implementation of knowledge intensive CAD; Applications of knowledge intensive CAD; Evolution of knowledge intensive design for the life-cycle; Formal methods. The volume is essential reading for researchers, graduate and postgraduate students, systems developers of advanced computer-aided design and manufacturing systems, and engineers involved in industrial applications.
Artificial Intelligence in Design ’02
Author: Asko Riitahuhta
language: en
Publisher: Springer Science & Business Media
Release Date: 2002-07-31
One of the foundations for change in our society comes from designing. Its genesis is the notion that the world around us either is unsuited to our needs or can be improved. The need for designing is driven by a society's view that it can improve or add value to human existence well beyond simple subsistence. As a consequence of designing the world which we inhabit is increasingly a designed rather than a naturally occurring one. In that sense it is an "artificial" world. Designing is a fundamental precursor to manufacturing, fabrication, construction or implementation. Design research aims to develop an understanding of designing and to produce models of designing that can be used to aid designing. Artificial intelligence has provided an environmental paradigm within which design research based on computational constructions, can be carried out. Design research can be carried out in variety of ways. It can be viewed as largely an empirical endeavour in which experiments are designed and executed in order to test some hypothesis about some design phenomenon or design behaviour. This is the approach adopted in cognitive science. It often manifests itself through the use of protocol studies of designers. The results of such research form the basis of a computational model. A second view is that design research can be carried out by positing axioms and then deriving consequences from them.