Bøger af Asko Riitahuhta

1 Introduction.- Views and Experiences of Configuration Management.- Workshop Structure and Comments from Discussion.- 2 Part I: Analysis of Customers, Markets and Technology.- Record from 1st Group Work.- Even Modular Products can be Unmanageable.- Structured Sales Process for Configuration.- Visualizing Interdependencies in Technical Design.- 3 Part 11: Development of Product Portfolios and Module Systems.- Record from 2nd Group Work.- Product Structuring for Design Re-use.- Capturing Quality Perceptions in the Design Rational of a Modular Product Concept.- Relating Product and Process Structures.- 4 Part III: Metrics and Methods for Modularity and Configurability.- Record from 3rd Group Work.- Modularisation by Relational Matrices - a Method for the Consideration of Strategic and Functional Aspects.- Enhancing Product Modularisation with Multiple Views of Decomposition and Clustering.- A Framework for Evaluating Commonality.- 5 Part IV: Supporting Modeling and IT-Tools.- Conclusions and Discussion for Further Research.- Preservation of Engineering Knowledge in Configuration Systems.- Report on Using Product Data Management Software in Managing Modular Products.- ValueMap(TM) - a Method for Understanding the Economical Potential of Product Modularization and Cost of Variety.

Designing is one of the most significant of human acts. Surprisingly, given that designing has been occurring for many millenia, our understanding of the processes of designing is remarkably limited. Recently, design methods have been formalised not as humano-centred processes but as processes capable of computer implementation with the goal of augmenting human designers. This volume contains contributions which cover design methods based on evolutionary systems, generative processes, evaluation methods and analysis methods. It presents the state of the art in formal design methods for computer aided design.

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 "e;artificial"e; 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.