Abstract
In configuration design, the task is to compose a system out of a set of predefined, modu-lar building blocks assembled by defined interfaces. Product configuration systems, both with or without integration of geometric models, implement reasoning techniques to model and explore the resulting solution spaces. Among others, the formulation of constraint satisfaction problems (CSP) is state of the art and the informational background in many proprietary configuration engine software packages. Basically, configuration design tasks can also be implemented in modern computer aided design (CAD) systems as these contain different techniques for knowledge-based product modeling but literature reports only little about detailed application examples, best practices or training materials. This article aims at bridging this gap and presents a step-by-step implementation guide for CSP-based CAD configurators for combinatorial designs with the example of Autodesk Inventor.
| Original language | English |
|---|---|
| Article number | 318 |
| Journal | Algorithms |
| Volume | 15 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 6 Sept 2022 |
Keywords
- computer aided design
- constraint satisfaction problems
- knowledge-based engineering
- product configurators
- solution space modeling
ASJC Scopus subject areas
- Theoretical Computer Science
- Numerical Analysis
- Computational Theory and Mathematics
- Computational Mathematics
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