International Journal of Human-Computer Studies - Special issue: the Sisyphus-VT initiative
A Generative Constraint Formalism for Configuration Problems
AI*IA '93 Proceedings of the Third Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
A systematic search strategy for product configuration
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
An overview of knowledge‐based configuration
AI Communications
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To stay competitive, many manufacturers have to adapt their business models to mass customisation, which enables customers to order customised products tailored to their specific needs. One of the key enabling technologies for the successful implementation of mass customisation is the product configurator, a software tool that automatically generates the customised product designs based on the customer requirements and design constraints. A constraint-based product configurator has advantages of flexibility and generality in product modelling and problem solving. Its ability to deal with discrete constraints has been well studied. However, the requirement for handling numeric constraints expressed as mathematical formulas posts a new challenge. This paper proposes a constraint model for n-ary numeric constraints and effective search algorithms. It also presents a system design approach on modelling domain-specific product knowledge, integrating the domain-specific product models into generic search algorithms and presenting configuration results to the end users.