Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
Sales Configuration in Business Processes
IEEE Intelligent Systems
Constraint Technology and the Commercial World
IEEE Intelligent Systems
Knowledge-Based Configuration: Survey and Future Directions
XPS '99 Proceedings of the 5th Biannual German Conference on Knowledge-Based Systems: Knowledge-Based Systems - Survey and Future Directions
An overview of knowledge‐based configuration
AI Communications
A customizable approach to full lifecycle variability management
Science of Computer Programming - Special issue: Software variability management
Integrating time constraints into constraint-based configuration models
INAP'04/WLP'04 Proceedings of the 15th international conference on Applications of Declarative Programming and Knowledge Management, and 18th international conference on Workshop on Logic Programming
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Configuration processes in industry are complex and until now have been time-consuming and costly, even though computers are sometimes used. Furthermore, the configuration found is seldom an optimal or near-optimal solution. We developed a constraint-based system for expert driven configuration that yields good solutions in fairly quickly time depending on the information and the expert knowledge available. We have now extended this approach to deal with large systems consisting of hundred or thousands of components. We describe methods to limit memory-consuming processes and provide results for benchmark problems.