Expert systems for configuration at Digital: XCON and beyond
Communications of the ACM
Product family modeling for mass customization
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
Configuring Large Systems Using Generative Constraint Satisfaction
IEEE Intelligent Systems
Intelligent Support for Interactive Configuration of Mass-Customized Products
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Constraint Processing
Generative constraint-based configuration of large technical systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Towards a general ontology of configuration
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Consistency-based diagnosis of configuration knowledge bases
Artificial Intelligence
Solutions for product configuration management: An empirical study
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Product configuration knowledge modeling using ontology web language
Expert Systems with Applications: An International Journal
Towards a generic model of configuraton tasks
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Applying case-based reasoning for product configuration in mass customization environments
Expert Systems with Applications: An International Journal
Dynamic constraint satisfaction problems
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Hi-index | 0.00 |
Product configuration is an essential means for selecting various components to constitute a customized product with the aim of meeting the individualized requirements of a customer. Nevertheless, configuration conflicts may occur when too strict requirements of the customer are given and thus any configuration cannot be found to satisfy the customer requirements. In this situation, it is vital important for a product configurator to recommend the corrective actions for generating valid configurations. In this paper, we present a method of applying constraint satisfaction to resolve product configuration conflicts. In the presented approach, the configuration conflict problem is encoded as a CSP (constraint satisfaction problem). Therefore, the resolution to the configuration conflict problem can be regarded as solving a CSP. As a consequence, corrective actions such as removing selected components or adding new components are suggested by the system. In the case of multiple resolving strategies, a multi-objective decision model is adopted to find the optimal repair strategy according to customer preferences. A computer configuration is illustrated to demonstrate the effectiveness of the presented approach.