An interpretable machine learning approach for engineering change management decision support in automotive industry.
Yuwei PanRainer StarkPublished in: Comput. Ind. (2022)
Keyphrases
- automotive industry
- change management
- decision support
- machine learning
- knowledge management
- mass customization
- product configuration
- requirements engineering
- software engineering
- decision support system
- data mining
- product design
- project management
- data warehouse
- software development
- decision makers
- service delivery
- decision making
- artificial intelligence
- constraint satisfaction
- software reuse
- knowledge acquisition
- knowledge discovery
- information technology
- knowledge engineering
- constraint satisfaction problems
- goal oriented
- e learning
- data sources
- case study