Abstract
The adaptation of the range of products within an enterprise to the today's customers' demands results in an exploding number of different variant parts and variant bills of material. If frequent updates of such a great number of variant parts are necessary, the maintenance of the corresponding data with conventional methods and software systems is often made to expensive or sometimes even impossible.
Therefore, in this paper a rule-driven generator for variant parts and variant bills of material is introduced, which extends conventional relational database systems with rules and operations for the dynamic generation of variant parts and variant bills of material. As a consequence, this dynamic generation dramatically reduces the number of product data. With this approach an efficient management of variant parts is provided and redundancy and inconsistency are prevented.
| Original language | English |
|---|---|
| Title of host publication | Eight International Workshop on Database and Expert Systems Applications 1997 |
| Editors | Roland Wagner |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Print) | 0-8186-8147-0 |
| Publication status | Published - Sept 1997 |
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
