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.
| Originalsprache | Englisch |
|---|---|
| Titel | Eight International Workshop on Database and Expert Systems Applications 1997 |
| Herausgeber*innen | Roland Wagner |
| Verlag | IEEE |
| Seitenumfang | 6 |
| ISBN (Print) | 0-8186-8147-0 |
| Publikationsstatus | Veröffentlicht - Sep. 1997 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 9 – Industrie, Innovation und Infrastruktur
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SDG 16 – Frieden, Gerechtigkeit und starke Institutionen
Wissenschaftszweige
- 102001 Artificial Intelligence
- 102006 Computer Supported Cooperative Work (CSCW)
- 102010 Datenbanksysteme
- 102014 Informationsdesign
- 102015 Informationssysteme
- 102016 IT-Sicherheit
- 102028 Knowledge Engineering
- 102019 Machine Learning
- 102022 Softwareentwicklung
- 102025 Verteilte Systeme
- 502007 E-Commerce
- 505002 Datenschutz
- 506002 E-Government
- 509018 Wissensmanagement
- 202007 Computer Integrated Manufacturing (CIM)
- 102033 Data Mining
- 102035 Data Science
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