IMPROVING BUSINESS PROCESS IN SEMICONDUCTOR MANUFACTURING BY DISCOVERING BUSINESS RULES
Résumé
Process and data are equally important for business process management. Data is especially relevant in the
context of automated business processes, and process controlling. In the context of knowledge-intensive
domain, data modified by engineers and used by a fully automatic manufacturing system can lead to
unpredictable errors. In this paper, a method permitting the discovery of truly enforced business rules
used by the process is proposed. These rules will be highlighted using data from the model of the studied
process. The proposed methodology is mainly based on a data mining approach. The proposed method
has been tested on data from semiconductor industry, in which processes are known to be complex, and
the number of business rules is known to be important. The results show that the method is efficient in
assisting engineers in process errors detection and practical process improvement
Domaines
Informatique [cs]
Origine : Fichiers produits par l'(les) auteur(s)