Advanced planning and control of manufacturing processes in steel industry through big data analytics: Case study and architecture proposal

Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

Volumn , Issue , 2014, Pages 16-24

  Krumeich, Julian ^a   Werth, Dirk ^b   Loos, Peter ^b   Schimmelpfennig, Jens ^c   Jacobi, Sven ^c  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^b Software AG   (Germany)

^c Saarstahl AG   (Germany)

Author keywords

Business activity monitoring; Business process forecast and simulation; Business process intelligence; Complex event processing; Event driven business process management; Ontology; Predictive analytics

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; COMPETITION; ENTERPRISE RESOURCE MANAGEMENT; FORECASTING; MANUFACTURE; ONTOLOGY; PROCESS CONTROL; STEELMAKING;

BUSINESS ACTIVITY MONITORING; BUSINESS PROCESS; BUSINESS PROCESS INTELLIGENCE; BUSINESS PROCESS MANAGEMENT; COMPLEX EVENT PROCESSING; PREDICTIVE ANALYTICS;

BIG DATA;

EID: 84988220800     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2014.7004408     Document Type: Conference Paper

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