Paper Info
Title
Knowledge-Driven Adaptive Production Management Based on Real-Time User Feedback and Ontology Updates
Abstract
This paper presents the principles of the knowledge-driven adaptive management in manufacturing. The problems of real-time resource allocation, reaction to the unexpected events, on-the-fly update of the knowledge stored in ontology are considered. The possibilities of simultaneous change of the existing factory or workshop processes and schedules according to the information provided by the users are described. Finally, the possible ways of development of the presented approach and its application in production resource management are considered.
Year
DOI
Venue
2013
10.1109/SMC.2013.809
SMC
Keywords
Field
DocType
ontology updates,unexpected event,real-time resource allocation,simultaneous change,production resource management,real-time user feedback,knowledge-driven adaptive production management,workshop process,possible way,on-the-fly update,knowledge-driven adaptive management,existing factory,real time systems,production management,factory automation
Ontology,Computer science,Knowledge management,Artificial intelligence,Adaptive management,Production manager,Resource management,Applied engineering,Software engineering,Resource allocation,Schedule,Unexpected events,Machine learning
Conference
ISSN
Citations 
PageRank 
1062-922X
1
0.43
References 
Authors
4
6
Name
Order
Citations
PageRank
Daria Kazanskaia1142.95
Sergey Kozhevnikov211.79
Vladimir Larukhin310.43
Petr Skobelev411824.61
Alexander Tsarev5306.44
Yaroslav Shepilov621.79