Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods
Article deals with defining relationships for setting the optimal number of kanban cards in individual circuits of pull production systems, in order to minimize work in progress, while maximizing the number of completed orders in the observed time interval. To achieve this objective, data mining met...
Main Authors: | Peter Bubenik, Filip Horak, Viktor Hancinsky |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Žilina
2015-08-01
|
Series: | Communications |
Subjects: | |
Online Access: | https://komunikacie.uniza.sk/artkey/csl-201503-0013_acquiring-knowledge-needed-for-pull-production-system-design-through-data-mining-methods.php |
Similar Items
-
Proactive Approach to Manufacturing Planning
by: Peter Bubeník, et al.
Published: (2014-07-01) -
Statistical data mining and knowledge discovery /
by: Bozdogan, H. (Hamparsum), 1945-
Published: (2004) -
Mathematical methods for knowledge discovery and data mining /
by: Felici, Giovanni, et al.
Published: (2008) -
Knowledge discovery practices and emerging applications of data mining : trends and new domains /
by: Senthil kumar, A., 1966-
Published: (c201) -
Medical data mining and knowledge discovery /
by: Cios, Krzysztof J.
Published: (2001)