Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods
Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods
Author(s): Peter Bubeník, Filip Horák, Viktor HancinskySubject(s): Business Economy / Management, Methodology and research technology, ICT Information and Communications Technologies
Published by: Žilinská univerzita v Žilině
Keywords: data mining; production planning; knowledge acquisition; genetic algorithm;
Summary/Abstract: 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 methods were used.
Journal: Komunikácie - vedecké listy Žilinskej univerzity v Žiline
- Issue Year: 17/2015
- Issue No: 3
- Page Range: 78-82
- Page Count: 5
- Language: English