PT Journal
AU Bubenik, P
   Horak, F
   Hancinsky, V
TI Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods
SO Communications - Scientific Letters of the University of Zilina
PY 2015
BP 78
EP 82
VL 17
IS 3
DI 10.26552/com.C.2015.3.78-82
WP https://komunikacie.uniza.sk/artkey/csl-201503-0013.php
DE data mining; production planning; knowledge acquisition; genetic algorithm
SN 13354205
AB 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.
ER