Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods

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...

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Bibliographic Details
Main Authors: Peter Bubenik, Filip Horak, Viktor Hancinsky
Format: Article
Language:English
Published: University of Žilina 2015-08-01
Series:Communications
Subjects:
data mining
production planning
knowledge acquisition
genetic algorithm
Online Access:https://komunikacie.uniza.sk/artkey/csl-201503-0013_acquiring-knowledge-needed-for-pull-production-system-design-through-data-mining-methods.php

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https://komunikacie.uniza.sk/artkey/csl-201503-0013_acquiring-knowledge-needed-for-pull-production-system-design-through-data-mining-methods.php

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