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: | , , |
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Format: | Article |
Language: | English |
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University of Žilina
2015-08-01
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Series: | Communications |
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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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author | Peter Bubenik Filip Horak Viktor Hancinsky |
author_facet | Peter Bubenik Filip Horak Viktor Hancinsky |
author_sort | Peter Bubenik |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-09T18:02:54Z |
format | Article |
id | doaj.art-ed68c789093c4f3297ba6c26b86b087f |
institution | Directory Open Access Journal |
issn | 1335-4205 2585-7878 |
language | English |
last_indexed | 2024-04-09T18:02:54Z |
publishDate | 2015-08-01 |
publisher | University of Žilina |
record_format | Article |
series | Communications |
spelling | doaj.art-ed68c789093c4f3297ba6c26b86b087f2023-04-14T06:31:00ZengUniversity of ŽilinaCommunications1335-42052585-78782015-08-01173788210.26552/com.C.2015.3.78-82csl-201503-0013Acquiring Knowledge Needed for Pull Production System Design through Data Mining MethodsPeter Bubenik0Filip Horak1Viktor Hancinsky2Department of Industrial Engineering, Faculty of Mechanical Engineering University of Zilina, SlovakiaDepartment of Industrial Engineering, Faculty of Mechanical Engineering University of Zilina, SlovakiaDepartment of Industrial Engineering, Faculty of Mechanical Engineering University of Zilina, SlovakiaArticle 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.https://komunikacie.uniza.sk/artkey/csl-201503-0013_acquiring-knowledge-needed-for-pull-production-system-design-through-data-mining-methods.phpdata miningproduction planningknowledge acquisitiongenetic algorithm |
spellingShingle | Peter Bubenik Filip Horak Viktor Hancinsky Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods Communications data mining production planning knowledge acquisition genetic algorithm |
title | Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods |
title_full | Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods |
title_fullStr | Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods |
title_full_unstemmed | Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods |
title_short | Acquiring Knowledge Needed for Pull Production System Design through Data Mining Methods |
title_sort | acquiring knowledge needed for pull production system design through data mining methods |
topic | data mining production planning knowledge acquisition genetic algorithm |
url | https://komunikacie.uniza.sk/artkey/csl-201503-0013_acquiring-knowledge-needed-for-pull-production-system-design-through-data-mining-methods.php |
work_keys_str_mv | AT peterbubenik acquiringknowledgeneededforpullproductionsystemdesignthroughdataminingmethods AT filiphorak acquiringknowledgeneededforpullproductionsystemdesignthroughdataminingmethods AT viktorhancinsky acquiringknowledgeneededforpullproductionsystemdesignthroughdataminingmethods |