Proactive Approach to Manufacturing Planning
<p class="Keywords"><span lang="EN-GB">Proposed concept of proactive manufacturing planning uses sets of knowledge to create plan. These sets of knowledge are gained from transformation of historical data of selected indicators. This concept uses the analysis of occur...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Technical University of Kosice
2014-07-01
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Series: | Kvalita Inovácia Prosperita |
Subjects: | |
Online Access: | http://www.qip-journal.eu/index.php/QIP/article/view/208 |
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author | Peter Bubeník Filip Horák |
author_facet | Peter Bubeník Filip Horák |
author_sort | Peter Bubeník |
collection | DOAJ |
description | <p class="Keywords"><span lang="EN-GB">Proposed concept of proactive manufacturing planning uses sets of knowledge to create plan. These sets of knowledge are gained from transformation of historical data of selected indicators. This concept uses the analysis of occurred events, which is done by applying data mining methods to known historical data. Results of analysis are then recorded into knowledge-based system for further use. Application of data mining techniques helps to find hidden relationships with high influence on final decision of planner. This concept aims to navigate planner during creation of real plans resulting from real situations. Unknown situations are modelled using simulation module.</span></p><p> </p> |
first_indexed | 2024-12-12T04:32:15Z |
format | Article |
id | doaj.art-27a9654e1d9b4d70addd1371011b2ec8 |
institution | Directory Open Access Journal |
issn | 1335-1745 1338-984X |
language | English |
last_indexed | 2024-12-12T04:32:15Z |
publishDate | 2014-07-01 |
publisher | Technical University of Kosice |
record_format | Article |
series | Kvalita Inovácia Prosperita |
spelling | doaj.art-27a9654e1d9b4d70addd1371011b2ec82022-12-22T00:38:03ZengTechnical University of KosiceKvalita Inovácia Prosperita1335-17451338-984X2014-07-01181233210.12776/qip.v18i1.208254Proactive Approach to Manufacturing PlanningPeter BubeníkFilip Horák<p class="Keywords"><span lang="EN-GB">Proposed concept of proactive manufacturing planning uses sets of knowledge to create plan. These sets of knowledge are gained from transformation of historical data of selected indicators. This concept uses the analysis of occurred events, which is done by applying data mining methods to known historical data. Results of analysis are then recorded into knowledge-based system for further use. Application of data mining techniques helps to find hidden relationships with high influence on final decision of planner. This concept aims to navigate planner during creation of real plans resulting from real situations. Unknown situations are modelled using simulation module.</span></p><p> </p>http://www.qip-journal.eu/index.php/QIP/article/view/208data miningproduction planningproactive approachknowledge-based system |
spellingShingle | Peter Bubeník Filip Horák Proactive Approach to Manufacturing Planning Kvalita Inovácia Prosperita data mining production planning proactive approach knowledge-based system |
title | Proactive Approach to Manufacturing Planning |
title_full | Proactive Approach to Manufacturing Planning |
title_fullStr | Proactive Approach to Manufacturing Planning |
title_full_unstemmed | Proactive Approach to Manufacturing Planning |
title_short | Proactive Approach to Manufacturing Planning |
title_sort | proactive approach to manufacturing planning |
topic | data mining production planning proactive approach knowledge-based system |
url | http://www.qip-journal.eu/index.php/QIP/article/view/208 |
work_keys_str_mv | AT peterbubenik proactiveapproachtomanufacturingplanning AT filiphorak proactiveapproachtomanufacturingplanning |