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...

Full description

Bibliographic Details
Main Authors: Peter Bubeník, Filip Horák
Format: Article
Language:English
Published: Technical University of Kosice 2014-07-01
Series:Kvalita Inovácia Prosperita
Subjects:
Online Access:http://www.qip-journal.eu/index.php/QIP/article/view/208
_version_ 1828796966633472000
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