KNOWLEDGE-BASED SYSTEMS TO SUPPORT PRODUCTION PLANNING

被引：0

作者：

Bubenik, Peter ^{[1
]}

Horak, Filip ^{[1
]}

机构：

[1] Univ Zilina, Zilina 01026, Slovakia

来源：

TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2014年 / 21卷 / 03期

关键词：

data mining; decision trees; knowledge-based systems; proactive planning; production planning;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：505 / 509

页数：5

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