Original scientific paper

Knowledge-based systems to support production planning

Peter Bubeník orcid.org/0000-0001-7841-9328 ; University of Zilina, Univerzitna 1, 010 26 Zilina, Slovakia
Filip Horák ; University of Zilina, Univerzitna 1, 010 26 Zilina, Slovakia

Abstract

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.

Keywords

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

Hrčak ID:

123314

URI

https://hrcak.srce.hr/123314

Publication date:

24.6.2014.

Article data in other languages: croatian

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