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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Katedra informatiky a počítačů (31400)
Title:
Use of Conventional and Unconventional Statistical Methods in the Development of a Real Information System to Support Decision-Making Processes of Executives
Citace
Hardt, F., Kotyrba, M., Volná, E. a Bradáč, V. Use of Conventional and Unconventional Statistical Methods in the Development of a Real Information System to Support Decision-Making Processes of Executives.
In:
International Conference on Information Science and Applications 2019: Information Science and Applications. Lecture Notes in Electrical Engineering 2019-12-16 Seoul, Korea.
Singapore: Springer, 2020. s. 561-570. ISBN 978-981-15-1464-7.
Subtitle
Publication year:
2020
Obor:
Informatika
Number of pages:
10
Page from:
561
Page to:
570
Form of publication:
Elektronická verze
ISBN code:
978-981-15-1464-7
ISSN code:
1876-1100
Proceedings title:
Information Science and Applications. Lecture Notes in Electrical Engineering
Proceedings:
Mezinárodní
Publisher name:
Springer
Place of publishing:
Singapore
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
International Conference on Information Science and Applications 2019
Místo konání konference:
Seoul, Korea
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000612992400055
EID:
2-s2.0-85077499086
Key words in English:
Business intelligence; Time series; Grubbs test; Prediction
Annotation in original language:
The aim of this paper is to introduce selected statistical methods that were used and implemented in real information system development (IS). The entire information system has been developed for a subsidiary of a multinational corporation to produce of components for train brakes. The purpose of this statistical analysis is to obtain as much information as possible about the data collected by the collection system in order to support managerial decision-making processes as well as to set economic goals and budgets for the following period based on information on spare parts and production failures facilities. Subsequently, the system can optimize the inventory and thus save significant financial resources.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/20:A23022XP
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