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Implementing control charts to corporate financial management

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dc.title Implementing control charts to corporate financial management en
dc.contributor.author Kovářík, Martin
dc.contributor.author Sarga, Libor
dc.relation.ispartof WSEAS Transactions on Mathematics
dc.identifier.issn 2224-2880 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2014
utb.relation.volume 13
dc.citation.spage 246
dc.citation.epage 255
dc.type article
dc.language.iso en
dc.publisher World Scientific and Engineering Academy and Society (WSEAS)
dc.relation.uri http://www.wseas.org/multimedia/journals/mathematics/2014/a185706-337.pdf
dc.subject Altman's Z-score en
dc.subject Cusum control chart en
dc.subject EWMA control chart en
dc.subject Process capability indices en
dc.subject Shewhart's control charts en
dc.subject Statistical process control en
dc.description.abstract In the paper, corporate financial management using statistical process control (SPC), especially Shewhart's control charts operating with the constant mean, control charts with non-constant mean, and process capability indices will be introduced. The center line, UCL and LCL for the control charts will be defined with the regulated process not allowed to cross the UCL and LCL boundaries. Altman's model (the so called Z-score), the most popular corporate financial stability index, will be used. We will demonstrate benefits of SPC on two case studies: the first will focus on corporate financial flow control, the second will include six companies. Special types of control charts, i.e., CUSUM and EWMA, will be discussed due to their mean shift sensitivity and practical applications demonstrated on additional two case studies. The results prove control charts can be successfully implemented not only in manufacturing processes but in corporate financial management as well. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1003734
utb.identifier.obdid 43871475
utb.identifier.scopus 2-s2.0-84899117579
utb.source j-scopus
dc.date.accessioned 2014-06-05T20:22:54Z
dc.date.available 2014-06-05T20:22:54Z
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Kovářík, Martin
utb.contributor.internalauthor Sarga, Libor
utb.fulltext.affiliation MARTIN KOVARIK Tomas Bata University in Zlin, Department of Statistics and Quantitative Methods, Nam. T. G. Masaryka 5555, 760 01 Zlin , CZECH REPUBLIC m1kovarik@fame.utb.cz LIBOR SARGA Tomas Bata University in Zlin, Department of Statistics and Quantitative Methods, Nam. T. G. Masaryka 5555, 760 01 Zlin, CZECH REPUBLIC sarga@fame.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship The authors are thankful to the Operational Programme Education for Competitiveness co-funded by the European Social Fund (ESF) and national budget of the Czech Republic for the grant No. CZ.1.07/2.3.00/20.0147 - “Human Resources Development in the field of Measurement and Management of Companies, Clusters and Regions Performance”, which provided financial support for this research.
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Department of Statistics and Quantitative Methods
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International