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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 |