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APSS - Software Support for Decision Making in Statistical Process Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F18%3A10241112" target="_blank" >RIV/61989100:27360/18:10241112 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.qip-journal.eu/index.php/QIP/article/view/1141/1046" target="_blank" >http://www.qip-journal.eu/index.php/QIP/article/view/1141/1046</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.12776/QIP.V22I3.1141" target="_blank" >10.12776/QIP.V22I3.1141</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    APSS - Software Support for Decision Making in Statistical Process Control

  • Original language description

    Statistical process control reprezents problem solving process containing many decision making activities, selection of control chart based on the efficient data presumptions statistical analysis including. There is no professional SW supporting such activities in an integral way. This paper describes SW product APSS (Analysis of the Process Statistical Stability) which was created at the Quality Management Department of the Faculty of Materials and Technology, VŠB-TU Ostrava to support such activities.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Quality Innovation Prosperity - Kvalita Inovácia Prosperita

  • ISSN

    1335-1745

  • e-ISSN

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    8

  • Pages from-to

    19-26

  • UT code for WoS article

    000451892800002

  • EID of the result in the Scopus database