Information Inputs and Outputs of Quality Planning Processes and the Possibilities of Their Improvement through Digital
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F24%3A10255253" target="_blank" >RIV/61989100:27360/24:10255253 - isvavai.cz</a>
Result on the web
<a href="https://www.qip-journal.eu/index.php/QIP/article/view/2023" target="_blank" >https://www.qip-journal.eu/index.php/QIP/article/view/2023</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12776/qip.v28i2.2023" target="_blank" >10.12776/qip.v28i2.2023</a>
Alternative languages
Result language
angličtina
Original language name
Information Inputs and Outputs of Quality Planning Processes and the Possibilities of Their Improvement through Digital
Original language description
Purpose: The article aims to identify the key information inputs of quality planning processes, analyse their availability in the company practice, and propose framework measures for their effective digital transformation.Methodology/Approach: The quality planning process was divided into 10 sub-processes, and a total of 90 information inputs and outputs were identified. Based on the importance evaluation 20 most important information inputs of quality planning were determined. The average digitalisation degree and maturity of the used storage systems were analysed in company practice for these information inputs. The average degree of availability of these inputs was then evaluated, leading to framework proposals for improvement.Findings: The analysis revealed that many key information inputs of quality planning processes are not sufficiently available in practice. Consequently, framework measures to improve the availability of information for quality planning processes were proposed.Research Limitation/Implication: This article provides valuable insights for companies aiming to enhance competitiveness through more effective quality planning in accordance with Industry 4.0 principles.Originality/Value of paper: The paper identifies the information inputs and outputs of quality planning processes and offers framework suggestions for effectively incorporating digital transformation into these processes.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
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
1338-984X
Volume of the periodical
28
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
23
Pages from-to
76-98
UT code for WoS article
001284700600005
EID of the result in the Scopus database
2-s2.0-85201639349