Information Inputs and Outputs of Quality Planning Processes and the Possibilities of Their Improvement through Digital Transformation
Abstract
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.
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References
Adel, A., 2022. Future of industry 5.0 in society: Human-Centric Solutions, challenges and prospective research areas. Journal of Cloud Computing, 11(1). http://doi.org/10.1186/s13677-022-00314-5.
Chiarini, A., 2020. Industry 4.0, Quality Management and TQM World. A systematic literature review and a proposed agenda for further research. The TQM Journal, 32(4), pp. 603–616. http://doi.org/10.1108/tqm-04-2020-0082.
De Feo, J.A., 2016. Juran's Quality Handbook: The Complete Guide to Performance Excellence. New York: McGraw Hill.
Dias, A.M., Carvalho, A.M. and Sampaio, P., 2021. Quality 4.0: Literature review analysis, definition and impacts of the digital transformation process on quality. International Journal of Quality & Reliability Management, 39(6), pp. 1312–1335. http://doi.org/10.1108/ijqrm-07-2021-0247.
Durana, P. et al., 2019. Quality culture of manufacturing enterprises: A possible way to adaptation to industry 4.0. Social Sciences, 8(4), p. 124. http://doi.org/10.3390/socsci8040124.
Dutta, G. et al., 2021. Digitalisation priorities of quality control processes for SMEs: A conceptual study in perspective of industry 4.0 adoption. Journal of Intelligent Manufacturing, 32(6), pp. 1679–1698. http://doi.org/10.1007/s10845-021-01783-2.
Gunasekaran, A., Subramanian, N. and Ngai, W.T., 2019. Quality Management in the 21st Century enterprises: Research pathway towards industry 4.0. International Journal of Production Economics, 207, pp. 125–129. http://doi.org/10.1016/j.ijpe.2018.09.005.
Joković, Z. et al., 2023. Quality 4.0 in digital manufacturing – example of good practice. Quality Innovation Prosperity, 27(2), pp. 177–207. http://doi.org/10.12776/qip.v27i2.1870.
Jiju, A., Bhat, S., Jayaraman, R., McDermott, O., 2022. The genealogy of Quality 4.0: From inspection to automation, the quest to meet standards evolves. Norcross GA: ISE: Industrial & Systems Engineering at Work. IISE Transactions 54(4):34-39
Juran Institute and Attain Partners, 2024. Quality 4.0: The Future of Quality?, Available at: https://www.juran.com/blog/quality-4-0-the-future-of-quality/ [Accessed: 04 April 2024].
Klippert, M. et al., 2020. Industrie 4.0 – an empirical and literature-based study how product development is influenced by the digital transformation. Procedia CIRP, 91, pp. 80–86. http://doi.org/10.1016/j.procir.2020.02.152.
Lars, A. et al., 2023. Deutsche Normungsroadmap Industrie 4.0 - version 5, Available at: https://www.researchgate.net/publication/370098505_Deutsche_Normungsroadmap_Industrie_40_-_Version_5 [Accessed: 04 January 2024].
MPO, 2017. Iniciativa Průmysl 4.0. Ministerstvo průmyslu a obchodu. Available at: https://www.mpo.gov.cz/assets/dokumenty/53723/64358/658713/priloha001.pdf [Accessed: 13 January 2023].
Nenadál, J. et al., 2018. Management kvality pro 21. století. Praha: Management Press.
Nenadál, J. et al., 2008. Moderní Management Jakosti: Principy, postupy, metody. Praha: Management Press.
Plura, J., 2001. Plánování a neustálé zlepšování jakosti. Praha: Computer Press.
Plura, J., Klaput P., 2023. Zpráva o řešení projektu DMS Platforma pro výzkum orientovaný na Průmysl 4.0 a robotiku v ostravské aglomeraci, CZ.02.1.01/0.0/0.0/17_049/0008425. Výzkumný cíl 1.3.2 Rozvoj smart systému plánování kvality. Ostrava: VŠB-Technická univerzita Ostrava.
Polláková, N., Plura, J., 2016. Identification of potential risks in product quality planning. Available at: https://www.confer.cz/metal/2016/download/2043-identification-of-potential-risks-in-product-quality-planning.pdf [Accessed: 05 March 2024].
Ramakrishna, Y. et al., 2023. Approaching Quality 4.0: The Digital Process Management as a Competitive Advantage. International Conference on Business Analytics for Technology and Security (ICBATS). Dubai, United Arab Emirates, pp. 1-6. http://doi.org/10.1109/ICBATS57792.2023.10111453.
Reedy, S., 2020. Koncept Kvalita 4.0 přetváří způsob vývoje produktů, Vše o průmyslu. Available at: https://www.vseoprumyslu.cz/udrzba-a-diagnostika/asset-management/koncept-kvalita-4-0-pretvari-zpusob-vyvoje-produktu.html [Accessed: 15 September 2022].
Singh, J. et al., 2022. Development and implementation of Autonomous Quality Management System (AQMS) in an automotive manufacturing using quality 4.0 concept – a case study. Computers & Industrial Engineering, 168, p. 108121. http://doi.org/10.1016/j.cie.2022.108121.
Slancová, I., 2021. Possibilities of using the VSM 4.0 method to improve product quality planning. In: Den doktorandů 2021. Ostrava: Vysoká škola báňská – Technická univerzita Ostrava.
Stark, J., 2022. Product Lifecycle Management: 21st century paradigm for product realisation. Cham: Springer.
Tulkoff, C., 2014. Design for manufacturing: Pravidla DFM. Available at: https://www.dps-az.cz/clanky/id:12033/design-for-manufacturing-pravidla-dfm [Accessed: 06 January 2022].
Ulrych, J., 2017. Data Quality Management, 2017. SystemOnLine.cz. Available at: http://m.systemonline.cz/business-intelligence/data-quality-management-1.htm [Accessed: 22 November 2023].
Vasiliev, V.A. et al., 2020. Possibilities for the integration of quality management tools and methods with Digital Technologies. Russian Metallurgy (Metally), 2020 (13), pp. 1649–1652. http://doi.org/10.1134/s003602952013039x.
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Copyright (c) 2024 Iveta Slancová, Jiří Plura
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