IDEAS home Printed from https://ideas.repec.org/p/gtr/gatrjs/jfbr194.html
   My bibliography  Save this paper

Influence of Quality on Manufacturing Processes in Enterprises from the Perspective of Generating Value Added

Author

Listed:
  • Yaroslava Kostiuk

    (University of Zilina, Department of Economics, Univerzitna 8215/1, 01026 Zilina, Slovak Republic Author-2-Name: Author-2-Workplace-Name: Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

"Objective - In the current dynamic and competitive business environment, in the age of Industry 4.0, implementation of the overall quality management enables enterprises to expand their markets and at the same time to adjust to new conditions of global trade. The objective of the paper submitted is to determine the impact of qualitative processes in the manufacturing environment on the process added value and added value for customers. Methodology – In the research, the method of Value Stream Map (VSM) was used, and the extended method of Quality Value Stream Map (QVSM). The research was focused on manufacturing operations, where the emphasis is put on the parameter of quality in a model enterprise environment in the sector of mass production. Findings – The main output of the research was to determine the parameters which significantly affect the corporate manufacturing process in terms of its quality. The research also aimed to create a current Value Stream Map identifying the key manufacturing operations, in which quality contributes most to the creation of value-added. Findings and Novelty – Empirical results indicate that there is a difference between the analysis of the process added value and the analysis of added value for customers. It has been confirmed that at the time of Industry 4.0, SMEs still underestimate the importance of quality-related activities compared to large enterprises. It has been found that quality-related operations as such participate indirectly in the generation of added value in the manufacturing process but optimization and innovation of quality-related activities within the manufacturing process may indirectly add value to the main (value-generating) processes. Type of Paper - Empirical"

Suggested Citation

  • Yaroslava Kostiuk, 2022. "Influence of Quality on Manufacturing Processes in Enterprises from the Perspective of Generating Value Added," GATR Journals jfbr194, Global Academy of Training and Research (GATR) Enterprise.
    • Handle: RePEc:gtr:gatrjs:jfbr194
    DOI: https://doi.org/10.35609/jfbr.2022.6.4(2)
    as

    Download full text from publisher

    File URL: http://gatrenterprise.com/GATRJournals/JFBR/pdf_files/JFBR-Vol-6(4)/1.Yaroslava%20Kostiuk.pdf
    Download Restriction: http://gatrenterprise.com/GATRJournals/online_submission.html
    File URL: https://libkey.io/https://doi.org/10.35609/jfbr.2022.6.4(2)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rust, Roland T. & Moorman, Christine & van Beuningen, Jacqueline, 2016. "Quality mental model convergence and business performance," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 155-171.
    2. Gionata Carmignani, 2017. "Scrap value stream mapping (S-VSM): a new approach to improve the supply scrap management process," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3559-3576, June.
    3. Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
    4. Stadnicka, Dorota & Litwin, Paweł, 2019. "Value stream mapping and system dynamics integration for manufacturing line modelling and analysis," International Journal of Production Economics, Elsevier, vol. 208(C), pages 400-411.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sony, Michael & Naik, Subhash, 2020. "Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model," Technology in Society, Elsevier, vol. 61(C).
    2. Zahoor, Nadia & Zopiatis, Anastasios & Adomako, Samuel & Lamprinakos, Grigorios, 2023. "The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes," Journal of Business Research, Elsevier, vol. 159(C).
    3. Durga Prasad Penumuru & Sreekumar Muthuswamy & Premkumar Karumbu, 2020. "Identification and classification of materials using machine vision and machine learning in the context of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1229-1241, June.
    4. Mariusz Salwin & Karolina Pszczółkowska & Michał Pałęga & Andrzej Kraslawski, 2023. "Value-Stream Mapping as a Tool to Improve Production and Energy Consumption: A Case Study of a Manufacturer of Industrial Hand Tools," Energies, MDPI, vol. 16(21), pages 1-25, October.
    5. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    6. Yüksel, Hilmi, 2020. "An empirical evaluation of industry 4.0 applications of companies in Turkey: The case of a developing country," Technology in Society, Elsevier, vol. 63(C).
    7. Vitkauskaitė, Elena & Varaniūtė, Viktorija & Bouwman, Harry, 2019. "Evaluating SMEs Readiness to Transform to IoT-Based Business Models," 30th European Regional ITS Conference, Helsinki 2019 205220, International Telecommunications Society (ITS).
    8. Szymon Cyfert & Waldemar Glabiszewski & Maciej Zastempowski, 2021. "Impact of Management Tools Supporting Industry 4.0 on the Importance of CSR during COVID-19. Generation Z," Energies, MDPI, vol. 14(6), pages 1-13, March.
    9. Juan Pablo Usuga Cadavid & Samir Lamouri & Bernard Grabot & Robert Pellerin & Arnaud Fortin, 2020. "Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1531-1558, August.
    10. Miguel Baritto & Md Mashum Billal & S. M. Muntasir Nasim & Rumana Afroz Sultana & Mohammad Arani & Ahmed Jawad Qureshi, 2020. "Supporting Tool for The Transition of Existing Small and Medium Enterprises Towards Industry 4.0," Papers 2010.12038, arXiv.org.
    11. Henrik Saabye & Thomas Borup Kristensen & Brian Vejrum Wæhrens, 2020. "Real-Time Data Utilization Barriers to Improving Production Performance: An In-depth Case Study Linking Lean Management and Industry 4.0 from a Learning Organization Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    12. Andreas Felsberger & Gerald Reiner, 2020. "Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review," Sustainability, MDPI, vol. 12(19), pages 1-39, September.
    13. Gregory A. Harris & Daniel Abernathy & Lin Lu & Anna Hyre & Alexander Vinel, 2022. "Bringing Clarity to Issues with Adoption of Digital Manufacturing Capabilities: an Analysis of Multiple Independent Studies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2868-2889, December.
    14. Tian, Jiamian & Coreynen, Wim & Matthyssens, Paul & Shen, Lei, 2022. "Platform-based servitization and business model adaptation by established manufacturers," Technovation, Elsevier, vol. 118(C).
    15. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    16. Rosmaini Ahmad & Rabiatul Fakhira Mohd Amin & Shaliza Azreen Mustafa, 2022. "Value stream mapping with lean thinking model for effective non-value added identification, evaluation and solution processes," Operations Management Research, Springer, vol. 15(3), pages 1490-1509, December.
    17. Zeki Murat Çınar & Qasim Zeeshan & Orhan Korhan, 2021. "A Framework for Industry 4.0 Readiness and Maturity of Smart Manufacturing Enterprises: A Case Study," Sustainability, MDPI, vol. 13(12), pages 1-32, June.
    18. Ardito, Lorenzo & Raby, Simon & Albino, Vito & Bertoldi, Bernardo, 2021. "The duality of digital and environmental orientations in the context of SMEs: Implications for innovation performance," Journal of Business Research, Elsevier, vol. 123(C), pages 44-56.
    19. Nelson DUARTE & Carla PEREIRA & Ricardo SANTOS & António AMARAL & Davide CARNEIRO, 2020. "The Role Of Digital Maturity In The Knowledge Based Economy," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 19(3), pages 79-88.
    20. Anupama Prashar, 2023. "Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2513-2528, August.

    More about this item

    Keywords

    Quality Value Stream Map; Value Stream Map; Quality Management; Added Value For The Customer; Production Process;
    All these keywords.

    JEL classification:

    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gtr:gatrjs:jfbr194. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Prof. Dr. Abd Rahim Mohamad (email available below). General contact details of provider: http://gatrenterprise.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.