Production Management as One of the Dimensions of the Industry 4.0 Implementation

• Autorzy: Anna Michna , Joanna Kruszewska
• Języki publikacji: EN

Abstrakty

EN

jective: In the context of the Fourth Industrial Revolution (Industry 4.0), one of the more frequently discussed topics in the literature is the issue of maturity and readiness to implement Industry 4.0 solutions. The purpose of this article is to collect the dimensions of the implementation of modern technological solutions and to present the developed research tool for the functional area of the enterprise, which is "production management". The presented results are part of a broader research. Methodology: The research methods consist of a multiple and extensive literature review of maturity models and models of readiness of organizations to implement the concept of Industry 4.0. Based on the review of literature sources, a set of functional areas and dimensions of implementation was collected. Using this data, a proposal for a research tool was developed to systematize the levels of sophistication of the dimensions in specific functional areas of the organization. Conclusions: The result of the study is a proposal for a research tool for the "production management" area, which will be used to conduct the planned pilot study. This element is the next step in the development of the final research tool verifying the dimensions of Industry 4.0 implementation in the presented functional areas of manufacturing enterprises. Limitations/indications: Functional areas in manufacturing organizations may vary depending on the specifics of the enterprise. Likewise, the dimensions of Industry 4.0 implementation gathered from literature studies do not represent a closed set. Further studies detailing these aspects are advisable. It is also necessary to carry out a pilot study, based on which it will be possible to correct or confirm the effectiveness of the tool. Practical implications: The developed survey tool will provide the opportunity to conduct a comprehensive survey in manufacturing enterprises and at the same time can be used when performing self-assessment of the organization at the time of making decisions related to the implementation of modern technologies. Originality/substantive value: The developed research tool will quickly and effectively allow decision-makers in enterprises to identify the current situation of their organizations, determine the target state and identify competency, technical, and organizational gaps. As part of their own research, it will allow the authors to conduct a pilot study in manufacturing enterprises. (original abstract)

Słowa kluczowe

EN

Production management; Industry 4.0

PL

Zarządzanie produkcją; Przemysł 4.0

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 171 Współczesne zarządzanie = Contemporary Management
• Strony: 79--99

Twórcy

autor

Anna Michna

• Silesian University of Technology

autor

Joanna Kruszewska

• Silesian University of Technology

Bibliografia

• 1. Agca, O., Gibson, J., Godsell, J., Ignatius, J., Davies, C., Wyn, Xu, O. (2016). An Industry 4 readiness assessment tool. WMG The University of Warwick. https://warwick.ac.uk/fac/sci/wmg/research/scip/reports/final_version_of_i4_report_for_u se_on_websites.pdf.
• 2. Amaral, A., Peças, P. (2021). A Framework for Assessing Manufacturing SMEs Industry 4.0 Maturity. Applied Sciences, 11(13), Art. 13. https://doi.org/10.3390/app11136127.
• 3. Anderl, R. (2016). Industrie 4.0-Digital Transformation in Product Engineering and Production. 21st International Seminar on High Technology-Smart Products and Smart Production.
• 4. A/RES/70/1 Transforming our world: The 2030 Agenda for Sustainable Development. (2030).
• 5. Caballero, I., Caro, A., Calero, C., Piattini, M. (2008). IQM3: Information Quality Management Maturity Model. Journal of Universal Computer Science, 14(22), 3658-3685.
• 6. Chong, Z.Q., Low, C.Y., Mohammad, U., Rahman, R.A., Shaari, M.S.B. (2018). Conception of Logistics Management System for Smart Factory. International Journal of Engineering & Technology, 7(4.27), Art. 4.27. https://doi.org/10.14419/ijet.v7i4.27.22499.
• 7. Colli, M., Berger, U., Bockholt, M., Madsen, O., Møller, C., Wæhrens, B.V. (2019). A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era. Annual Reviews in Control, 48, 165-177. https://doi.org/10.1016/j.arcontrol. 2019.06.001.
• 8. Grabowska, S. (2021). Model Biznesu 4.0. Architektura, tworzenie wartości, ocena konkurencyjności i efektywności. TNOiK.
• 9. Grufman, N., Lyons, S. (2020). Exploring industry 4.0. A readiness assessment for SMEs. Stockholm University. https://doi.org/10.13140/RG.2.2.12170.08647.
• 10. Kryukov, V., Shakhgeldyan, K., Kiykova, E., Kiykova, D., Saychuk, D. (2022). Assessment of transport enterprise readiness for digital transformation. Transportation Research Procedia, 63, 2710-2718. https://doi.org/10.1016/j.trpro.2022.06.313.
• 11. Kumar, M.P., Sahithi, P., Revanth, S.S. (2020). Industry of quality (IoQ) - An industry 4.0 perspective. International Journal of Applied Research, 6(4), 109-114.
• 12. Maasouman, M.A., Demirli, K. (2015). Assessment of Lean Maturity Level in Manufacturing Cells. IFAC-PapersOnLine, 48(3), 1876-1881. https://doi.org/10.1016/ j.ifacol.2015.06.360.
• 13. Michna, A., Kmieciak, R., Kruszewska, J. (2021). Industry 4.0 Implementation in automotive sector: Driving forces, barriers and competencies. Pilot empirical study. Proceedings of the 38th International Business Information Management Association (IBMIA), pp. 9444-9450.
• 14. Michna, A., Kruszewska, J. (2020). Industry 4.0 solution implementation factors: Driving forces, barriers and chances. Planned research of SME. Proceedings of the 36th International Business Information Management Association (IBMIA), pp. 13924-13927.
• 15. Michna, A., Kruszewska, J. (2021). Driving Forces, Barriers and Competencies in Industry 4.0 Implementation. Proceedings of the 37th International Business Information Management Association (IBMIA), pp. 11112-11117.
• 16. Michna, A., Kruszewska, J. (2022a). Study on key competences for the implementation of Industry 4.0 solutions. Zeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie, 161. https://doi.org/10.29119/1641-3466.2022.161.10.
• 17. Michna, A., Kruszewska, J. (2022b). Determining the Level of Use of the Industry 4.0 Solutions in the COVID-19 Pandemic Era: Results of Empirical Research. Sustainability, 14(14), 8844. https://doi.org/10.3390/su14148844.
• 18. Michna, A., Kruszewska, J. (2022c). Dimensions of the Industry 4.0 implementation in manufacturing industry: Literature review. Proceedings of the 40th International Business Information Management Association Conference (IBIMA).
• 19. Mittal, S., Khan, M.A., Romero, D., Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194-214. https://doi.org/10.1016/j.jmsy.2018.10.005.
• 20. Mohammad, U., Low, C.Y., Rahman, R.A., Johar, M.A., Koh, C.T., Dumitrescu, R., Rabe, M., Asmar, L., Kamaruddin, S., Berhad, S. (2019). Smart Factory Reference Model for Training on Industry 4.0. Journal of Mechanical Engineering, 16(2), 129-144.
• 21. Müller, J.M. (2019). Business model innovation in small- and medium-sized enterprises: Strategies for industry 4.0 providers and users. Journal of Manufacturing Technology Management, 30(8), 1127-1142. https://doi.org/10.1108/JMTM-01-2018-0008.
• 22. PN-EN ISO 9001:2015 (2015). ISO. https://www.iso.org/standard/62085.html.
• 23. Rácz-Szabó, A., Ruppert, T., Bántay, L., Löcklin, A., Jakab, L., Abonyi, J. (2020). Real- Time Locating System in Production Management. Sensors, 20(23), Art. 23. https://doi.org/10.3390/s20236766.
• 24. Rauch, E., Unterhofer, M., Rojas, R.A., Gualtieri, L., Woschank, M., Matt, D.T. (2020). A Maturity Level-Based Assessment Tool to Enhance the Implementation of Industry 4.0 in Small and Medium-Sized Enterprises. Sustainability, 12(9), Art. 9. https://doi.org/10.3390/su12093559.
• 25. Rauen, H., Anderl, R., Fleischer, J. (2016). Guideline Industrie 4.0. Guiding principles for the implementation of Industrie 4.0 in small and medium sized businesses. https://www.plattform-i40.de/IP/Redaktion/EN/Downloads/Publikation/vdma-guideline- industrie-40.html.
• 26. Schuh, G., Scheuer, T., Nick, G., Szaller, Á., Várgedő, T. (2021). A two-step digitalization level assessment approach for manufacturing companies. Procedia Manufacturing, 54, 25-30. https://doi.org/10.1016/j.promfg.2021.07.005.
• 27. Stawiarska, E., Szwajca, D., Matusek, M., Wolniak, R. (2021). Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland. Sustainability, 13(9), Art. 9. https://doi.org/10.3390/ su13094867.
• 28. Stock, T., Seliger, G. (2016). Opportunities of Sustainable Manufacturing in Industry 4.0. Procedia CIRP, 40, 536-541. https://doi.org/10.1016/j.procir.2016.01.129.
• 29. Wang, Y., Tran, T., Anderl, R. (2018). Toolbox Approach for the Development of New Business Models in Industrie 4.0. Proceedings of the World Congress on Engineering and Computer Science WCECS, II.
• 30. Zoubek, M., Poor, P., Broum, T., Basl, J., Simon, M. (2021). Industry 4.0 Maturity Model Assessing Environmental Attributes of Manufacturing Company. Applied Sciences, 11(11), Art. 11. https://doi.org/10.3390/app11115151.

Identyfikatory

DOI

10.29119/1641-3466.2023.171.6