Transition of SMEs towards smart factories: a multi-case survey

• Autorzy: Modrak Vladimir , Soltysova Zuzana , Sobotova Lydia

Identyfikatory

DOI

10.17512/pjms.2024.29.1.14

Warianty tytułu

PL

Przejście MŚP w kierunku inteligentnych fabryk: wielostudium przypadków

• Języki publikacji: EN

Abstrakty

EN

This paper aims to map the current state and future expectations of small and medium-sized enterprises (SMEs) from Industry 4.0 implementation. For the given purpose, a readiness self-assessment survey method was developed and applied for groups of respondents from selected SMEs. This survey focuses on the following three main areas: smart manufacturing, smart logistics, and platform based business models. Each of these areas consists of five sub-areas for which maturity levels are defined. The novelty of the proposed maturity model lies in identifying current maturity levels, and maturity levels where companies would like to be by choosing from the options. The results of the survey showed that, of the three areas mentioned, the highest attention is paid to manufacturing areas, while digital platform business models are of the least interest to SMEs.

PL

Niniejszy artykuł ma na celu zmapowanie obecnego stanu i przyszłych oczekiwań małych i średnich przedsiębiorstw (MŚP) związanych z wdrożeniem Industry 4.0. W tym celu opracowano i zastosowano metodę samooceny gotowości w formie ankiety dla grup respondentów z wybranych MŚP. Ankieta ta koncentruje się na następujących trzech głównych obszarach: inteligentna produkcja, inteligentna logistyka oraz modele biznesowe oparte na platformach. Każdy z tych obszarów składa się z pięciu podobszarów, dla których zdefiniowano poziomy dojrzałości. Wyniki ankiety wykazały, że spośród trzech wymienionych obszarów największą uwagę przywiązuje się do obszarów produkcji, podczas gdy modele biznesowe oparte na platformach cyfrowych cieszą się najmniejszym zainteresowaniem MŚP.

Słowa kluczowe

EN

Industry 4.0; requirements; smart manufacturing; smart logistics; digital business models

PL

Industry 4.0; wymagania; inteligentna produkcja; inteligentna logistyka; cyfrowe modele biznesowe

• Wydawca: Czestochowa University of Technology
• Czasopismo: Polish Journal of Management Studies
• Rocznik: 2024
• Tom: Vol. 29, No. 1
• Strony: 237--254
• Opis fizyczny: Bibliogr. 54 poz., rys., tab.

Twórcy

autor

Modrak Vladimir

• Technical University of Kosice, Faculty of Manufacturing technologies, Slovakia

• https://orcid.org/0000-0001-7194-4963

autor

Soltysova Zuzana

• Technical University of Kosice, Faculty of Manufacturing technologies, Slovakia

• https://orcid.org/0000-0002-6678-0383

autor

Sobotova Lydia

• Technical University of Kosice, Faculty of Mechanical Engineering, Slovakia

• https://orcid.org/0000-0002-1699-245X

Bibliografia

• 1. Aldrich, H., (2014). The democratization of entrepreneurship? Hackers, makerspaces, and crowdfunding. Annual Meeting of the Academy of Management, 10, 1-7.
• 2. Aras, A., Büyüközkan, G., (2023). Digital Transformation Journey Guidance: A Holistic Digital Maturity Model Based on a Systematic Literature Review. Systems, 11(4), 213.
• 3. Bastos, A., De Andrade, M. L. S. C., Yoshino, R. T. and Santos, M. M. D., (2021). Industry 4.0 readiness assessment method based on RAMI 4.0 standards. IEEE Access, 9, 119778-119799.
• 4. Chaopaisarn, P., Woschank, M., (2021). Maturity model assessment of SMART logistics for SMEs. Chiang Mai University Journal of Natural Sciences, 20(2), 1-8.
• 5. Ciriello, R. F., Richter, A. and Schwabe, G., (2019). The paradoxical effects of digital artefacts on innovation practices. European Journal of Information Systems, 28(2), 149- 172
• 6. Colli, M., Berger, U., Bockholt, M., Madsen, O., Møller, C. and 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.
• 7. Dikhanbayeva, D., Shaikholla, S., Suleiman, Z. and Turkyilmaz, A., (2020). Assessment of industry 4.0 maturity models by design principles. Sustainability, 12(23), 9927
• 8. Dima, I. C., Gabrara, J., Modrak, V., Pachura, P. and Popescu, C., (2010). Using the expert systems in the operational management of production. In 11th WSEAS International Conference on Mathematics and Computers in Business and Economics (MCBE’10)- Published by WSEAS Press.
• 9. Facchini, F., Oleśków-Szłapka, J., Ranieri, L. and Urbinati, A., (2020). A maturity model for Logistics 4.0: an empirical analysis and a roadmap for future research. Sustainability, 12(1), 86
• 10. Fitzgeral, M., Kruschwitz, N., Bonnet, D. and Welch, M., (2014). Embracing digital technology: A new strategic imperative. MIT Sloan Management Review, 55(2), 1-12.
• 11. Frank, A. G., Dalenogare, L. S. and Ayala, N. F., (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
• 12. Grefen, P., Vanderfeesten, I., Traganos, K., Domagala-Schmidt, Z. and van der Vleuten, J., (2022). Advancing smart manufacturing in Europe: Experiences from two decades of research and innovation projects. Machines, 10(1), 45.
• 13. Grufman, N., Lyons, S. and Sneiders, E., (2020). Exploring readiness of SMEs for industry 4.0. Complex Systems Informatics and Modeling Quarterly, (25), 54-86.
• 14. Hardy, Q., (2014). Consortium Wants Standards for Internet of Things. New York Times.
• 15. Hatch, M., (2013). The maker movement manifesto: Rules for innovation in the new world of crafters, hackers, and tinkerers. New York: McGraw-Hill.
• 16. Holzner, M., Rauch, E., Orzes, G. and Matt, D. T., (2023). A CANVAS Based Assessment Model to Evaluate SMEs Readiness for Digital Business Models. In Design, Simulation, Manufacturing: The Innovation Exchange. Cham: Springer Nature Switzerland, 36-49.
• 17. Hossain, M., Kauranen, I., (2015). Crowdsourcing: a comprehensive literature review. Strategic Outsourcing: An International Journal, 8(1), 2-22.
• 18. Jiankang, W., Jiuling, X., Qianwen, L. and Kun, L., (2011). Knowledge management maturity models: A systemic comparison. International Conference on Information Management, Innovation Management and Industrial Engineering, 3, 606-609.
• 19. Kagermann, H., Helbig, J., Hellinger, A. and Wahlster, W., (2013). Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0: Deutschlands Zukunft als Produktionsstandort sichern; Abschlussbericht des ArbeitskreisesIndustrie 4.0. Forschungsunion.
• 20. Kane, G.C., Palmer, D., Phillips, A.N., Kiron, D. and Buckley, N., (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review.
• 21. Kolla, S., Minufekr, M. and Plapper, P., (2019). Deriving essential components of lean and industry 4.0 assessment model for manufacturing SMEs. Procedia Cirp, 81, 753-758.
• 22. Kosasi, S., Sulsatri, K., (2019). Enterprise architecture: Key to successful digital business transformation. In 2019 1st International Conference on Cybernetics and Intelligent System (ICORIS), IEEE, 1, 156-161
• 23. Kovács, G., Kot, S., (2016). New logistics and production trends as the effect of global economy changes. Polish Journal of Management Studies, 14(2), 115-126.
• 24. Lestantri, I. D., Janom, N. B., Aris, R. S. and Husni, Y., (2022). The perceptions towards the digital sharing economy among SMEs: Pre-liminary findings. Procedia Computer Science, 197, 82-91.
• 25. Machin, D., Campbell, M. J. and Walters, S. J., (2007). Reliability and method comparison studies. Medical Statistics, 4th ed. Wiley, England, pp. 209.
• 26. Man, M., Modrak, V. and Grabara, J. K., (2011). Marginal cost of industrial production. Polish Journal of Management Studies, 3, 61-68.
• 27. Matt, D. T., Modrak, V. and Zsifkovits, H., (2021). Implementing Industry 4.0 in SMEs: Concepts, Examples and Applications (p. 429). Springer Nature.
• 28. McDonald, R. P., (1999). Test Theory: A Unified Treatment. Mahwah, NJ: Erlbaum.
• 29. Mittal, S., Khan, M. A., Romero, D. and 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.
• 30. Modrak, V. (Ed.), (2017). Mass customized manufacturing: theoretical concepts and practical approaches. CRC Press
• 31. Modrak, V., Marton, D., Kulpa, W. and Hricova, R., (2014). Unraveling complexity in assembly supply chain networks. In 2012 4th IEEE International Symposium on Logistics and Industrial Informatics IEEE, 151-156.
• 32. Motjolopane, I., Chanza, M., (2023). Digital transformation dimensions for evaluating SMEs' readiness for big data analytics and artificial intelligence: A review. International Journal of Research in Business and Social Science, 12(7), 583-595.
• 33. Nambisan, S., (2017). Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship. Entrepreneurship theory and practice, 41(6), 1029-1055
• 34. Nishioka, Y., (2015). Industrial Value Chain Initiative for Smart Manufacturing, Tokyo, Japan.
• 35. Oleśków-Szłapka, J., Wojciechowski, H., Domański, R. and Pawłowski, G., (2019). Logistics 4.0 maturity levels assessed based on GDM (grey decision model) and artificial intelligence in logistics 4.0-trends and future perspective. Procedia Manufacturing, 39, 1734-1742.
• 36. Pacchini, A. P. T., Lucato, W. C., Facchini, F. and Mummolo, G., (2019). The degree of readiness for the implementation of Industry 4.0. Computers in Industry, 113, 103125.
• 37. Park, J., Lee, J., (2015). Presentation on Korea smart factory program. In Proceedings of the international conference on advances in production management systems, Tokyo, Japan (pp. 5-9).
• 38. Rangaswamy, A., Moch, N., Felten, C., Van Bruggen, G., Wieringa, J. E. and Wirtz, J., (2020). The role of marketing in digital business platforms. Journal of Interactive Marketing, 51(1), 72-90.
• 39. Ross, J., (2017). Don’t confuse digital with digitization. MIT Sloan Management Review
• 40. Schumacher, A., Nemeth, T. and Sihn, W., (2019). Road mapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises. Procedia CIRP, 79, 409-414.
• 41. Semeraro, C., Alyousuf, N. and Kedir, N.I., (2023). A Maturity Model for Evaluating the Impact of Industry 4.0 Technologies and Principles in SMEs. Manufacturing Letters, 37, 61-65.
• 42. Sheen, D. P., Yang, Y., (2018). Assessment of readiness for smart manufacturing and innovation in Korea. In 2018 IEEE Technology and Engineering Management Conference (TEMSCON), IEEE, 1-5.
• 43. Shukla, M., Shankar, R., (2024). Readiness assessment for smart manufacturing system implementation: multiple case of Indian small and medium enterprises. International Journal of Computer Integrated Manufacturing, 37(1-2), 224-242.
• 44. Simetinger, F., Basl, J., (2022). A pilot study: An assessment of manufacturing SMEs using a new Industry 4.0 Maturity Model for Manufacturing Small-and Middle-sized Enterprises (I4MMSME). Procedia Computer Science, 200, 1068-1077.
• 45. Smart Manufacturing Leadership Coalition, (2011). Implementing 21st Century Smart Manufacturing: Workshop Summary Report, Washington D.C.
• 46. Soares, N., Monteiro, P., Duarte, F. J. and Machado, R. J., (2021). Extended Maturity Model for Digital Transformation. In Computational Science and Its Applications– ICCSA 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part IV 21. Springer International Publishing, 183-200.
• 47. Soltysova, Z., Modrak, V., (2020). Challenges of the sharing economy for SMEs: A literature review. Sustainability, 12(16), 6504.
• 48. Soltysova, Z., Modrak, V., (2020). Challenges of the sharing economy for SMEs: A literature review. Sustainability, 12(16), 6504.
• 49. Uckelmann, D., (2008). A definition approach to smart logistics. International Conference on Next Generation Wired/Wireless Networking. Berlin, Heidelberg: Springer Berlin Heidelberg
• 50. Vasconcellos, L. R., Junior, P. G. and Rodrigues, F., (2021). An Industry 4.0 Maturity Model Applied to the automotive supply chain. Revista Gestão & Tecnologia, 21(4), 255-268.
• 51. Verma, R., Gustafsson, A., Gustafsson, A., Kristensson, P. and Witell, L., (2012). Customer co-creation in service innovation: a matter of communication? Journal of Service Management, 23, 311–327.
• 52. Williams, C. A., Schallmo, D. and Scornavacca, E., (2022). How Applicable are Digital Maturity Models to SMEs? A Conceptual Framework and Empirical Validation Approach. International Journal of Innovation Management, 26(03), 2240010
• 53. Rauch, E., Vickery, A. R., (2020). Systematic analysis of needs and requirements for the design of smart manufacturing systems in SMEs. Journal of Computational Design and Engineering, 7(2), 129-144.
• 54. Jung, W. K., Kim, D. R., Lee, H., Lee, T. H., Yang, I., Youn, B. D. and Ahn, S. H., (2021), Appropriate smart factory for SMEs: concept, application and perspective. International Journal of Precision Engineering and Manufacturing, 22, 201-215.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).