nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

Strategic Roadmap for Digital Transformation Based on Measuring Industry 4.0 Maturity and Readiness

verfasst von : Sandro Breval Santiago, Jose Reinaldo Silva

Erschienen in: Innovative Intelligent Industrial Production and Logistics

Verlag: Springer Nature Switzerland

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Digital transformation emerged as a strategic imperative for organizations in the era of Industry 4.0. As disruptive technologies reshape industries and business models, organizations must navigate this evolving landscape to remain competitive and relevant. Maturity models directed to Industry 4.0 offer a valuable framework to assess an organization’s current state, identify gaps, and develop a strategic roadmap for successful digital transformation. Digital transformation is a complex and multifaceted journey that requires a well-defined roadmap to guide organizations through leveraging digital technologies and capabilities. Therefore, a practical and sound approach to developing a roadmap is the basis for achieving a successful digital transformation strategy. A structured approach, based on building blocks, can lead to a systematic plan to implement digital initiatives. In this article, we will explore creating a roadmap to digital transformation using building blocks.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Industrial Communication with Semantic Integration Patterns

Nächstes Kapitel MBSE- Based Construction Method of Unified Information Model for Production Equipment

Alcácer, V., Rodrigues, J., Carvalho, H., Cruz-Machado, V.: Industry 4.0 maturity follow-up inside an internal value chain: a case study. Int. J. Adv. Manuf. Technol. 119, 5035–5046 (2022). https://doi.org/10.1007/s00170-021-08476-3CrossRef

Almada-Lobo, F.: The industry 4.0 revolution and the future of manufacturing execution systems (MES). J. Innovation Manag. 3, 16–21 (2016). https://doi.org/10.24840/2183-0606_003.004_0003CrossRef

Alrajeh, D., Cailliau, A., Lamsweerde, A.: Adapting requirements models to varying environments. In: Proceedings of ACM Conference. ACM (2020)

Azevedo, A., Santiago, S.B.: Design of an assessment industry 4.0 maturity model: an application to manufacturing company. In: Proceedings of the International Conference on Industrial Engineering and Operations Management, Toronto, ON, Canada, pp. 23–25 (2019)

Bi, Z., Xu, L.D., Wang, C.: Internet of things for enterprise systems of modern manufacturing. IEEE Trans. Ind. Inform. 10, 1537–1546 (2014). https://doi.org/10.1109/TII.2014.2300338CrossRef

Burns, T., Cosgrove, J., Doyle, F.: A review of interoperability standards for industry 4.0. In: Procedia Manufacturing, vol. 38, pp. 646–653. Elsevier B.V. (2019). https://doi.org/10.1016/j.promfg.2020.01.083

Caiado, R.G.G., et al.: A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management. Int. J. Prod. Econ. 231, 107883 (2021). https://doi.org/10.1016/j.ijpe.2020.107883CrossRef

Cloutier, R., Hutchison, N. (eds.): Guide to theSystems Engineering Body of Knowledge. INCOSE (2023)

Com, W.A., Oberer, B., Erkollar, A.: International journal of organizational leadership leadership 4.0: digital leaders in the age of industry 4.0. Int. J. Organ. Leadersh. 7, 404–412 (2018)CrossRef

10.

Demir, S., Gunduz, M.A., Kayikci, Y., Paksoy, T.: Readiness and maturity of smart and sustainable supply chains: a model proposal. EMJ - Eng. Manag. J. (2022). https://doi.org/10.1080/10429247.2022.2050129CrossRef

11.

Facchini, F., Digiesi, S., Pinto, L.F.R.: Implementation of i4.0 technologies in production systems: opportunities and limits in the digital transformation. In: M., P.A.L.F.A. (ed.) Procedia Computer Science. vol. 200, pp. 1705–1714. Elsevier B.V. (2022). https://doi.org/10.1016/j.procs.2022.01.371

12.

Ghobakhloo, M., Iranmanesh, M.: Digital transformation success under industry 4.0: a strategic guideline for manufacturing SMEs. J. Manuf. Technol. Manag. 32, 1533–1556 (2021). https://doi.org/10.1108/JMTM-11-2020-0455CrossRef

13.

Ghobakhloo, M., Fathi, M.: Corporate survival in industry 4.0 era: the enabling role of lean-digitized manufacturing. J. Manuf. Technol. Manag. 31, 1–30 (2020). https://doi.org/10.1108/JMTM-11-2018-0417CrossRef

14.

Gorecky, D., Schmitt, M., Loskyll, M., Zühlke, D.: Human-machine-interaction in the industry 4.0 era. In: Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014, pp. 289–294. Institute of Electrical and Electronics Engineers Inc. (2014). https://doi.org/10.1109/INDIN.2014.6945523

15.

Govindasamy, A., Arularasan, A.: Readiness and maturity assessment model to measure the industry 4.0 ecosystem. In: Kannan, R.J., Geetha, S., Sashikumar, S., Diver, C. (eds.) International Virtual Conference on Industry 4.0. LNEE, vol. 355, pp. 57–67. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-1244-2_5CrossRef

16.

Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: indeed a silver bullet. J. Market. Theory Pract. 19, 139–152 (2011). https://doi.org/10.2753/MTP1069-6679190202CrossRef

17.

Ivanov, D., Dolgui, A., Sokolov, B.: The impact of digital technology and industry 4.0 on the ripple effect and supply chain risk analytics. Int. J. Prod. Res. 57, 829–846 (2019). https://doi.org/10.1080/00207543.2018.1488086CrossRef

18.

Jepsen, S.C., Mork, T.I., Hviid, J., Worm, T.: A pilot study of industry 4.0 asset interoperability challenges in an industry 4.0 laboratory. In: IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2020, pp. 571–575. IEEE Computer Society (2020). https://doi.org/10.1109/IEEM45057.2020.9309952

19.

Kagermann, H.: Change through digitization—value creation in the age of industry 4.0. In: Albach, H., Meffert, H., Pinkwart, A., Reichwald, R. (eds.) Management of Permanent Change, pp. 23–45. Springer, Wiesbaden (2015). https://doi.org/10.1007/978-3-658-05014-6_2CrossRef

20.

Kim, J.H.: A review of cyber-physical system research relevant to the emerging it trends: industry 4.0, IoT, big data, and cloud computing. J. Ind. Integr. Manag. 02, 1750011 (2017). https://doi.org/10.1142/S2424862217500117CrossRef

21.

Kohnová, L., Papula, J., Salajová, N.: Internal factors supporting business and technological transformation in the context of industry 4.0. Bus. Theory Pract. 20, 137–145 (2019). https://doi.org/10.3846/btp.2019.13

22.

Kusiak, A.: Smart manufacturing. Int. J. Prod. Res. 56, 508–517 (2018). https://doi.org/10.1080/00207543.2017.1351644CrossRef

23.

Liaskos, S., Khan, S.M., Myloupolos, J.: Modeling and reasoning about uncertainty in goal models: a decision-theoretic approach. Softw. Syst. Model. 21, 1–24 (2022). https://doi.org/10.1007/s10270-021-00968-wCrossRef

24.

Mansour, H., Aminudin, E., Mansour, T.: Implementing industry 4.0 in the construction industry- strategic readiness perspective. Int. J. Constr. Manag. 23, 1457–1470 (2021). https://doi.org/10.1080/15623599.2021.1975351CrossRef

25.

Martin, J.: The seven samurai of systems engineering: dealing with the complexity of 7 interrelated systems. In: Proceedings of INCOSE Symposium. INCOSE (2004)

26.

Nakayama, R.S., Spinnola, M.M., Silva, J.R.: A multilayer proposal to a smart home applied to healthcare. Polytechnica 144 (2021). https://doi.org/10.1016/j.cie.2020.106453

27.

Narula, S., Prakash, S., Dwivedy, M., Talwar, V., Tiwari, S.P.: Industry 4.0 adoption key factors: an empirical study on manufacturing industry. J. Adv. Manag. Res. 17, 697–725 (2020). https://doi.org/10.1108/JAMR-03-2020-0039CrossRef

28.

Schuh, G., Scheuer, T., Nick, G., Szaller, A., Vargedo, T.: A two-step digitalization level assessment approach for manufacturing companies. In: Procedia Manufacturing, vol. 54, pp. 25–30. Elsevier B.V. (2020). https://doi.org/10.1016/j.promfg.2021.07.005

29.

Silva, J.R., Macedo, E.C.T., Correa, Y.G., Medeiros, R.F.: A multilayer proposal to a smart home applied to healthcare. Polytechnica 4, 1–14 (2021). https://doi.org/10.1007/s41050-021-00029-7CrossRef

30.

Silva, J.R., Vital, E.L.: Toward a formal design to service-oriented cloud manufacturing. In: Anals of the Automatica Brazilian Congress, vol. 2. Automatica Brazilian Society (2020). https://doi.org/10.48011/asbav2i1.1241

31.

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94, 3563–3576 (2018). https://doi.org/10.1007/s00170-017-0233-1CrossRef

32.

Tjahjono, B., Esplugues, C., Ares, E., Pelaez, G.: What does industry 4.0 mean to supply chain? Procedia Manuf. 13, 1175–1182 (2017). https://doi.org/10.1016/j.promfg.2017.09.191CrossRef

33.

Wagire, A.A., Joshi, R., Rathore, A.P.S., Jain, R.: Development of maturity model for assessing the implementation of industry 4.0: learning from theory and practice. Prod. Plan. Control 32, 603–622 (2021). https://doi.org/10.1080/09537287.2020.1744763CrossRef

34.

Wang, S., Wan, J., Zhang, D., Li, D., Zhang, C.: Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput. Netw. 101, 158–168 (2016). https://doi.org/10.1016/j.comnet.2015.12.017CrossRef

35.

Wang, Y., Ma, H.S., Yang, J.H., Wang, K.S.: Industry 4.0: a way from mass customization to mass personalization production. Adv. Manuf. 5, 311–320 (2017). https://doi.org/10.1007/s40436-017-0204-7CrossRef

Titel: Strategic Roadmap for Digital Transformation Based on Measuring Industry 4.0 Maturity and Readiness
verfasst von: Sandro Breval Santiago
Jose Reinaldo Silva
Verlag: Springer Nature Switzerland
Buch: Innovative Intelligent Industrial Production and Logistics
Print ISBN: 978-3-031-49338-6

Electronic ISBN: 978-3-031-49339-3

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-49339-3_21

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner