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Abstract

Industry 4.0 (I4.0) is a new model of technology systems automation, based on the convergence of technologies that make up the concept of intelligent manufacturing, integrated with information and communication technologies that have been applied in a new way (cloud computing, big data analytics and AI), and the basis of distributed control. This approach has brought unprecedented opportunities to manufacturing systems, especially in the fields of planning and control, from resource to supply chains levels. For this reason, enterprise resource planning (ERP) is being researched and developed, which is based on the use of I4.0 elements: internet of things (IoT), big data analytics (BDA), AI and cloud computing (CC), which in this paper show.

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References

  1. Majstorovic, V.D., Mitrovic, R.: Industry 4.0 programs worldwide. In: Monostori, L., Majstorovic, V.D., Hu, S.J., Djurdjanovic, D. (eds.) AMP 2019. LNME, pp. 78–99. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18180-2_7

    Chapter  Google Scholar 

  2. Majstorović, V.D., et al.: Cyber-physical manufacturing in context of industry 4.0 model. In: Ni, J., Majstorovic, V.D., Djurdjanovic, D. (eds.) AMP 2018. LNME, pp. 227–238. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-89563-5_17

    Chapter  Google Scholar 

  3. N.N.: ERP and Industry 4.0. https://www.centrosoftware.com/en/erp-and-industry-4.0. Accessed Mar 2020

  4. Ahmad, M., Cuenca, R.: Critical success factors for ERP implementation in SMEs. Robot. Comput. Integr. Manuf. 29, 104–111 (2013). https://doi.org/10.1016/j.rcim.2012.04.019

    Article  Google Scholar 

  5. Cadavid, J.P.U., Lamouri, S., Grabot, B., Fortin, A.: Machine learning in production planning and control: a review of empirical literature. IFAC Papers Online 52(13), 385–390 (2019). https://doi.org/10.1016/j.ifacol.2019.11.155

  6. Kusiak, A.: Fundamentals of smart manufacturing: a multi-thread perspective. Ann. Rev. Control 47, 214–220 (2019). https://doi.org/10.1016/j.arcontrol.2019.02.001

    Article  Google Scholar 

  7. Usuga Cadavid, J.P., Lamouri, S., Grabot, B., Pellerin, R., Fortin, A.: Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0. J. Intell. Manuf. 31(6), 1531–1558 (2020). https://doi.org/10.1007/s10845-019-01531-7

    Article  Google Scholar 

  8. Osterrieder, P., Budde, L., Friedli, T.: The smart factory as a key construct of industry 4.0: a systematic literature review. Int. J. Prod. Econ. 211, 35–51 (2019). https://doi.org/10.1016/j.ijpe.2019.08.011

    Article  Google Scholar 

  9. N.N.: A brief history of ERP – since 1960 and the future of ERP. https://www.erp-information.com/history-of-erp.html. Accessed Mar 2020

  10. Bendul, J.C., Blunck, H.: The design space of production planning and control for Industry 4.0. Comput. Ind. 105, 260–272 (2019). https://doi.org/10.1016/j.compind2018.10.010

    Article  Google Scholar 

  11. Hochmuth, C.A., Bartodziej, C., Schwägler, C.: Industry 4.0 is your ERP system ready for the digital era? (2017). https://www2.deloitte.com/content/dam/Deloitte/de/Documents/technology/Deloitte_ERP_Industrie-4-0_Whitepaper.pdf. Accessed Feb 2020

  12. Panetto, H., Iung, B., Ivanov, D., Weichhart, G., Wang, X.: Challenges for the cyber-physical manufacturing enterprises of the future. Ann. Rev. Control 47, 200–213 (2019). https://doi.org/10.1016/j.arcontrol.2019.02.002

    Article  Google Scholar 

  13. Majstorovic, V., et al.: I4.0 for SMEs. Project, Faculty of Mechanical Engineering, Belgrade (2019)

    Google Scholar 

  14. Lalic, B., Medic, N., Delic, M., Tasic, N., Marjanovic, U.: Open innovation in developing regions: an empirical analysis across manufacturing companies. Int. J. Ind. Eng. Manage. 8(3), 111–120 (2017)

    Google Scholar 

  15. Olson, D.L., Johansson, B., De Carvalho, R.A.: Open source ERP business model framework. Robot. Comput. Integr. Manuf. 50, 30–36 (2018). https://doi.org/10.1016/j.rcim.2015.09.007

    Article  Google Scholar 

  16. Longo, F., Nicoletti, L., Padovano, A.: Ubiquitous knowledge empowers the smart factory: the impacts of a service-oriented digital twin on enterprises’ performance. Ann. Rev. Control 47, 221–236 (2019). https://doi.org/10.1016/j.arcontrol.2019.01.001

    Article  Google Scholar 

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Majstorovic, V., Stojadinovic, S., Lalic, B., Marjanovic, U. (2020). ERP in Industry 4.0 Context. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-030-57993-7_33

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  • DOI: https://doi.org/10.1007/978-3-030-57993-7_33

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