Intelligent Manufacturing - a New Understanding of Systems Integration

• Autorzy: Geisert Claudio , Uhlmann Eckart , Polte Julian

Identyfikatory

DOI

10.36897/jme/205697

• Języki publikacji: EN

Abstrakty

EN

The term “intelligent manufacturing” refers to the integration of technologies and systems to optimise the efficiency, flexibility or quality of processes in the context of industrial production. It describes a fully networked production environment in which machines, systems and humans communicate and cooperate. Traditional production methods are being transformed into data-driven, intelligent systems that are able to optimise themselves and react to changes such as disruptions in the production process. This paper analyses the relevance of a new understanding of system integration in the scope of “intelligent manufacturing” and derives the requirements for a target-oriented implementation in production. It also discusses the crucial role of interoperability between different systems and the need for a holistic approach to integration that includes not only technical aspects, but also corporate culture and employee skills. The concept of Empathetic Technical Systems is introduced, which are to be understood as a further development of cognitive systems and enable resilient production through empathetic cooperation. Finally, example scenarios are used to show how “intelligent manufacturing” can be realised with this new understanding of system integration.

Słowa kluczowe

EN

systems integration; empathetic technical systems; resilient; human centered

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2025
• Tom: Vol. 25, No. 2
• Strony: 5--12
• Opis fizyczny: Bibliogr. 25 poz., rys.

Twórcy

autor

Geisert Claudio

• Production Machines and Systems Management, Fraunhofer Institute for Production Systems and Design Technology IPK, Germany

autor

Uhlmann Eckart

• Director, Fraunhofer Institute for Production Systems and Design Technology IPK, Germany
• Institute for Machine Tools and Factory Management (IWF), Technische Universität Berlin, Germany

autor

Polte Julian

• Institute for Machine Tools and Factory Management (IWF), Technische Universität Berlin, Germany
• Production Systems, Fraunhofer Institute for Production Systems and Design Technology IPK, Germany

Bibliografia

• [1] KAGERMANN H., WAHLSTER W., HELBIG J., 2013, Securing the Future of German Manufacturing Industry: Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0, Final Report of the Industrie 4.0 Working Group, acatech.
• [2] PÉREZ-LARA M., SAUCEDO-MARTINÈZ J.A., MARMOLEJO-SAUCEDO J.A., SALAIS-FIERRO T.E., VASANT P., 2020, Vertical and horizontal integration systems in Industry 4.0, Wireless Networks, vol. 26 (2020), Springer, 4767–4775.
• [3] UHLMANN E., HOHWIELER E., KRAFT M., 2013, Self-organization in Manufacturing, Industrie Management, 29, edition 1, 57–61.
• [4] MONOSTORI L., 2014, Cyber-Physical Production Systems: Roots, Expectations and R&D Challenges, Procedia CIRP 17, 9–13.
• [5] MONOSTORI L., KADAR B., BAUERNHANSL T., KONDOH S., KUMARA S., REINHART G., SAUER O., SCHUH G., SIHN W., UEDA K., 2016, Cyber-Physical Systems in Manufacturing, CIRP Annals, 65/2, 621–641.
• [6] UHLMANN E., HOHWIELER E., GEISERT C., 2017, Intelligent Production Systems in the Era of Industrie 4.0 – Changing Mindsets and Business Models, Journal of Machine Engineering, 17/2, 5–24.
• [7] BERTALANFFY L. VON, 1972, The History and State of General Systems Theory, Academy of Management Journal, 15/4, 407–426.
• [8] VON BERTALANFFY L., 1968, General System Theory: Foundations, Development, Applications, New York: George Braziller.
• [9] BELLGRAN M., SÄFSTEN, K., 2010, Production Development – Design and Operation of Production Systems, Springer.
• [10] KOLBERG D., ZÜHLKE D., 2015, Lean Automation Enabled by Industry 4.0 Technologies, IFAC-PapersOnLine, 48/3, Elsevier, 1870–1875.
• [11] GHOFRANI J., DEUTSCHMANN B., DIVBAND SOORATI M., REICHELT D., IHLENFELDT S., 2020, Cognitive Production Systems: A Mapping Study, Proc of IEEE 18th International Conference on Industrial Informatics (INDIN), Warwick, United Kingdom, 15–22.
• [12] BROY M., 2010, Cyber-Physical Systems – Wissenschaftliche Herausforderungen bei der Entwicklung, Broy M. (ed.), Cyber-Physical Systems – Innovation durch Software-intensive eingebettete Systeme, Springer, 17–31.
• [13] LEE J., 2015, Smart Factory Systems, Informatik Spektrum 38, 230–235.
• [14] EUROPEAN COMMISSION: DIRECTORATE-GENERAL FOR RESEARCH AND INNOVATION, RENDA A., SCHWAAG SERGER S., TATAJ D., MORLET A. et al., 2021, Industry 5.0, a Transformative Vision for Europe – Governing Systemic Transformations Towards a Sustainable Industry, Publications Office of the European Union, online available: https://data.europa.eu/doi/10.2777/17322, accessed 13 Feb. 2025.
• [15] ANSARI F., HOLD P., SIHN W., 2018, Human-Centered Cyber Physical Production System: How Does Industry 4.0 Impact on Decision-Making Tasks?, Proc. of 2018 IEEE Technology and Engineering Management Conference (TEMSCON), Evanston, IL, USA, 1–6.
• [16] LOU S., HU Z., FENG Y., ZHOU M., LV C., 2025, Human-Cyber-Physical System for Industry 5.0: A Review from a Human-Centric Perspective, 2025, IEEE Transactions on Automation Science and Engineering, 22, 494–511.
• [17] LIN Y., CHEN L., ALI A., NUGENT C., CLELAND I., LI R., DING J., NING H., 2024, Human Digital Twin: A Survey, Journal of Cloud Computing (2024) 13:131.
• [18] GRIEVES M., VICKERS J., 2017, Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems, Kahlen F.-J., Flumerfelt S., Alves A., Transdisciplinary Perspectives on Complex Systems, Springer International Publishing, 85–113.
• [19] UHLMANN E., POLTE J., MÜHLICH C., ELSIR, Y., 2024, Intelligent Shopfloor Assistants – Increasing Productivity Through the Use of Generative AI, Industry 4.0 Science, 2024, 40/6, 64–71.
• [20] IDTA, 2025, IDTA 02003 – Generic Frame for Technical Data for Industrial Equipment in Manufacturing, Industrial Digital Twin Association, Version 2.0.
• [21] AL HAJ ALI J., GAFFINET B., PANETTO H., NAUDET Y., 2024, Cognitive Systems and Interoperability in the Enterprise: A Systematic Literature Review, Annual Reviews in Control 57, 100954, Elsevier.
• [22] CAMASSA M., 2023, On the Power and Limits of Empathy, Palgrave Macmillan Cham.
• [23] RENTZSCH M., HÄBERER S., 2024, Approaching Self-Organizing Production: Unwrapping the Potential of Empathy, Procedia CIRP, 130, 1687–1694.