PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Managing Industry 4.0 integration - the Industry 4.0 Knowledge & Technology Framework

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Background: This paper has the aim to address the key area of managing complex Industry 4.0 production systems to support a successful adoption and integration of Industry 4.0. This is achieved by approaching methodological research challenges of Industry 4.0 in the form of lacking reference models and the need to establish common definitions of fundamental concepts. The general underlying challenge this paper aims to contribute to solve can therefore be defined as how the technological advances, like CPS, IoT, Big Data or CC can be best linked with each other on different levels of perspective and how they can be used by decision-makers to generate economic value and to improve existing processes. This is achieved through the introduction of the Industry 4.0 Knowledge & Technology Framework (IKTF). Methods: The Industry 4.0 Knowledge Framework (IKTF) is based on the concept of the micro-meso-macro analysis framework and consequently is representative for the approach of micro-meso-macro analysis in managerial practice. It proposes three categories of factors and places them in three basic levels layering them on top of each other. The macrolevel includes the financial, political and sociocultural factors that influence Industry 4.0. The meso-level includes the technical and organizational factors. The micro-level refers to individual factors, particularly individual companies’ intention to use Industry 4.0 in practical economic contexts. Results: The Industry 4.0 Knowledge & Technology Framework (IKTF) provides guidance to corporate decision makers by providing a comprehensive, multi-level sequential integration framework for Industry 4.0 based on a sequential micro, meso and macro perspective analysis of the individual corporate context. The aim of the IKTF is to support an informed and successful managerial decision-making process and therefore enable the integration of Industry 4.0 in a corporate context. Conclusion: As a first step, the structure, and contents of the IKTF are sequentially introduced and described. In a second and final step the functionality and applicability of the IKTF are demonstrated and discussed on a theoretical and practical level with the help of a case study.
Czasopismo
Rocznik
Strony
569--586
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
autor
  • University of Lincoln, Lincoln, UK
  • School of Computer Science, University of Lincoln, Lincoln, UK
Bibliografia
  • 1. Autodesk.,2021. website: www.autodesk.com/customer-stories/airbus
  • 2. Camarinha-Matos L., Fornasiero R., Asfarmanesh H., 2017. Collaborative Networks as a Core Enabler of Industry 4.0, Collaboration in a Data-Rich World, Springer, PRO-VE 2017. IFIP Advances in Information and Communication Technology, 506: 3-17, http://doi.org/10.1007/978-3-319-65151- 4_1
  • 3. Congressional Research Service, 2020. Global Economic Effects of COVID-19. World Economic Outlook. International Monetary Fund. April 2020.
  • 4. Dopfer K., Foster J., Potts J., 2004. micromeso-macro. Journal of Evolutionary Economics, 14(3):263-279, http://doi.org/10.1007/s00191-004-0193-0
  • 5. Fraunhofer IPT. 2019., INDUSTRIE 4.0 - Vernetzte, Adaptive Produktion. Frauenhofer Institut für Produktionstechnologie: 3-7.
  • 6. Freund L., Al-Majeed S., 2020. The Industry 4.0 Knowledge & Technology Framework. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(9), 6321-6339, ISSN 1567-214x
  • 7. Freund L., Al-Majeed S., 2020. Cyber-physical systems as sources of dynamic complexity in cyber-physical systems of systems. 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), Sakheer, Bahrain, 2020, 1-5, http://doi.org/10.1109/3ICT51146.2020.9312015
  • 8. Freund L., Al-Majeed S., 2021., Hypotheses concerning complexity surges in modern and future industrial information systems. Logforum 17 (3), 1. http://doi.org/10.17270/J.LOG.2021.3.1
  • 9. Freund L., Al-Majeed S., Millard A., 2021. Case Studies Key-Findings of a Strategic Complexity Management Framework for Industrial Manufacturing Systems. 2021 16th International Conference of System of Systems Engineering (SoSE), 2021, 55-60, http://doi.org/10.1109/SOSE52739.2021.9497489.
  • 10. Gaham M., Bouzouia B., Achour N., 2013. Human-in-the-Loop Cyber-Physical Production Systems [Control HiLCP2sC) A Multi-objective interactive framework Proposal. in: Service Orientation in Holonic and Multi-agent Manufacturing, Springer Verlag Berlin Heidelberg: 315-325, http://doi.org/10.1007/978-3-319-15159-5_29
  • 11. Gimpel H., Röglinger M., 2015. Digital transformation: changes and chances. Project Group Business and Information Systems Engineering (BISE) of the Fraunhofer Institute for Applied Information Technology FIT: 1-20
  • 12. Hochwallner M., Ribeiro L., 2018. On the Design Complexity of Cyberphysical Production Systems. Complexity, Vol.18, http://doi.org/10.1155/2018/4632195
  • 13. Horvarth I., Gerritsen B., 2012. Cyber physical systems: concepts, technologies and implementations. Proceedings of TMCE 2012, 1:19-22, ISBN 978-90-5155-082-5
  • 14. Lee J., Bagheri B., 2015. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters 2015 3:18-23, http://doi.org/10.1016/j.mfglet.2014.12.001
  • 15. McAfee A., Brynjolfsson E., 2014. The second machine age. W.W. Norton & Company, New York: 26-34, ISBN: 978-0-393-35064-7
  • 16. Mittal S., Khan M., Romero D., Wuest T., 2019. Smart Manufacturing: Characteristics, Technologies and Enabling Factors. Proceedings of the Institution of Mechanical Engineers 2017 Part B Journal of Engineering Manufacture, 233(5): 1342- 1361, http://doi.org/10.1177/0954405417736547
  • 17. Morrar R., Arman H., Moussa S., 2017. The Fourth Industrial Revolution (Industry 4.0): A Social Innovation Perspective. Technology Innovation Management Review, 7 (11):14-18, http://doi.org/10.22215/TIMREVIEW/1117
  • 18. Nagorny K., Limo-Monteiro P., Barata J., Colombo A., 2017. Big Data Analysis in Smart Manufacturing: A Review. International Journal of Communication, Network and System Sciences, 10: 31-58., http://doi.org/10.4236/ijcns.2017.103003
  • 19. Pillioni V., 2018. How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0. Future Internet, 10 (3), http://doi.org/10.3390/fi10030024
  • 20. Roblek V., Mesko M., Krapez A., 2016. A Complex View of Industry 4.0. Sage Open April-June 2016, 1 (11), http://doi.org/10.1177/2158244016653987
  • 21. Rojko A., 2017. Industry 4.0 Concept: Background and overview. International Journal of Interactive Mobile Technologies, 11(5), http://doi.org/10.3991/ijim.v11i5.7072
  • 22. Turgay T., Emeagwali O., 2012. Hypercompetition: the driving force behind successful business innovations? A critical review of literature, Investment Management and Financial Innovations. 9 (3):111-113, Corpus ID: 55387401
  • 23. Romer P., 1990. Endogenous Technological Change. The Journal of Political Economy. 98(5): 71-102
  • 24. Savastano M., Amendola C., Bellini F., D´Ascenzo F., 2019. Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review. Sustainability. 11 (3):1-3, http://doi.org/10.3390/su11030891
  • 25. Schiliro D. ,2017. A glance at Solow’s growth theory. MPRA Paper No. 84531
  • 26. Serpa S., Ferreira C., 2019. Micro, Meso and Macro Levels of Social Analysis. International Journal of Social Science Studies, 7 (3): 121-131, ISSN 2324-8033
  • 27. Skillton M., Hovsepian F., 2018. The 4th Industrial Revolution, Springer: 282-284
  • 28. Thoben K., Wiesner S., Wuest T., 2016. Industrie 4.0 and Smart Manufacturing -A Review of Research Issues and Application Examples. International Journal of Automation Technology, 11(1):4-19, http://doi.org/10.20965/ijat.2017.p0004
  • 29. Vaidya S., Ambad P., Bhosle S., 2018. Industry 4.0 – A Glimpse. Procedia Manufacturing Volume 20: 233-238, http://doi.org/10.1016/j.promfg.2018.02.034
  • 30. Xu L., Ling L., 2018. Industry 4.0: state of the art and future trends. International journal of production research, 8 (56): 2941-2962, http://doi.org/10.1080/00207543.2018.1444806
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7345d6a8-f059-4ec8-a105-625a9670c5f6
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.