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An event-driven manufacturing information system architecture for Industry 4.0

Author

Listed:
  • Alfred Theorin
  • Kristofer Bengtsson
  • Julien Provost
  • Michael Lieder
  • Charlotta Johnsson
  • Thomas Lundholm
  • Bengt Lennartson

Abstract

Future manufacturing systems need to be more flexible, to embrace tougher and constantly changing market demands. They need to make better use of plant data, ideally utilising all data from the entire plant. Low-level data should be refined to real-time information for decision-making, to facilitate competitiveness through informed and timely decisions. The Line Information System Architecture (LISA), is presented in this paper. It is an event-driven architecture featuring loose coupling, a prototype-oriented information model and formalised transformation services. LISA is designed to enable flexible factory integration and data utilisation. The focus of LISA is on integration of devices and services on all levels, simplifying hardware changes and integration of new smart services as well as supporting continuous improvements on information visualisation and control. The architecture has been evaluated on both real industrial data and industrial demonstrators and it is also being installed at a large automotive company. This article is an extended and revised version of the paper presented at the 2015 IFAC Symposium on Information Control in Manufacturing (INCOM 2015). The paper has been restructured in regards to the order and title of the chapters, and additional information about the integration between devices and services aspects have been added. The introduction and the general structure of the paper now better highlight the contributions of the paper and the uniqueness of the framework.

Suggested Citation

  • Alfred Theorin & Kristofer Bengtsson & Julien Provost & Michael Lieder & Charlotta Johnsson & Thomas Lundholm & Bengt Lennartson, 2017. "An event-driven manufacturing information system architecture for Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1297-1311, March.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:5:p:1297-1311
    DOI: 10.1080/00207543.2016.1201604
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    Cited by:

    1. Weihua Liu & Jiahui Zhang & Jiahe Hou & Siyu Wang, 2021. "Effect of intelligent logistics transformation announcements on shareholder value: Evidence from Chinese listed firms," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1194-1219, July.
    2. Mahyar Kamali Saraji & Dalia Streimikiene & Grigorios L. Kyriakopoulos, 2021. "Fermatean Fuzzy CRITIC-COPRAS Method for Evaluating the Challenges to Industry 4.0 Adoption for a Sustainable Digital Transformation," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
    3. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
    4. José Celso Contador & Walter Cardoso Satyro & Jose Luiz Contador & Mauro de Mesquita Spinola, 2020. "Flexibility in the Brazilian Industry 4.0: Challenges and Opportunities," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 15-31, June.
    5. Matsumoto, Takao & Chen, Yijun & Nakatsuka, Akihiro & Wang, Qunzhi, 2020. "Research on horizontal system model for food factories: A case study of process cheese manufacturer," International Journal of Production Economics, Elsevier, vol. 226(C).
    6. Robert Bucki & Petr Suchánek, 2019. "Comparative Simulation Analysis of the Performance of the Logistics Manufacturing System at the Operative Level," Complexity, Hindawi, vol. 2019, pages 1-36, May.
    7. D.-Y. Kim & J.-W. Park & S. Baek & K.-B. Park & H.-R. Kim & J.-I. Park & H.-S. Kim & B.-B. Kim & H.-Y. Oh & K. Namgung & W. Baek, 2020. "A modular factory testbed for the rapid reconfiguration of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 661-680, March.
    8. Michela Piccarozzi & Barbara Aquilani & Corrado Gatti, 2018. "Industry 4.0 in Management Studies: A Systematic Literature Review," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    9. Cugno, Monica & Castagnoli, Rebecca & Büchi, Giacomo, 2021. "Openness to Industry 4.0 and performance: The impact of barriers and incentives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    10. Dwivedi, Ashish & Moktadir, Md. Abdul & Chiappetta Jabbour, Charbel José & de Carvalho, Daniel Estima, 2022. "Integrating the circular economy and industry 4.0 for sustainable development: Implications for responsible footwear production in a big data-driven world," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    11. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    12. Kaustav Kundu & Martin J. Land & Alberto Portioli-Staudacher & Jos A. C. Bokhorst, 2021. "Order review and release in make-to-order flow shops: analysis and design of new methods," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 750-782, September.
    13. Junfeng Wang & Yaqin Huang & Qing Chang & Shiqi Li, 2019. "Event-Driven Online Machine State Decision for Energy-Efficient Manufacturing System Based on Digital Twin Using Max-Plus Algebra," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    14. Sharma, Rohit & Jain, Geetika & Paul, Justin, 2023. "Does the world need to change its vaccine distribution strategy for COVID-19?," Technovation, Elsevier, vol. 126(C).
    15. Cheng-Wen Lee & Budi Hasyim & Jan-Yan Lin, 2024. "Digital Technology for Supply Chain Management- marketing Integration," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(1), pages 1-4.
    16. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).
    17. Katarzyna Kolasińska-Morawska & Łukasz Sułkowski & Piotr Buła & Marta Brzozowska & Paweł Morawski, 2022. "Smart Logistics—Sustainable Technological Innovations in Customer Service at the Last-Mile Stage: The Polish Perspective," Energies, MDPI, vol. 15(17), pages 1-33, September.
    18. Barbara Aquilani & Michela Piccarozzi & Tindara Abbate & Anna Codini, 2020. "The Role of Open Innovation and Value Co-creation in the Challenging Transition from Industry 4.0 to Society 5.0: Toward a Theoretical Framework," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    19. Thuy Duong Oesterreich & Julian Schuir & Frank Teuteberg, 2020. "The Emperor’s New Clothes or an Enduring IT Fashion? Analyzing the Lifecycle of Industry 4.0 through the Lens of Management Fashion Theory," Sustainability, MDPI, vol. 12(21), pages 1-29, October.
    20. Alqahtani, Ammar Y. & Gupta, Surendra M. & Nakashima, Kenichi, 2019. "Warranty and maintenance analysis of sensor embedded products using internet of things in industry 4.0," International Journal of Production Economics, Elsevier, vol. 208(C), pages 483-499.
    21. Emanuele Gabriel Margherita & Alessio Maria Braccini, 2021. "Exploring Sustainable Value Creation of Industry 4.0 Technologies Within the Socio-technical Perspective: A Meta-review," Post-Print hal-03410741, HAL.

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