Advertisement

Information Systems Supporting the Optimization of the Prefabrication Process in the Construction Industry—Case Study of a Steel Plant

  • Krystyna AraszkiewiczEmail author
  • Aleksander Szerner
  • Michal Wrochna
Conference paper
  • 75 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Dynamic changes in the macroeconomic environment of enterprises make it necessary to constantly improve production processes in order to maintain a competitive position. This article presents results of a case study on the implementation of digital tools to improve information management and production planning in a steel plant for construction purposes. Presented solutions will be an example of the possibility of using parametric models developed in accordance with the assumptions of the Building Information Modelling method in prefabrication. Tools for task planning and monitoring of material supply, transport to construction and assembly are described. A solution enabling planning changes is also presented, including automatic assignment of machines, employees, according to the importance of their tasks. The case study allows the identification of potential benefits, both organizational and economic, that result from the use of digital tools in the production of prefabricated steel structures. Application limitations, established on the basis of the case study, related to the use of digital solutions, are also indicated. On this basis, an attempt has been made to indicate the direction of further research in the field of digital prefabrication and its impact on the optimization of the production processes of construction companies.

Keywords

Digitalization Prefabrication Construction sector BIM 

References

  1. Babič NČ, Podbreznik P, Rebolj D (2010) Integrating resource production and construction using BIM. Autom Constr 19(5):539–543CrossRefGoogle Scholar
  2. Bortolini R, Formoso CT, Viana DD (2019) Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling. Autom Constr 98:248–264CrossRefGoogle Scholar
  3. Chen K, Lu W, Peng Y, Rowlinson S, Huang GQ (2015) Bridging BIM and building: from a literature review to an integrated conceptual framework. Int J Project Manage 33(6):1405–1416CrossRefGoogle Scholar
  4. Chen YR, Tserng HP (2017) An integrated methodology for construction BIM & ERP by using UML tool. In: Proceedings of the international symposium on automation and robotics in construction (ISARC), vol 34.Google Scholar
  5. Ellinger AD, Watkins KE, Marsick VJ (2005) Case study research methods. In: Swanson RA, Holton EF (ed) Research in organizations: foundations and methods of inquiry. Berrett-Koehler Publishers, San Francisco, pp 328–329Google Scholar
  6. Hallin A, Crevani L, Ivory C, Mörndal M (2017) Digitalisation and work: sociomaterial entanglements in steel production. NFF Nordisk företagsekonomisk förening, Bodø, NorweyGoogle Scholar
  7. Herzog K, Winter G, Kurka G, Ankermann K, Binder R, Ringhofer M, Flick A (2017) The digitalization of steel production. BHM Berg-und Hüttenmännische Monatshefte 162(11):504–513CrossRefGoogle Scholar
  8. Jones SA, Laquidara-Carr D (2016) BIM advancements No. 1. Dodge Data & AnalyticsGoogle Scholar
  9. Joosung L, Jaejun K (2017) BIM-based 4D simulation to improve module manufacturing productivity for sustainable building projects. Sustainability 9:426CrossRefGoogle Scholar
  10. Kerber E, Heimig T, Stumm S, Oster L, Brell-Cokcan S, Reisgen U (2018) Towards robotic fabrication in joining of steel. In: Proceedings of the international symposium on automation and robotics in construction (ISARC), vol 35, pp 1–9Google Scholar
  11. Kulkarni A, Ranjha S, Rajeev P, Sanjayan J, Sierra C (2018) Building information modelling-enhancing productivity in rail infrastructure construction. In: First international conference on 3D construction printing (3DcP), and the 6th international conference on innovative production and construction (IPC 2018), 25–28 November 2018, Melbourne, AustraliaGoogle Scholar
  12. Lu N, Korman T (2010) Implementation of building information modeling (BIM) in modular construction benefits and challenges. In: Construction research congress, Banff, Alberta: American Society of Civil Engineers, 8–10 2010, Banff, Alberta, CanadaGoogle Scholar
  13. Ocheoha IA, Moselhi O (2018) A BIM-based supply chain integration for prefabrication and modularization. Modular Offsite Constr (MOC) Summit Proc 1(1)Google Scholar
  14. Qi Y, Chang S, Ji Y, Qi K (2018) BIM-based incremental cost analysis method of prefabricated buildings in China. Sustainability 10(11):4293CrossRefGoogle Scholar
  15. Stake RE (1995) The art of case study research. SAGE Publications, Thousand Oaks, CAGoogle Scholar
  16. Won J, Cheng JC, Lee G (2016) Quantification of construction waste prevented by BIM-based design validation: case studies in South Korea. Waste Manage 49:170–180CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Krystyna Araszkiewicz
    • 1
    Email author
  • Aleksander Szerner
    • 1
  • Michal Wrochna
    • 1
  1. 1.Faculty of Civil Engineering and ArchitectureWest Pomeranian University of Technology SzczecinSzczecinPoland

Personalised recommendations