Predictive maintenance in construction industry – opportunities and barriers of implementation

openaccess, Vol. 604 (12) 2022 / wtorek, 27 grudnia, 2022

(Open Access)

DOI: 10.15199/33.2022.12.27

Gajzler Marcin. 2022. Predictive maintenance in construction industry – opportunities and barriers of implementation. Volume 604. Issue 12. Pages 101-103. Article in PDF file

Accepted for publication: 19.10.2022 r.

The article defines the concept of predictive maintenance. Basis of experience from its use in production, the concept of predictivemaintenance in construction was discussed. For this purpose, the assumptions of technical management support system were used. An analysis of the opportunities and barriers of the system from the point of view of its creation and application was made. On this basis, conclusions were formulated indicating the reason of building a system using approach of predictive maintenance and its application.
  1. Mobley RK. An Introduction to Predictivemaintenance, Butterworth Heinemann, Amsterdam.
  2. Trzcieliński S. Stan dostosowania systemów utrzymania ruchu do warunków Przemysłu 4.0. w: Zarządzanie strategiczne w dobie cyfrowej gospodarki sieciowej, S. Gregorczyk, G. Urbanek (red.), WUŁ, Łódź 2020, DOI: 10.18778/8220-335-6.24.
  3. Almobarek M, Mendibil K, Alrashdan A. Predictive Maintenance 4.0 for Chilled Water Systemat Commercial Buildings: ASystematic Literature Review. Buildings. 2022. DOI: 10.3390/buildings12081229.
  4. Ustawa z 7 lipca 1994 r. Prawo budowlane.
  5. Kosicka E, Mazurkiewicz D, Gola A. Problemy wspomagania decyzji systemach utrzymania ruchu. Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska. 2016. DOI: 10.5604/01.3001.0009.5189.
  6.  Selcuk S. Predictive maintenance, its implementation and latest trends. Proc. Inst.Mech.Eng. PartBJ.Eng.Manuf. 2017.DOI: 10.1177/0954405415601640.
  7. Peeters P, Couvreur G, Razinkov O, Kundig C, Van der Auweraer H, De Roeck G. Continuous Monitoring Of The Oresund Bridge: System And Data Analysis. Structure andInfrastructureEngineering.2009.DOI:10.1080/15732470701478362.
  8. Gajzler M. Supporting the technical management of residential buildings in the process of their exploitation. Archives of Civil Engineering. 2021, 67 (2).
  9. Bucoń R, Czarnigowska A. A model to support long-term building maintenance planning for multifamily housing. Journal of Building Engineering. 2021. DOI: 10.1016/j.jobe. 2021.103000.
dr inż. Marcin Gajzler, Politechnika Poznańska, Wydział Inżynierii Lądowej i Transportu ORCID: 0000-0001-5436-4342

dr inż. Marcin Gajzler, Politechnika Poznańska, Wydział Inżynierii Lądowej i Transportu ORCID: 0000-0001-5436-4342

 marcin.gajzler@put.poznan.pl

Full paper:

DOI: 10.15199/33.2022.12.27

Article in PDF file