Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Leveraging BIM for digital built environment asset management

  • Technical Paper
  • Published:
Innovative Infrastructure Solutions Aims and scope Submit manuscript

Abstract

A National Institute of Standards and Technology (NIST) study shows that all stakeholders in the capital facilities industry waste a huge amount of money looking for, validating, and/or recreating facility information that should be readily available. The total cost of these activities within the capital facilities industries in the United States was conservatively estimated at $15.8 billion in 2002, with two-thirds of that cost occurring during the facilities’ operations and maintenance phase. This is confirmed by the International Facility Management Association (IFMA) Maintenance Survey in 2009, which states that the loss of information generates an added cost of 12.4% of total annual mean O&M costs. Nowadays, standards and specifications have been developed about availability, integrity, and transfer of data and information during the operational phase of an asset life. PAS 1192-3, among these, suggests the use of Building Information Modeling (BIM) models to store and access facility information, but the turning point is the ability to provide different stakeholders with different data, which should be targeted to them, easily accessible, readable, and updatable (and up to date). This research started with the collection of asset managers’ needs and then the definition of new procedures for assets and facility management in a BIM-based workflow focusing on how to allow users to access, use, and update facility data stored in a BIM model without a BIM authoring tool. Examples are shown for: (1) management of rooms occupancy; (2) management of mechanical equipment status; (3) qualitative condition assessment of buildings; and (4) appraisal of the service life of building components and systems according to ISO 15686-8. These four tools allow to compute and control some key indicators of the asset, with also the possibility to compare them inside a portfolio. This paper presents the four tools, paying also attention to the workflows to be followed and to the different data needs of the stakeholders involved.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Aziz ND, Nawawi AH, Ariff NRM (2016) ICT evolution in facilities management (FM): building information modelling (BIM) as the latest technology. Procedia Soc Behav Sci 234:363–371

    Article  Google Scholar 

  2. Kensek K (2015) BIM guidelines inform facilities management databases: a case study over time. Buildings 5(3):899–916

    Article  Google Scholar 

  3. British Standards Institution (PAS 1192-3) (2014) Specification for information management for the operational phase of assets using building information modelling. British Standards Institution, London

    Google Scholar 

  4. Cagle RF (2003) Infrastructure asset management: an emerging direction. In: AACE international transactions, PM21

  5. Fazli A, Fathi S, Enferadi MH, Fazli M, Fathi B (2014) Appraising effectiveness of building information management (BIM). Proj Manag Procedia Technol 16:1116–1125. doi:10.1016/j.protcy.2014.10.126

    Article  Google Scholar 

  6. International Organization for Standardization (ISO 55000) (2013) Asset management—overview, principles and terminology. ISO, Geneva

    Google Scholar 

  7. BBC Bitesize (2015) Decision-making in business. http://goo.gl/35UyRY. Accessed 17 July 2015

  8. Ente Italiano di Unificazione, UNI EN 15221-1 (2007) Facility management—Part 1: Terms and definitions. Ente Italiano di Unificazione, Milano

  9. International Organization for Standardization (ISO 21504) (2015) Project and programme portfolio management. ISO, Geneva

    Google Scholar 

  10. Gallaher MP, O’Connor AC, Dettbarn Jr JL, Gilday LT (2004) Cost analysis of inadequate interoperability in the U.S. Capital Facilities Industry (NIST GCR 04-867). U.S. Department of Commerce Technology Administration, Washington, DC

  11. Teicholz P (2013) BIM for facility managers. IFMA Foundations, Houston

    Google Scholar 

  12. Jung J, Hong S, Jeong S, Kim S, Cho H, Hong S, Heo J (2014) Productive modeling for development of as-built BIM of existing indoor structures. Autom Constr 42:68–77

    Article  Google Scholar 

  13. Wang C, Cho YK, Kim C (2015) Automatic BIM component extraction from point clouds of existing buildings for sustainability applications. Autom Constr 56:1–13

    Article  Google Scholar 

  14. Sabol L (2008) Building information modeling and facility management. Des Construction Strat 1:13

    Google Scholar 

  15. Liu DL, Zhu XB, Xu KL, Fang DM (2014) Design and development of as-built document management system based on BIM. Appl Mech Mater 513–517:2492–2495

    Google Scholar 

  16. Wang S (2013) Integrated digital building delivery system based on BIM and VR technology. Appl Mech Mater 380–384:3193–3197

    Article  Google Scholar 

  17. Kazi AS, Aouad G, Baldwin A (2009) Lifecycle management of facilities components using radio frequency identification and building information model. J Inf Technol Constr 14:238–262

    Google Scholar 

  18. East B (2014 Construction-Operations Building Information exchange (COBie). https://www.wbdg.org/resources/cobie.php. Accessed 8 Sept 2015

  19. M-six (2015) VEO—connecting designer, builders and owners. http://www.m-six.com. Accessed 13 Sept 2015

  20. AR-media (2015) Augmented reality media. http://www.armedia.it. Accessed 13 Sept 2015

  21. Technical Research Centre of Finland—VTT (2015) Mobile augmented reality for building maintenance. https://www.youtube.com/watch?v=uYFtYbqvoq0&feature=youtu.be. Accessed 13 Sept 2015

  22. Behzadan AH, Dong S, Kamat VR (2015) Augmented reality visualization: a review of civil infrastructure system applications. J Adv Eng Inf 29:252–267

    Article  Google Scholar 

  23. Meza S, Turk Z, Dolenc M (2015) Measuring the potential of augmented reality in civil engineering. Adv Eng Softw 90:1–10

    Article  Google Scholar 

  24. Koch C, Neges M, König M, Abramovici M (2014) Natural markers for augmented reality-based indoor navigation and facility maintenance. Autom Constr 48:18–30

    Article  Google Scholar 

  25. Gu N, London K (2010) Understanding and facilitating BIM adoption in the AEC industry. Autom Constr 19(8):988–999. doi:10.1016/j.autcon.2010.09.002

    Article  Google Scholar 

  26. Jung Y, Joo M (2011) Building information modelling (BIM) framework for practical implementation. Autom Constr 20(2):126–133. doi:10.1016/j.autcon.2010.09.010

    Article  Google Scholar 

  27. Parsanezhad P, Dimyadi J (2014) Effective facility management and operations via a BIM-based integrated information system. In: CIB facilities management conference. Technical University of Denmark, Copenhagen, pp 1–12

  28. Uzarski DR, Grussing MN, Clayton JB (2007) Knowledge-based condition survey inspection concepts. J Infrastruct Syst 13(1):72–79

    Article  Google Scholar 

  29. Percy DF, Kobbacy AH (2000) Determining economical maintenance intervals. Int J Prod Econ 67(1):87–94

    Article  Google Scholar 

  30. Ahluwalia SS (2008) A framework for efficient condition assessment of the building infrastructure. University of Waterloo, Waterloo

    Google Scholar 

  31. ASTM, E2018-08 (2008) Standard guide for property condition assessment: baseline property condition assessment process. ASTM, West Conshohocken

    Google Scholar 

  32. Royal Institute of Chartered Surveyors (RICS) (2002) Stock condition surveys—RICS guidance note, 2nd edn. RICS, London

    Google Scholar 

  33. Standard & Poor’s (1995) Property condition assessment criteria. Structured Finance Ratings Real Estate Finance, New York

    Google Scholar 

  34. Department of Infrastructure Australia (1996) Asset and building policy, information sheet 14—condition assessment, a strategic look at your constructed assets. Department of Infrastructure Australia, Canberra

    Google Scholar 

  35. Baird G, Gray J, Isaacs N, Kernohan D, McIndoe D (1996) Building evaluation techniques. McGraw-Hill, New York

    Google Scholar 

  36. Shohet IM (2003) Building evaluation methodology for setting maintenance priorities in hospital buildings. J Constr Manag Econ 21(7):681–692

    Article  Google Scholar 

  37. Johnston DR, McFallan SL, Tiley PA (2002) Implementation of a property standard index. Facilities 20(3/4):136–144

    Article  Google Scholar 

  38. Rodrigues MFS, Teixeira JCM, Cardoso JCP (2010) Building envelope anomalies: a visual survey methodology. Constr Build Mater J 25(5):2741–2750

    Article  Google Scholar 

  39. RILEM 166-RMS, CIB W083 (2003) Condition assessment of roofs—final report of the condition assessment task group. CIB General Secretariat, Delft

  40. Flores-Colen I, De Brito J, De Freitas V (2011) On-site performance assessment of rendering façades for predictive maintenance. Struct Surv 29(2):13–146

    Article  Google Scholar 

  41. Ximenes S, De Brito J, Gaspar PL, Silva A (2015) Modelling the degradation and service life of ETICS in external walls. Mater Struct 48(7):2235–2249

    Article  Google Scholar 

  42. American Society of Civil Engineers (2014) ASCE/SEI 30-14—guideline for condition assessment of the building envelope. American Society of Civil Engineers, Reston

  43. Roulet C-A, Flourentzou F, Labben HH, Santamouris M, Koronaki I, Dascalaki E, Richalet V (2002) ORME: a multicriteria rating methodology for buildings. Build Environ J 37(6):579–586

    Article  Google Scholar 

  44. Salim NAA, Zahari NF (2011) Developing integrated building indicator system (IBIS) (a method of formulating the building condition rating). Procedia Eng 20:256–261

    Article  Google Scholar 

  45. International Organization for Standardization (ISO 15686–1) (2011) Buildings and constructed assets—service life planning—Part 1: General principles and framework. ISO, Geneva

    Google Scholar 

  46. Hovde PJ, Moser K (2004) Performance based methods for service life prediction. CIB report: publication 294. CIB, Rotterdam

    Google Scholar 

  47. Hovde PJ (2005) The factor method—a simple tool to service life estimation. In: Proceedings of 10th DBMC durability of building materials and components, Lyon, France

  48. Moser K (1999) Towards: the practical evaluation of service life—Illustrative application of the probabilistic approach. In: Lacasse MA, Vanier DJ (eds) Proceedings of the 8th DBMC durability of building materials and components 8. Vancouver, NRC Research Press, Ottawa, pp 1319–1329

  49. Re Cecconi F (2004) Engineering method for service life planning: the evolved factor method. In: Proceedings of building for the future: the 16th CIB world building congress, Toronto, Canada

  50. Emídio F, De Brito J, Gaspar P, Silva A (2014) Application of the factor method to the estimation of the service life of natural stone cladding. Constr Build Mater 66:481–493

    Article  Google Scholar 

  51. Silva A, De Brito J, Gaspar P (2016) Methodologies for service life prediction of buildings: with a focus on façade claddings. Springer, Cham

    Book  Google Scholar 

  52. International Organizarion for Standardization (ISO 15686–4) (2014) Building construction—service life planning—Part 4: Service life planning using building information modelling. ISO, Geneva

    Google Scholar 

  53. International Organizarion for Standardization (ISO 16739) (2013) Industry Foundation Classes (IFC) for data sharing in the construction and facility management industries. ISO, Geneva

    Google Scholar 

  54. Becerik-Gerber B, Jazizadeh F (2012) Application areas and data requirements for BIM-enabled facilities management. J Constr Eng Manag 138(March):431–442. doi:10.1061/(ASCE)CO.1943-7862.0000433

    Article  Google Scholar 

  55. International Organization for Standardization (ISO 15686–8) (2008) Buildings and constructed assets—service-life planning—reference service life and service-life estimation. ISO, Geneva

    Google Scholar 

  56. British Standards Institution (PAS 1192-2) (2013) Specification for information management for the capital/delivery phase of construction projects using building information modelling. British Standards Institution, London

    Google Scholar 

  57. Love PED, Simpson I, Hill A, Standing C (2013) From justification to evaluation: building information modeling for asset owners. Autom Constr 35:208–216

    Article  Google Scholar 

  58. Succar B, Kassem M (2015) Macro-BIM adoption: conceptual structures. Autom Constr 57:64–79

    Article  Google Scholar 

  59. UK Ministry of Justice (2016) STD/BIM/P001.1 BIM2AIM Quick Start Guide, version v1.5

  60. Alreshidi E, Mourshed M, Rezgui Y (2017) Factors for effective BIM governance. J Build Eng 10:89–101

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sebastiano Maltese.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Re Cecconi, F., Maltese, S. & Dejaco, M.C. Leveraging BIM for digital built environment asset management. Innov. Infrastruct. Solut. 2, 14 (2017). https://doi.org/10.1007/s41062-017-0061-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s41062-017-0061-z

Keywords