Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities

Tse Ho

doi:doi:10.11648/j.ajomis.20160101.13

| Peer-Reviewed

Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities

Tse Ho

Published in American Journal of Operations Management and Information Systems (Volume 1, Issue 1)

Received: 12 October 2016 Accepted: 1 November 2016 Published: 23 November 2016

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Digital innovations in connection with the Building Information Modeling (BIM) enable better integration and interaction of various forms of building information and data created throughout the lifecycle of the facilities concerned. However, without widely accepted role model or practical framework on BIM-integrated building maintenance, many maintenance professionals might consider BIM implementation and asset management as isolated practices and would find it difficult to retrieve and use relevant BIM-derived information for asset-related decision making and monitoring when taking over the as-constructed BIM model in project completion stage, resulting in significant reduction in efficiency and productivity in asset management (AM). The purposes of this paper were (i) to summarize the major obstacles in use of BIM as far as maintenance personnel are concerned; (ii) propose steps in setting up AM-customized BIM requirements in early modeling stage to avoid information loss when going through different life cycle stages and (iii) develop a practical methodology with work practices to use BIM in maintenance phase. A case study of BIM deployment in asset management of electrical & mechanical (E&M) facilities in a typical public sewage pumping station serves as an example showing how challenges are experienced and overcome. The findings of the study indicate that there is a high potential for BIM benefits in asset management provided that an over-arching BIM corporate strategy, interoperability of BIM model integrated with in-service maintenance management system, and customized user applications in work routines are implemented.

Published in	American Journal of Operations Management and Information Systems (Volume 1, Issue 1)
DOI	10.11648/j.ajomis.20160101.13
Page(s)	17-33
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

BIM, COBie, Asset Management, Fault Tree Analysis, Paperless Workflow, Color-Code Asset Health Index

References

[1]	I. Motawa, A. Almarshad, A knowledge-based BIM system for building maintenance, Automation in Construction 29 (2013) 173–182.
[2]	R. Tulenheimo, Challenges of implementing new technologies in the world of BIM–case study from construction engineering industry in Finland, Procedia Economics and Finance 21 (2015) 469–477.
[3]	A. Porwal, K. N. Hewage, Building information modeling partnering framework for public construction projects, Automation in Construction 31 (2013) 204–214.
[4]	R. Volk, J. Stengel, F. Schultmann, Building information modeling for existing buildings–literature review and future needs, Automation in Construction 38 (2014) 109 – 127.
[5]	C. Merschbrock, B. E. Munkvold, Effective digital collaboration in the construction industry–a case study of BIM deployment in a hospital construction project, Computers in Industry 73 (2015) 1–7.
[6]	C. Eastman, P. Teicholz, BIM handbook–a guide to building information modeling for owners, managers, designers, engineers and contractors, Aufl, 2, Wiley, Hoboken, 2011.
[7]	A. Motamedi, A. Hammad, Y. Asen, Knowledge-assisted BIM-based visual analytic for failure root cause detection in facilities management, Automation in Construction 43 (2014) 73–83.
[8]	S. R. Mobandes, C. Preece, A. Hedayati, Exploiting the effectiveness of building information modeling during the stage of post construction, Journal of Basic and Applied Scientific Research, 4 (10) 5–16, 2014.
[9]	K. Barlish, K. Sullivan, How to measure the benefits of BIM-a case study approach, Automation in Construction 24 (2012) 149-159.
[10]	B. R. Kyle, D. J. Vanier, B. Kosovac, T. M. Froese, Visualizer: an interactive, graphical, decision-support tool for service life predication for asset managers, Proceedings of the 9th International Conference on Durability of Building Materials and Components, Australia (2002).
[11]	J. A. E. Ten Veldhuis, F. H. L. R. Clemens, P. H. A. J. M. Van Gelder, Fault tree for urban flooding, 11th International Conference on Urban Drainage, Edinburgh, Scotland, UK (2008).

Cite This Article

Plain Text BibTeX RIS

APA Style

Tse Ho. (2016). Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities. American Journal of Operations Management and Information Systems, 1(1), 17-33. https://doi.org/10.11648/j.ajomis.20160101.13

Copy | Download

ACS Style

Tse Ho. Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities. Am. J. Oper. Manag. Inf. Syst. 2016, 1(1), 17-33. doi: 10.11648/j.ajomis.20160101.13

Copy | Download

AMA Style

Tse Ho. Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities. Am J Oper Manag Inf Syst. 2016;1(1):17-33. doi: 10.11648/j.ajomis.20160101.13

Copy | Download

@article{10.11648/j.ajomis.20160101.13,
  author = {Tse Ho},
  title = {Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities},
  journal = {American Journal of Operations Management and Information Systems},
  volume = {1},
  number = {1},
  pages = {17-33},
  doi = {10.11648/j.ajomis.20160101.13},
  url = {https://doi.org/10.11648/j.ajomis.20160101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20160101.13},
  abstract = {Digital innovations in connection with the Building Information Modeling (BIM) enable better integration and interaction of various forms of building information and data created throughout the lifecycle of the facilities concerned. However, without widely accepted role model or practical framework on BIM-integrated building maintenance, many maintenance professionals might consider BIM implementation and asset management as isolated practices and would find it difficult to retrieve and use relevant BIM-derived information for asset-related decision making and monitoring when taking over the as-constructed BIM model in project completion stage, resulting in significant reduction in efficiency and productivity in asset management (AM). The purposes of this paper were (i) to summarize the major obstacles in use of BIM as far as maintenance personnel are concerned; (ii) propose steps in setting up AM-customized BIM requirements in early modeling stage to avoid information loss when going through different life cycle stages and (iii) develop a practical methodology with work practices to use BIM in maintenance phase. A case study of BIM deployment in asset management of electrical & mechanical (E&M) facilities in a typical public sewage pumping station serves as an example showing how challenges are experienced and overcome. The findings of the study indicate that there is a high potential for BIM benefits in asset management provided that an over-arching BIM corporate strategy, interoperability of BIM model integrated with in-service maintenance management system, and customized user applications in work routines are implemented.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities
AU  - Tse Ho
Y1  - 2016/11/23
PY  - 2016
N1  - https://doi.org/10.11648/j.ajomis.20160101.13
DO  - 10.11648/j.ajomis.20160101.13
T2  - American Journal of Operations Management and Information Systems
JF  - American Journal of Operations Management and Information Systems
JO  - American Journal of Operations Management and Information Systems
SP  - 17
EP  - 33
PB  - Science Publishing Group
SN  - 2578-8310
UR  - https://doi.org/10.11648/j.ajomis.20160101.13
AB  - Digital innovations in connection with the Building Information Modeling (BIM) enable better integration and interaction of various forms of building information and data created throughout the lifecycle of the facilities concerned. However, without widely accepted role model or practical framework on BIM-integrated building maintenance, many maintenance professionals might consider BIM implementation and asset management as isolated practices and would find it difficult to retrieve and use relevant BIM-derived information for asset-related decision making and monitoring when taking over the as-constructed BIM model in project completion stage, resulting in significant reduction in efficiency and productivity in asset management (AM). The purposes of this paper were (i) to summarize the major obstacles in use of BIM as far as maintenance personnel are concerned; (ii) propose steps in setting up AM-customized BIM requirements in early modeling stage to avoid information loss when going through different life cycle stages and (iii) develop a practical methodology with work practices to use BIM in maintenance phase. A case study of BIM deployment in asset management of electrical & mechanical (E&M) facilities in a typical public sewage pumping station serves as an example showing how challenges are experienced and overcome. The findings of the study indicate that there is a high potential for BIM benefits in asset management provided that an over-arching BIM corporate strategy, interoperability of BIM model integrated with in-service maintenance management system, and customized user applications in work routines are implemented.
VL  - 1
IS  - 1
ER  -

Copy | Download

Author Information

Tse Ho

Drainage Services Department, The Government of the Hong Kong Special Administrative Region, Hong Kong, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Tse Ho. (2016). Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities. American Journal of Operations Management and Information Systems, 1(1), 17-33. https://doi.org/10.11648/j.ajomis.20160101.13

Copy | Download

ACS Style

Tse Ho. Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities. Am. J. Oper. Manag. Inf. Syst. 2016, 1(1), 17-33. doi: 10.11648/j.ajomis.20160101.13

Copy | Download

AMA Style

Tse Ho. Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities. Am J Oper Manag Inf Syst. 2016;1(1):17-33. doi: 10.11648/j.ajomis.20160101.13

Copy | Download

@article{10.11648/j.ajomis.20160101.13,
  author = {Tse Ho},
  title = {Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities},
  journal = {American Journal of Operations Management and Information Systems},
  volume = {1},
  number = {1},
  pages = {17-33},
  doi = {10.11648/j.ajomis.20160101.13},
  url = {https://doi.org/10.11648/j.ajomis.20160101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20160101.13},
  abstract = {Digital innovations in connection with the Building Information Modeling (BIM) enable better integration and interaction of various forms of building information and data created throughout the lifecycle of the facilities concerned. However, without widely accepted role model or practical framework on BIM-integrated building maintenance, many maintenance professionals might consider BIM implementation and asset management as isolated practices and would find it difficult to retrieve and use relevant BIM-derived information for asset-related decision making and monitoring when taking over the as-constructed BIM model in project completion stage, resulting in significant reduction in efficiency and productivity in asset management (AM). The purposes of this paper were (i) to summarize the major obstacles in use of BIM as far as maintenance personnel are concerned; (ii) propose steps in setting up AM-customized BIM requirements in early modeling stage to avoid information loss when going through different life cycle stages and (iii) develop a practical methodology with work practices to use BIM in maintenance phase. A case study of BIM deployment in asset management of electrical & mechanical (E&M) facilities in a typical public sewage pumping station serves as an example showing how challenges are experienced and overcome. The findings of the study indicate that there is a high potential for BIM benefits in asset management provided that an over-arching BIM corporate strategy, interoperability of BIM model integrated with in-service maintenance management system, and customized user applications in work routines are implemented.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Challenges of Adopting Knowledge-based Building Information Modeling for E & M Asset Management Supplemented with Mobile Solutions–A Case Study in Public Sewage Pumping Facilities
AU  - Tse Ho
Y1  - 2016/11/23
PY  - 2016
N1  - https://doi.org/10.11648/j.ajomis.20160101.13
DO  - 10.11648/j.ajomis.20160101.13
T2  - American Journal of Operations Management and Information Systems
JF  - American Journal of Operations Management and Information Systems
JO  - American Journal of Operations Management and Information Systems
SP  - 17
EP  - 33
PB  - Science Publishing Group
SN  - 2578-8310
UR  - https://doi.org/10.11648/j.ajomis.20160101.13
AB  - Digital innovations in connection with the Building Information Modeling (BIM) enable better integration and interaction of various forms of building information and data created throughout the lifecycle of the facilities concerned. However, without widely accepted role model or practical framework on BIM-integrated building maintenance, many maintenance professionals might consider BIM implementation and asset management as isolated practices and would find it difficult to retrieve and use relevant BIM-derived information for asset-related decision making and monitoring when taking over the as-constructed BIM model in project completion stage, resulting in significant reduction in efficiency and productivity in asset management (AM). The purposes of this paper were (i) to summarize the major obstacles in use of BIM as far as maintenance personnel are concerned; (ii) propose steps in setting up AM-customized BIM requirements in early modeling stage to avoid information loss when going through different life cycle stages and (iii) develop a practical methodology with work practices to use BIM in maintenance phase. A case study of BIM deployment in asset management of electrical & mechanical (E&M) facilities in a typical public sewage pumping station serves as an example showing how challenges are experienced and overcome. The findings of the study indicate that there is a high potential for BIM benefits in asset management provided that an over-arching BIM corporate strategy, interoperability of BIM model integrated with in-service maintenance management system, and customized user applications in work routines are implemented.
VL  - 1
IS  - 1
ER  -

Copy | Download