Abstract

Advanced information technologies provide an opportunity to radically improve the business process of the architecture, engineering, construction, and operations (AECO) industry. The concept of interoperability, characterized as the representation of information and seamless exchange across interdisciplinary system domains, significantly influences the industry to leverage emerging digital technologies. However, just as representation and exchange contribute, an integrative method for organizing lifecycle information plays a vital role in achieving optimized interoperability. In a practical setting, breakdown structures have been used extensively to organize diverse types of project information for decades and are a vital tool for technical information integration. Nevertheless, their complex characteristics, user-specific ways of construction, and availability of heterogeneous classifications to refer to make integration less coordinated. To address this problem, this paper presents an integrative concept (named unified breakdown structure) and proves its viability. First, fundamental principles and characteristics of breakdown structures were discussed to examine their complexity. Then, an integrative concept was presented, and its viability was examined through an investigation of several cases incorporated with key assessment variables. The findings have revealed that the proposed approach is feasible enough to integrate lifecycle information and be used as a practical integration mechanism.

Practical Application

This paper proposes an approach to integrating facility lifecycle information by introducing a separate set of breakdown structures (named primary breakdown structures). This set of structures will help keep a consistent facet (i.e., identifiers used to construct breakdown structure) across the remaining secondary breakdown structures, thus making information integration more coordinated and exchange smoother. The case analysis validates the proposed concept, showing it to be a useful approach in terms of maximizing the integration within and across disciplinary domains in the industry. For practitioners, the approach minimizes the effort and time spent translating and exchanging the complex range of facility information by keeping homogeneous facets to construct information. Furthermore, as broader data linkage through common data environments is becoming more common, the proposed approach provides a meaningful insight toward simplifying the complexity of constructing secondary breakdown structures in an integrative manner. Additionally, the introduced approach would help the industry efficiently utilize advanced technologies through the advent of optimized integration mechanisms.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

No data, models, or code were generated or used during the study.

Acknowledgments

This study is supported by the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT (MSIT) under Grant No. NRF-2021R1A2C1006997, and by the Korean Ministry of Education (MOE) under Grant No. NRF-2021R1I1A1A01055223. This support is gratefully acknowledged.

References

Adamus, L. W. 2013. “BIM: Interoperability for sustainability analysis in construction.” In Proc., Central Europe Towards Sustainable Building, 499–502. Prague, Czech Republic: Integrated Building Design.
Al-Kasasbeh, M., O. Abudayyeh, and H. Liu. 2021. “An integrated decision support system for building asset management based on BIM and work breakdown structure.” J. Build. Eng. 34 (Feb): 101959. https://doi.org/10.1016/j.jobe.2020.101959.
Barki, H., and A. Pinsonneault. 2005. “A model of organizational integration, implementation effort, and performance.” Organ. Sci. 16 (2): 165–179. https://doi.org/10.1287/orsc.1050.0118.
Bilal, M., L. O. Oyedele, J. Qadir, K. Munir, O. O. Akinade, S. O. Ajayi, H. A. Alaka, and H. A. Owolabi. 2015. “Analysis of critical features and evaluation of BIM software: Towards a plug-in for construction waste minimization using big data.” Int. J. Sustainable Build. Technol. Urban Dev. 6 (4): 211–228. https://doi.org/10.1080/2093761X.2015.1116415.
Caldas, C. H., and L. Soibelman. 2003. “Automating hierarchical document classification for construction management information systems.” Autom. Constr. 12 (4): 395–406. https://doi.org/10.1016/S0926-5805(03)00004-9.
Cerezo-Narvaez, A., A. Pastor-Fernandez, M. Otero-Mateo, and P. Ballesteros-Perez. 2020. “Integration of cost and work breakdown structures in the management of construction projects.” Appl. Sci. 10 (4): 1386. https://doi.org/10.3390/app10041386.
Chang, A. S. T., and Y. W. Tsai. 2003. “Engineering information classification system.” J. Constr. Eng. Manage. 129 (4): 454–460. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:4(454).
Chen, X., A. Y. Chang-Richards, A. Pelosi, Y. Jia, X. Shen, M. K. Siddiqui, and N. Yang. 2021. “Implementation of technologies in the construction industry: A systematic review.” Eng. Constr. Archit. Manage. https://doi.org/10.1108/ECAM-02-2021-0172.
Chua, D. K., and M. Godinot. 2006. “Use of a WBS matrix to improve interface management in projects.” J. Constr. Eng. Manage. 132 (1): 67–79. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:1(67).
Costin, A., and C. Eastman. 2019. “Need for interoperability to enable seamless information exchanges in smart and sustainable urban systems.” J. Comput. Civ. Eng. 33 (3): 04019008. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000824.
CSI (Construction Specification Institute). 2006. OmniClass: Introduction and user’s guide. Alexandria, VA: CSI.
CSI (Construction Specification Institute). 2012. MasterFormat: Master list of numbers and titles for the construction industry. Alexandria, VA: CSI.
Ding, G. K. 2008. “Sustainable construction: The role of environmental assessment tools.” J. Environ. Manage. 86 (3): 451–464. https://doi.org/10.1016/j.jenvman.2006.12.025.
El-Haram, M. A., S. Marenjak, and M. W. Horner. 2002. “Development of a generic framework for collecting whole life cost data for the building industry.” J. Qual. Maint. Eng. 8 (2): 144–151. https://doi.org/10.1108/13552510210430017.
Fan, S. L., C. H. Wu, and C. C. Hun. 2015. “Integration of cost and schedule using BIM.” J. Appl. Sci. Eng. 18 (3): 223–232. https://doi.org/10.6180/jase.2015.18.3.02.
Friedrich, R., M. Le Merie, F. Grone, and A. Koster. 2011. Measuring industry digitization: Leaders and laggards in the digital economy. London: Booz & Company.
Froese, T. M. 2010. “The impact of emerging information technology on project management for construction.” Autom. Constr. 19 (5): 531–538. https://doi.org/10.1016/j.autcon.2009.11.004.
Gebremichael, D. D., H. Lee, Y. Lee, and Y. Jung. 2022. “Unified breakdown structures for standard information exchange in building and plant industry: Variables for theory and implementation.” In Proc., Int. Conf. on Computing in Civil Engineering. Reston, VA: ASCE. https://doi.org/10.1061/9780784483893.089.
Golpayegani, S. A. H., and B. Emamizadeh. 2007. “Designing work breakdown structures using modular neural networks.” Decis. Support Syst. 44 (1): 202–222. https://doi.org/10.1016/j.dss.2007.03.013.
Hameri, A. P., and P. Nitter. 2002. “Engineering data management through different breakdown structures in a large-scale project.” Int. J. Project Manage. 20 (5): 375–384. https://doi.org/10.1016/S0263-7863(01)00029-1.
Harrison, T. J., R. J. Moses, and G. F. Flanagan. 2014. Preliminary development of a work breakdown structure for small modular reactors. Oak Ridge, TN: Oak Ridge National Laboratory.
Haugan, G. T. 2001. Effective work breakdown structure. San Francisco: Berrett-Koehler Publishers.
Helmeid, E. R. 2021. “Development of a hybrid product breakdown structure and variability model.” INSIGHT 24 (1): 22–29. https://doi.org/10.1002/inst.12324.
Hudoyo, C. P., Y. Latief, and L. Sagita. 2019. “Development of WBS (work breakdown structure) risk based standard for planning cost estimation at port project.” IOP Conf. Ser.: Earth Environ. Sci. 258 (1): 012051. https://doi.org/10.1088/1755-1315/258/1/012051.
IAEA (International Atomic Energy Agency). 2010. Application of configuration management in nuclear power plants. Vienna, Austria: IAEA.
Ibbs, C. W., Y. H. Kwak, T. Ng, and A. M. Odabasi. 2003. “Project delivery systems and project change: Quantitative analysis.” J. Constr. Eng. Manage. 129 (4): 382–387. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:4(382).
Ibrahim, Y. M., A. Kaka, G. Aouad, and M. Kagioglou. 2009. “Framework for a generic work breakdown structure for building projects.” Constr. Innovation 9 (4): 388–405. https://doi.org/10.1108/14714170910995930.
INL (Idaho National Laboratory). 2008. Next generation nuclear plant system requirements manual. Idaho, ID: INL.
IOGP (International Association of Oil and Gas Producers). 2020. Capital facilities information handover specification (CFIHOS): Scope and procedure. London: IOGP.
ISO. 1994. Classification of information in the construction industry. ISO 14177: 1994. Geneva: ISO.
ISO. 2004. Industrial automation systems and integration: Integration of life-cycle data for process plants including oil and gas production facilities: Part 1: Overview and fundamental principles. ISO 15926-1:2004. Geneva: ISO.
ISO. 2008. Technical product documentation: Reference designation system: Part 10: Power plants. ISO/TS 16952-10: 2008. Geneva: ISO.
ISO. 2015a. Building construction: Organization of information about construction works: Part 2: Framework for classification. ISO 12006-2: 2015. Geneva: ISO.
ISO. 2015b. Industrial systems, installations and equipment and industrial products: Structuring principles and reference designation: Part 10: Power plants. ISO/TS 81346-10:2015. Geneva: ISO.
ISO. 2018. Industrial systems, installations and equipment and industrial products: Structuring principles and reference designations: Part 12: Construction works and building services. ISO 81346-12: 2018. Geneva: ISO.
ISO. 2019. Automation systems and integration: Oil and gas interoperability: Part1: Overview and fundamental principles. ISO/TS 18101-1: 2019. Geneva: ISO.
ISO. 2020. Industrial automation systems and integration-product data representation and exchange: Part 242: Application protocol: Managed model-based 3D. ISO 10303-242: 2020. Geneva: ISO.
Jeong, J., and J. Jeong. 2021. “Novel approach of the integrated work & risk breakdown structure for identifying the hierarchy of fatal incident in construction industry.” J. Build. Eng. 41 (Sep): 102406. https://doi.org/10.1016/j.jobe.2021.102406.
Jeong, Y., Y. Lee, and Y. Jung. 2020. “Requirements management framework for design management and information characteristics.” Korean J. Constr. Eng. Manage. 21 (6): 3–15. https://doi.org/10.6106/KJCEM.2020.21.6.003.
Jia, P., Q. Gao, X. Ji, and T. Xu. 2014. “Task decomposition method of R&D project based on product structure tree.” J. Software 9 (7): 1894–1902. https://doi.org/10.4304/jsw.9.7.1894-1902.
Jin, Z., S. Kang, Y. Jung, C. G. Koo, and S. H. Choi. 2018. “Issues and needs for standard classifications for facility management in smart manufacturing.” In Proc., Int. Symp. on Automation and Robotics in Construction, 1–8. Berlin: The International Association for Automation and Robotics in Construction Publications.
Jin, Z., S. Kang, Y. Lee, and Y. Jung. 2022. “Standard variables for collective artificial intelligence (AI) applications in construction management (CM).” Autom. Constr.
Jung, Y. 2020. “Advanced work packaging (AWP) in practice: Variables for theory and implementation.” In Proc., 8th Int. Conf. on Construction Engineering and Project Management., 99–117. Hong Kong: International Conference on Construction Engineering and Project Management.
Jung, Y., and G. E. Gibson. 1999. “Planning for computer integrated construction.” J. Comput. Civ. Eng. 13 (4): 217–225. https://doi.org/10.1061/(ASCE)0887-3801(1999)13:4(217).
Jung, Y., M. Kim, and Y. Lee. 2013. “Unified geometry breakdown structure (GBS) for BIM: Variables for theory and implementation.” In Proc., 30th CIB W78 Int. Conf., 183–189. Beijing. International Council for Research and Innovation in Building and Construction.
Jung, Y., B. S. Moon, Y. M. Kim, and W. Kim. 2015. “Integrated cost and schedule control systems for nuclear power plant construction: Leveraging strategic advantages to owners and EPC firms.” Sci. Technol. Nucl. Install. 2015 (Jan): 190925. https://doi.org/10.1155/2015/190925.
Jung, Y., and S. Woo. 2004. “Flexible work breakdown structure for integrated cost and schedule control.” J. Constr. Eng. Manage. 130 (5): 616–625. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:5(616).
Jutglar, G. C. 2017. “Integration of building product data with BIM modelling: A semantic-based product catalogue and rule checking system.” Ph.D. dissertation, Dept. of Architecture, Ramon Llull Univ.
Kähkönen, T. 2017. “Understanding and managing enterprise systems integration.” Ph.D. dissertation, School of Business and Management, Lappeenranta Univ. of Technology.
Kang, M. Y., Y. Jeong, and Y. Jung. 2019. “Assessment methodology of practical configuration management (CM) for sustainable nuclear power plants (NPPs).” Sustainability 11 (8): 2391. https://doi.org/10.3390/su11082391.
Kang, S., Y. Jung, S. Kim, I. Lee, C. Lee, and J. Jeong. 2017. “Preliminary scheduling based on historical and experience data for airport projects.” Korean J. Constr. Eng. Manage. 18 (6): 26–37. https://doi.org/10.6106/KJCEM.2017.18.6.026.
Kang, Y., W. J. O’Brien, and J. T. O’Connor. 2015. “Information-integration maturity model for the capital projects industry.” J. Manage. Eng. 31 (4): 04014061. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000274.
Keating, C., R. Rogers, R. Unal, D. Dryer, A. Sousa-Poza, R. Safford, W. Peterson, and G. Rabadi. 2003. “System of systems engineering.” Eng. Manage. J. 15 (3): 36–45. https://doi.org/10.1080/10429247.2003.11415214.
Kenley, R., and T. Harfield. 2014. “Location breakdown structure (LBS): A solution for construction project management data redundancy.” In Proc., Int. Conf. on Construction in a Changing World, 4–7. Kandalama, Sri Lanka: International Council for Research and Innovation in Building and Construction.
Kim, B., J. S. Lee, and Y. H. Ahn. 2018. “Development of risk breakdown structure of nuclear power plant decommissioning project: Focusing on structural damage/work process risks.” J. Korea Inst. Struct. Maint. Inspection 22 (3): 38–45. https://doi.org/doi:10.11112/JKSMI.2018.22.3.038.
Kim, M., I. Lee, and Y. Jung. 2017. “International project risk management for nuclear power plant (NPP) construction: Featuring comparative analysis with fossil and gas power plants.” Sustainability 9 (3): 469. https://doi.org/10.3390/su9030469.
Kwon, C. H. 2017. “A study on NPP construction activity numbering system for level IV integrated master schedule.” Int. J. Eng. Res. Technol. 6 (10): 195–201.
Lee, D. G., and H. S. Cha. 2015. “Exploratory study on BIM-based information breakdown structure for construction document management.” J. Constr. Eng. Project Manage. 5 (1): 32–39. https://doi.org/10.6106/JCEPM.2015.5.1.032.
Lee, D. G., J. Y. Park, and S. H. Song. 2018. “BIM-based construction information management framework for site information management.” Adv. Civ. Eng. 5249548. https://doi.org/10.1155/2018/5249548.
Lou, E. C. W., and J. S. Goulding. 2008. “Building and construction classification systems.” Archit. Eng. Des. Manage. 4 (3–4): 206–220. https://doi.org/10.3763/aedm.2008.0079.
Mitrofani, I. A., D. M. Emiris, and D. E. Koulouriotis. 2020. “An industrial maintenance decision support system based on fuzzy inference to optimize scope definition.” Procedia Manuf. 51 (Jan): 1538–1543. https://doi.org/10.1016/j.promfg.2020.10.214.
Moon, H., B. Kim, J. Lee, H. Cho, S. Hwang, and Y. Ahn. 2020. “Developing risk breakdown structure for nuclear power plant decommissioning projects in Korea focusing on radioactive concrete dismantle.” Int. J. Sustainable Build. Technol. Urban Dev. 11 (4): 269–281. https://doi.org/10.22712/susb.20200021.
Nam, J. Y., C. W. Jo, and S. H. Park. 2017. “A study on applying information framework for BIM based WBS: Focusing on civil construction.” J. Korea Academia-Ind. Cooperation Soc. 18 (11): 770–777. https://doi.org/10.5762/KAIS.2017.18.11.770.
Park, J., and H. Cai. 2017. “WBS-based dynamic multi-dimensional BIM database for total construction as-built documentation.” Autom. Constr. 77 (May): 15–23. https://doi.org/10.1016/j.autcon.2017.01.021.
Park, S. 2016. “Development of integrated work breakdown structure for small modular reactor project.” Ph.D. dissertation, Dept. of Energy Resource Engineering, Seoul Univ.
Pärn, E. A., D. J. Edwards, and M. C. Sing. 2017. “The building information modelling trajectory in facilities management: A review.” Autom. Constr. 75 (Mar): 45–55. https://doi.org/10.1016/j.autcon.2016.12.003.
Pavan, A., B. Daniotti, F. Re Cecconi, S. Maltese, S. L. Spagnolo, V. Caffi, M. Chiozzi, and D. Pasini. 2014. “INNOVance: Italian BIM database for construction process management.” In Proc., Int. Conf. on Computing in Civil and Building Engineering, 641–648. Reston, VA: ASCE.
Pazlar, T., and Ž. Turk. 2008. “Interoperability in practice: Geometric data exchange using the IFC standard.” J. Inf. Technol. Constr. 13 (24): 362–380.
PMI (Porrect Management Institute). 2021. A guide to the project management body of knowledge (PMBoK). 7h ed. Newtown Square, PA: PMI.
Putra, A. S. P., and Y. Latief. 2020. “Analysis of safety cost structure in infrastructure project of cable stayed bridge based on work breakdown structure (WBS).” IOP Conf. Ser.: Mater. Sci. Eng. 830 (2): 022075. https://doi.org/10.1088/1757-899X/830/2/022075.
Ramadhan, A., Y. Latief, and L. Sagita. 2019. “Development of risk-based standardized work breakdown structure for quality planning of airport construction project.” J. Phys.: Conf. Ser. 1360 (1): 012005. https://doi.org/10.1088/1742-6596/1360/1/012005.
Ruijven, L. V., and J. Novack. 2021. Car Wash for Data’: Best practice for information and configuration management applied at Pallas nuclear facility. Spain: Spanish Nuclear Society.
Sequeira, S., and E. Lopes. 2015. “Simple method proposal for cost estimation from work breakdown structure.” Procedia Comput. Sci. 64 (Jan): 537–544. https://doi.org/10.1016/j.procs.2015.08.559.
Sharon, A., and D. Dori. 2012. “A model-based approach for planning work breakdown structures of complex systems project.” In Vol. 14 of Proc., 14th IFAC Symp. on Information Control Problems in Manufacturing, 1083–1088. Amsterdam, Netherlands: The International Federation of Accountants. https://doi.org/10.3182/20120523-3-RO-2023.00255.
Siami-Irdemoosa, E., S. R. Dindarloo, and M. Sharifzadeh. 2015. “Work breakdown structure (WBS) development for underground construction.” Autom. Constr. 58 (Oct): 85–94. https://doi.org/10.1016/j.autcon.2015.07.016.
Supriadi, L. S. R., R. Biruni, and Y. Latief. 2018. “Development of work breakdown structure (WBS) dictionary for the construction works of precast concrete bridge.” IOP Conf. Ser.: Mater. Sci. Eng. 420 (1): 012004. https://doi.org/10.1088/1757-899X/420/1/012004.
Turk, Z. 2020. “Interoperability in construction: Mission impossible?” Dev. Built Environ. 4 (2020): 100018. https://doi.org/10.1016/j.dibe.2020.100018.
USDoD (US Department of Defense). 1998. Work breakdown structures for defense material items. Washington, DC: DoD.
Yang, J., B. Seo, and S. Lee. 2020. “A study on the practical utilization analysis and linkage scheme of WBS and OBS from the construction manager (CMr) perspective.” Korean J. Constr. Eng. Manage. 21 (3): 57–64. https://doi.org/10.6106/KJCEM.2020.21.3.057.
Zhang, L., and S. Dong. 2019. “Application study on building information model (BIM) standardization of Chinese engineering breakdown structure (EBS) coding in life cycle management processes.” Adv. Civ. Eng. 2019 (Aug): 1581036. https://doi.org/10.1155/2019/1581036.

Information & Authors

Information

Published In

Go to Journal of Computing in Civil Engineering
Journal of Computing in Civil Engineering
Volume 36Issue 6November 2022

History

Received: Feb 2, 2022
Accepted: Jun 6, 2022
Published online: Aug 11, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 11, 2023

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Ph.D. Candidate, College of Architecture, Myongji Univ., 116 Myongji-ro, Yongin 17058, Republic of Korea. ORCID: https://orcid.org/0000-0003-0759-7199. Email: [email protected]
Master’s Candidate, College of Architecture, Myongji Univ., 116 Myongji-ro, Yongin 17058, Republic of Korea. ORCID: https://orcid.org/0000-0003-0243-5406. Email: [email protected].
Yunsub Lee, Ph.D. [email protected]
Research Professor, College of Architecture, Myongji Univ., 116 Myongji-ro, Yongin 17058, Republic of Korea. Email: [email protected]
Professor, College of Architecture, Myongji Univ., 116 Myongji-ro, Yongin 17058, Republic of Korea (corresponding author). ORCID: https://orcid.org/0000-0001-5634-3844. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share