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LEVERAGING BUILDING INFORMATION MODELING (BIM) FOR MAINTENANCE AND AUDITING EFFICIENCY

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Abstract

Building Information Modeling (BIM) is transforming the construction and facilities management industries by offering a robust framework for maintenance and building condition auditing (BCA). Through its capacity to integrate multidimensional data, BIM enables more efficient resource allocation, predictive maintenance planning, and accurate auditing of building conditions. This paper explores how BIM enhances maintenance efficiency and auditing accuracy, focusing on its practical applications, benefits, and challenges. By examining case studies from diverse contexts, including commercial, residential, and industrial buildings, the research identifies best practices and future directions for BIM-driven maintenance and auditing processes.
LEVERAGING BUILDING INFORMATION MODELING (BIM)
FOR MAINTENANCE AND AUDITING EFFICIENCY
Olusekemi Afolabi, Renny Elijah
Abstract
Building Information Modeling (BIM) is transforming the construction and facilities management industries by
offering a robust framework for maintenance and building condition auditing (BCA). Through its capacity to integrate
multidimensional data, BIM enables more efficient resource allocation, predictive maintenance planning, and accurate
auditing of building conditions. This paper explores how BIM enhances maintenance efficiency and auditing accuracy,
focusing on its practical applications, benefits, and challenges. By examining case studies from diverse contexts,
including commercial, residential, and industrial buildings, the research identifies best practices and future directions
for BIM-driven maintenance and auditing processes.
Keywords: Building Information Modeling, BIM, building condition auditing, maintenance efficiency, asset
management
1. Introduction
The advent of Building Information Modeling (BIM) has marked a paradigm shift in how construction, maintenance,
and auditing are managed. Traditionally, maintenance and auditing relied on static records, manual inspections, and
siloed data management systems. These methods are often inefficient, prone to errors, and unable to adapt to the
dynamic demands of modern facilities management. BIM offers a solution by providing a centralized, digital
representation of building information that integrates geometric, spatial, and operational data.
BIM’s utility in maintenance and auditing is especially evident in its ability to streamline data access, enhance
collaboration among stakeholders, and enable predictive analytics. By offering a single source of truth, BIM eliminates
inefficiencies associated with fragmented information systems. Facilities managers, auditors, and other stakeholders
can access accurate, real-time data for better decision-making.
This paper investigates the role of BIM in improving maintenance and auditing efficiency, focusing on its integration
with existing workflows, technological advancements, and implementation challenges. Special attention is given to
case studies that illustrate successful BIM adoption and its measurable impacts on resource optimization, compliance
assurance, and operational sustainability.
2. Literature Review
2.1 Overview of BIM
Building Information Modeling (BIM) is a multidimensional, data-driven approach to building design, construction,
and management. It involves the creation of a digital twin that incorporates geometric, spatial, and functional data into
a unified platform. Eastman et al. (2011) define BIM as a process that enables stakeholders to share information
throughout the building lifecycle, from design to demolition.
2.2 BIM and Building Condition Auditing
Building condition auditing traditionally involves periodic inspections aimed at evaluating structural integrity,
compliance, and operational performance. Research by Shen and Zhang (2012) highlights that traditional methods
often suffer from inconsistencies, inefficiencies, and data fragmentation. BIM addresses these issues by providing a
centralized, digital repository of building data that auditors can use to generate comprehensive reports with greater
accuracy.
2.3 BIM in Maintenance Management
The role of BIM in maintenance extends beyond data storage to include predictive analytics, lifecycle cost analysis,
and real-time monitoring. Pärn and Edwards (2019) illustrate how BIM enables facilities managers to plan
maintenance schedules proactively, identify high-risk assets, and allocate resources more effectively. The integration
of BIM with IoT further enhances its utility by enabling real-time data updates and remote monitoring capabilities.
2.4 Benefits of BIM in Maintenance and Auditing
BIM offers several benefits in the context of maintenance and auditing:
Improved Accuracy: By providing detailed, up-to-date building data, BIM reduces errors in maintenance planning and
auditing.
Enhanced Collaboration: BIM facilitates information sharing among architects, engineers, auditors, and maintenance
teams, improving coordination.
Cost Savings: The predictive capabilities of BIM reduce reactive maintenance and associated costs.
Regulatory Compliance: BIM streamlines the process of ensuring compliance with safety and sustainability
regulations.
2.5 Challenges in BIM Adoption
Despite its advantages, BIM adoption faces challenges such as high implementation costs, interoperability issues, and
the need for specialized training. Love et al. (2016) emphasize that small and medium-sized enterprises (SMEs) often
lack the financial and technical resources required to implement BIM effectively.
3. Methodology
This study adopts a robust mixed-methods research design to comprehensively evaluate the role of Building
Information Modeling (BIM) in enhancing maintenance and auditing processes. The methodology integrates
quantitative surveys, qualitative interviews, and case study analysis to ensure a well-rounded exploration of the
research topic.
3.1 Data Collection Techniques
Quantitative Surveys: A survey was designed and distributed to 300 professionals in the construction, facilities
management, and building auditing sectors. Respondents were asked to provide detailed insights into their use of BIM,
the perceived benefits and challenges, and the impact on their operational efficiency. The survey included both closed-
ended and Likert-scale questions to quantify trends while allowing for individual variations.
Qualitative Interviews: To complement the survey data, 50 semi-structured interviews were conducted with architects,
engineers, auditors, and facilities managers who are actively involved in BIM implementation. These interviews
explored nuanced themes, such as organizational strategies for BIM adoption, its integration with existing workflows,
and its limitations in real-world applications.
Case Study Analysis: Three in-depth case studies were conducted across various building types to provide practical
evidence of BIM’s capabilities and challenges:
A 20-story commercial office building in Sydney equipped with advanced IoT sensors and predictive maintenance
tools.
A high-rise residential building in Melbourne that implemented BIM for lifecycle cost optimization.
An industrial manufacturing facility in Brisbane focusing on compliance with safety and environmental standards.
3.2 Analytical Framework
Quantitative Analysis: The survey data were analyzed using statistical methods, including descriptive statistics,
regression analysis, and correlation studies. This analysis helped identify patterns in BIM adoption and its impact on
key performance indicators, such as maintenance costs, audit accuracy, and resource allocation efficiency.
Qualitative Analysis: Interview transcripts were subjected to thematic analysis, identifying recurring themes such as
data interoperability, training gaps, and organizational barriers. This qualitative data provided context and depth to the
quantitative findings.
Case Study Evaluation: Each case study was evaluated against a structured framework focusing on key dimensions
such as operational efficiency, compliance assurance, and stakeholder collaboration. Comparative analysis was
conducted to highlight similarities and differences across the three building types.
3.3 Validation of Findings
To ensure reliability and validity, the study employed triangulation by cross-referencing data from the surveys,
interviews, and case studies. Peer review sessions with industry experts further validated the findings, ensuring their
practical relevance and accuracy.
4. Results
4.1 Trends in BIM Adoption
The survey revealed that 65% of respondents currently use BIM in their operations, with 80% of large organizations
integrating it into their workflows compared to only 40% of SMEs. The adoption rate was highest in commercial
buildings (70%), followed by residential (55%) and industrial sectors (50%). The primary drivers for adoption
included regulatory compliance (68%), operational cost savings (62%), and enhanced collaboration (58%).
4.2 Quantitative Impact of BIM on Maintenance and Auditing
Statistical analysis indicated a 30% average reduction in reactive maintenance tasks for organizations using BIM.
These organizations also reported a 25% improvement in audit accuracy and a 20% reduction in maintenance costs.
Larger organizations demonstrated more pronounced benefits due to their ability to integrate BIM with advanced
technologies such as IoT and AI.
4.3 Insights from Qualitative Data
Interviewees highlighted several qualitative benefits of BIM, including improved decision-making through real-time
data visualization, better alignment of maintenance schedules with operational needs, and enhanced stakeholder
communication. However, challenges such as high upfront costs, resistance to change, and interoperability issues were
frequently cited.
4.4 Case Study Findings
Commercial Office Building (Sydney): Implementing BIM resulted in a 40% reduction in HVAC maintenance
downtime and a 25% increase in energy efficiency through better asset monitoring.
Residential High-Rise (Melbourne): BIM enabled the proactive identification of structural vulnerabilities, leading to
a 30% reduction in compliance penalties.
Industrial Facility (Brisbane): BIM integration facilitated real-time monitoring of equipment performance, improving
safety compliance by 35%.
5. Discussion
5.1 BIM’s Role in Optimizing Maintenance Processes
BIM serves as a transformative tool in maintenance by enabling data-driven decision-making. Facilities managers can
access a centralized repository of real-time data, allowing for the prediction and prevention of asset failures. The
integration of BIM with IoT sensors further amplifies its capabilities, providing real-time alerts on equipment
performance. For example, sensors embedded in HVAC systems can send alerts when operational thresholds are
exceeded, enabling preemptive interventions.
5.2 Enhancing Auditing Accuracy with BIM
In auditing, BIM addresses traditional pain points such as data inconsistencies and manual errors. By visualizing the
building's digital twin, auditors can assess compliance with safety, environmental, and operational standards more
accurately. BIM also supports scenario modeling, allowing auditors to evaluate potential risks and recommend
mitigation strategies proactively.
5.3 Addressing Challenges in BIM Implementation
Despite its benefits, BIM adoption is hindered by challenges such as high implementation costs, skill shortages, and
data interoperability issues. Strategies to overcome these barriers include:
Government Incentives: Subsidies and grants can reduce the financial burden on SMEs.
Standardization: Establishing industry-wide standards for data protocols can improve interoperability.
Training Programs: Continuous professional development initiatives can address skill shortages.
5.4 Comparative Analysis of Case Studies
The case studies highlight BIM's adaptability across different building types. Commercial buildings benefit most from
BIM's energy efficiency features, while residential buildings leverage its compliance assurance capabilities. Industrial
facilities, on the other hand, focus on using BIM for safety and environmental monitoring.
6. Conclusion and Recommendations
6.1 Conclusion
Building Information Modeling (BIM) has emerged as a game-changing tool in maintenance and auditing. Its ability
to integrate diverse data sources into a centralized platform enhances operational efficiency, auditing accuracy, and
regulatory compliance. While challenges such as cost and interoperability persist, the long-term benefits of BIM make
it an indispensable asset for modern facilities management.
6.2 Recommendations
Investment in Training: Comprehensive training programs are essential to build the technical expertise required for
effective BIM implementation.
Adoption of Phased Strategies: Starting with small-scale pilot projects can help organizations demonstrate the value
of BIM and build internal support.
Integration with Emerging Technologies: Combining BIM with AI, IoT, and digital twins can unlock additional
capabilities, such as predictive analytics and real-time monitoring.
Collaboration Across Stakeholders: Enhanced communication and collaboration among architects, engineers, and
facilities managers can maximize BIM’s potential.
References
1. Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM Handbook: A Guide to Building Information
Modeling for Owners, Managers, Designers, Engineers, and Contractors. Wiley.
2. West, J., Siddhpura, M., Evangelista, A., & Haddad, A. (2024). Improving Equipment Maintenance—
Switching from Corrective to Preventative Maintenance Strategies. Buildings, 14(11), 3581.
https://doi.org/10.3390/buildings14113581
3. Patchipala, N. S. G. (2023). Tackling data and model drift in AI: Strategies for maintaining accuracy during
ML model inference. International Journal of Science and Research Archive, 10(2), 1198–1209.
https://doi.org/10.30574/ijsra.2023.10.2.0855
4. West, J., Siddhpura, M., Evangelista, A., & Haddad, A. (2024). Building Condition Auditing (BCA)—
Improving Auditability—Reducing Ambiguity. Buildings, 14(11), 3645.
https://doi.org/10.3390/buildings14113645
5. West, J., Evangelista, A., Siddhpura, M., & Haddad, A. (2024). Asset maintenance in Australian commercial
buildings. Frontiers in Built Environment, 10. https://doi.org/10.3389/fbuil.2024.1404934
6. Love, P. E. D., Matthews, J., & Simpson, I. (2016). A benefits realization management building information
modeling framework for asset owners. Automation in Construction, 71, 1-10.
7. Pärn, E. A., & Edwards, D. J. (2019). Conceptualizing the FinDD API framework to create a common data
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and IoT. Advanced Engineering Informatics, 26(4), 889-900.
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ResearchGate has not been able to resolve any citations for this publication.
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Conceptualizing the FinDD API framework to create a common data environment (CDE) for asset maintenance
  • E A Pärn
  • D J Edwards
Pärn, E. A., & Edwards, D. J. (2019). Conceptualizing the FinDD API framework to create a common data environment (CDE) for asset maintenance. Automation in Construction, 97, 155-165.
Integrated intelligent building maintenance management system with BIM and IoT
  • W Shen
  • X Zhang
Shen, W., & Zhang, X. (2012). Integrated intelligent building maintenance management system with BIM and IoT. Advanced Engineering Informatics, 26(4), 889-900.