Articles

Lifecycle Cost Optimization in Mega Projects

What is it: This peer‑reviewed research article examines how the combined use of Building Information Modelling (BIM) and Digital Twin (DT) technologies can optimize lifecycle costs in mega projects. The authors conduct a systematic literature review of the past decade, evaluating empirical and case‑study evidence on cost savings, schedule efficiency, predictive maintenance, and operational performance. The research highlights that BIM‑DT integration can yield lifecycle cost savings of 20–40%, driven by improved data continuity, predictive analytics, and enhanced coordination across the design‑build‑operate lifecycle. Barriers include interoperability constraints, higher initial implementation costs, organizational resistance, and the lack of standardized data frameworks.

The findings are directly relevant to the Building Lifecycle Management (BLM) Initiative, as the study demonstrates that lifecycle optimization depends on continuous data flow, cross‑disciplinary coordination, and structured governance—principles aligned with BLM's core themes.

Stakeholder Audience: Architecture, Engineering & Construction (AEC); Real Estate Investors‑Developers; Building Owners; Corporate‑Institutional Owners; Facility Operations; IT/Technology‑Cybersecurity; Service Providers‑Consultants; Technology Providers‑Integrators; Regulatory Bodies; Trade‑Professional‑Standards Bodies.

Inform or Action: Informational. Stakeholders may use this research to benchmark lifecycle cost‑saving potential, evaluate integration readiness, and examine gaps in data governance and interoperability that hinder BIM‑DT deployment at scale.

Read the Research: Integration of Building Information Modelling (BIM) and Digital Twins for Lifecycle Cost Optimisation in Mega Projects

#BLM_Initiative #IFMA #Autodesk #DigitalTwin #BIM #LifecycleCosting #MegaProjects #DataIntegration #SmartInfrastructure #PredictiveMaintenance #ConstructionTechnology #BuildingLifecycleManagement