AI-generated
AI-generated
Focusing on whole-life value
Construction companies are increasingly involved in maintenance, asset management and long-term service delivery. Integrated contracts bring construction and maintenance together, meaning that decisions made during the design phase continue to have an impact during asset management.
This allows material choices and maintenance strategies to be assessed on the basis of total cost of ownership. Energy consumption, replacement investments and remaining service life can all be factored into the assessment. This makes the impact on affordability and sustainability visible at an earlier stage.
Condition-based maintenance
Fixed maintenance intervals take limited account of an asset’s actual condition. Sensor data provides insight into intensity of use, wear and performance. This allows maintenance to be scheduled when the condition or risk profile indicates that action is needed.
With risk-based asset management, critical assets are given greater priority. The potential impact on safety, availability and costs determines when intervention is required. This reduces the need for emergency repairs and enables maintenance capacity to be deployed more effectively.
A digital view of the asset
A digital twin combines design data with sensor data, maintenance records and operational information. This creates an up-to-date digital representation of the structure or technical installation.
Predictive models identify deviations and calculate how the asset’s condition is likely to develop. This supports decisions on maintenance, renovation and replacement.
Keeping information available across the entire value chain
During design and construction, information flows between clients, construction companies, suppliers and subcontractors. During the asset management phase, asset managers and maintenance providers become part of that chain. Differences in systems and data agreements can make information transfer more difficult.
A common data environment keeps BIM models, as-built information and maintenance data up to date. Clear agreements on ownership and data exchange ensure that valuable construction data is retained after completion.
Asset management as a data challenge
Relevant data is held in sources including ERP systems, sensors and maintenance records. Conclusion connects these sources and makes the information usable for asset management. This brings construction expertise together with expertise in data, integration and digital twins.
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Client Director