Precast construction has earned a reputation for being efficient and fast due to the manufacture of structural elements in controlled environments and transporting the pre-manufactured products to the project site, where they are then assembled much faster than if they were cast on-site; however, the speed is not due solely to the advanced manufacturing and logistics of precast construction. There are a number of other factors that affect the speed with which precast construction can be accomplished; one of these is data discipline.
Precast manufacturing relies heavily on accurate, coordinated, and stable data, as it is an inherently different form of construction than conventional on-site construction methods; therefore, any inconsistencies or frequent changes to the project data can severely disrupt the entire precast production chain and cause precast projects to fail to be completed in an efficient manner – if the information used to support the precast construction project is not properly tracked and controlled from the design phase through the fabrication process, precast projects will also experience delays and be more prone to defects.
Precast Manufacturing Is Driven by Information
In precast construction, nearly all manufacturing processes are driven by data about the project. Before the first concrete is poured, all of the information will have travelled through multiple levels of structured information flow.
The first level of this flow is the structural and architectural design drawings, which establish the overall geometry, loading requirements, and intended use of the building. These are then integrated and further developed through Building Information Modelling (BIM), in which the various disciplines’ designs can be collaboratively coordinated and checked for compatibility.
The BIM designs become a point of reference for engineers and detailers when they create shop drawings. Shop drawings provide detailed information about the manufacturing of precast elements, including how many reinforcement bars are required, where they will be located, connection details, the location of lifting clutches and embedded components, etc. Once the data is complete and ready to go to the factory, it must be precise – all of the precast elements will be manufactured based upon the information in the shop drawings. Any inconsistency in the data could result in costly changes and/or create a long delay in the production process if these issues are discovered once production has begun.
The Impact of Uncontrolled Design Revisions
The management of revisions to a precast project during the design phase presents one of the greatest challenges. An example of how minor changes can appear during the design phase is when the final details are produced; these same minor changes have a very significant impact on these projects, as can be seen in making a minor adjustment to the size of an opening, modifying the detail of the reinforcing steel or relocating an embed plate. Once the detailer starts producing the detailing (and even more if production has begun), minor changes will result in a greater impact on the overall project than was originally anticipated.
Possible impacts of these types of changes could include:
• Updating shop drawings
• Adjusting the configuration of the moulds
• Redesigning the reinforcing steel cages
• Repositioning of embedded items
• Rescheduling the casting sequence
Precast factories rely on highly structured production schedules, so changes to the schedule can cause interruptions to the workflow and cause inefficiencies. On-site construction may also be able to accommodate changes, but precast factories do not allow modifications to occur during production.
The Need for Data Stability to Achieve Factory Productivity and Efficiency
Precast factories operate in predictable and organised environments. To prepare for production, they will prepare the moulds, assemble the reinforcement cages and locate any embedded components in their designated positions per the approved construction documents.
The presence of precast elements that meet all of these requirements allows a precast factory to efficiently manufacture precast elements and consistently produce large quantities of precast elements. The reverse is also true; therefore, if changes to the design occur after the preparation of the moulds or the assembly of the reinforcement cages, the factory will have to disassemble/rebuild these products, resulting in excess time, excess labour, delays to the delivery schedule and other inefficiencies.
To successfully complete a precast project, clear design freezes and proper revision control must occur. If the data is stable, the precast factory can continue to operate efficiently while providing precast elements that meet the project design intent.
The Role of BIM in Managing Project Information
Modern BIM workflows play a crucial role in improving data coordination in precast projects. By bringing together architectural, structural, and engineering information in a shared digital model, BIM helps teams identify conflicts and inconsistencies earlier in the project lifecycle.
Through coordinated models, teams can verify that openings align with structural elements, embedded components fit correctly within panels, and reinforcement layouts do not conflict with other building systems.
However, technology alone cannot guarantee reliable information. Effective precast projects still depend on structured processes such as the following:
- Clear revision tracking systems
- Defined approval stages
- Regular coordination reviews between disciplines
- Controlled release of shop drawings for production
These practices ensure that the information reaching the manufacturing stage is accurate and stable.
How NEOS Supports Data Discipline in Precast Projects
Precise and controlled data management is part of the detailing process at NEOS Engineering Services. The design of precast products is very dependent upon effective coordination before fabrication begins.
Prior to precast products being detailed at the fabrication level, our engineers evaluate how well the available design information is coordinated among the structural and architectural drawings. This includes identifying potential conflicts and carefully managing all revisions throughout the modelling process.
By implementing coordinated review processes and providing control over documentation, we help minimise the negative impact of last-minute changes on production. By using clear, consistent communication among all team members, smoother transitions from design to manufacturing are facilitated.
Conclusion
Precast construction appears to be an easy process for many people when the precast element has arrived at the job site and is ready for installation; however, behind this efficient installation is an extensive amount of work that was required to collect and move data in a coordinated manner throughout the life cycle of that product. Fabricators utilise both coordinated data and details to design moulds, to make rebar cages, and to create production schedules.
If project data is not stable or not controlled effectively, the entire manufacturing process will be impacted. Because of this, engineering experience alone does not lead to successfully completed precast projects; disciplined information management is essential as well. We understand that speedy precast construction is not an accident but is the result of sound coordination, organised processes, and rigorous data management.