Construction materials and components manufacturing: digitalisation opportunities
Integration of planning, execution, quality, traceability and equipment data for concrete, metal, timber, insulation, finishing materials and prefabricated components into a single managed production system.
Digital maturity
medium
Skaitmenizacijos potencialas
84/100
Biggest challenge
Quality Control Separated From Production Process
Biggest opportunity
BIM and design element transfer to production
Digitalisation of building materials and structures production should begin with a clear economic problem and a single traceable data chain, rather than a general goal of 'implementing MES' or collecting as many equipment signals as possible.
How construction materials and structures production works
The business area covers the production of concrete, metal, timber, insulation, finishing materials and prefabricated structures – from raw material and component preparation to production, quality confirmation, packaging, warehousing and dispatch.
Importance of product and process versions
These data areas – formulations, project elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics – must be managed as valid information, not freely copied files.
Link between physical and digital processes
Systems must reflect the actual equipment status, including dosing units, moulds, production lines, curing zones, laboratory and specialised transport, as well as materials, operator actions and time.
Economics of exceptions
The greatest losses in construction materials and structures production arise from defects, waste, breakdowns, changes and waiting for quality, not from the ideal standard cycle.
Need for traceability and accountability
Solutions must be based on primary data and comply with construction products declaration of performance, certification, factory production control and product passport requirements.
Market and technology context
For construction product manufacturers, the need to link technical and environmental product properties to a specific batch or element is growing, and BIM and product passport directions are increasing the importance of machine data exchange.
Product data and traceability pressureCustomers and control processes expect rapidly provided formulations, project elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics and their link to actual production.
Skills shortageDigital instructions and decision history help retain dosing, forming, curing, processing, assembly, testing and delivery to site knowledge within the organisation.
Cost of raw materials, energy and capacityProduction needs to see costs and losses at the level of product, batch and dosing nodes, moulds, production lines, curing zones, laboratory and specialised transport.
Advanced analytics maturityAI and forecasting become practical only when laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence are linked to reliable process context.
Typical Operating Chain
01
Project or product order
Element, formulation, drawing, quantity, technical specifications and delivery location are confirmed.
02
Technical preparation
Project data is converted into production routing, moulds, reinforcement, materials and test plan.
03
Materials and Capacity Plan
Material properties, formwork, curing time, line load and delivery windows are taken into account.
04
Production and Curing
Batching, actual parameters, element identifiers, stoppages and environmental conditions are recorded.
05
Testing and Declaration
Laboratory results and factory production control evidence are linked to the batch or specific element.
06
Delivery to Site
Element kitting, loading sequence, transport, installation location and acceptance documents are managed together.
Digital maturity journey
0
Fragmented product and production data
Formulations, project elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics are kept in spreadsheets, documents and separate systems, and actual execution is checked after shift or batch.
1
Basic business systems
ERP manages orders and inventory, but dosing, forming, curing, processing, assembly, testing and delivery to site and quality facts remain on paper or in local tools.
2
Digitalised selected process
In one line or product family, the transfer of BIM identifiers for elements from a single project into production, testing, marking and delivery sequence is digitalised, but integrations and common classifiers are still limited.
3
Integrated product and execution chain Typical current situation
Validated product and process information is linked to the plan, operator work, quality results and actual cost. Key areas managed: formulations, project elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics.
4
Data-driven production Siektina
Planning, quality and maintenance in the production of building materials and structures rely on real-time exceptions, root cause analysis and reliable line and product KPIs.
5
Adaptive and closed-loop production
The system in building materials and structures production automatically adjusts permissible decisions according to product, process and equipment status, and AI recommendations are audited and measured.
Key conclusion
The production of building materials and structures has high digitalisation potential, but value is created not by yet another separate system, but by a reliable link between product version, plan, actual execution and quality.
The recommended start is transferring BIM identifiers of a single project's elements to production, testing, labelling and delivery sequence. This scope allows results to be measured without involving all lines and integrations at once.
Related digitalisation topics
Manufacturing execution systemAdvanced production planningProduction traceabilityPredictive equipment maintenance
Problemos
The most common digitalisation problems
The greatest gaps occur when mix designs, design elements, BIM identifiers, drawings, material batches, test results and declared performance characteristics are managed in separate systems. Batching, moulding, curing, finishing, kitting, testing and delivery to site processes then leave no single reliable actual history, so the plan, execution status and quality decisions reflect different situations.
Quality Control Separated From Production Process
Critical
Laboratory tests, factory production control records, element dimensions, declarations and acceptance evidence are not consistently linked to the specific product or batch version, operation, equipment and reason for deviation.
Consequences
Quality decision time lengthens, the cause is harder to identify, and waiting for curing and laboratory release, rework, element confusion, delivery sequence errors and inefficient transport may recur in other orders.
Weak traceability of batches and components
Critical
It is not always possible to quickly reconstruct the entire chain: BIM element, drawing version, formulation or material batch, tests, labelling, loading and delivery.
Consequences
In the production of building materials and structures, during a customer enquiry, audit, non-conformance or recall, it takes a long time to determine the affected scope and the required action.
Design elements and production versions are not linked
Critical
Changes to the BIM model, drawings, bill of elements and production task are communicated inconsistently.
Consequences
An incorrect element is produced, installation is delayed and transport and rework costs increase.
Fragmented Production Master Data
High
Mix designs, design elements, BIM identifiers, drawings, material batches, test results and declared performance characteristics are stored in different systems, files or employee-prepared spreadsheets, so there is no single valid version of product and production.
Consequences
Changes reach the batching, moulding, curing, finishing, kitting, testing and delivery to site processes at different times, manual checks increase and the risk of producing according to outdated information grows.
Planning Does Not Reflect Real Production Constraints
High
Plans do not always take into account the sequence of project elements, formwork, reinforcement, curing time, laboratory, transport and installation capacities and the real status of work already started.
Consequences
Priorities change at the last minute, waiting times increase, work in progress and the proportion of delayed orders in building materials and construction production grow.
Production Execution Data Collected With Delay
High
In the selected project's element production, testing, marking and delivery flow, the start and end of operations, produced quantities, material consumption, stoppages and reasons for deviations are recorded late or in multiple places.
Consequences
Planners and responsible staff see too late that the selected project's element production, testing, marking and delivery flow has deviated from plan, so time for correction is lost.
Maintenance Mostly Reactive
Medium
Data on the operating time, failures, condition signals, spare parts and maintenance work of batching units, formwork, production lines, curing zones, laboratory equipment and specialised transport are not aligned with actual load and production plan.
Consequences
Unplanned stoppages disrupt the selected project's element production, testing, marking and delivery flow, whilst repairs and spare parts requirements are managed on an urgent basis.
Opportunities
Greatest digitalisation opportunities
Transferring BIM and design elements to productionVery high impactLink the model object, drawing, specification, production task, quality and delivery sequence.Fewer version errors and smoother installation
Integrated quality and traceabilityVery high impactLink specification, batch, process parameters, inspections, deviations and final product.Less waste and faster investigations
Constraint-based planning and reschedulingVery high impactPlan according to real capacity, changeovers, materials, tools, quality and deadlines.Capacity utilisation and shorter cycle
Integrated production execution managementVery high impactIn a selected flow, link BIM element, drawing version, formula or material batch, tests, marking, loading and delivery with actual quantities, stoppages, deviation causes and responsible employees' actions.Performance and delivery reliability
Energy, yield and waste optimisationHigh impactAt product, batch or serial unit level, measure energy, material consumption and waiting for curing and laboratory release, rework, element mix-ups, delivery sequence errors and inefficient transport, so that waste causes are visible where they occur.Cost and sustainability
Data-driven equipment maintenanceHigh impactConnect failures, sensors, working hours, spare parts and maintenance schedules.Less downtime
Biggest opportunity
BIM and design element transfer to production
The greatest near-term opportunity is the transfer of BIM identifiers for a single project's elements to production, testing, marking and delivery sequence.
Higher utilisation of equipment and labour capacity
Less waste and unplanned downtime
Shorter production cycle
Better traceability of batches and components
Potential business impact
Capacity utilisationMore accurate sequencing of project elements, moulds, reinforcement, curing time, transport and on-site installation schedule planning and real execution status reduce waiting and urgent priority changes.
Quality and yieldQuality status becomes visible during the process, as the following data and decisions are linked: laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence. This reduces late defects, rework and raw material losses.
Delivery reliabilityOrder deadline is assessed according to actual dosing, moulding, curing, processing, assembly, testing and delivery to site and material status, rather than periodic reporting.
Traceability and riskA reliable chain between formulation, project elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics enables faster response to audit, complaint or recall scenarios.
Scale and knowledge retentionDigital instructions and decision history reduce dependency on individual specialists' memory in building materials and structures production.
Sprendimai
How to solve these problems
Solution directions linked to specific business area problems they address.
Problema
Production execution data is collected with delays
→
Sprendimo kryptis
Manufacturing execution system (MES)
Manages dosing, forming, curing, processing, assembly, testing and delivery to site tasks, approved product version, actual quantities, time, materials, stoppages and exceptions in one selected flow.
Problema
Planning does not reflect actual production constraints
→
Sprendimo kryptis
Manufacturing execution system (MES)
Manages dosing, forming, curing, processing, assembly, testing and delivery to site tasks, approved product version, actual quantities, time, materials, stoppages and exceptions in one selected flow.
Problema
Planning does not reflect actual production constraints
→
Sprendimo kryptis
Advanced planning and scheduling system
Schedules and adjusts the plan according to project element sequence, formwork, reinforcement, curing time, transport and construction site installation schedule, actual material status and current production exceptions.
Problema
Quality control is separated from the production process
→
Sprendimo kryptis
Quality and traceability platform
Links laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence with the approved product version, actual materials, operations, equipment and final product.
Problema
Weak traceability of batches and components
In the production of building materials and structures, during a customer enquiry, audit, non-conformance or recall, it takes a long time to determine the affected scope and the required action.
→
Sprendimo kryptis
Quality and traceability platform
Links laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence with the approved product version, actual materials, operations, equipment and final product.
Problema
Maintenance is mostly reactive
→
Sprendimo kryptis
Equipment maintenance and reliability system
Manages the equipment register, covering dosing units, formwork, production lines, curing zones, laboratory and specialised transport, planned maintenance, failures, spare parts and condition signals with production context.
Recommended digital solutions
The solution portfolio must be built around the transfer of BIM identifiers for a single project's elements to production, testing, marking and delivery sequence, rather than from a pre-selected technology or whole-factory transformation.
Manufacturing execution system (MES)
Manages dosing, forming, curing, processing, assembly, testing and delivery to site tasks, approved product version, actual quantities, time, materials, stoppages and exceptions in one selected flow.
Advanced planning and scheduling system
Schedules and adjusts the plan according to project element sequence, formwork, reinforcement, curing time, transport and construction site installation schedule, actual material status and current production exceptions.
Quality and traceability platform
Links laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence with the approved product version, actual materials, operations, equipment and final product.
Equipment maintenance and reliability system
Manages the equipment register, covering dosing units, formwork, production lines, curing zones, laboratory and specialised transport, planned maintenance, failures, spare parts and condition signals with production context.
Production master data and change management
Manages the master data set and its versions, release, validity and change impact on production. Key areas: recipes, design elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics.
BIM, production and project delivery integration platform
Links design elements, versions, production sequence, quality status, transport and installation schedule.
When it is worth starting
Investment justified
Data sets in these areas – formulations, design elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics – have multiple versions or are frequently corrected manually
Batching, forming, curing, processing, assembly, testing and delivery to site events are recorded after a shift or batch
For quality investigation, it is difficult to connect laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence with a specific batch, product or equipment
The costs of defects, downtime, waiting or non-traceability in the production of building materials and structures are significant
A clear scenario can be selected: transferring BIM identifiers of a single project's elements to production, testing, labelling and delivery sequence
Reikia atsargumo
It is unclear which problem has the greatest economic impact
There are no validated product and process versions
Equipment data is collected without product or batch context
The first version is planned for the entire plant at once
Recommended first version
First version – transferring BIM identifiers of one project's elements to production, testing, marking and delivery sequence. It must cover approved master data, one real execution flow, a quality decision and a measurable economic result.
Approved work order and product version
The user receives only valid formula, project elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics and a clear operation and quality task.
Recording of actual execution
Quantities, time, materials used, dosing, forming, curing, processing, assembly, testing and delivery to site status, stoppages and exceptions are recorded.
Integrated quality and traceability control
Quality data and solutions – laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence – are linked to product, batch, equipment and operation.
Exceptions and results dashboard
Managers see not a general report, but delayed, missing or risky statuses of one project's element BIM identifier transfer into production, testing, marking and delivery sequence.
Kam pirmiausiaProduction operators or process executors · Shift or production managers · Planners and technologists · Quality specialists · Maintenance or engineering team
What not to include in the first versionScope of the entire factory and all products · Full integration of all legacy equipment · Complex autonomous AI optimisation · Tidying up historical data without a clear use case
Investment priorities
BIM and design element transfer to productionStart with the transfer of BIM identifiers for a single project's elements to production, testing, marking and delivery sequence and measure the economic result before scaling up.
Integrated quality and traceabilityConnect quality information – laboratory tests, factory production control, element dimensions, declarations and site acceptance evidence – with the actual product, batch and process history.
Constraint-based planning and replanningOnly after stabilising the first flow, expand planning, dosing nodes, moulds, production lines, curing zones, laboratory and specialised transport integrations and advanced analytics.
Key implementation conditions
Clear primary data system
There must be an agreement on which system stores valid information in areas such as recipes, design elements, BIM identifiers, drawings, raw material batches, tests and declared performance characteristics, and how changes reach production.
IT and production automation boundaries
Dosing units, moulds, production lines, curing zones, laboratory and specialised transport integrations must be designed without compromising control network security, equipment warranties and production continuity.
Contextual actual data
Every measurement or operator action in the production of building materials and structures must be linked to the product, batch, operation, equipment and time; a signal archive alone creates no value.
Workplace, not additional report
The operator or specialist must receive only the information necessary for their decision, and recording must be integrated into the dosing, forming, curing, processing, assembly, testing and delivery to site workflow.
Controlled change and accountability
Process owners must approve decisions regarding versions, exceptions and construction products' performance characteristics, certification, factory production control and product passport requirements; the technology team cannot define business rules alone.
Recommended implementation sequence
01
Economic issues and boundary selection
Select the transfer of BIM identifiers for elements of one project to production, testing, marking and delivery sequence, and agree what loss and which KPIs the first version should change.
Baseline KPIs and economic hypothesis
Selected product family or line
Process owners and decision boundaries
02
Preparation of master data and identifiers
Organise formulations, project element and BIM identifiers, drawings, raw material batches, test results and declared performance characteristics, and define uniform product, batch or serial number, operation and equipment identifiers.
Approved data owners
Version and validity rules
Integration and audit requirements
03
One seamless digital process
Implement the transfer of BIM identifiers for elements of one project to production, testing, marking and delivery sequence from approved initial information to actual result, quality decision and audit history.
Operator or specialist workstation
Actual data recording
Quality, status and exception management
04
Stabilisation of use
Launch the solution in the selected project element production, testing, marking and delivery flow, eliminate parallel records and verify data and KPI reliability.
Training and work standard
Data quality monitoring
Measured impact on KPIs
05
Expansion and advanced analytics
Only after stable use should the solution be extended to other projects, production lines and delivery scenarios, and more advanced analytics or AI scenarios connected.
Repeatable implementation model
Portfolio or factory analytics
Forecasting and optimisation scenarios
Change measurement KPIs
On-time production plan completion% of orders or operations
Measure what proportion of planned orders or operations is completed on time when the plan takes into account the sequence of project elements, formwork, reinforcement, curing time, laboratory, transport and installation capacities.
Right first time production share% of units or batches
Measure the proportion of production for which laboratory tests, factory production control records, element dimensions, declarations and acceptance evidence are confirmed without correction, rework or additional investigation.
Unplanned downtime durationhrs
Evaluate the reliability of critical dosing units, formwork, production lines, curing zones, laboratory equipment and specialised transport, and the outcome of response to unplanned stoppage.
Fully traceable batches or units share% of production
Measure whether the BIM element, drawing version, recipe or material batch, testing, marking, loading and delivery are linked in one reliable history.
Production cycle timehrs or days
Measure the time from production start to finished and quality-released product in a selected project element production, testing, marking and delivery flow.
Actual versus planned cost variance% or € per unit
Evaluate whether actual labour time, materials, defects, energy and other direct costs are reliably attributed to the BIM element, drawing version, recipe or material batch, testing, marking, loading and delivery.
On-time project element production% of elements
Measure what proportion of elements has been manufactured, released and prepared for loading according to the project installation sequence.
Key risks
Digitalising an undefined processIf the rules for dosing, forming, curing, processing, assembly, testing and delivery to site processes and exceptions are not clear, the system will only entrench differing employee practices.Kaip suvaldyti Observe actual work before implementation, describe the most common exceptions and confirm decision rights.
Product and production versions do not matchRecipes, design elements, BIM identifiers, drawings, raw material batches, test results and declared performance characteristics may be changed at different times, so production risks receiving information that is no longer valid or mutually inconsistent.Kaip suvaldyti Construction materials and structures manufacturing should use uniform identifiers, effective dates and approval statuses; an unapproved version must not be transferred to production.
Equipment data is collected without contextThe large volume of signals from dosing units, moulds, production lines, curing zones, laboratory equipment and specialised transport does not help explain the result if the data is not linked to product, batch or serial number, operation and specific time.Kaip suvaldyti Assign to data from dosing units, moulds, production lines, curing zones, laboratory equipment and specialised transport in advance a specific solution, KPIs, responsible person and the context of product, batch or serial number.
First version encompasses too muchAttempting to cover all lines, products and construction product performance characteristics, certification, factory production control and product passport scenarios at once delays actual use and complicates result evaluation.Kaip suvaldyti Limit the first version to the transfer of BIM identifiers for one project's elements into production, testing, marking and delivery sequence.
Users bypass the systemIf the new workstation slows down dosing, forming, curing, processing, assembly, testing and delivery to site processes or does not help resolve exceptions, employees will continue to fill in paper or spreadsheets after the fact.Kaip suvaldyti Design the workstation together with design, technology, laboratory, production, logistics, installation and IT teams, measure registration time and only remove duplicate forms after stable launch.
Inovacijos
Digital innovations in the business area
Advanced technologies in the manufacturing of building materials and structures must rely on reliable product, batch and process data; otherwise they merely automate unclear decision-making logic.
Digital curing and properties model
Relevant
Temperature, time, formulation and test data are used to forecast property development.
How it is applied Helps to plan demoulding, storage and dispatch more accurately.
What value can be created
Shorter cycle
Lower safety margins
What is needed for this to work
Calibrated tests
Synchronised sensor data
Medium-termPilot projects
BIM-based manufacturing digital twin
Relevant
Project elements are linked to production, quality, storage and assembly statuses.
How it is applied Used for coordination of prefabricated structures and project-based manufacturing.
What value can be created
Fewer version errors
More accurate delivery sequence
What is needed for this to work
Stable element IDs
Controlled model versions
Medium-termPilot projects
Computer vision for element quality
Relevant
Images help to detect discrepancies in surface, geometry, marking and completeness.
How it is applied Suitable for serial materials and prefabricated elements.
What value can be created
Earlier defect detection
Greater inspection coverage
What is needed for this to work
Uniform photographic environment
Approved defect classifications
Medium-termPilot projects
Delivery and loading sequence optimisation
Relevant
The algorithm balances element readiness, transport, weight and assembly sequence.
How it is applied Helps reduce overloading and waiting time on site.
What value can be created
Lower logistics costs
Faster assembly
What is needed for this to work
Element statuses
Site time windows
Medium-termPilot projects
D.U.K.
Frequently asked questions
Where to start with the digitalisation of construction product manufacturing?
A good initial scenario is a single project in which each BIM or drawing element receives a stable identifier which is maintained through the production task, testing, marking, loading and delivery.
How to prepare BIM data for production?
The project model must contain not only geometry, but also attributes required for production, version, status and element identifiers. A clear rule is needed as to which data are authoritative and when an element is considered released.
Can MES manage the delivery sequence to site?
Yes, if production elements are linked to the project and installation schedule. The system can then see the manufacturing, curing, quality, loading and delivery status in a single element list.
How to link laboratory tests to the product?
The sample must be linked to the recipe or material batch, production time and affected products or elements. The result must automatically change their release status.
Where are digital curing models meaningful?
In concrete and similar processes they can predict the development of properties according to temperature, time and recipe. The model must be calibrated with real tests and used as an aid, not a substitute for declarations.
Which KPIs show value?
Important KPIs are on-time production of project elements, curing and waiting duration, laboratory release time, rework, delivery sequence errors, raw material yield and the proportion of fully traceable elements.
Next step
Maintain project element identity through to delivery
An assessment is made of whether it is best to begin the first stage with a single project passing BIM identifiers of elements into production, testing, marking and delivery sequence, and what change in quality, time, cost or traceability can be reliably measured.
