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.

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Business area digitalisation analysis

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 Typical digital maturity Shows the level of digitalisation companies in this line of business typically operate at. The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data. A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.: medium
Digitalisation potential Digitalisation potential Shows the scale of business impact digitalisation could have in this line of business. It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions. A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.: 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

Project or product order

Element, formulation, drawing, quantity, technical specifications and delivery location are confirmed.

Technical preparation

Project data is converted into production routing, moulds, reinforcement, materials and test plan.

Materials and Capacity Plan

Material properties, formwork, curing time, line load and delivery windows are taken into account.

Production and Curing

Batching, actual parameters, element identifiers, stoppages and environmental conditions are recorded.

Testing and Declaration

Laboratory results and factory production control evidence are linked to the batch or specific element.

Delivery to Site

Element kitting, loading sequence, transport, installation location and acceptance documents are managed together.

Digital maturity journey

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.

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.

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.

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.

Data-driven production Target

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.

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.

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.

Problem

Production execution data is collected with delays

Solution direction

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.

Problem

Planning does not reflect actual production constraints

Solution direction

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.

Problem

Planning does not reflect actual production constraints

Solution direction

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.

Problem

Quality control is separated from the production process

Solution direction

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.

Problem

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.

Solution direction

Quality and traceability platform

Problem

Maintenance is mostly reactive

Solution direction

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.

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

Proceed with care

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.

Who to start withProduction 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

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.

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.

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.

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.

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.

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.How to manage 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.How to manage 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.How to manage 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.How to manage 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.How to manage 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.

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.

Discuss the digitalisation direction

Construction materials and components manufacturing: digitalisation opportunities

How construction materials and structures production works

Importance of product and process versions

Link between physical and digital processes

Economics of exceptions

Need for traceability and accountability

Market and technology context

Typical Operating Chain

Project or product order

Technical preparation

Materials and Capacity Plan

Production and Curing

Testing and Declaration

Delivery to Site

Digital maturity journey

Fragmented product and production data

Basic business systems

Digitalised selected process

Integrated product and execution chain Typical current situation

Data-driven production Target

Adaptive and closed-loop production

Key conclusion

Related digitalisation topics

The most common digitalisation problems

Quality Control Separated From Production Process

Weak traceability of batches and components

Design elements and production versions are not linked

Fragmented Production Master Data

Planning Does Not Reflect Real Production Constraints

Production Execution Data Collected With Delay

Maintenance Mostly Reactive

Greatest digitalisation opportunities

BIM and design element transfer to production

Potential business impact

How to solve these problems

Recommended digital solutions

Manufacturing execution system (MES)

Advanced planning and scheduling system

Quality and traceability platform

Equipment maintenance and reliability system

Production master data and change management

BIM, production and project delivery integration platform

When it is worth starting

Recommended first version

Approved work order and product version

Recording of actual execution

Integrated quality and traceability control

Exceptions and results dashboard

Investment priorities

Key implementation conditions

Clear primary data system

IT and production automation boundaries

Contextual actual data

Workplace, not additional report

Controlled change and accountability

Recommended implementation sequence

Economic issues and boundary selection

Preparation of master data and identifiers

One seamless digital process

Stabilisation of use

Expansion and advanced analytics

Change measurement KPIs

Key risks

Digital innovations in the business area

Digital curing and properties model

BIM-based manufacturing digital twin

Computer vision for element quality

Delivery and loading sequence optimisation

Frequently asked questions

Where to start with the digitalisation of construction product manufacturing?

How to prepare BIM data for production?

Can MES manage the delivery sequence to site?

How to link laboratory tests to the product?

Where are digital curing models meaningful?

Which KPIs show value?

Maintain project element identity through to delivery