Business area digitalisation analysis

Metal and metal product manufacturing: digitalisation opportunities

Integration of planning, execution, quality, traceability and equipment data for metal processing, welded structures, sheet metal and other metal products into a single managed production system.

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

medium
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

81/100
Biggest challenge
Quality control separated from the production process
Biggest opportunity
Material layout and offcut optimisation

Digitalisation in metal and metal products manufacturing should start from a clear business problem and one traceable data chain, rather than from a general goal to 'implement MES' or collect as many equipment signals as possible.

How metal and metal products manufacturing works

The business area covers the production of metalworking, welded structures, sheet metal and other metal products – from raw materials and component preparation to production, quality approval, packaging, warehousing and dispatch.

Importance of product and process versions

These data areas – drawing versions, material grades, certificates, cutting and CNC programmes, technological routes and welding procedures – must be managed as valid information, not freely copied files.

Link between physical and digital processes

Systems must reflect the actual equipment status, including lasers, plasma, CNC machines, presses, welding stations and surface treatment equipment, as well as materials, operator actions and time.

Economics of exceptions

The greatest losses in metal and metal products manufacturing arise from shortages, defects, breakdowns, rework and quality delays, not from the ideal standard cycle.

The need for traceability and accountability

Solutions must be based on primary data and comply with material certificates, welding procedures, structural conformity and employee safety requirements.

Market and technology context

In metal fabrication, the value of digitalisation arises primarily from reducing material waste, rework, unplanned downtime and version errors, whilst the product passport direction increases the importance of structured material and origin data.

  • Product data and traceability pressureClients and control processes expect rapid delivery of drawing versions, material grades, certificates, cutting and CNC programmes, process routes and welding procedures and their connection to actual production.
  • Skills shortageDigital instructions and decision history help retain cutting, forming, machining, welding, thermal and surface treatment knowledge within the organisation.
  • Raw material, energy and capacity costsProduction needs to see costs and waste at product, batch and laser, plasma, CNC machine, press, welding station and surface treatment equipment level.
  • Advanced analytics maturityAI and forecasting become practical only when dimensional protocols, material certificates, welding records, non-destructive testing and design traceability are linked to reliable process context.

Typical business area chain

01

Order and technological assessment

Drawings, tolerances, material grades, processing requirements and deadlines are verified.

02

Technological preparation

Routes, cutting and CNC programmes, tool plans and quality control points are compiled.

03

Material allocation

Sheets, profiles and blanks are reserved according to certificate, dimensions, stock levels and nesting plan.

04

Production operations

Actual time, equipment, programme, operator, material consumed and downtime reasons are recorded.

05

Welding and quality inspection

Procedures, qualifications, measurements and tests are linked to the product element and drawing version.

06

Assembly and certificate handover

The product, material certificates, quality protocols and delivery documents form a single traceable package.

Digital maturity path

0

Fragmented product and production data

Drawing versions, material grades, certificates, cutting and CNC programmes, process routes and welding procedures are kept in spreadsheets, documents and separate systems, and actual execution is verified after shift or batch.

1

Basic business systems

ERP manages orders and inventory, but cutting, forming, machining, welding, thermal and surface treatment and quality facts remain on paper or in local tools.

2

Digitalised selected process

In one line or product family, the chain of drawing version, material certificate, cutting programme, actual operations and quality protocol for a single product group 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 managed areas: drawing versions, material grades, certificates, cutting and CNC programmes, technological routes and welding procedures.

4

Data-driven manufacturing Siektina

Planning, quality and maintenance in metal and metal product manufacturing rely on real-time exceptions, root cause analysis and reliable line and product KPIs.

5

Adaptive and closed-loop manufacturing

The system in metal and metal product manufacturing automatically adjusts permitted decisions based on product, process and equipment status, and AI recommendations are audited and measured.

Key conclusion

Metal and metal products manufacturing 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 starting point is a chain of drawing version, material certificate, cutting programme, actual operations and quality protocol for one product group. Such a scope allows the result to be measured without involving all lines and integrations at once.

Related digitalisation topics

Manufacturing execution systemAdvanced production planningManufacturing traceabilityPredictive equipment maintenance
Next step

Link the drawing, material certificate and actual operation

It is essential to assess whether the first stage is best started with a single product group chain of drawing version, material certificate, cutting programme, actual operations and quality protocol, and what change in quality, time, cost or traceability can be reliably measured.