Business area digitalisation analysis

Electronics and electrotechnical product manufacturing: digitalisation opportunities

The integration of planning, execution, quality, traceability and equipment data for circuit boards, electrotechnical equipment, components, cables and assembled systems into a single managed manufacturing 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.

high
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.

92/100
Biggest challenge
Quality control is separated from the production process
Biggest opportunity
Digital production thread of a serial number

Digitalisation in electronics and electrotechnical manufacturing should begin with a clear economic problem and one traceable data chain, rather than a general goal of 'implementing MES' or collecting as many equipment signals as possible.

How electronics and electrotechnical product manufacturing works

The business area covers the production of electronic boards, electrotechnical equipment, components, cables and assembled systems – from raw material and component preparation to manufacturing, quality confirmation, packaging, warehousing and dispatch.

Importance of product and process versions

These data areas – BOMs, manufacturer component codes, approved alternatives, software versions, serial numbers and test limits – must be managed as valid information, not freely copied files.

Link between physical and digital process

Systems must reflect actual equipment status, including SMT line, soldering equipment, programming stations and automated test systems, as well as materials, operator actions and time.

Economics of exceptions

The greatest losses in electronics and electrotechnical product manufacturing arise from shortages, defects, failures, changes and quality waiting time, not from the ideal standard cycle.

Need for traceability and accountability

Solutions must be based on primary data and meet electrical safety, EMC, RoHS, REACH, cybersecurity and product configuration requirements.

Market and technology context

In electronics manufacturing, the greatest value is created by the digital thread of the serialised unit and component risk control; product passport and cybersecurity directions further increase the importance of accurate hardware and software configuration data.

  • Product data and traceability pressureCustomers and control processes expect rapidly delivered BOMs, component manufacturer codes, approved alternatives, software versions, serial numbers and test limits, and their connection to actual production.
  • Skills shortageDigital work instructions and decision history help retain component kitting, SMT, soldering, assembly, programming and functional test knowledge in the organisation.
  • Cost of raw materials, energy and capacityProduction needs to see costs and losses at the level of product, batch and SMT line, soldering equipment, programming stations and automated test systems.
  • Advanced analytics maturityAI and forecasting become practical only when AOI, electrical and functional test results, failure codes and rework history are linked to reliable process context.

Typical operational chain

01

Product configuration and change

Validated BOM, software version, component alternatives, test plan and production documents.

02

Component supply and kitting

Manufacturer parts, date codes, moisture sensitivity, batch origin and substitute permissions are verified.

03

Line preparation

SMT programmes, feeder configurations, stencils, tools and a control first article are selected.

04

Assembly and programming

Components used, process parameters, software version and repair actions are recorded.

05

Testing and release

AOI, ICT, functional and safety tests are linked to the specific serial number.

06

Warranty and feedback

Failure and service data are fed back to engineering, supplier quality and test rules for improvement.

Digital maturity path

0

Fragmented product and production data

BOMs, component manufacturer codes, approved alternatives, software versions, serial numbers and test limits are kept in spreadsheets, documents and separate systems, and actual execution is checked after a shift or batch.

1

Basic business systems

ERP manages orders and inventory, but component kitting, SMT, soldering, assembly, programming and functional testing and quality facts remain on paper or in local tools.

2

Selected process digitalised

In one line or product family, the serial number history of one product family is digitalised from BOM version and component batches to programming and testing, but integrations and common classifiers are still limited.

3

Integrated product and execution chain

Validated product and process information is linked to the plan, operator work, quality results and actual cost. Key areas managed: BOM, manufacturer component codes, approved alternatives, software versions, serial numbers and test limits.

4

Data-driven production Typical current situationSiektina

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

5

Adaptive and closed-loop production

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

Key conclusion

Electronics and electrotechnical manufacturing has very high digitalisation potential, but value is not created by yet another separate system, but by a reliable link between product version, plan, actual execution and quality.

Recommended starting point – the serial number history of one product family from BOM version and component batches through to programming and testing. 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
Next step

Build a reliable history for each serial number

It is worth evaluating whether the first stage is best started with a serial number history for a single product family – from BOM version and component batches to programming and testing – and what measurable change in quality, time, cost or traceability can be reliably measured.