Business area digitalisation analysis

Electronics and electrical products manufacturing: digitalisation opportunities

Connection of planning, execution, quality, traceability and equipment data for electronic boards, electrical equipment, components, cables and assembled systems into one 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.

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.

96/100
Biggest challenge
Fragmented production master data
Biggest opportunity
Integrated manufacturing execution, quality and planning chain

The greatest value is created not by more separate systems, but by a single traceable chain from product version and plan to actual outcome.

How electronics and electrotechnical product manufacturing works

The business area includes the manufacturing of electronic boards, electrotechnical equipment, components, cables and assembled systems – from raw materials and component preparation through production, quality assurance, packaging, warehousing and dispatch.

Link between physical and digital process

Systems must reflect actual equipment, materials, time and operator actions.

Importance of versions and changes

Incorrect specification, BOM, recipe or instruction can cause the loss of an entire batch.

Dominance of exceptions

The main management value arises not from an ideal plan, but from responding quickly to failures, shortages, defects and changes in priorities.

Market and technology context

In electronics manufacturing, the greatest value comes from the digital thread of the serial unit and component risk control; the product passport and cybersecurity directions further increase the importance of precise hardware and software configuration data.

  • Traceability and product data pressureCustomers and regulation increasingly demand structured data on origin, composition, process and sustainability.
  • Workforce and skills shortageDigital instructions, automated data collection and decision support help reduce dependence on individual experience.
  • Fluctuations in energy and raw material costsManufacturing needs to see yield, energy and losses not only at the aggregate level, but also at product and batch level.

Typical activity chain

01

Demand and production order

An order or forecast is converted into production requirement, deadline and product version.

02

Materials and capacity planning

Raw materials, components, equipment, workers, tools and changeovers are verified.

03

Production execution

Operators carry out operations according to approved instructions and record actual data.

04

Quality control

In-process and final inspections are performed, non-conformances are managed and release decisions are made.

05

Packaging and warehousing

The product is labelled, linked to batch or serial number and transferred to the warehouse.

06

Analysis and improvement

Performance, defects, downtime, cost, energy and recurrence of root causes are evaluated.

Digital maturity pathway

0

Fragmented work

Core processes are managed by email, spreadsheets and separate systems.

1

Basic systems

An ERP or accounting system is in use, but a significant part of the process remains outside its scope.

2

Digital process Typical current situation

The main order and service scenario is executed through a digital channel.

3

Integrated operations

Customer channel, product data, inventory, pricing and logistics are connected through integrations.

4

Data-driven operations Siektina

Decisions are made based on reliable data, forecasts and automated rules.

5

Adaptive ecosystem

Processes are optimised in real time, and AI is used for clearly defined decisions and exceptions.

Key finding

Electronics and electrical equipment manufacturing has high digitalisation potential, as the underlying economics depend on planning accuracy, actual process stability, quality and capacity utilisation.

The first priority is to establish the link between BOM, component manufacturer codes, alternatives, software version, serial numbers and tests, production order and actual execution. Only then is it worthwhile to expand into digital twins, predictive maintenance and AI optimisation.

Related digitalisation topics

Manufacturing execution systemAdvanced production planningProduction traceabilityPredictive equipment maintenance
Next step

Connect the process of electronic boards, electrical equipment, components, cables and assembled systems from plan to actual result

Let us assess which gap in planning, execution, quality, traceability or equipment is currently the most limiting factor for production results.