Sector digitalisation analysis

Manufacturing Digitalisation

How to better manage planning, production execution, quality, equipment, materials, traceability and cost

Manufacturing business areas

Different manufacturing business areas vary significantly in terms of materials, technological processes, batches, quality requirements, equipment and traceability depth, therefore they are analysed separately.

10 / 10

Chemistry, plastics and packaging production

The greatest value is created by a reliable link between the formulation version, raw material properties and batches, actual process parameters, laboratory results and final product compliance. When this chain is continuous, deviations can be managed during production rather than checking the result after the fact.

Branda
Complexity
Problemos
7
Sprendimai
6
Biggest opportunityRecipe and compliance impact management
Review analysis

Pharmaceutical and medical device manufacturing

The digitalisation value here is determined not only by the electronic record, but by a reliable data integrity chain between formula, material batches, equipment, method, electronic signatures, deviation, CAPA and batch release. Every change must be audited and validated according to its risk.

Branda
Complexity
Problemos
9
Sprendimai
8
Biggest opportunityDeviation and CAPA investigation data platform
Review analysis

Manufacture of electronic and electrotechnical products

In this business area, digital value is created not by isolated automation, but by reliable connection between BOM, component manufacturer codes, alternatives, software version, serial numbers and tests, orders, materials, equipment, operations, quality and actual cost.

Branda
Complexity
Problemos
8
Sprendimai
7
Biggest opportunityIntegrated manufacturing execution, quality and planning chain
Review analysis

Food and beverage production

The greatest value is created by an integrated chain from approved formulation and raw material batches to actual yield, food safety checks, final batch and correct label. When formulation changes automatically reach labelling and production, the risk of recalls and write-offs is reduced.

Branda
Complexity
Problemos
8
Sprendimai
7
Biggest opportunityRecipe, allergen and labelling lifecycle
Review analysis

Machinery, equipment and component manufacturing

The greatest value is created by a managed product thread from CAD model and engineering BOM to manufacturing BOM, approved change, assembly fact, serial number and maintenance history. It enables precise visibility of what has been designed, manufactured and changed in a specific piece of equipment.

Branda
Complexity
Problemos
9
Sprendimai
8
Biggest opportunityEngineering and production BOM alignment
Review analysis

Timber, furniture and interior manufacturing

The greatest value is created through a direct link between customer configuration, drawing, materials and fittings, parts list, cutting and CNC programmes, and assembly. This reduces manual re-entry of dimensions, material waste and errors in bespoke orders.

Branda
Complexity
Problemos
7
Sprendimai
6
Biggest opportunityConfiguration transfer directly to production
Review analysis

Metal and metal products manufacturing

The greatest value is created by reliable linkage between drawing version, material grade and certificate, cutting or CNC programme, actual operations, welding data and quality protocol. Such traceability also enables better material utilisation and faster preparation of customer documentation packages.

Branda
Complexity
Problemos
8
Sprendimai
7
Biggest opportunityMaterial layout and offcut optimisation
Review analysis

Construction materials and structures manufacturing

The greatest value is created by a stable project element identifier which passes from BIM or drawing into the production task, recipe or material batch, testing, marking, loading and delivery sequence. This links the project plan to the real status of each element.

Branda
Complexity
Problemos
7
Sprendimai
6
Biggest opportunityBIM and design element transfer to production
Review analysis

Textile, apparel, and consumer goods manufacturing

The greatest value is created by a seamless product thread from model, size and colour matrix to patterns, technical specifications, material composition, suppliers and actual manufacturing operations. It reduces sample and specification amendments, material shortages and untraceable subcontractor exceptions.

Branda
Complexity
Problemos
8
Sprendimai
7
Biggest opportunityModel, size and tech pack data foundation
Review analysis

Electronics and electrotechnical product manufacturing

The greatest value is created by the digital manufacturing thread, linking BOM version, component batches and approved alternatives, software, assembly facts and test results to a specific serial number. This shortens failure investigation and protects against incorrect changes.

Branda
Complexity
Problemos
8
Sprendimai
7
Biggest opportunityDigital production thread of a serial number
Review analysis
Biggest problem

The production plan does not reflect real constraints

Plans are constantly amended manually, resulting in more urgent changeovers, overtime, work-in-progress and delayed orders.

Biggest opportunity

Unified order, product and production data

Connect order, product version, materials, technological route, operations fact, quality results, equipment status, traceability and actual costs.

Recommended first step

Select and digitalise one production flow

For one product family, connect the task, actual operations, materials, downtime reasons, quality check and order status.

Manufacturing digitalisation creates value when data helps to reduce downtime, scrap, delays or excessive consumption during the process, rather than merely providing a report after the fact.

Complete sector analysis

The full digital sector analysis is presented below. A more detailed analysis tailored to the specific operating model is available on the business area pages.

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Next step

An assessment of where the most capacity and margin is lost in the production process

Planning, production execution, quality, equipment maintenance, materials, traceability and actual cost will be reviewed, helping to select one first version where the benefit can be clearly measured.