Digitalization of production lines

We connect equipment, production data and control systems into a single digital loop — based on the plant's objectives and its existing infrastructure.

We survey the line, design the architecture, select SCADA, MES, OEE, machine vision and monitoring systems, and handle integration and start-up.

New and existing lines · Equipment from different manufacturers · Step-by-step rollout

Line operator working with an industrial HMI panel at a bottling line
Line status
Running
Output
Downtime
Quality
Energy

Example visualization. The interface depends on the selected system and project configuration.

Not another piece of software, but a working digital loop

A single plant can run machines from different manufacturers, standalone control panels, legacy controllers and disconnected accounting systems at the same time. Buying another software product does not solve that on its own.

EDEN defines what data the plant needs, where it can be collected from, and how to link equipment, automation and software systems into one architecture.

See how EDEN organizes digital control of project delivery
  1. 1

    Equipment and sensors

    Line machines, drives, meters, flow meters and status signals.

  2. 2

    PLC / HMI / control systems

    Controllers, operator panels, networks and protocols.

  3. 3

    SCADA / MES / OEE

    Process visualization, work orders, downtime and production analytics.

  4. 4

    ERP, quality and management

    Accounting and laboratory systems, reporting for management.

The configuration of the digital loop is defined after the line survey.

What the plant gets

Digitalization should answer specific production questions, not just collect more data.

Actual effectiveness

Speed, output, utilization, OEE and production plan fulfilment.

Downtime causes

When and why the line stops, which machines and processes limit throughput.

Product quality

Fill level, capping, label, coding control and automatic rejection.

Equipment condition

Unit run-hours, fault history, maintenance schedules and alerts.

Batch traceability

Linking raw materials, recipe, work order, process parameters and finished product.

Resource consumption

Water, electricity, steam, compressed air, product and waste per unit.

Survey of the automation cabinet and line controllers
Survey of the automation cabinet and line controllers
Machine vision inspection of bottles on the conveyor
Machine vision inspection of bottles on the conveyor

Technologies we can integrate

The scope depends on the plant's objectives, equipment, budget and systems already in use.

HMI and SCADA

Equipment control and centralized process visualization.

OEE and production analytics

Output, downtime, loss causes, shift comparison and plan vs actual.

MES and traceability

Work orders, recipes, batches and production history.

Machine vision

Bottle, fill level, cap, label, date and code inspection.

Maintenance

Run-hours, equipment condition, maintenance planning and notifications.

Resource monitoring

Water, electricity, steam, air, product and effluent accounting.

Enterprise system integration

ERP, warehouse, laboratory systems and marking.

Remote diagnostics

Secure access, fault analysis and technical support.

EDEN does not lock a plant into one mandatory ecosystem. Specific platforms and vendors are defined at the design stage.

From a production task to a working integration

  1. 01

    Line survey

    Equipment, controllers, interfaces, networks, available signals and data quality.

  2. 02

    Defining objectives

    We fix the required metrics: effectiveness, downtime, quality, maintenance, resources or traceability.

  3. 03

    Architecture design

    Connection points, data structure, automation levels and security requirements.

  4. 04

    Solution selection

    We compare compatible technologies and vendors against budget, service and cost of ownership.

  5. 05

    Integration and testing

    Connecting equipment, configuring data exchange, interfaces, reports and control scenarios.

  6. 06

    Start-up and growth

    Trials, staff training and readiness to connect further machines and metrics.

Digitalization at any stage of the life cycle

New line

We specify the required sensors, interfaces, data exchange standards and enterprise integration already at the design stage.

  • unified requirements for equipment suppliers
  • agreed protocols and interfaces
  • readiness for OEE and production data collection
  • fewer reworks after start-up

Existing line

We determine what data is already available and which units can be connected or upgraded without replacing the equipment.

  • audit of controllers and networks
  • connecting individual machines or a section
  • HMI and SCADA upgrade
  • gradual expansion of the digital loop

Technical feasibility of connection is determined after the equipment survey.

What the customer receives

Digital readiness report

Current state of equipment, data, networks and control systems.

Target architecture

Equipment connection diagram and system interaction map.

Implementation plan

Solution scope, stages, budget guidance and supplier requirements.

Integrated system

Configured interfaces, documentation, trials and staff training.

Production metrics on a shop-floor screen
Example visualization. The interface depends on the selected system and project configuration.

You don't have to digitalize the whole plant at once

Start with one task or one production area, verify the effect and then scale the solution.

  • digital readiness audit
  • speed and downtime data collection
  • OEE calculation rollout
  • HMI or SCADA upgrade
  • quality control automation
  • energy resource accounting
  • integration of a new machine
  • traceability for one product line

Let's define what data your production actually needs

We start with the equipment, the existing infrastructure and the production tasks — then propose a realistic architecture and rollout stages.

A line layout, an equipment list and a description of the task are enough for a first discussion.