factoryNET

Digitization of production processes

factoryNET represents a step forward in the digital transformation of a specific industry of manufacturing. It advances real-time gathering, exchange and processing of sensing data, develops data analytics solutions and proposes novel preventive and predictive maintenance techniques, thus reducing the probability of occurrence of product defects and overall, efficiently increasing productivity of the manufacturing process as well increasing the health and safety of the workers.

Improve worker safety

Advanced data and decision-making capabilities to improve workplace safety

Predictive maintenance of machinery

ML/AI algorithms process the acquired data and provide relevant insights

Tailored to your needs

Custom setup for specific manufacturing operations

Improve operational efficiencies

Supporting all production processes and checking step by step contributes to more efficient process control

Turnkey solution

All necessary hardware and software components are integrated and delivered

Real-time collection and processing of operational data

Enables real-time monitoring and optimization of production processes and asset utilization

Machine monitoring

Kitchenware production

Bottle labelling

Safe workplace

Workflow management

Computer vision

Monitoring operation of machines

Problems:

Not able to automatically monitor utilization of machines
Not able to automatically monitor performance of machines

Solution:

Monitoring vibration of machines
Monitoring audio/noise patterns of machines and using ML to identify critical changes and events
Collecting information from attached sensors (counters)
Collecting electric energy consumption of each machine

Improving enamel kitchenware production process

Problems:

Empty or not adequately populated trolleys carrying kitchenware items through furnaces resulting in poor utilization of electric energy per kg of kitchenware manufactured
Kitchenware items falling-off the trolley in furnace are not detected
No real-time notification on the utilization of trolleys
No real-time calculation of KPIs

Solution:

Monitoring vibration of machines
Monitoring audio/noise patterns of machines and using ML to identify critical changes and events
Collecting information from attached sensors (counters)
Collecting electric energy consumption of each machine

Bottle labelling process monitoring and optimization

Problems:

The use of adhesives in the bottle labelling process must be optimized
Real-time/continuous monitoring of key parameters required to save time in case of troubleshooting (over consumption, adhesive quality

Solution:

Edge system (micro-controller, weighing scales, bottle counters, video cameras, temperature sensors, router, operator app) combined with cloud functionality to monitor key parameters and generate notifications when required

Ensuring safe working environment

Problems:

Enforcing the use of protective clothing on the factory floor
Automatic notifications in case of presence in restricted areas
Working conditions/environmental parameters affecting health and performance of workers on the factory floor not known

Solution:

Monitoring compliance (protective clothing, presence) using ML/computer vision
Monitoring air temperature and humidity, air quality and noise at selected locations in factories

Enabling interaction between machines, people and processes

Problems:

Paper and email-based interaction between factory floor workers and management slow, inefficient and difficult to track. Real-time, actionable interaction required
The ability to import data from machines and about machines into working processes required together with the ability to create and change working processes without dependance on IT teams required

Solution:

Digital passports of machines created
QR codes provide unique identities to machines and links to info in digital passport
Mobile app: 1) scanning QR codes to obtain information about machines, 2) enabling creation of notifications related to the scanned machine
Rules for distribution of messages defined and maintained in a cloud-based workflow process manager (Camunda)