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Our focus - the IIoT (Industrial Internet of Things) basically is about connecting our physical equipment into an information exchange network. These connections are generating data and information what we are able to process and create significant increase in production effectivity. Our Cloudberry brand covers our new generation technologies, applications and solutions which are supporting our efforts toward incresed process effectivity.

Cloudberry solutions are built around an IoT platform and the application layer include all important manufacturing modules with special attention to production/process planning. Processes are reengineered based on mathematics-statistics methods resulting optimised value stream from appearance of the demand till delivery. Integrated software and hardware components are behind our BPR activity providing complete solution sustainability.

Our activities are built on synergies of elements, resources and professional approach covering all needs of the Industry 4.0 digital ecosystems. Digitalisation and optimisation of supply chains and production will create transparent processes and reliable decisions based on real time objective data and support algorithms.

THE DEVELOPER OF CLOUDBERRY SOLUTIONS

The owners and professionals of Quantic Hungary Ltd – The developer of Cloudberry solutions – collected remarkable production and management experience on operative level in an automotive component supplier company. Beside parts and tool supplier activity we are TPM service provider for a TIER-1 supplier too. Our service range includes technology and infrastructure developments focusing on new SmartFactory projects.

Our solution development and system integration professionals are having remarkable experience in local and international enterprise environment. Business analytics, software and hardware development, simulations, testing, machine learning and AI solutions are all in our portfolio providing tailor made combination to our customers.         

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TYPICAL BOTTLENECKS IN PRODUCTION PROCESSES 

Mass production or customised components manufacturing efficiency can be highly increased by our complex optimisation programs.

Data collection and process monitoring are only the first steps in the improvement program.

FREQUENT CHANGES

IN ORDERS AND FORECASTS

Continuous fine tuning of production plans and task distribution. High dependancy on long lead time materials and parts. handling of frequently changing orders and demand and forecasts by automated, optimisd planning tools..

OBJECTIVE

PERFORMANCE MANAGEMENT

Machine - equipment - operator - corporate - plant - shift levels. Objective performance measurement on personal and group level.

INVENTORY LEVELS

HIGHER THAN OPTIMAL

Real time inventory tracking and FIFO control. Work in progress (WIP) stock management and inventory moving speed measurement.

UNPLANNED

MACHINE DOWNTIME

Automatic data escalation on unexpected events, fast and controlled reactions. Real time equipment and process monitoring.

AUTHORITY

LEVEL HANDLING

Activities, workstations and zones are based on well controlled authority levels. Equipment access by operator identification (RFID). Early alert on dangerous zone approach. Operator performance measurement as side effect.

INFORMATION FLOW

SLOW OR DISTORTED

Information missing or available with high latency. Sometimes distrsions are hiding root causes. Reliable and credible real time objective information on manufacturing processes is the foundation of business decisions.

PRODUCTION PLANNING

TASK AND PROCESS SCHEDULING

Production planning is a very complex task which can be handled more effectively by tailored software applications. Built in intelligence provides optimum plans with less technology change, minimal queue and optimal batch sizes.

MAINTENANCE – TPM

CONDITION BASED SMART TPM

Maintenance scheduling based on actual conditions of the equipment. Smart Maintenance systems are using real time monitoring data.

WHIP TALE EFFECT

IN SUPPLY CHAINS

Slow and distorted information flow results over-, or underplanned inventories and capacities in the supply chains. Sharing of objectively collected data between participants results remarkable savings.

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The flexible system elements are built on each other. The focus of all system elemets are to increase effectivity and shift system performance. Based on our experience the transparency level provided by the first data collection layer will result significant performance growth.

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SOLUTION LAYERS

DATA COLLECTION

Objective data, historian

Sensors and data transfer layer with M2M communication layer. Structured networks, wireless connection channels and gateways (Wifi, Bluetooth, GSM/LPWA/NB-IOT/4G+/5G)

ANALYTICS

Data processing, visualisation

Analytics layer where we create resource mapping with real time condition and behaviour of human and material resources and equipment. (data visualisation - dashboards, ANDON boards)

VIRTUALISATION

Digital twin

Digital twin model of the whole process. Identification of correlations and patterns., real KPIs. Virtual reality, augmented reality applications.

SIMULATION

Decision making support

Simulation layer, new layout models, setup versions, interactions analytics, business intelligence and decision making support layer. Mathematics and statistics modelling. and optimisation.

AUTONOMOUS PROCESSES

Optimised, intelligent processes

Scientific, analytical methods supported autonomous decision making, Machine Learning, AI

Evolution.

TECHNOLOGY DEVELOPMENT AND 
CHALLENGES OF INDUSTRY 4.0 

Our focus - the Industrial IoT (Industrial Internet 
of Things) basically is about connecting our physical equipment into an information exchange network. These connections are generating data and information what we are able to process and create significant increase in process effectivity.

SUSTAINABLE HANDLING OF 
UNCERTAINTY AND COMPLEXITY

Handling of uncertainty will be available for long term. Embedded into our daily operations the system will handle and improve typical bottleneck issues possibly plant and supply chain levels. Utilisation of the system model will result real time overview of processes and analytics of intervention scenarios. Modelled proposals will be available for handling future condition changes (optimal resource allocation, operation scheduling, inventory planning and allocation in the supply chain, define priorities).

Development.

SYSTEM POSSIBILITIES

INDUSTRY INDEPENDENT SYSTEM

The system can be deployed easily and cost effectively even in inhomogeneous machinery and resource environment

NEW PROJECT LAYOUT AND PROCESS

Optimised project layout planning and optimised process fitting into existing systems

STRESS TESTS

System test examining the adaptability in extreme conditions. Identify critical values on plant level (possible on corporate and supply chain levels).

OVERALL EQUIPMENT AND PROCESS REMOTE CONTROL

machine learning - artifical intelligence - autonomous operations - ability for automatic adaption to business- and natural environment changes

Results.

EXPECTED RESULTS OF  THE DEVELOPMENTS

Smart and flexible solutions