MANUFACTURING & INDUSTRIAL
AUTOMATION
MAKING COMPLEX MANAGEMENT SYSTEMS INTO HARMONIZED, CLEAR AND EFFICIENT ORCHESTRAS OF SOFTWARE
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The bigger you grow, the harder it gets to make everything work together. In most cases, all it takes is to synchronize your software. We do it on all levels: enterprise, plant and process.
How do we synchronize everything?
Development of the tailored program solutions that increase the depth of distributed systems' integration on all levels:
PROBLEMS
- ERP, FAS, PLM and BI systems are newer up-to-date or missing some essential information
- AI and predictive management strategies are rather a dream than a next milestone
- You are too busy fixing lower level (plant, process) emergencies instead of thinking about product/business development
- You are not satisfied with decision making processes and turn-around-time
- Industry 4.0 KPIs are rather a science fiction for your organisation
SOLUTIONS
- Standardised data collection framework and scalable data architecture framework
- Data bases aggregation and integration according to the redefined data architecture framework
- Business intelligence build up, customisable and actionable dashboards
- ML/AI models development for predictive analytics and anomaly spotting based on historical data
PROBLEMS
- Your PMS, WMS, TMS and other plant management systems are lacking synchronisation with ERP, FAS, HMI and SCADA
- You’re not satisfied with the efficiency of incoming, workshop and outgoing material flows
- Turn-around-time on the plant floor needs improvement
- Emergencies are usually fixed with higher-level management involvement – low autonomy on the floor
- Additional unexpected costs are involved in product quality assurance, data processing and production line fixes
- Unexpected production line efficiency drops
SOLUTIONS
- Recording and storage of both historical and fresh data in a centralised storage
- Correct data distribution among relevant departments
- Real-time reflection of processes and equipment state
- Ongoing business processes efficiency analysis
PROBLEMS
- Every production area, line, workshop functions separately from the higher level systems, thus managed manually
- Information about the operational state of the main production facilities is absent
- Production costs are rising as a consequence of increasing deficiency rate and regular downtimes
SOLUTIONS
- Automated, real-time data capturing via sensors
- Digitalisation of the manually made processes
- Algorithmization of the work execution order
- Data exchange and equipment management systems setup
- HMI development for centralised process management
- Definition of the data pre-processing framework
What stage is your idea at?
Discover Your Automation Potential
Eager for Automation, But Unsure Where to Start? Consult our Automation Consultant!
Demyan Khmelnitskiy
Automation Consultant
20+ years of experience in manufacturing optimization and automation
Technical Guidance for Your Vision
Clear on Your Automation Goals, But Need a Tech Whiz? We've Got You Covered!
Oleksandr Efimov
Chief Technical Officer
10+ years of experience in software architecture
Tailored Pricing for Your Needs
Got It All Figured Out and Ready for Pricing? Our Business Developer Director Awaits!
Volodymyr Dubovets
Business Development Director
20+ years of experience in business efficiency optimization
Solutions for Other Goals
Seeking a Unique Solution? Discover Endless Possibilities with Our Team!
Rostislav Dao
Business Analyst
8+ years of expertise in processes development
EXPECTED RESULTS
Check the Industry 4.0 implementation benchmarks we are guided by while designing & implementing solutions.
Source: McKinsey & Co.
Time-To-Market
Service / Aftersales
Resource / Process
Asset Utilisation
Labor
Inventories
Related Cases
What our clients say
Constructivo
Robert Rodrigues jn
IT and Development Manager
EMSI Burning Glass
Michael Genzelev
Director of Engineering, Data and Engines
British American Tobacco
British American Tobacco
British American Tobacco
Code-IT
Valeriy Borzov
Code-IT
Nova Solutions LLC
Michael Gutkin
Nova Solutions LLC
Comocom GmbH
Carlos Valero
Chief Executive Officer
Diagnose your manufacturing
for threats with our tech experts
TechnoLOgical stack
Linux (Centos, Red Hat, OpenSuSe), Windows 7,10
MongoDB, Oracle 19c, PostgreSQL 12
Java, JavaScript, Python 2,3 , BASH, C# 8/9, .NET 5.0, Powershell 7
Splunk, Ansible, Java enterprise server, Flask, React, ASP.NET MVC, ASP.NET Entity, ADO.NET Data Service , WPF, TPL, Dapper ORM
Java enterprise server, Identify server, Windows IIS, Windows Server 2003/2019, Azure AD, Azure Functions
HyperVisor (ESXI), WSGI, VM, Jenkins, Docker
Compute Engine, Container Engine, Cloud Pub/Sub, Cloud Functions, Google Cloud AutoML, Google Cloud Storage, Azure HITRUST
OpenVino, Tensorflow, Triton, TensorRt, Tunnel onsite
Splunk, SAP ERP 6.0. SCM/CRM/HRM
ISO 25010, ISO/IEC 12119, ISO/IEC 27000