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Okładka: Good practices for communication between IT and OT networks. How to build a secure and modern industrial architecture?
it-ot
cybersecurity
IoT Communication

Good practices for communication between IT and OT networks. How to build a secure and modern industrial architecture?

Digitalization of manufacturing plants has made automation systems and IT systems work together more closely than ever before. Machine data flows into MES, ERP, and analytical platforms, while IT systems increasingly need access to industrial devices to monitor their status, security, and compliance with corporate policies. This creates tremendous opportunities for business growth, but it also introduces an area that requires exceptional caution. Communication between IT and OT networks is one of the most sensitive points within a facility — it is exactly here where vulnerabilities can emerge, leading to cyberattacks or disruptions in production processes.

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Okładka: How does OmniMES support a production manager in improving process efficiency?
OmniMES
Production efficiency
Production analysis

How does OmniMES support a production manager in improving process efficiency?

The role of a production manager is becoming more complex every year. Modern factories demand not only smooth operations and on-time execution, but also cost optimization, rapid reaction to deviations, and building a culture of continuous improvement. In such an environment, traditional Excel sheets, manual reports, or intuition-based decisions are no longer enough. This is where OmniMES proves its value — a system that gives the production manager tools to make informed, fast, and accurate decisions.

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Okładka: New OmniEnergy Energy Module – Intelligent Energy Management in Compliance with ISO 50001
OmniEnergy
energy consumption monitoring
renewable sources

New OmniEnergy Energy Module – Intelligent Energy Management in Compliance with ISO 50001

As electricity costs continue to rise faster than production margins, companies are increasingly looking for ways to achieve lasting reductions in utility consumption. The answer to these needs is the new energy module in the OmniMES system, which functions as an Energy Management System (EMS). It enables companies to monitor, analyze, and optimize energy consumption across the entire plant — using the same data already utilized by the MES system. This means there’s no need to install sensors or measuring devices twice — the same data can serve both MES and EMS purposes, significantly reducing implementation time and cost.

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Okładka: Cloud or On-Premise? How to Choose the Best MES Deployment Model
omnicloud
saas
on premise

Cloud or On-Premise? How to Choose the Best MES Deployment Model

Choosing between a cloud-based system and an on-premise solution is one of the most common decisions faced by manufacturing companies considering the implementation of production control systems. Both approaches have their advantages and limitations — they differ in terms of cost, security, deployment speed, and configuration flexibility. This article explains the key differences and shows how the OmniMES system adapts to various business needs, offering both deployment models: OmniCloud (SaaS) and OmniMES On-Premise.

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Okładka: 7 Wastes of Muda – How to Understand and Eliminate Waste in Production
7 Wastes of Muda
OmniMES
Lean Manufacturing

7 Wastes of Muda – How to Understand and Eliminate Waste in Production

Every manufacturing company has activities that do not add value to the product yet consume time, resources, and employee energy. In the book Toyota Production System: Beyond Large-Scale Production (1978), Taiichi Ohno identified seven of the most common types of waste. In Lean Manufacturing philosophy, these activities are called Muda – meaning wastefulness or uselessness (Japanese: muda = useless, unnecessary). Japanese companies, led by Toyota, have been effectively eliminating Muda for decades, achieving high production efficiency and flexibility. Understanding the seven classic wastes of Muda helps identify where productivity may be leaking in your company — and how to fix it.

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Okładka: Energy Efficiency Directive (EED) – what does it mean for Polish production plants and why it is worth implementing an EMS system
energy efficiency
Industry 5.0
EMS
+1

Energy Efficiency Directive (EED) – what does it mean for Polish production plants and why it is worth implementing an EMS system

The revised Energy Efficiency Directive (EED) – Directive (EU) 2023/1791 – sets out the framework and obligations designed to help the European Union achieve ambitious energy-saving targets. Among other things, the EED aims to reduce final energy consumption in the EU by 11.7% by 2030 compared to reference projections. It replaces the previous Directive 2012/27/EU and entered into force on 10 October 2023. Member States are required to transpose its key provisions into national law – the deadline for transposition was 11 October 2025.

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Okładka: Effective Maintenance: How an MES System Helps Minimize Micro-Downtimes in Production
Industry 5.0
Omnimes
Sparkplug B
+2

Effective Maintenance: How an MES System Helps Minimize Micro-Downtimes in Production

In modern manufacturing plants, every second of machine operation matters. Even short, seemingly insignificant interruptions – so-called micro-downtimes – can generate substantial losses on a production line. Research (Aberdeen Research) shows that unplanned downtime can cost manufacturing companies from hundreds to even thousands of dollars per minute. This is one of the reasons why more and more enterprises implement MES (Manufacturing Execution Systems). They support maintenance, enable real-time machine performance analysis, and help minimize the negative impact of micro-downtimes.

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Okładka: BigQuery AI in Industry 5.0: Analytical Revolution for Smart Factories
Bigquery AI
Google Cloud
OmniMES

BigQuery AI in Industry 5.0: Analytical Revolution for Smart Factories

Industry 5.0 is not just another stage of digital transformation – it's a fundamental shift in approach to manufacturing that places humans and sustainable development at the center of advanced technologies. In this new reality, analytical platforms like BigQuery AI become a key component of intelligent production systems, enabling the transformation of vast amounts of data into concrete business insights.

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Okładka: From Industry 4.0 to 5.0 – The Evolution of Digitalization and Its Impact on Modern Factories
Industry 4.0
Industry 5.0
AI

From Industry 4.0 to 5.0 – The Evolution of Digitalization and Its Impact on Modern Factories

For more than a decade, industrial digitalization has set new directions in manufacturing. The term Industry 4.0 became a symbol of the Fourth Industrial Revolution – the era of automation, robotics, and the Internet of Things (IoT). Today, Industry 5.0 is gaining traction. It does not replace 4.0 but builds on it, adding a new dimension: the integration of humans and technology in a sustainable and responsible way.

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Okładka: Integration of HMI Systems with Simulation: A Strategic Foundation for Resource Optimization in Industry 5.0
HMI
Industry 5.0
MES system
+1

Integration of HMI Systems with Simulation: A Strategic Foundation for Resource Optimization in Industry 5.0

In the era of industrial digital transformation, the global human-machine interface (HMI) market reached USD 24.5 billion in 2024 and is projected to grow to USD 55.2 billion by 2033, with a compound annual growth rate (CAGR) of 9.7%. At the same time, the simulation software market expanded from USD 19.95 billion in 2024 to an expected USD 36.22 billion by 2030 at a CAGR of 10.4%. These dynamic trends reflect a fundamental shift in the approach to optimizing production resources.

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Okładka: MES Systems with Real-Time Data Analytics: A Revolution in Production Quality Control
Industry 5.0
Omnimes
Quality

MES Systems with Real-Time Data Analytics: A Revolution in Production Quality Control

Modern industry is at the heart of digital transformation, where Manufacturing Execution Systems (MES) with real-time data analytics form a cornerstone of Industry 5.0. According to a 2023 McKinsey Global Institute report, companies that deploy advanced analytics in production achieve, on average, a 15–20% productivity increase and a 25% reduction in defects.

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Okładka: Smart MES in Industry 5.0: How Machine Learning Revolutionizes Continuous Improvement in Renewable Energy
AI
Omnimes
Industry 5.0
+1

Smart MES in Industry 5.0: How Machine Learning Revolutionizes Continuous Improvement in Renewable Energy

ROI: up to 15% efficiency gains and 10–20% better energy storage performance – this is the real power of AI in modern energy. In the era of Industry 5.0, where technology merges with a human-centric approach, the renewable energy sector is growing at an unprecedented pace – with 18.6 GW of additional solar capacity installed in the first nine months of 2024. Manufacturing Execution Systems (MES) enhanced with machine learning are becoming a cornerstone of this transformation, delivering both business and technical benefits.

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Okładka: Industry 5.0: How AI and Advanced Connectivity Are Revolutionizing Industrial Monitoring
Industry 5.0
AI
5G

Industry 5.0: How AI and Advanced Connectivity Are Revolutionizing Industrial Monitoring

Industry is on the brink of a new revolution. Industry 5.0 marks an era of human–machine collaboration that prioritizes sustainability, where AI is not merely a tool but a strategic enabler of transformation. Unlike Industry 4.0, which focused on automation and digitalization, Industry 5.0 emphasizes human–machine collaboration, sustainable development, and the integration of ESG (Environmental, Social, Governance) principles with advanced technologies.

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Okładka: How We Integrated LangChain with Outline to Build a Smart Documentation Assistant in OmniMES – a Modern Chatbot
langchain
faiss
gpt
+2

How We Integrated LangChain with Outline to Build a Smart Documentation Assistant in OmniMES – a Modern Chatbot

In the world of industrial IT, where technical documentation grows faster than peak-season production, finding specific information becomes a challenge. That’s why we decided to combine two powerful tools: LangChain and Outline, creating a smart documentation assistant that understands user queries and responds based on the current knowledge base.

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Okładka: Maximize ROI through OEE Optimization and Energy Management in MES/EMS Systems
OEE
Omnimes
Green Energy
+1

Maximize ROI through OEE Optimization and Energy Management in MES/EMS Systems

In the age of Industry 5.0, where energy efficiency becomes a key differentiator, manufacturing enterprises face unprecedented challenges. According to the new EU Directive 2023/1791 on energy efficiency, member states must achieve an average annual energy savings rate of 1.49% between 2024–2030. This means that companies must radically rethink their approach to energy management. A crucial tool in this transformation is the optimization of the OEE (Overall Equipment Effectiveness) index through intelligent energy management in MES-class systems. In both Industry 4.0 and 5.0, OEE plays a key role in ROI planning, reliability, and production stability.

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