Insights
Ideas that shape the future of manufacturing
Guides, case studies, and expert perspectives on Digital Twin, IIoT, IRIS, and Industry 4.0.
Author: Tomasz Jankowski
CMMI – The Foundation of Process Governance and Data Integrity
CMMI (Capability Maturity Model Integration) In the rush to deploy AI and robotics, many manufacturers skip the boring part: process stability and…
EDIH-SILESIA 2.0: Digital Transformation and AI for SMEs with DBR77
EDIH-SILESIA 2.0: Empowering Digital Growth for SMEs with Artificial Intelligence The future of manufacturing and logistics is not just about new machines…
Lean 4.0: The Synergy of Efficiency and Technology
Lean 4.0 For decades, Lean Manufacturing has been the religion of production efficiency, preaching the elimination of waste (Muda) and the pursuit…
Digital Development Roadmap (DRD): From Strategy to Robotization
The world is full of strategic reports that gather dust on executive shelves. The “Execution Gap” – the chasm between knowing what…
Smart Industry Readiness Index (SIRI): The Global Gold Standard for Technical Benchmarking
In the high-stakes world of global manufacturing, intuition is no longer enough. Decisions involving millions of dollars in CAPEX require rigorous, data-backed…
How has the direction of robotization changed over recent years?
The direction of robotization has shifted radically: from simply replacing muscle power to integrating AI-supported decision-making processes. Today, the competitiveness of your…
Advanced Manufacturing (ADMA): The European Path to Sustainable and Human-Centric Industry 5.0
The Advanced Manufacturing (ADMA) methodology represents a paradigm shift in how we evaluate industrial progress, moving away from a purely technocratic view…
More than a Pin on the Map: Why DBR77 chose North Carolina as Our Gateway to American Manufacturing
This week, our leaders laid out a bold vision. Torian Richardson spoke of building a true Makers Network, and our CEO, Piotr…
Determining Production Capacity and Setting Realistic Work Standards
Accurately determining production capacity and establishing realistic work standards are critical for efficient manufacturing. Without precise data, companies risk overloading resources, missing…
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