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Ep. 217 - Reshaping Manufacturing Data Strategy by Connecting Legacy Equipment to Modern Platforms

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Manage episode 496267767 series 2847149
Content provided by Vlad Romanov & Dave Griffith, Vlad Romanov, and Dave Griffith. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Vlad Romanov & Dave Griffith, Vlad Romanov, and Dave Griffith or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Data collection is no longer a back-office task. It is now the foundation of manufacturing intelligence. In this episode of Manufacturing Hub, we are joined by Brian Bribe, founder of Mach Controls, to explore the practical realities of modernizing data infrastructure inside manufacturing facilities.

Brian brings a frontline perspective to OT architecture and walks us through what it actually takes to connect legacy equipment, build scalable pipelines, and enable true real-time decision-making. We dive deep into Unified Namespace (UNS) principles, the evolution of MQTT and Kafka in industrial settings, and why so many manufacturers struggle to get ROI from new digital systems. From co-op student to founder of a systems integration firm, Brian shares how his early hands-on experience shaped his understanding of controls, business systems, and the gaps in between.

Topics include historian layers, challenges with SCADA-based centralization, how to scope a machine connectivity project, practical change management tips, and the path to flattened architectures using modern pub-sub tools. This is a must-watch for engineers, plant managers, and decision-makers looking to make sense of the data revolution inside their factories.

📌 Episode 217 is the first in our July theme focused on Data Collection for Manufacturing Intelligence.

🔗 Learn more about Manufacturing Hub: https://manufacturinghub.live
🔗 Explore Joltek consulting services: https://www.joltek.com/

⏱️ Timestamps
00:00 Introduction and Overview of Data Collection Theme
02:00 Brian’s Journey into Controls Engineering and Integration
06:30 What Legacy Manufacturing Equipment Actually Looks Like
10:00 Why Data Collection is Often an Afterthought in Scope
13:50 The Disconnect Between Machines and Business Systems
17:00 Real-World Discovery Process for Machine Connectivity
22:00 Overcoming Internal Resistance to Data-Driven Projects
28:00 Strategies for Extracting Data from Obsolete PLCs
34:30 Direct Sensor to SCADA vs PLC-Driven Design Debate
41:00 Flattening the Architecture and Breaking the Purdue Model
55:00 What Unified Namespace Looks Like in Practice with UMH

  continue reading

216 episodes

Artwork
iconShare
 
Manage episode 496267767 series 2847149
Content provided by Vlad Romanov & Dave Griffith, Vlad Romanov, and Dave Griffith. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Vlad Romanov & Dave Griffith, Vlad Romanov, and Dave Griffith or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Data collection is no longer a back-office task. It is now the foundation of manufacturing intelligence. In this episode of Manufacturing Hub, we are joined by Brian Bribe, founder of Mach Controls, to explore the practical realities of modernizing data infrastructure inside manufacturing facilities.

Brian brings a frontline perspective to OT architecture and walks us through what it actually takes to connect legacy equipment, build scalable pipelines, and enable true real-time decision-making. We dive deep into Unified Namespace (UNS) principles, the evolution of MQTT and Kafka in industrial settings, and why so many manufacturers struggle to get ROI from new digital systems. From co-op student to founder of a systems integration firm, Brian shares how his early hands-on experience shaped his understanding of controls, business systems, and the gaps in between.

Topics include historian layers, challenges with SCADA-based centralization, how to scope a machine connectivity project, practical change management tips, and the path to flattened architectures using modern pub-sub tools. This is a must-watch for engineers, plant managers, and decision-makers looking to make sense of the data revolution inside their factories.

📌 Episode 217 is the first in our July theme focused on Data Collection for Manufacturing Intelligence.

🔗 Learn more about Manufacturing Hub: https://manufacturinghub.live
🔗 Explore Joltek consulting services: https://www.joltek.com/

⏱️ Timestamps
00:00 Introduction and Overview of Data Collection Theme
02:00 Brian’s Journey into Controls Engineering and Integration
06:30 What Legacy Manufacturing Equipment Actually Looks Like
10:00 Why Data Collection is Often an Afterthought in Scope
13:50 The Disconnect Between Machines and Business Systems
17:00 Real-World Discovery Process for Machine Connectivity
22:00 Overcoming Internal Resistance to Data-Driven Projects
28:00 Strategies for Extracting Data from Obsolete PLCs
34:30 Direct Sensor to SCADA vs PLC-Driven Design Debate
41:00 Flattening the Architecture and Breaking the Purdue Model
55:00 What Unified Namespace Looks Like in Practice with UMH

  continue reading

216 episodes

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