In today’s episode, we dive deep into the world of process control strategies with insights from industry veterans Doug Bruce and Ken Stocco. They break down the fundamental differences between discrete manufacturing—where components are assembled into final products—and continuous processing, which involves the constant flow of raw materials.
Ken shares his 28 years of experience in mining and how subtle variations in raw materials can impact production. He highlights the importance of dynamic process management, where continuous measurement and real-time adjustments are crucial for maintaining quality.
Whether you’re in manufacturing, mining, or any industry dealing with raw materials, this conversation will reshape your understanding of process control.
Episode chapters
- 00:00 – Introduction and episode overview
- 01:33 – Defining discrete vs continuous manufacturing
- 02:46 – Realization of different process control needs
- 04:39 – Managing input variability in continuous processes
- 06:02 – Continuous measurement and dynamic process management
- 07:06 – Data overload and reaction delays in process control
- 09:17 – Buffer management and its importance
- 11:38 – Effects of buffer management and process variation
- 12:55 – Learning from process deviations and improvements
- 13:43 – Role of technology and automation in process control
- 16:32 – Operator experience versus automation
- 18:05 – Training new employees and maintaining process knowledge
- 19:36 – AI and process control: similarities and differences
- 20:33 – Incorporating new learnings into control systems
- 22:32 – Equipment availability, reliability, and repair management
- 24:23 – Predictive maintenance techniques and best practices
- 27:04 – Advice for leaders in process control
- 28:15 – Final thoughts: understanding the process before making changes
Listen to the episode: Mastering Process Control: Discrete vs Continuous Manufacturing on Libsyn
Want help applying these ideas in your organization? Contact Work Stream Consulting.
