IIoT/MDA- Industry 4.0/Predictive Maintenance: Innovations in Process Monitoring & Diagnostics

The Inaugural Integrated Industries Conference on Tuesday, September 13, 2016 will bring together industry experts with the goal of addressing solutions to current manufacturing concerns, sharing new trends & best practices, and ultimately helping companies thrive in today’s dynamic manufacturing environment.


Chicago, Illinois - Here’s the problem: The typical production facility operates 100s if not 1,000s of PID control loops and maintains an even larger number of production assets.  The typical historian stockpiles data, and extracting information that’s actionable and relevant to your role can be a challenge.  Meanwhile, pressure just increased on everyone to improve production efficiency and throughput.

Control loop analytics leverage the information stored in a production facility’s data historian.  They actively evaluate each of the individual PID control loops at a facility.  They identify issues - the ones that undermine production performance and eventually lead to shut-down. They also isolate root-causes and recommend situation-appropriate corrective actions.  From mechanical problems to poorly  tuned PIDs, control loop analytics uncover performance and reliability issues that are invisible to the naked eye.

From operations and engineering to maintenance and management, control loop analytics target the unique information needs of those groups that are tasked with maximizing up-time and achieving production goals.  This presentation covers recent innovations in control loop performance monitoring (CLPM) and shares industry case studies to demonstrate the value of loop analytics.  Included are engineering and financial metrics used to quantify the value of CLPM solutions.

About the speaker
Robert Rice, PhD is Vice President of Engineering for Control Station, Inc. As the company’s chief product architect he oversees both product development and engineering services.  He has provided expert analysis and insight on matters related to process control to leading manufacturers across the process industries.
Dr. Rice is a recognized expert in regulatory control systems.  He has published extensively on topics associated with automatic process control, including multi-variable process control and model predictive control. He is an authority on both model-based and advanced controls, including unstable and integrating processes. Dr. Rice is widely published, and he has been a featured presenter at numerous industry conferences and partner forums.  In 2010 Dr. Rice was selected by Control Engineering for recognition in the magazine’s inaugural class of Leaders Under 40.
Dr. Rice received his Bachelor’s degree in Chemical Engineering from Virginia Polytechnic and State University, and he received both his Master’s and Doctoral degrees in Chemical Engineering from the University of Connecticut.  He is an active member of the International Society of Automation.