Maintenance is perhaps the biggest efficiency gain in Industry 4.0. Machines that are malfunctioning or underperforming are easy to identify, troubleshooting is quicker, and fixing them simpler. The end result is more uptime and higher productivity.
Overview
A smart engineer can save their employer millions of dollars with a predictive maintenance program.
It starts with sensors that monitor key metrics of the equipment such as manufacturing output, vibration, temperature, oil levels and more. If any of these parameters is out of spec, it triggers an alert to the operator, so the best course of action be determined and implemented.
If the malfunction is critical, maintenance teams or professionals can be dispatched ASAP, or if less than critical, the operator can keep a close eye on the machinery until a more convenient repair time can be found. Even the actual fixing of the equipment is smoother, as manuals, diagrams and reference materials are often just a few swipes or clicks away. And certified repair technicians can be consulted on the spot with a tablet or HUD eyewear and can guide local technicians through complicated repairs or tasks.
This is an enormous advantage over traditional maintenance, where two schools of though prevailed. Scheduled maintenance provided predictable uptime, but sometimes was excessive, and therefore costly. Conversely, responsive maintenance carries the most risks, as once a machine is down, not only are expensive repairs probably necessary, but the expenses are compounded by each minute of lost productivity.
Predictive maintenance plans are providing engineers the insight and adaptability required for ideal machine uptime vs. maintenance expenses. And this panel of experts can help you get started.
Speakers
Edgar Sotter is a Senior Director of New Product Technology in the CSA Group. His team looks to the technology horizon for new developments and applications that could present opportunities for CSA's Test, Inspection and Certification business. Prior to joining CSA, Edgar worked as Senior Director, Product Strategies & Client Solutions at Systems with Intelligence Inc. (SWI), a manufacturer of monitoring products for the electrical sector. Edgar has 20 years of combined academic, technical and business experience. He has a PhD in electronic engineering from Universidad Rovira I Virgili (Spain), an Executive MBA from the University of Toronto (Canada) and a Bachelor's of Science in electronic engineering from Universidad del Norte (Colombia).
Ryan has been working with Litmus for the past year as an Enterprise Account Executive. Prior to that he spent over 20 years in the instrumentation and controls industry. Kershaw is also a board member of the Smart Manufacturing and IIoT Division of ISA where he works with the Industry Readiness and Maturity Committee. Previously, he was the National Sales Manager with Mettler Toledo and the Vice President of the Canadian Process Control Association. Ryan holds a Bachelors Degree in Business Administration from Yorkville University and a Certified Automation Professional designation from ISA. Ryan lives in Toronto, Canada.
Tim Shinbara is the Chief Technology Officer for AMT – The Association For Manufacturing Technology, a U.S.-based trade association, where he is responsible for industrial research and development, standards, and technology discovery. Shinbara has served in multiple roles and levels to advance the state of U.S. manufacturing technology, including supporting local and national legislation and policy development, and collaborating globally to better enable the manufacturing industry for the next generation. Shinbara is a board officer for the MTConnect Institute, an advisory commissioner (on manufacturing and supply chain) for Loudoun County in northern Virginia, and is also a past ASME Congressional Fellow for Senator Marco Rubio. He previously led manufacturing technology development projects at Northrop Grumman Corporation, supporting aerospace and space sector programs.
Over the past 34 years, Dean Phillips has been a leader in the technology sectors and the world of smart manufacturing. His is a continuous advisor to the smart manufacturing advisory committees with Society of Manufacturing Engineers and PMA Precision Metalforming Association. Phillips has been a speaker on IoT, AI, robotics, VR and AR. He is the creator of reality safe, a VR / AR safety training solution for manufacturing, working with Purdue. Phillips has spent the majority of his time advancing IoT, maintenance and safety to be more predictive and develop outcome based solutions. He has been on the board of directors for SME and an advisor for TTU, MTSU and TCAT. He has been a contributing lecturer on big data and it’s value and need for artificial intelligence to filter the information into actionable items. Phillips provides safety and development to cobot users and assists universities to outline expectations from manufacturers.
George Young has over 30 years’ experience in Plant Management and Consulting to the world’s leading manufacturers. Dr. Young specializes in applying digital methods to transform product development, manufacturing, and maintenance performance. He was a founder of Kalypso, acquired by Rockwell Automation in 2020, a recognized leader in digital solutions for industry 4.0. Kalypso’s data scientist have delivered a number of innovative predictive case uses, which will be featured in the discussion.