GTMI’s IoTfM expertise includes:

• Factory Architectures: Factories of the future need software architectures capable of seamlessly exchanging data across machines and applications. Unfortunately, today’s ad hoc and tightly coupled legacy systems can prove limited. That’s why GTMI has developed a Decoupled Digital Architecture, a high-performance, low-cost, standards-based leap ahead of current legacy systems.
• Machine Communication: GTMI is a leader in streamlining communication with machines on the shop floor. We develop solutions that address the wide variety of protocols used by manufacturing equipment, PLCs, SCADA applications, MES and ERP systems. We have vast experience with protocols such as OPC-UA, Modbus, ROS and SECSII/GEM. GTMI has also helped develop key industry standards, including MTConnect and Computer Aided Manufacturing using XML (CAMX).
• Cloud Computing: Cloud computing is swiftly transforming manufacturing by providing unprecedented access to innovation, software, services and infrastructure. GTMI develops and deploys cloud solutions in an array of areas, including machine learning, Internet of Things, stream analytics, high-speed processing of data, load balancing, standardized architectures, optimal data storage and presentation. We can help you navigate the myriad of cloud services and vendors to reduce costs and enhance success.
• Edge Devices: GTMI is at the forefront of developing edge devices capable of high-speed sensor data gathering, enabling smarter decisions. We know how to install edge devices within machine tools and work cells to efficiently collect, analyze and transmit information, empowering quick process improvements without the need to transfer large amounts of data.
• Machine Learning and Artificial Intelligence: The massive growth of Machine Learning (ML) can deliver exceptional insight into processes and operations. GTMI applies analytic techniques, software libraries and hardware platforms to solve problems that have long frustrated manufacturers. And we go beyond concept to application. Our diverse array of industrial equipment allows us to run experiments to verify ML algorithms, ensuring successful deployment.
• Predictive Maintenance: GTMI can help you minimize the guesswork of scheduling maintenance by implementing a predictive approach. Maintenance routines are often based on the calendar, rather than on true need. Unfortunately, that means parts can be replaced too soon (wasting usable life and causing machine downtime) or too late (resulting in unplanned outages). Our approach allows manufacturers to monitor equipment and perform maintenance when degradation is detected, paving the way for reduced downtime, cost and risk.
• Overall Equipment Effectiveness (OEE): GTMI offers the expertise you need to leverage OEE for your factory assets, delivering information that can be reliably used for comparison, benchmarking and decision-making. We analyze machine utilization, throughput, part quality and performance relative to schedule. Since OEE calculations require data from machine, quality, MES, ERP and scheduling systems, our advanced knowledge of those systems is critical.
• Cybersecurity: GTMI leads research into methods, techniques, standards and software to enhance the security and resilience of manufacturing systems. As technology and equipment are added, security vulnerability grows. Cybersecurity has become a significant cost driver, and many manufacturers struggle to know what to do next. We can help.

To learn more
For more information, please visit the GTMI Factory Information Systems (FIS) web site.

• Burak Bagdatli, Ph.D., Research Engineer II, Aerospace Systems Design Laboratory (ASDL), School of Aerospace Engineering
• James Budd, Ph.D., Chair and Professor, School of Industrial Design
• Olivia Fischer, Ph.D., Senior Research Engineer; Chief, Digital Engineering Division, Aerospace Systems Design Laboratory (ASDL), School of Aerospace Engineering
• Katherine Fu, Ph.D., Assistant Professor, School of Mechanical Engineering
• Amit Jariwala, Ph.D., Director of Design & Innovation, School of Mechanical Engineering
• Thomas Kurfess, Ph.D., Executive Director of GTMI, Professor and HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control, School of Mechanical Engineering
• Christopher Le Dantec, Ph.D., Associate Professor, Digital Media Program, School of Literature, Media, and Communication 
• Alain Louchez, Co-Founder and Director Emeritus, Georgia Tech's Center for the Development and Application of Internet-of-Things Technologies (CDAIT)
• Vijay Madesetti, Ph.D., Professor, School of Electrical and Computer Engineering
• Dimitri Mavris, Ph.D., Regents Professor, Boeing Professor of Advanced Aerospace Systems Analysis, & Langley Distinguished Professor in Advanced Aerospace Systems Architecture, School of Aerospace Engineering
• Shreyes Melkote, Ph.D., Morris M. Bryan, Jr. Professorship in Mechanical Engineering
• Roxanne Moore, Ph.D., Research Engineer II, School of Mechanical Engineering
• Tegas Puranik, Ph.D., Research Engineer II, Aerospace Systems Design Laboratory (ASDL), School of Aerospace Engineering
• Alyssa Rumsey, Ph.D., Senior Industry Engagement Manager, Center of Innovation for Manufacturing, Georgia Department of Economic Development
• Christopher Saldana, Ph.D., Ring Family Professor, Manufacturing 
• Wei Wang, Ph.D., Assistant Professor, School of Industrial Design
• Chip White, Ph.D., Associate Professor, School of Chemical and Biomolecular Engineering 
• Miyako Wilson, Research Engineer, Aerospace Systems Design Laboratory (ASDL), School of Aerospace Engineering
• Chuck Zhang, Ph.D., Harold E. Smalley Professor, School of Industrial & Systems Engineering