BEMA Convention 2024: Workforce Edition

Building Factory Dashboards for Industrial Internet of Things

Brief Abstract: This session will cover the integration of digital twins with factory dashboards in the context of the Industrial Internet of Things (IIoT). Learn how to visualize and analyze real-time data from your machinery and processes, enhancing operational efficiency and decision-making. This session will cover some common frameworks that can be used and sample factory dashboards built on industry scalable tools to implement advanced digital solutions that bridge the physical and digital worlds of modern manufacturing.

Instructor:  

• Prof. Binil Starly

Knowledge Graphs: An Enabler of Supplier Discoverability and Enabling Digital Supply Chains 

Brief Abstract: Knowledge graphs power some of the world's largest companies when user need to search for products, people or images. These can be extremely powerful to enable supplier discovery and enabling a digital supply chain. This session will cover the basics of Knowledge graphs, its internal structure, relation to Ontology and how it enables a Digital Supply Chain from supplier sourcing and supplier discoverability.

Presenter:

• Prof. Farhad Ameri

Industrial Data Flow from Machine Assets: A Key Enabler of Digital Twins in Manufacturing

Brief Abstract: This session will cover how data from machines are a critical infrastructure necessary to create digital twins of machines. The session will cover an overview of various methods of data communication from a physical machine asset to a factory's IT system. The session will highlight the current technology platforms - both hardware and software that are available in the context of machine-to-machine communication (M2M), that are critical towards the digital transformation of factories.

Presenter: 

• Prof. Binil Starly 

INSTRUCTOR INFORMATION

Binil Starly

• Director and Professor, School of Manufacturing Systems and Networks 

Binil Starly is a professor and the director of the School of Manufacturing Systems and Networks. Starly, who was named one of the 20 most influential professors in smart manufacturing by the Society of Manufacturing Engineers in 2020, looks forward to building core competencies in advanced manufacturing processes, cybermanufacturing and operations engineering, digital factories, and robotics and automation at ASU. Starly was awarded a National Science Foundation Faculty Early Career Development Program (CAREER) Award for his contributions to smart manufacturing. 

Farhad Ameri

• Farhad Ameri is an Associate Professor in the School of Manufacturing Systems and Networks and the Director of Semantic Computing lab.

His research interests include Knowledge-based Engineering (KBE) in design and manufacturing applications, Ontology Engineering, Digital Supply Chains, and Design Theory and Methodology. Dr. Ameri received his doctorate degree in Manufacturing Engineering in 2006 from the University of Michigan. He holds B.S. and M.S. degrees in Industrial and Systems Engineering.

He is one of the founding members of the Industrial Ontology Foundry (IOF) and a member of ASME and IFIP WG 5.7 Advances in Production Management systems (APMS). His research team has published research articles in high-impact journals such as ASME Journal of Computing and Information Systems in Engineering, ASME Journal of Mechanical Design, International Journal of Production Research, ASME Journal of Manufacturing Science and Engineering, and many others. Dr. Ameri’s research has been funded by federal agencies such as NSF, NIST, Digital Manufacturing Institute (MxD), and multiple industrial sponsors.