Don't miss out our talk at WMTS where you can explore smart and robust scheduling tactics. Join AI4Manufacutring members, Sriraj Meenavilli and Soumya Ranjan Sahoo, Ph.D. from NTWIST as they discuss the many benefits of implementing AI into your scheduling process.
The Details: June 01/2023 from 11:00 am - 12:00pm at the Edmonton Expo Centre.
About the Talk:
The fourth industrial revolution, Industry 4.0, has ushered in a new era of digitization, automation, and intelligence for manufacturing processes. At the heart of this revolution lies smart, robust scheduling enhanced by Reinforcement Learning (RL) and Machine Learning (ML). However, existing systems are challenged by disconnected manufacturing systems and operational uncertainties. At this conference, we will discuss the synergistic integration of RL and ML into robust scheduling systems, allowing for the proactive responses to shifts in demand and production capabilities, as well as the selection of optimal strategies for scheduling decisions. This integration will result in improved interconnectivity, data-driven decision-making, and resilient, adaptive manufacturing, leading to an increase in operational efficiency of up to 15%, improved resource allocation of up to 10%, increased customer satisfaction of up to 20%, and a reduction in operational costs of up to 8%.
Meet the Speakers:
Soumya Bio:
Soumya Ranjan Sahoo is presently serving as a machine learning researcher at NTWIST. He earned his doctorate in process control from the University of Alberta's Department of Chemical Engineering. With a seven-year background in machine learning and process control, his present research focus lies in dynamic optimization, reinforcement learning, image processing, and model predictive control. His academic excellence has been recognized with the esteemed Alberta Innovates Graduate Student Scholarship award.
Sriraj Bio:
Sriraj Meenavilli is a product manager at NTWIST and a research assistant at Simon Fraser University. Sriraj’s research lies in Representation learning, DNN's and Optimal control. He has been working in the A.I. space developing machine learning algorithms and products through work and school for the past 6 years.
