0087 - AI & Supply Chain Analytics in Smart Manufacturing Training Workshop
Course Description
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Many CEOs, CTOs, and other decision-makers are seeing an advantage from the rise of big data and faster computing power. The question arises: How can all this great data drive innovation? Being able to harness the power of data through data science can help to accelerate financial, sales, manufacturing, and supply-chain operations; enable a better, more intimate customer experience; or reduce downtime.
Enterprises are facing challenges accurately forecasting demand and shipping costs in their supply chain. Inaccurate forecasting can lead to widespread disruptions. By leveraging the latest developments in both time series forecasting and decision optimization, enterprises can better harness the power of their own data and use scalable methods to generate forecasts and plan logistics for a large portfolio of products quickly and more effectively. Predictive and preventative models can be applied to mitigate downtime, offset losses, and enable safer working environments.
AI and machine learning also can help drive better, faster products to market. For example, when launching a new product or service, it can be imperative to use data analytics to gain insight into market, demand, and target demographics. In this two-days workshop, attendees will be leveraging a cloud-based analytics platform to execute several labs. Included activities will be accessing and curating data, using automated AI modeling tools, working with supply chain decision optimization systems, and more advanced modeling capabilities.
At the conclusion of the course, the participants will receive a certificate of completion for four professional development hours by IBM and SECS at OU.
Course Outline
February 3, 2022
Day 1 Session (WebEx Call)
10:00 AM – 10:15 AM: Registration on the WebEx
10:15 AM – 10:30 AM: Welcome – Opening Speech: Dean Louay Chamra (OU), Dr. Marouane Kessentini (OU), Dr. Ben Amaba (IBM), Jeff Baetz (IBM), Dr. Danny Dig (UC-Boulder)
10:30 AM – 11:00 AM: Introduction of the Workshop & AI & Supply Chain Analytics
- Dale Mumper – Logistics of the Workshop
- Shuchita Gupta – Cloud Pak for Data Platform Overview & Architecture
- Mike McMahon– AI & Supply Chain Analytics
11:00 AM – 1:00 PM: hands-on workshop with Breakout sessions
1:00 PM – 1:30 PM: Dr. Weng-Keen Wong: Machine Learning for Anomalies Detection
1:30 PM – 2:00 PM: Dr. Ali Ahmad Malik: The role of digital twins for human-robot collaboration in smart manufacturing
February 4, 2022
Day 2 Session (WebEx Call)
10:00 AM – 10:30 AM: Jesse Slater: Presentation in Supply Chain use case
10:30 AM - 12:30 PM: Continue hands-on workshop with Breakout sessions
12:30 PM – 1:00 PM: Dr. Nasim Nezamoddini: Real-time scheduling of reconfigurable manufacturing system
1:00 PM – 1:30 PM: Dr. Marouane Kessentini: Smart Scheduling System with ML Capabilities
1:30 PM – 2:00 PM: Dr. Wing-Yue Geoffrey Louie: Social Robots for Healthcare Delivery
2:00 PM - Q&A & Closing