ABD SOCIETY & UNC CHARLOTTE’S

DATA ANALYTICS SPEAKER SERIES

[WEBINAR]

Lead Time Prediction: Data Science Applications in the Steel Manufacturing Industry

Thurs, april 23rd, 2020

12pm - 1pm

MEET our speakerS

Dan Krug | LinkedIn

General Manager, Information & Digital Technology at Nucor Corporation.

Dan Krug is Nucor’s General Manager of Information and Digital Technology. He has spent 17 years with Nucor and 10 years within the automotive, materials and textiles industries. Dan has served in operational, human resources, digital and information technology roles over his career. In addition to many of the typical IT areas of responsibility, he is currently focused on helping Nucor integrate Information and Digital technology into the company’s strategic efforts to differentiate the customer experience from competitors. Nucor’s use of data, analytics and business intelligence is helping better integrate information and digital technology into mainstream business strategy initiatives across all of the company’s operating units

Kevin Pedde | LinkedIn

Principal Consultant at Syntelli Solutions Inc.

Kevin is a passionate problem solver that comes to Syntelli with 9 years of Data Science and Analytics experience under his belt. During this time, he’s had many success stories of implementing models and solutions to help the companies he works for. In other words, Kevin is known for turning data into dollars. Kevin also comes with strong leadership skills and rich experience building and effectively running Data Science teams. More recently, Kevin was a part of the team that won the 2016 North Carolina Technology Award for Best Use of Analytics and was also a part of two winning hackathon teams here in Charlotte. At Syntelli, Kevin will look to expand the teams Data Science capabilities, help grow and expand client relationships and build a few models.

Joint PRESENTATION TOPIC

Lead Time Prediction: Data Science Applications in the Steel Manufacturing Industry

Building and maintaining customer partnerships is crucial for any business to be successful and grow. There are many ways companies can do this including having great quality products or very responsive customer service. Companies are now taking this a step further by better informing their customers when their products are going to be shipped. This is especially important for manufacturing companies whose made-to-order products are used as raw materials by their customers; as those customers rely on timely shipments to better plan production on their side. Estimating when a product will be ready to ship can be quite the cumbersome task, as there are many factors that play into when a product will be manufactured. When done correctly the customer is happy and this helps maintain a good relationship with the manufacturing company. With the necessary data and applying Machine Learning, this task becomes easier. During this talk we will discuss the Machine Learning solution that was put in place to help Nucor, the largest steel producer in the United States, better estimate the lead time of a product and when it will be ready to ship.