IIC 2018 Conference: Utilizing IoT Analytics to Reduce Robot Downtime and Optimize Operations Efficiencies

Plan to attend The IIC 2018 Conferences to gain deeper insights into new manufacturing technologies and ideas!

About the topic 

The recent explosion of data generated by the growing adoption of the Internet of Things (IoT) has companies searching for the best way to harness this information to reduce costs and drive improvements. Today’s manufacturers are seeking more proactive approaches to maximizing their operational efficiencies and identifying performance issues before they turn into production downtime. Many are turning to scalable, cloud-based solutions to mine their robot data for analytical insights that drive improvements and lay the groundwork or future enhancements. This presentation will center on the strategies companies are adopting to implement these measures, the challenges they face, and actionable advice for attendees to get the most out of similar projects.

Learning Objectives:

• Explain how IoT and analytics can be leveraged to reduce downtime and improve operational efficiencies
• Discuss the benefits of adopting an incremental approach to implementing analytic solutions for proactive maintenance
• Introduce cloud integration strategies form overcoming the silo environments in manufacturing
• Identify key security considerations when utilizing cloud strategies for analytic data gathering and reporting

Registration is now open, so check out the IMTS 2018 website for more information. 

Meet your presenter 

Andy Chang is the director of Product Marketing Americas at KUKA. In his role, Chang focuses on introducing cloud, web, and mobile technologies that augment traditional operating technologies. Leveraging a platform-based approach, Chang has helped create holistic workflow solutions that set the industry standard for capability and ease-of-use in product lifecycle management. Before joining KUKA in September 2015, Chang held various professional positions ranging from a controls engineer to a global program manager for academic research responsible for driving strategic partnership, product management, product strategy, and field enablement.   Chang has written more than 100 scientific articles and publications. He graduated from the University of Michigan with a master’s degree in mechanical engineering, and received his bachelor’s degree in mechanical engineering from the University of California, San Diego.