Industrial Internet of Things for Advanced Manufacturing
About This Course
The Industrial Internet of Things (or Industrial Internet) differs from the Internet of Things which is focused on getting consumer electronics and other items connected to internet. IIOT focus on bringing greater visibility and control over the different parts of the industrial operations, from assets tracking, operations feedback, maintenance monitoring etc. The end result is deep insight into the operational models of the manufacturing process, and allowing for the unlocking of the business value through greater efficiency.
This two day course is a combination of lectures and case studies with discussions. It is highly relevant for managers and engineers alike, helping them to develop skills in building and deploying industrial internet of things.
What You'll Learn
The Landscape of Industrial Internet of Things
Applying Industrial Internet of Things into Advance Manufacturing: Understanding the manufacturing process, Creating the data model and defining the user model, Identifying opportunities for data analytics and M2M connectivity, Information technology vs Operational technology, Role of Analytics in Industrial Manufacturing, Getting insights into process optimization
Day 2
Case Studies of Industrial IOT
What are the critical problems that industrial companies are trying to solve with Industrial Interenet of Things? How are these problems being addressed and what are the key use cases? If you follow the press and vendor marketing, there are a wide range of outcomes being sought, but the overwhelming messaging is focused on no unplanned downtime and predictive maintenance � collectively referred as Asset Performance Management. This talk will explore the market challenges and opportunity around Asset Performance Management and GE Digital�s point of view on how this market is defined, emerging business models, GE�s technical architecture and several case studies.
Gartner defines Asset Performance Management as a market of digital tools and applications designed to optimize operations and maintenance of assets essential to the operation of an enterprise. Key focus outcomes of APM tools and technologies include reducing unplanned downtime, excess repair work, maintenance and material costs, extended asset run time and availability and reduction of operational, environmental and production risk.