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How to apply IoT, Industry 4.0 & Predictive Analytics in the Manufacturing Domain

How to apply IoT, Industry 4.0 and Predictive Analytics in the Manufacturing Domain

A Complimentary CIMdata Educational Webinar with Mike Fry, Director, Manufacturing Systems Engineering Consulting Practice, CIMdata

April 13, 2017
11:00  EDT | 08:00  PDT | 17:00 CET

Replay Webinar About our Speaker

Do any of the following statements sound a little too familiar?
  • I have heard about IoT, Industry 4.0, and Predictive Analytics but I'm not sure where they fit in my existing PLM architecture.
  • There is so much data and I have no idea how to best gather it.
  • I have the data but I feel overwhelmed by the amount of it.
  • We have so many parts that is hard to figure their life expectancy.
  • We want to produce the highest quality products but experience significant process variability and would like to reduce it.
  • I need to optimize my maintenance plan but am not sure how to do that.
  • We are plagued by warranty issues and need to identify them sooner.
  • I'm ready to implement but need a roadmap to help me.

Computer-Aided Manufacturing (CAM) has been used by many industry sectors over the past several decades. However, current practices do not leverage all the opportunities to improve the creation of information and decision-making. This technology is on the cusp of change with the advancement of interconnected devices and industry standards. This webinar will concentrate on new and emerging (disruptive) technologies including Internet of Things (IoT) and Industry 4.0 practices, as well as applying Predictive Analytics. Those who enable IoT and Industry 4.0 processes will expand their digital product definition to better manage and service the products they bring to market. By improving the digital definition of a product using PLM-enabling technologies, industrial customers can enable greater factory efficiency and automation. Applying a lifecycle approach to assets combined with IoT technologies also creates the potential to implement new service-based business models. A roadmap will be offered as a starting point on this transformation.

What will I learn by attending this webinar?
  • You will find out where IoT, Industry 4.0, and Predictive Analytics fit within an Enterprise Application Architecture and how this is supported by PLM.
  • You will gain an understanding of why IoT is the catalyst for manufacturing transformation.
  • You will learn where Predictive Analytics can enhance your manufacturing ability.
  • You will understand which business domains in manufacturing are affected by IoT, Industry 4.0, and Predictive Analytics.
  • You will find out how to start an implementation of new technology in your operation.
Join us for this webinar if you want to:
  • Better understand how PLM supports new technologies such as IoT and Analytics.
  • Understand where these new technologies fit within the manufacturing domain.
  • Learn best practices that lead to better decision-making and quality control.
  • Learn more about how CIMdata is supporting these new technologies.
Who should attend?
  • Manufacturing planners and managers
  • PLM team leaders
  • PLM team members
  • PLM users
  • Manufacturing engineers
  • Field service personnel
  • Product managers
  • IT leadership
  • Solution and service providers
  • Industrial companies seeking to make CAM investments
  • Industry and financial analysts
  • Anyone who wants to learn more about PLM, IoT, Industry 4.0, asset management, and predictive analytics

During the webinar you’ll also have the opportunity to ask questions about the topics discussed.

 

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