Juha Pankakoski

Leveraging IoT, Service and Data

The service side of Konecranes makes up 45% of their total revenue. With such an important part of the business, it made sense to expand and advance this offering with the use of digital technology.

By leveraging IoT, sensory technology and intelligent data systems, Konecranes have developed an integrated, smart business strategy that allows better connectivity with their customers and above all a higher profit return, making more out of their service model. 

With over 12 years in Konecranes, Juha, the CDO, who has seen and implemented many changes in their IT and Data strategies, presents Konecranes' IoT and Data journey. 

This session covers:

  • Combining IT, Data and Product Services for an integrated business strategy
  • Data visualisation: how can you get real time product information, anytime, anywhere.?
  • Storing and structuring data through PLM, IoT and Cloud
  • Embracing the 'product' as a service' business model
  • Utilising business intelligence (BI) tools to visualize data
  • Putting your data to work - aligning real-time information with your company strategy
  • The end goal; constant connectivity to your customer and rapid response to their needs

Craig Humanchuk, Tim Gieske

Taking GE Aviation's Data Management Architecture Digital

GE Aviation’s data was residing in multiple places globally and within each place was a complete mixture of structured and unstructured formats. Ultimately, this meant that trying to combine all of this information together into one place to heighten speed and visibility was impossible and as such, was hindering the overall efficiency of the organization. The traditional PLM platform they had invested in was failing them; there was no way that this platform could capture the entire enterprise-wide process and so they began to look for a solution that could.

Enter the ‘digital thread’. Leveraging on GE’s success in the Industrial Internet market, they began to translate successes from their parent company, into their aviation business. This session covers the strategic and technical steps for success:

  • How were GE Aviation’s legacy data systems failing them?
  • What was the incentive and drive to look to the Industrial Internet and analytics as a solution?
  • How was/is GE’s Industrial Internet being leveraged into the Aviation business?
  • What does the Industrial Internet mean to data strategy and how does this tie in with analytics?
  • What did/does this roll-out look like? Where was the pilot and what were the learnings?
  • How is the digital strategy being integrated with existing systems?
  • What are the long term goals of a digital data strategy?

Video mentioned in presentation can be found on YouTube here.

Michael Grieves

IoT, the ‘Digital Twin’ and Monitoring After-Market Product Performance

Allowing revenue streams to stop at point of sale is, for many, a thing of the past.  Providing a product and an attached service contract however, maximizes the bottom line while maintaining customer engagement and in theory, loyalty.  After all, if you made the product and have all of its related data, there is no one else better placed for the job of servicing it.

But this needs to go beyond a warranty and the real-time and continuous connectivity opportunity offered by the industrial internet provides a method of constant information generation, collection and analysis so a full prognostic operation is underway at all times. By leveraging existing product data and the data being generated in the after-market, a Digital Product Twin can be created that allows for the continuous monitoring of its physical partner and allows you to always be one step ahead of failure.

  • What does the Digital Twin mean in terms of product information from design through to manufacturing?
  • Front running simulation of after-market performance in real-time to predict and therefore avoid downtime and failure
  • What is the role of IoT in realizing this model?
  • Exploring example use cases
  • What part does PLM and it’s associated product data play in enabling a prognostic strategy?
  • How do companies need to be thinking, what understanding is needed and what information is required to make this a business reality?

Martin Eigner

Using Industrie 4.0

Companies invest and deploy lifecycle management technologies as a supporting infrastructure of a true 'end-to-end' vision. On paper this is all good and well but in practice, this transparency is actually unachievable in most cases and leads to a siloed value chain: PLM for design of product, ALM for development of software and SLM for management of service. However, with the introduction of IoT and related platforms, the model is changing.  In this session, Professor Eigner discusses how you must change in order to reap the benefits.

  • How is IoT affecting the investment and development trends of lifecycle management platforms?
  • Strengthening a true interdisciplinary approach to product lifecycle from concept to service and recycle
  • Upstream integration of Industrie 4.0/IoT in design - model-based engineering
  • Downstream integration in service to effectively connect product with quality, safety and maintenance
  • Extending the focus of lifecycle management tools across the value chain
  • Equipping PLM to support the design and operational aspects of communicating products

Will Valencak, John Rogers

Gaining Value through IoT, Data and Proactive Service

STERIS Corporation, a global $3.35B company servicing the healthcare, life sciences and other industries, has multiple lines of business, including the manufacture and servicing of capital medical sterilization equipment installed in hospitals, pharmaceutical companies and research laboratories. STERIS has embarked on an Internet of Things (IoT) project to send cycle and alarm information back to a central office, and to dispatch field service technicians to proactively service equipment.

John Rogers and Will Valencak from STERIS’ ProConnect IoT Team joined PI to discuss:

  • Implementation of the ThingWorx platform
  • How IoT enables product innovation
  • Real-time analysis of collected data
  • How Big Data and analytics allows you to extract value from IoT
  • Value of deploying an IoT solution within the business

Julie DeMeester

Engineering for the Internet of Things (IoT) - From Physical Product to Digital Experience

The IoT is bringing about unprecedented opportunity to accelerate innovation, meet increasing consumer expectations and gain advantages in a new era of competition. But taking advantage of this opportunity requires thinking about products in new ways. IoT products are more than stand-alone devices - they are complex systems that interact with other products and systems, and involve new ways of user interaction, including web and mobile. Designing products that provide a digital experience for the end user increases the complexity in an already challenging product development process.  

In this session, you can learn about the business opportunity for manufacturers associated with the IoT.   We hear how Raytheon is using the latest tools and technologies to implement model-based engineering (MBE) and linking lifecycle data to:

  • Integrate tools and engineering disciplines  
  • Streamline their development processes  
  • Meet the challenges of IoT product development