Check back for conference programme!
Presentations at the event will focus on two areas —
Pain Points and Value Expansion
With collaboration increasing inside and across organizations, collaboration solutions should ideally scale to cover collaboration on full and complex systems and be open to support the heterogenous IT landscape necessary in engineering IT.
PLM Systems Integration
Medium and large enterprises have PLM systems that in reality consist of IT systems from several vendors. It is not feasible to buy all from one vendor. Tell us about the need for integration, how it is or can be achieved and the realities encountered in doing so.
The Digital Transformation and Configuration Management
Configuration management (CM) has been around for many years. Much of CM is deeply embedded into contracts and regulatory processes. These processes are document heavy. What is needed to transform them into full digital processes?
Enterprise Change Management
Change is always with us, whether driven by design or by the physical products and systems themselves. It is linked to processes which are increasingly rapid, distributed, and specialized. Understanding data primacy, authority and the use cases around change is essential to maintain data currency and ensure trust in the digital thread. Share your experiences around change, both positive and less positive.
Data Quality and Implications on Digital Transformation
Networks of business partners will have to improve integration and collaboration. In reality many efforts have fallen short because of issues with data quality. What can be done to incorporate legacy and manage new investments in PLM? What are the roles of technology, people and processes?
Master Data Management (MDM)
MDM still has a way to go to deliver value in engineering data. While MDM has seen successful implementations in ERP and SCM domains success stories in engineering seem rare. Why is this and what needs to be done?
Global trade and the management of high technology components and system have been an issue for many years. With increasing collaboration and high-tech collaboration the need to manage Export Control is on the rise, especially considering the opportunities (and risks) coming from increased digitalization.
Design for Additive Manufacturing (DfAM)
Additive manufacturing (AM) processes and materials are evolving rapidly, enabling radical changes in part design using shape optimization and product manufacture using metals, composites, other materials. Specialized design & analysis techniques are evolving as AM moves upstream from service parts to production.
The idea with the Circular Economy includes more reuse and remanufacturing. The Circular Economy calls for rethinking the engineering processes but also rethinking of business models, moving towards products as a service.
Simulation Data & Process Management (SDPM)
Frontloading the engineering work by working digital in early phases has been a vision and dream for a long time. We are now at a stage where new capabilities allow this to be done but doing so means moving simulation into mainstream PLM. Simulation data has to be managed better and also integrated with other domains.
Applying Analytics for Product Lifecycle Innovation
The competition is on to bring better and cheaper product and product-service combinations to the market faster by leveraging intelligence hidden in enterprise data. Artificial intelligence is being applied to leverage PLM-related data and how data flows between its adjacent enterprise systems.
Consumption of distributed, heterogeneous and complex cloud services for internal users and external business partners is no easy task. How will PLM benefit from this new IT paradigm? How can PLM (and IT) support this environment?
Ideas for Generative Design, including topology optimization, were developed in the 1980s but the evolution of additive manufacturing has sparked new interest. Generative Design, Simulation & Analysis, Big Data Analytics, Advanced Materials, and Robust Design will converge to revolutionize product development over the PLM lifecycle.
Enabling the Socially Collaborative Workforce
New employees are very familiar with social media and related technologies and they expect constant access to these tools from their desktops as well as their personal phones and tablets. What is the plan for securing and protecting your company’s intellectual assets in this open world?
Predictive Maintenance–Benefits of Closing the Product Lifecycle Loop
To repair a system not yet broken will deliver value to many in the business network. Doing it too early is however a cost to all so the key is to predict optimally. How can this be done with all new PLM capabilities including IoT?
This presentation will present what is required for the Digital Thread. What are the domains that should produce and consume data for the thread and how rich should it be? Is the use inside or outside of organizations or maybe both?
While Digital Twin has been a favorite topic at PLM conferences for the last couple of years there are still many opinions about what it is. As always, the definition will become clearer with success in the field and value delivered. What is new with Digital Twin and what must be done to secure success?
Agile production processes are enabled using the Smart Manufacturing concept. The integration of information technology (IT) and operational technology (OT) holds much promise but lacks wider implementation success. Where are we and where are we heading?
Every day our life depends on standards, hundreds of them. In PLM there are several standards, but some stand out as increasingly important. Which ones, how are they used, and how can uptake be encouraged?
Watch a 25 minute video from engineering.com of PDT Europe 2017 Click here
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Watch a 24 minute video from engineering.com of PDT Europe 2014 Click here
Watch a 18 minute video from engineering.com of PDT Europe 2013 Click here
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