Are you a Manager, Process Owner, Solution Architect, Strategist, or Business Analyst?
Join us in the Business Process Connection to learn how to implement these processes into your organization.
"I have found the business process connection to be the ideal setting to tackle strategic and leadership topics with counterparts from many industries. I am excited for the more focused and discrete themed tracks being introduced this year within the business process connection."
-Paul Nelson, Associate Fellow, PLM Discipline, Orbital ATK
This Connection will focus on 11 business enabling topics, each a day-long, focused to provide best practices, proven solutions, and a road-map to ensure that your company is not left behind! You can join us for just one, or all four days!
Choose from 11 FULL DAY Themes:
MONDAY | May 8
Realizing the Digital Enterprise; Transforming the User Experience
View the FULL DAY Schedule
Technology is advancing more rapidly than ever and transforming the way we live and work. The proliferation of Virtual / Augmented Reality, advanced visualization and other disruptive technologies like IOT and Cloud are not only enhancing our leisure time, but also transforming the way we work and the products we design and manufacture. This session discusses these and other technology trends in the context of imperatives, implications and opportunities for manufacturing companies as they transform into Digital Enterprises. In addition, Siemens will present a vision for the future of the Digital Enterprise Software Suite.
Each speaker will provide a unique perspective and vision for the future regarding the impact of improvements in technology utilization and process automation followed by a panel discussion. Speakers include representatives from Orbital ATK, Amway, MTD, Lightworks and Deloitte discussing the possibilities for manufacturing companies and representatives from Siemens PLM with a vision for how these technologies will advance the Digital Enterprise Software Suite. Please join us for a look into the future.
Material ManagementView the FULL DAY Schedule
The need for an improved end-to-end material lifecycle data management solution is driven by demand for innovative, compliant, quality, and custom products, product line complexities, and an increased amount of global environmental and social compliance requirements. The effectiveness of the material lifecycle depends on the integration of data and processes into the product lifecycle. This includes the following processes: product planning, raw material certification, sourcing from certified suppliers and approved material specification for that application, design/math release, simulation, part approval, manufacturing, substances of concern and ecodesign.
In this track, we take a close look at the end-to-end material lifecycle as it relates to the product lifecycle and explore business process improvements and lessons learned. We will share best practices and experiences realized by business, IT and Siemens teams through digitization of material data and processes with supporting software solutions.
TUESDAY | May 9
Optimizing Supplier/Partner CollaborationView the FULL DAY Schedule
On average, 80% of complex products are developed by a globally distributed network of suppliers and partners. Given this complex network of actors, an OEM’s ability to collaborate efficiently has an impact on their ability to manage costs, schedules and produce innovative products. PLM Connections is dedicating an entire day to roundtable discussions on collaboration best practices lead by industry leaders. Topics include a review of various collaboration paradigms, standards based data exchange, model based definition, multiCAD product development and other topics related to distributed product development in the increasingly digitized world.
Systems Driven Product DevelopmentView the FULL DAY Schedule
System Driven Product Development (SDPD) is about scaling product development processes to handle increasingly complex products. This requires organizations to evolve from the current document-driven processes to model-driven processes--demanding changes in what, when, and how models are managed vs documents. This SDPD process discussion will review what product development processes need to change, how they can leverage Siemens software PLM offerings and includes advice on affecting organizational culture change to utilize models.
Program Planning and GovernanceView the FULL DAY Schedule
Product development lifecycles are being compressed at rapid rates while product technologies are increasing at rapid rates. This means that more disciplines, and more people, are involved in the program execution. With today’s global markets, operations and supply chains, the program participants are often geographically and culturally dispersed. These factors necessitate program planning and governance capabilities integrated within the PLM platform so that where teams do their work also provides the context and planning of why and when that work should be performed.
WEDNESDAY | May 10
Additive ManufacturingView the FULL DAY Schedule
A massive disruptive change is rewriting the rules of product design and manufacturing: additive manufacturing. This is an unstoppable force that’s only growing stronger as it sweeps across every industry. Companies must learn how to embrace it, or they’ll disappear. This insightful and immersive Business Process topic will challenge your conventional thinking by showing you how manufacturers are rewriting their rules with additive manufacturing.
Application Lifecycle ManagementView the FULL DAY Schedule
In today's complex development environments, organizations find themselves facing an uphill battle trying to successfully orchestrate disparate teams. The clear demarcation of the boundary between product development and software development is blurring fast as software increasingly becomes a major element of products. To be sustainable and profitable, companies must integrate these critical engineering disciplines. Application Lifecycle Management focuses on the processes for software and systems engineering. Product Lifecycle Management focuses on the complete lifecycle of products. The two worlds are literally colliding as software is a key driver for product innovation in today’s environment. Software is where the future is and ALM is managing this future. If software is a consideration in your product portfolio, you don’t want to miss out on this connection!
BOM/Enterprise ChangeView the FULL DAY Schedule
Product development lifecycles are being compressed at rapid rates while product technologies are increasing at rapid rates. Enhancements and modifications to products can have far reaching implications – a simple decision change to implement a key market requirement may increase production costs, introduce new field maintenance requirements, alter the quality profile, etc. An enterprise change management process that provides common visibility into the product’s structures (engineering, FMEA, manufacturing, service, etc.) ensures that all stakeholders can assess and provide feedback on the change to ensure that all impacts are measured, considered and planned for.
THURSDAY | May 11
Closed-Loop ManufacturingView the FULL DAY Schedule
Closed Loop Innovation is the next differentiator for the Digital Enterprise. Smart, agile innovation is a competitive advantage, and the most important factor for business growth. The process to get profitable, innovative products to market on-time at the highest quality involves careful coordination, and more importantly collaboration, across a complex global network of people, systems and information. Product design is becoming increasingly virtual, and the challenge lies in the seamless connection of the virtual world to the physical world of manufacturing and back again, effectively closing the loop and preventing the risk of unexpected errors or brand damaging recalls. Attend this themed connection and learn about the next big differentiator, how you can close the loop and enable true collaboration between product engineering, process planning, production execution and automation to take your company to the next level of the Digital Enterprise and win profits from accelerated innovation.
Data Driven IntelligenceView the FULL DAY Schedule
In today’s fast paced world, we generate more data, faster than ever before in our history. In order for global companies to stay ahead of the competition, leveraging the intelligence from IoT and big data analytics is necessary for smart decision making. Having complete access to big data not only reduces time to resolution, but also enables companies to prioritize decisions to continuously improve product performance and refine their design and manufacturing operations. This session will explore the strategy and best practices for uncovering actionable intelligence from IoT and big data. Discover how this intelligence drives smart decision making across an enterprise in departments such as supply chain, quality, warranty/predictive maintenance, customer service, product design, operations manufacturing, and sales and marketing. Learn how leveraging the big data you already own will improve product performance and the customer experience.
Predictive Engineering AnalyticsView the FULL DAY Schedule
"Predictive Engineering Analytics (PEA) is the application of multi-discipline simulation and test, combined with intelligent reporting and data analytics to develop digital twins that can predict the behavior of products across all performance attributes, throughout the product lifecycle."
- Siemens PLM
Product development used to be straight forward - you created a design, built it, broke it, and redesigned it until you got it right. Today's demand for quickly bringing complex, reliable products to market at lower cost is making a more integrated approach to design, testing, and simulation necessary. However, this approach is still working to catch up to the digital revolution. Today's mindset is to design and then verify the design in isolation through simulation and test. This process is problematic because everyone is designing, building, and analyzing product modules in their own groups. When the various modules come together to create a complex system, problems are encountered. Earlier integration of product modules with the supporting simulation and test is required for more streamlined product development. Leveraging the product's digital twin, a digital representation that can predict product performance, as a whole system, throughout each step of the development process, is one way to achieve this goal.
This Themed Connection will explore the tools and processes available for creating the digital twin through simulation, test, and data analytics. It will look into how the digital twin can be used to support the entire product lifecycle from conceptual design to product warranty. We will also discuss the real world challenges surrounding the use of those tools for improving product development. Finally, we will begin to explore future applications of predictive engineering analytics for design, manufacturing, and product maintenance.