Are your Manufacturing Processes at Maximum Efficiency?

By Diana

Can you answer YES to these questions…?

  • Do you manage to produce more and faster without increasing the risk of error in your quotations and delivery? Manufacturing process
  • Do you capitalize on your knowledge and best practices and reuse existing elements?
  • Do you have traceability throughout the product’s development process from start to finish?
  • Can you provide your customers with tailored machines that meet their specific needs?
  • Are you able to work and fully cooperate with all your stakeholders around the world on the same project?

If you’ve answered YES to all these questions, your manufacturing process is perfect and you have nothing to do here! Why not share your best practices with us?

However, If you’ve hesitated before answering or even answered no to some questions, you should probably keep reading.

In order to transform your company into a more efficient manufacturing organization and say YES to all questions above, there are a few things you need to know:

The 4th Industrial Revolution

In the age of the 4th Industrial Revolution, a new way of thinking from design to manufacturing is impacting industrial equipment companies.

 

The 4th Industrial Revolution is all about Social, Smart and Flexible production with high value added services.

No need to worry, all this is new, so you haven’t missed anything!

However if you’ve responded YES to some of the questions, then maybe your company is using an Engineered-To-Order (ETO) approach, which is costly and complex. There are lots of solutions to improve and optimize this ETO process.

Here are some key points you may not want to miss…

  • Transform your product architecture into a modular one
  • Develop a strategy to reuse items and best practices
  • Empower all disciplines of the company to work together at the same time on the same project

Still not convinced? Find out more about improving your manufacturing processes,
in our free on-demand webinar here.

Spotlight on Dr. David Gerber: Building a Storied Career Around Easing Design Complexity

By Akio
Paradigms in Computing

“Paradigms in Computing: Making, Machines, and Models for Design Agency in Architecture”
by David Jason Gerber and Mariana Ibanez

Today Dr. David Gerber serves as assistant professor of Architecture and Civil and Environmental Engineering at the University of Southern California, but the title he claims is far simpler than his multi-disciplinary research aims.

The son of an engineer and a computer scientist, Gerber has called many countries (and at one point, a sailboat) home, and his work today reflects that blend of technological interests and global perspectives. A design architect by training, Gerber has worked for some of the world’s most innovative architecture and technology firms, including Gehry Technologies and Zaha Hadid Architects.

Since then he has served as professor, lecturer, author, and founder of several technology startups, but his work revolves around one theme: the intersection of architecture, design with computation, and technology.

Tweet: Building a Storied Career Around Easing #Design Complexity @Dassault3DS #BIM #AEC http://ctt.ec/1Tf11+Click to tweet: “Building a Storied Career
Around Easing #Design Complexity”

Finding A Better Way

It was during his time with Zaha Hadid Architects more than 14 years ago that Gerber says he discovered the lesson that would set his career trajectory.

That path, as he describes it, has been “to develop parametric skillsets, technologies, and knowledge to better equip designers to handle real-world complexity, while maintaining the highest level of quality in design possible.”

Gerber had won the title of project architect and manager for a massive new project: the One North master plan in Singapore. The design called for a 30-year master plan for a city of 200,000 people, with 5 million square meters of gross floor area over 200 hectares of land.

At that time, parametric design wasn’t a term ever heard in architecture, but the connection of information it allows was greatly needed by such a complex project.

“There weren’t any tools for me to appropriately manage my responsibilities, which was to link the data to my geometry while my geometry was changing on an hourly basis,” Gerber recalls. “And the data sets were enormous.”

Ultimately, Gerber developed a program that linked this information. However, he left the project thinking, “There has got to be a better way to enable good design, while not losing the bidirectional impact from geometry to data, and data to geometry.”

Exploring Parametrics

The Singapore master plan was a project with a painful lesson, learned under a tight schedule and cost constraints, among other challenges. Yet Gerber knew the tool he had commissioned while working on the project—what he calls the first parametric urbanism tool—was a first step toward smarter design.

 From Zaha Hadid Architects, Gerber went on to Harvard’s Graduate School of Design to pursue his doctorate. It was in a class taught by his advisor that Gerber discovered CATIA®.

It was among the first classes in which architects were instructed on CATIA, and it was eye-opening for Gerber to realize that there already existed technologies in engineering disciplines that he and his colleagues had tried to duplicate in the architectural setting.

“This became the 4-year trajectory of my PhD studies, in which I wrote one of the first PhDs in architecture on parametric design,” Gerber says.

His early experience in CATIA, through classes and work at MIT’s Media Lab where he was appointed as a research fellow, became an asset that helped Gerber earn an internship at Gehry Technologies, where he was able to further develop this knowledge for architecture.

Since then, through lectures, teaching and publications, Gerber has set out to help others realize the “better way” of delivering highly complex projects.

Removing Uncertainty

Gerber believes that parametric design tools and the shift to 3D design have become so valuable to designers because they help address the problem of uncertainty that is characteristic of design.

“As designers, we have a huge amount of responsibility because our visions carry with them 100- to 200-year lifespans and life cycle costs,” Gerber says.

Tweet: Our #AEC visions carry 100- to 200-year lifespans and life cycle costs @Dassault3DS #BIM http://ctt.ec/dawBd+Click to tweet: “Our #AEC visions carry
100-to 200-year lifespans and life cycle costs”

Given this duration, he sees design as inherent with enormous uncertainty. As a result, Gerber says, “It’s our duty to enhance the design process, and therefore the design product, with more and more intelligence.”

Parametric and generative design systems are one key for linking otherwise fragmented expertise in the AEC industry and applying it to accurately achieve the complex aims of today’s projects.

Parametric design mode, image courtesy of David Gerber

Image courtesy of David Gerber

Of course, there is room for more innovation in this new approach toward integrating project expertise. Gerber describes his world today as being about solving the problems that lie at the intersection of architecture, engineering and construction through an emphasis on the humanistic expression of design and integrating the innovations in the computer science field.

“My ultimate aim is to provide higher fidelity information, and capture higher fidelity knowledge to better equip the architect and designer,” Gerber says.

3DEXPERIENCE Forum 2014

David Gerber is a featured speaker along with Becher Neme and Kerenza Harris at the upcoming 3DEXPERIENCE Forum in Las Vegas, November 11-12, 2014.

Dr. Gerber will present the evolution of CATIA-based teaching, consulting, and research through the lens of 12 years of experience. The talk will highlight the importance of bottom-up and top-down educational and research strategies, and will link to the needs of AEC industry challenges.


Related Resources

Learn more about David Gerber’s work

Learn more about Façade Design for Fabrication

Register for the 3DEXPERIENCE Forum Las Vegas, November 11-12, 2014

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Design Review in a Multi-CAD Data Management Environment

By Ron

ConversationDesign Review in a Multi-CAD Data Management Environment, a conversation with:

  • David Segal: ENOVIA User Experience Director
  • Ron Close: ENOVIA Marketing Director

 

 

 

Ron Close, Dassault Systèmes’ ENOVIA Marketing Director

Ron Close, Dassault Systèmes’ ENOVIA Marketing Director

Ron: David, thanks for joining us for this conversation. We’ve been talking a lot recently about the ENOVIA Multi-CAD Data Management Experience and it’s great to have the subject matter expert with us. For this conversation, we’d like to talk about how companies can optimize their Design Review processes in a Multi-CAD environment. Could I first ask you to describe the basics of how ENOVIA tackles this problem?

David: Thanks Ron. This is indeed a very important topic for our customers. As you know, many customers work in a mixed CAD environment but still need to bring the data together for intra-departmental reviews as well as reviews with constituents outside of the company, such as suppliers and OEM clients.   Managing digital mock-up (DMU) in Multi-CAD environments has been always an important process to improve design quality and efficiency. ENOVIA is able to bring Multi-CAD designs together by automatically generating lightweight versions of the CAD files and assembling them in what we call a ‘3D hybrid digital mock-up’. Once the visualization data is created, ENOVIA users can enjoy the benefits of the 3DEXPERIENCE Data Driven Architecture which delivers critical functionality to perform instant design reviews, resolve interferences and clashes.

Ron: I understand that is how we bring the data together. Do we have to manually regenerate the visualization data each time the CAD data is updated?

David Segal, ENOVIA User Experience Director

David Segal, ENOVIA User Experience Director

David: No, with the immersive data management provided by ENOVIA, the changes made in the native CAD system are automatically propagated not only to the visualization data, but for the Bill of Materials and other meta-data elements as well. In fact, designers or a group of designers, could set up rules for automatic generation and updates of lightweight designs and be in constant control of when, how and what data will be generated.

Ron: Besides the visualization data, can you shed some light on other data elements that are managed in this environment?

David: Information about material, tolerances and annotations, product and manufacturing information can be captured for further digital mock-up analysis. In addition, information such as version, owner and data last changed are always accessible from ENOVIA. This makes it easier than ever to maximize the value of your IP – even when it comes from different CAD authoring systems.

Ron: Very cool. You mentioned that when the CAD data is modified, the changes propagate ‘automatically’. How is that accomplished? Surely the designer must interact with ENOVIA to communicate his changes?

David: I’m glad you asked. Actually, the immersive environment from Dassault Systemes places ENOVIA functionality within the CAD authoring application’s user interface. The designer doesn’t need to leave his work environment and switch to another window – all design data management functions are available from within the CAD user interface. So the simple act of saving a part through this interface enables the changes to propagate automatically. Moreover, ENOVIA ensures your data integrity and prevents any chance for design inconsistency through this automatic propagation. This is especially important for concurrent design with multiple players.   I just happened to have a screen shot with me to illustrate this point:

CAD Authoring Application Interface

CAD Authoring Application Interface

 Ron: Thanks David, that’s very clear now. As a final question, can you summarize the value of having this 3D hybrid design review available for Multi-CAD clients?

David: In short, this is all about improving design quality, efficiency and development cycle through truly innovative process of a design’s precise visual convergence. This is what makes it a Multi-CAD Data Management Experience.

There are three key values that I would like to leave you with regarding this innovative process:

  1. Efficiency: Extend the value of intellectual property: Leverage existing design data for full blown mock-ups for review and analysis.
  2. Quality: Reduce the occurrence of duplicate designs across multiple CAD systems: Ttoo often, companies spend time designing parts which may already exist somewhere else. Having all of the Multi-CAD data at your fingertips minimizes this risk.
  3. Optimize access to intellectual property: Managing all of your Multi-CAD design data in one environment minimizes the risk of unauthorized access and maximizes design integrity. Keeping your IP safe, secure, accessible and valid for current use is one of the fundamental values of deploying the ENOVIA solution.

Ron: David, thank you very much for your time.

View our webinar for more information on how Dassault Systèmes can help you with your Multi-CAD Data Management challenge.

 


Related Posts: “Stop Using Digital Duct Tape for Multi-CAD Data Management” and “Three Common Myths of Multi-CAD Data Management




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