Clarity on PLM

I  had the chance to talk with … the Siemens PLM team earlier this week at their PLM Connection user’s conference. There are more announcements than I can cover here in one post, so I will concentrate on one major announcement – HD-PLM (High Definition PLM). Siemens is making a significant investment in modernizing the PLM experience with HD PLM. How will it help manufacturers get more from their PLM investment? And from a users’ perspective, can it give the PLM experience a boost to help this valuable corporate tool become a little more fun to work with?

The Announcement

To start, HD-PLM is more than just user experience. It is a new technology framework designed to unify the PLM experience across all of Siemens PLM’s products. In fact, it is planned to be the common client for all solutions. The interface is ( dare I say) cool, and looks like something anyone would be happy to work with. Think Web 2.0 meets PLM. Some examples:

• Highly graphical interface and navigation paradigm – let’s face it, this is how engineers and product developer think
• Cover flow – think iTunes-like interface to browse products)
• Role-based workspace
• Knowledge drill-down – think embedded visual reporting and business intelligence (BI)
• Proactive alerts

Bust Siemens is not just focusing on user experience. “High Definition” means more than what you see. They are are also investing heavily in a more rich definition (and validation) of products, particularly around systems engineering and mechatronics. Siemens will be making a lot more of the vast information in their systems available in an easily accessible, visual way. This is no small project for Siemens, and will provide significant value to Siemens PLM customers.

Implications for Manufacturers

What does this mean to manufacturers? To keep this short and simple:

• PLM will get more fun (and cool)
• Siemens PLM customers can feel comfortable that Siemens is still investing significantly in the future, and will enjoy the benefits of that investment over time as the new technology is released in upgrades of the products they already own
• Non-Siemens customers will have another reason to look at Siemens PLM products

So that’s what I hear from Siemens PLM, I hope you found it useful. What do you think? What else should I have asked them? I expect to hear a lot more about this in the future, I look forward to sharing it here.

I had the chance to talk with … Siemens PLM a couple of times in response to my post on Quality Lifecycle Management titled Expanding PLM’s Pervue – Quality and Risk Management. While I mentioned that some of the major PLM vendors had developed solutions for quality management, I did not mention Siemens PLM. The reason for not mentioning them, I explained, is that I didn’t know about their solution! I since had a good conversation with the Siemens team about their offering. It is interesting, takes a bit of a unique approach, and I think it is worth talking about. So here it is!

What do they Offer?

What I find unique about the Siemens Dimensional Planning and Validation (DPV) solution is that it does not replicate what standalone Quality Risk Management (QRM) and Quality Lifecycle Management vendors offer. It is a relatively unique approach, which also makes it a complementary solution.  One of the main things things that manufacturers can do to improve quality is to “close the loop” on quality by feeding actual results back into the manufacturing and design processes to improve quality. That is what the Siemens solution does.

Providing feedback on quality to upstream functions  is one of those concepts that is obvious to most people, few will disagree with, but most companies don’t do. Why? It is hard to cross organizational boundaries and get people to work together. Frequently, Engineering and Manufacturing don’t have access to information (or at least information that they trust.) Sometimes, as I am sure some will point out, they just don’t listen. What I like about the Siemens solution is that the feedback is quantitative and based on actuals. In fact, what the solution does is take actual dimension product measurements (typically from automated testing equipment) from the shop floor and provide feedback upstream.

By tracking actual dimensional results by plant, production run, and other manufacturing parameters the solution offers the ability to analyze performance over time and look for improvement opportunities. One of the key elements that makes this beneficial is the analytical engine behind it, similar to other trends to use business intelligence (BI) in PLM. Another nice feature is that the results become a part of the PLM data model, and can even be shown against the 3D model. The goal is to provide feedback to Engineers so they can adjust designs, features, tolerances, and inspection points to improve quality by design. In short, they are closing the loop.

Siemens explained the value in simple terms, which I will use as the last words for this section. I think these words some sum up the difference in their solution, because it is based on actual results, uses analytics and allerts to provide the right information to Engineers, and puts the results into the product/PLM context to be shared broadly across the enterprise. In their words, the solution helps manufacturers:

“Find it quicker, fix it faster, share the knowledge“

Who do they Work with?

This solution is primarily intended for discrete manufacturers with dimensionally based parts. The early development customer that Siemens worked with is in the automotive industry, where quality is critical and production volumes are high enough to make this feedback useful. Other similar industries can benefit from this as well.

So that’s what I hear from Siemens PLM, I hope you found it useful. What do you think? What else should I have asked them?

A quick peek into some research on … the use of business intelligence in PLM provides insight on taking advantage of the tremendous amount of product data  accumulating in today’s PLM systems. The research discusses how the maturation of manufacturers’ PLM implementations has created a tremendous volume of untapped information that can be leveraged to improve product innovation, product development, and engineering performance. As it has in previous enterprise applications (ERP, CRM, SCM, others), the time has come for manufacturers to tap into their growing information goldmines through the use of business intelligence (BI) tools.

The Research Findings

The research points out two parallel trends in PLM implementations today:

• Manufacturers have moved forward along the PLM implementation maturity curve – meaning they now have stable implementations and clean data
• PLM has evolved and expanded to incorporate more valuable, business-focused data in addition to technical information – meaning the data to be mined covers a broader spectrum of the product lifecycle, including cost, projects, sourcing, service, and more in addition to purely technical engineering data

The result of these two trends is that there is now a lot more usable business data in PLM. The report points out a number of areas of value that can be mined from the data, including savings on new product development timelines, closing the loop from service to engineering, improving product quality, analyzing sourcing, and reducing cost. In short, it shows that value can be extracted by improving pretty much any part of the product innovation, product development, and engineering processes. Please read the report for more details and examples.

Implications for Manufacturers

The message for manufacturers is that “there is gold in them hills” …. errrrrr, in those databases. The research also points out some special considerations for business intelligence in a PLM environment. For most manufacturers, applying a BI tool is not the difficult part. In fact, they probably have (at least) one tool available in their IT toolkit. But before diving in from a technical perspective, manufacturers need to be very careful to consider security, IP protection, and regulatory requirements that surround this very sensitive data. Manufacturers should also look for ways to leverage PLM vendor offerings or partnerships that give them a ready-made view into the PLM data and security model, to avoid spending time recreating the wheel and potentially making mistakes that provide misleading “facts” that people will trust. As the report says, “Developing an effective BI in PLM strategy also requires knowledge of the engineering and product development domains and the specific software applications being mined.”

So that was a quick peek into some recent research on the maturation of PLM implementations and the opportunity it provides for data mining in PLM, I hope you found it interesting. Does the research reflect your experiences? Do you see it differently? Let us know what it looks like from your perspective.

Please feel free to review more free research and white papers about PLM and other enterprise software for manufacturers from Tech-Clarity.

What I learned this week … came from watching the Did You Know 3.0 Video and asking myself what it means to the world of manufacturing and product lifecycle management (PLM). The answer? Quite a lot. If you haven’t seen the video, it is worth 5 minutes of your time to give you an entertaining and informative look into the times we live in. The part that really caught me was that we live in “exponential times.” Things are changing rapidly in our personal and professional lives, and manufacturers need to consider the ways the world is changing in order to be relevant with the right products (and the right processes) to capitalize on the future.

Note: Thanks to Randall Newton at CADCAMNet for posting the link. I have seen this before, but his post was what made me really think about it.

Did You Know?

The video, if you haven’t seen it before, tries to put the world in perspective through facts and pictograms. I have seen these before, and they are always thought-provoking.  According to the source, this was put together by Karl Fisch and modified by Scott McLeod. Some of the key takeaways for me are:

• MySpace has 200 million subscribers, if it were a country it would be 5th largest in the world
• A week’s worth of the New York Times holds as much information as an average person would come across in a lifetime in the 18th century
• The amount of technical information doubles every two years
• The number of text messages sent/received in a day exceeds the population of the planet
• The time it took for a product/technology to reach a market audience of 50 million:
  • Radio – 38 years
  • Television – 13 years
  • iPod – 3 years
  • FaceBook – 2 years

Further, there are some fascinating facts about the increased capabilities of computing technologies.

What Does it All Mean (for Manufacturing and PLM)?

The video ends with a question – “What Does it All Mean?” – without providing an answer. The answer, of course, depends on who you are and how the changes impact your world.  When I watched this, I tried to take the perspective of what impacts this will have on product innovation, product development, engineering, and manufacturing. Further, I tried to consider how this will impact the software solutions that help support product lifecycle management. There are challenges and opportunities on the way. Here are my thoughts:

• Social networking is exploding – this offers a tremendous benefit for manufacturers that want to use social computing in PLM to improve collaboration and dramatically change the way they interact with their markets and customers.
• Knowledge is exploding – manufacturers have a tremendous challenge to manage their own information and intellectual property, let alone be able to access and leverage the information available across the globe. Search, Knowledge Management (KM), and Business Intelligence (BI) will become bigger requirements inside PLM and to drive product innovation by tapping into global knowledge sources. Social computing will also play a role here, as manufacturers try to discover the people with the right knowledge in addition to knowledge.
• Time to market is evaporating – the time lag between a technical advance and the commercialization is disappearing. This makes new product development (NPD) critical, but also further supports the need to rapidly discover and take advantage of knowledge anywhere in the world. It also means that manufacturers will have to get their products right the first time, or someone else will take the market away from them.
• Computing power is exploding – the exponential growth of computing power will play a large role in what PLM vendors are able to do with their software, opening up new opportunities including continued expansion of 3D, animation, and simulation in the way we interact with products.

So that is some insight on the times we live in and my thoughts on the implications for manufacturing and PLM, I hope you found it interesting. Who knew? I didn’t. And I am sure I missed something, feel free to add. And for those that watched the video, please pass along any ideas on how to get that music out of my head!

Please feel free to review related perspectives, free research and white papers about PLM and other enterprise software for manufacturers from Tech-Clarity.