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?

What I learned this week …came from an article in The New York Times by Alex Wright. The article, Mining the Web for Feelings not Facts, was a great look into a concept that is new to me, an emerging field called “sentiment analysis.” The article defines sentiment analysis as “translating the vagaries of human emotion into hard data.” The examples show companies using data analysis techniques to gain insight into what social media (such as social networks and blogs) are saying about their company. My thoughts immediately turned to the value this information would have to product developers to understand how customers feel about their products, and what a great tool this could be in the social computing toolkit for PLM.

Sentiment Analysis

I won’t repeat all of the fascinating things the article says, and instead recommend you take a few minutes to read it. It is very interesting, and an exciting new concept. Here are some of the key points from my perspective:

• Sentiment analysis opens a “window into the collective consciousness of Internet users”
• Opinions are a kind of “virtual currency“
• Social media offers a “rich vein of market intelligence“

The article points out that this is a new, imperfect science and mentions some interesting pioneers of the concept. It also introduces a new book which is on my “to read” list titled Opinion Mining and Sentiment Analysis by Bo Pang and Lillian Lee.

My Thoughts  – Sentiment Analysis in PLM

So how can this social computing approach be used to develop more profitable products? If we can gather feedback on products, product ideas and competitive offerings rapidly it gives us the opportunity to react early to – or ahead of -  a trend. Many manufacturers are starting to monitor social networking sites like Twitter to see what people are saying, but for the most part it is manual except for filtering on keywords. Currently, the review and analysis depends on people. This is not a sustainable approach for product managers and product marketers to sift through mountains of comments, at least in my opinion. But if social computing techniques can detect and alert them to potential changes in market opinion that they should pay attention to, that could provide the input needed to help steer product development (or at least product marketing, if changing the product quickly is not an option).

Product managers are already overwhelmed with input, and the Internet is creating even more every day. The information is valuable, but takes time to review and interpret. If computing algorithms can help decipher and summarize, then product developers can focus on the important trends as opposed to sifting through the haystack to find them.

Implications for Manufacturers

This is just one more example of how companies are trying to leverage social computing to improve their product innovation, product development, and engineering performance. There is clearly something going on here, something that offers significant advantages to the manufacturers that can figure it out and use social computing to their benefit. This example is part of what I call “social discovery,” which is a more advanced concept than more straight-forward uses of social computing in PLM such as enhancing collaboration. For more thoughts on social computing in PLM, you can click on the “social computing” tag on the ClarityonPLM site, or start with these thoughts on social product development and social computing in PLM.

So can we mine the web for emotions and use that market intelligence to drive product development? I think there is some real potential, among other opportunities that social computing and social networking are opening up. I hope you found it interesting. Who knew? I didn’t, if you did let us know about it.

Note: No, the picture has absolutely nothing to do with mining social networks, but I Googled “mind reading machines” and this is what came up. It made me smile, so I thought I would share it with you.

I had a chance to talk with… Hardeep Gulati at Oracle about the recent Agile PLM 9.3 product release. Product analytics has been, and still is for the most part, a gap in the PLM market.  So considering Oracle’s acquisitions of Hyperion and Agile in recent years, it’s not a surprise that the Oracle 9.3 PLM release is focused squarely on this area. The challenge is making this product intelligence consumable to each of the different roles along the value chain – engineering and design, manufacturing and supply chain, marketing and sales. Make the information easy to access and relevant, or you’ll have a nice analytics tool that no one uses. Oracle realizes this and has also focused the release on enhancing an already good (based on conversations over the past year with Agile users) user experience by adding “productivity tools” – for example drag and drop, inline editing, and more personalization. The company will focus their next release on leveraging their portal technology for a common user interface – a critical component of their strategy.

What do they offer?
More specifically, the product lifecycle analytics solution Oracle is offering is focused on risk management - i.e. product quality, obsolete parts, supplier’s financial liability, new sourcing options, design process, demand volatility, and where exposure is in a product portfolio. Future focus will be on deeper customer analytics during the front end of innovation, and manufacturing intelligence.

In addition to analytics, Oracle has focused on integration. We’ve heard about AIA (Application Integration Architecture) as the platform for weaving together the numerous assets Oracle has acquired, including Agile. This “backbone” (or, FUSION middleware) is an open platform that can integrate the heterogeneous environments (other PDMs, best of breeds) that are so prevalent in product development. Oracle even offers a “PIP” (process integration pack) for integrating Agile to SAP. With the 9.3 backbone you can create product development-specific services (e.g. product cost management), and have scripting available to support integration to components and segments of the product lifecycle.

How Does it Fit into the Ecosystem?
With the lack of rich product analytics in the PLM world, this is a welcome announcement. If you are looking for better product performance intelligence at all stages of the product lifecycle, Oracle’s new release warrants a look. This announcement should accelerate competitive efforts in this arena – IBM with Cognos (and it’s recently announced closer partnership with Siemens PLM), Siemens PLM, PTC, and SAP (who is working to integrate the acquired Business Objects capabilities into its product intelligence platform). I expect the next 12 months to bring rapid improvement from these and other PLM vendors, from better product portfolio analysis to product, manufacturing and supply chain analytics.

So that’s what I hear from Oracle. What do you think? What else should I have asked them?

Updated Post:

PLM evolution gets a fourth formal dimension – process. I am updating this post about a year after I wrote it. I just re-read it, and thought it was worth making at least one minor adjustment. Since that time, I realized that the “three dimensions” of expansion did not give enough emphasis on the importance of business processes. I have changed the way I present this to the “Four Dimensions of PLM Expansion.”

I thought it was worth updating this past post with (at a minimum) the graphic as I present it now. Looking back, it clearly should have been this way in the first place!

What I learned this week … came from reflecting on three major PLM product announcements this week. In one week, Dassault is announcing the new release of their “PLM 2.0″ suite, Oracle is announcing the next release of Agile PLM, and Siemens PLM is announcing the new releases of Teamcenter and Tecnomatix. Jeff Hojlo and I will be covering each of the releases in our blog, but I thought it made sense to start with some context-setting across all three. I am impressed with the amount of investment that PLM vendors have made in their products in what has been a difficult year for enterprise software in general, kudos to all three (and the others that have continued to invest in this solution set that continues to grow in importance).

Note: A special thanks to all of my friends in the vendor community for picking my vacation week at the beach to come out with some of the most exciting PLM news in some time! They couldn’t have just checked with me first (sarcasm intended).

Context from Past Discussions and Perspective

I have talked in the past about PLM expanding in three directions:

• People – Product development and product innovation are expanding across the enterprise to more people inside and outside of the business
• Product – A “product” consists of much more than R&D or engineering specifications, and needs to include a richer view that includes commercial considerations so we are looking at the “whole product.” In addition, the technical view needs to grow to include mechanics, electronics, and embedded software
• Lifecycle – Product-related processes are being integrated across previously disparate functions

As I talk about these three, I have to give an honorable mention to:

• Process – PLM processes are being expanded and integrated across all three of these directions, and it this extension and integration of processes and information that really puts the value into PLM. Without process, the other three are not possible.

Giant Leaps in Functional Scope

First, I want to start with the functional enhancements that the vendors have focused on. In the releases, I see significant investment in all three areas above. But it’s easy to talk about where your predictions come true. Instead of focusing on what I got right (not my style), let’s focus on what I missed. I missed:

• SOA – From a technical perspective, the adoption of service-oriented architecture (SOA) promises to make PLM more web-friendly, but also to allow it to be more easily pulled apart so individual elements can be incorporated into composite “mash up” processes and applications.
• Analytics -I am not going to be big enough to admit that I didn’t see this one coming. I have lived through ERP and Supply Chain and seen the transition from gathering information to leveraging it to make decisions. This is happening in PLM in a number of different areas, including designing for compliance, cost, etc. It is exceeding my expectations in terms of adoption by the vendors.
• Web 2.0 – The impact of Web 2.0 technologies and concepts are having a very big impact on PLM. The further expansion of collaboration and social computing in product development is starting to be seen. PTC also focused on this during their recent PROuser event and their earlier release of ProductPoint.

Implications for Manufacturers?
So what does this mean for manufacturers today? If you are a customer of one of the three vendors, you have some very nice functionality (and technology) to look forward to. It is time to start looking at the potential to improve your business and plan your migration. Vendors have spaced out releases in recent years, so hopefully you are due. It is time to start learning about the capabilities available, deciding how to take business advantage of them, and planning for their adoption.

If you are not a customer of one of these three vendors, take a look at your vendor to see how they are doing against the criteria above. I have seen some nice progress from PTC and SAP this year as well.

If you are not using PLM, it is time to consider why not. I believe there are very few manufacturers that will remain competitive without these capabilities. Further, this is just more proof that PLM is continuing on the path to become one of the most important – if not the most important – enterprise applications for manufacturers. The continued evolution of the solutions is just further evidence of the additional value that customers are demanding from their vendor partners.

So that is what I learned this week, I hope you found it interesting. Let me know what you think. Look for more on each relevant release shortly. After all, the sun is bad for your skin and PLM is good for everybody!