Do We Need a Delete Button in PLM?

May 14, 2013

Delete is a special function. In the system dealing with the live data, the meaning of delete is interesting. My first lesson about <delete> function in PDM was 25 years ago. In one of very first data management systems I implemented we used a special flag to mark deleted parts. Later on, I was discussing delete functionality with engineering managers of one of the firms. Think about parts used in production. How you can delete them? They can be not effective for usage, out of stock, discontinued, etc. However, you cannot literally delete them. Back 20 years ago the technology was different. We marked parts and revisions as "obsolete", but we didn’t keep them forever.

Yesterday, in the airport, the following CNET article caught my attention – Google’s Schmidt: The Internet needs a delete button. Schmidt is discussing the nature of internet to absorb data and information that cannot be deleted. Here is an interesting passage:

Actions someone takes when young can haunt the person forever, Schmidt said, because the information will always be on the Internet. He used the example of a young person who committed a crime that could be expunged from his record when he’s an adult. But information about that crime could remain online, preventing the person from finding a job. "In America, there’s a sense of fairness that’s culturally true for all of us," Schmidt said. "The lack of a delete button on the Internet is a significant issue. There is a time when erasure is a right thing."

Well, privacy has a different angle, of course. People are not Part Numbers. However, think about technology behind the internet these days. Think about Gmail. You can be doing email forever without deleting them. I’ve heard some rumors first version of Gmail had no delete functionality. Storage is cheap these days. You literally can keep all information created by design, engineering, manufacturing all the time without deleting this information. Isn’t it fascinating. It can change the way people design and manufacturing things.

What is my conclusion? Delete is a very specially functionality when it comes to systems dealing with a lifecycle. Internet is very much change our horizons in understanding what potentially can include a "total lifeycle" management. It also change a perspective of how to manage lifecycle for a particular eco-system such as PLM. The increasing lifespan covered by PLM systems can improve decision making and provide additional insight in the areas of product development, quality management and others. Just my thoughts…

Best, Oleg


“PLM journey” and thoughts about technology

April 3, 2013

PLM implementations are complex. How many times have you heard about that? I think a lot. Last 15-20 years of PDM/PLM business demonstrated that PLM and ease of implementations are not coming together. If, in addition to that, you ask for low cost, people might be thinking you are joking. I’ve been sharing my thoughts about PLM implementations and improvement of PLM adoptions earlier. The core problem that exists in PDM/PLM is complexity. Navigate to my old blog – Complexity Kills or Three Ways to Improve PLM Adoption to read more. In addition to that, I outlined 3 main factors impacting fast PLM adoption – massive customization, legacy data and integration with ERP. Read more here - 3 main factors of mainstream PLM adoption. PLM implementations are big, expensive and take long time. I called it "big mono-PLM projects". Customers are implementing PLM products that become legacy faster than an implementation ends. The investment made into this system deployment keeps them with old technologies and products and preventing customers from moving forward. Read the following article – PLM Implementation Lifecycle Challenges to get more confirmations and data points.

One of the opinions about PLM implementations is related to so-called "PLM business transformation". My blogging buddy Jos Voskuil refered it as "PLM journey" in his co-named blog post PLM is a journey. According to Jos, PLM requires significant effort including promoting PLM values to the minds of management in companies. Here is the passage, which explains it -

You would assume that the value PLM brings would make it a no-brainer. However for successful implementing PLM there is no standard approach (and definition). Often people believe PLM as an IT-solution. And the common sense is that you buy an IT-solution, you implement it and continue working in a better mode. That’s where the implementation fails as PLM is different. So let’s start our journey

Another aspect mentioned by Jos is related to the role of IT in PLM implementation. Because PLM, according to Jos, is a business transformation, IT cannot successfully manage this project. At the same time, it is hard to get people from specific functional units to be focused on the overall product development process improvements. This is how Jos explains that -

But when it comes to implementation, there is usually only one cross-disciplines unit that can accomplish this assignment: the IT-department. And here is the crucial mistake discovered time after time where PLM implementations fail. PLM is a business transformation, not an IT-system implementation. Business should lead this transformation, but it is very rare you find the right people that have the full overview, skills and availability to implement this transformation across departments. People from the business side will be primarily focused on their (small) part of the full process, leaving at the end the project to be done to IT.

PLM technological challenges

I would like to provide an alternative view on why PLM adoption is slow. It is a technological fault. The technology to solve complicated multi-domain data management problems and cross functional process improvements are not good enough and not ready to mainstream deployments. It requires extra effort and extra understanding how to deploy it successfully. Implementation take long time and, automatically, making technology outdated. Significant investment made by companies in long lifecycle technological products is not allowing to make agile improvements going up to speed with technological changes.

Most of PDM/PLM technologies and products these days were developed 10-15 years ago and it is not reflecting modern state of development coming out of new platforms, web, open source technologies, cloud and many others. It reminded me the initial phase of tablet computer development. Do you remember the early tablet computers? Refresh your memories by navigating to the following wikipedia link. I think some of your might remember this clunky device which require some extra effort to operate as a table and even touch using specially supplied pen interface.

It took time, effort and technological shift to deliver a modern generation of tablet computer – iPad. The spec of iPad was significantly different from early tablet laptop combos. The discussion about iPad limitation back almost 3 years ago reminds me some conversation about modern PLM technologies.

What is my conclusion? The realities of PLM implementations today are high cost, extensive need of services and expensive implementation. Which can be solved by hiring an army of consulting people to take a company through the "PLM transformation" period. That would be a "PLM journey" as we know it now. A potential alternative it to bring new level of technology that will provide new user experience, device independence as well as plug-n-play technology that eliminate needs to people to be involved into long implementations . Do you think it is a dream? I don’t think so… just my thoughts.

Best, Oleg


PLM Scale and Some Internet Factoids

December 22, 2012

The scalability of enterprise systems is an interesting topic. Enterprise IT usually keeps the story about scalability of systems close to their chest. It involves data centers, databases, channels, networks, latency, and many other aspects that allows you to tune your enterprise PLM. And I know, it was absolutely true for existing enterprise PDM and PLM.

The situation is different nowadays. Last 10 years of web development and internet established a new level of scale. The amount of data and user activities web and social networks can handle is going much beyond typical enterprise deployments. The following AronoldIT factoid article captured my attention earlier this week. I don’t know if these numbers are accurate. But knowing that Gangnam style fist video just hit 1B Youtube views, I can easy believe that.

Every minute more than 1,649,305 tweets get shared.
Every minute more than 3,472,225 photos get added to Facebook.
Every minute more than 2,060 brand new blogs are created.
Every minute more than 52,488 minutes of video are added to YouTube.
Every minute more than 31,510 new articles are created by an online newspaper.
Every minute more than 3,645,833,340 new spam emails are delivered online.

What is my conclusion? The consumer web and social media introduced a completely different perspective of scale, capacity and system performance. Enterprise PLM vendors and IT service companies need to start paying attention. The technological gap consumer systems are developing these days can easy outperform existing enterprise PDM and PLM deployments. Important. Just my thoughts…

Best, Oleg

Image courtesy of [ddpavumba] / FreeDigitalPhotos.net


What PLM vendors need to know about noSQL databases?

December 14, 2012

Relational databases is a very mature set of technologies. We use RDBM (Relational databases) practically everywhere these days. It is hard to imagine enterprise software and PDM/PLM systems these days without relational databases. At the same time, the new class of database management solution is coming. It called NoSQL (Not Only SQL). I posted about noSQL few times. You can refresh your memory by navigating to the following link. First time this term came in use back in 1998 as "noREL" databases. Later in 2009, the term noSQL was proposed for "to label the emergence of a growing number of non-relational, distributed data stores that often did not attempt to provide atomicity, consistency, isolation and durability guarantees that are key attributes of classic relational database systems". NoSQL database solutions are widely used today in web and mobile applications. I can see a growing number of noSQL database usage in business intelligence and master data management applications.

NoSQL is not a single database. This is a name for a broad set of data management or database technologies focusing outside of RDBMS world. The technologies and terminologies behind this term is new. PDM/PLM vendors ignored noSQL database management solutions until very recently. It made me think to provide a quick summary of what stands behind this broad term and what PDM/PLM uses cases it can support.

Key-value (KV) databases

KV stores is a simplest database model in noSQL world. It stores "keys" and associated "value". Basically your database is a storage of pairs of key-value. Some databases support more complex structure behind values such as complex values (list, hash), but it is not required. One of interesting PDM/PLM use cases is to store list of files as a key-value database. In such a case, file name is a key (including full path) and value is actually the content of the file. Examples of KV stores are Riak and Redis.

Colum-oriented databases

This type of database is very close to RDBMS. The main difference is that columnar data model designed to keep data from every column in the table together. It is an opposite solution to RDBMS, which keeps the data for a specific row together. It allows to add a column to a table in a very "inexpensive" way. Each row may have a different set of columns. This type of databases are good for reporting and business intelligence solutions. Columnar data model impacted few PDM/PLM core modeler development available today at the market, by providing a higher level of flexibility in data modeling. Example of column-oriented databases is HBase.

Document-oriented database

Document databases are managing data in a form of documents. Documents can be different and have different structure. The last thing makes document oriented databases very flexible. Some implementations of document oriented databases such as MongoDB provides you an ability to run query against the document structures as well as do mapreduce computations as well. Depends on the need you can consider different DO-databases. Examples of these databases are – MongoDB and CouchDB. You can consider document database in PDM/PLM in two cases – the need for high-performance scalable document store and free form data modeling.

Graph-databases and triple stores

Graph data model is dealing with highly interconnected data. It contains nodes and relationships between nodes. Both nodes and relationships can have properties (key-value pairs). This data model becomes really important when you are traversing through the nodes with a specific relationships. There are many situations in PDM/PLM applications when we need to traverse data efficiently. Graph database (and predecessors – object databases) has a great potential to bring a value here. The example of graph databases is Neo4j. Also, a specific case of graph databases is so-called triplestores managing information using triples (subject-predicate-object). Examples of triple stores are OWLIM and AllegroGraph. Also triple stores are supported by Oracle and IBM DB2

CAP Theorem and why PLM systems need to use more than one database?

In computer science CAP theorem states that it is impossible for a distributed computer system to simultaneously provide all there guarantee Consistency (all nodes see the same data at the same time), Availability (a guarantee that every request receives a response about whether it was successful or failed) and Partition tolerance (the system continues to operate despite arbitrary message loss or failure of part of the system). Navigate here to read more. It is a question of priorities and a tradeoff between what requirements you need to satisfy in your system. PLM systems are facing significant challenges in a variety of data types, retrieve patterns and data scaling. Usage of different strategies in database management can improve existing solutions.

What is my conclusion? PLM is a multidisciplinary approach. It handles variety of data and connected to many places in the organization. Design, engineering, manufacturing, supply chain, support, services. The specialty of PLM environment is to get connected to all data suppliers and interplay with different sources of data. From that standpoint, data behaves like oil – located in multiple places, but needs to be extracted. You need to use different tools to get it out. Think about different database as a tool-set to process and get access to data in a most efficient way. Just my thoughts…

Best, Oleg


PLM priorities and Gartner IT’s Top 10 Tech Trends for 2013

November 2, 2012

As we move towards the end of the year, we will see more posts with trends’ reviews for 2013. While it is really hard to predict “next big things”, these posts usually provide a good perspective on what is going on. Earlier this week, my attention caught by Gartner’s Top 10 strategic tech for 2013 publication. Navigate to the following link in PC Magazine Forward Thinking publication to review details. You can see the picture with top 10 techs below.

It made me think about some interesting intersections of these trends with the priorities of engineering applications and specifically PLM technologies and systems.

Mobile Technologies and HTML5

The question about what will become a preferable technology for mobile and web browsers will continue to be dominant in PLM development eco-system. The complexity of the systems is high. Therefore, vendors will be slow to adopt every change. I believe vendors will try first to concentrate on the supported versions of browsers. Old browsers are easier to reject. Native mobile apps is something more complicated. Most of consumers prefer native mobile apps and not browsers. Therefore, the improvement of HTML5 technologies can be an advantage for PLM vendors considering mobile options.

Enterprise App Stores

Introducing of cloud and mobile apps is raising a question about the future of application distribution. IT will need a tool(s) to distribute new type of application in organizations. App store is a fascinating idea and the majority of people these days actually “got this”. In my view, the challenge will be to balance between chaotic nature of consumer app stores (Apple, Google) and more structured way enterprise IT wants to distribute application to customers. PLM vendors traditionally survive from a problem how to expand usage of PLM tools in organizations. So, App store can be a good idea to fix it.

Internet of Things

This is very fascinating topic. You might be interested to read one of my earlier blog posts. We have more products (things) that connected to the network and starting to communicate online. How it can be connected to PLM? In my opinion, the connection is in a ‘lifecycle’. Today PLM is heavily involved into design and engineering. Less in manufacturing. However, what about the lifecycle of the products after they’re built in a factory and sold, delivered to actual customers. This is a space we are going to discover in a near future. iPhone controlled bulbs is just a beginning.

Hybrid IT and Cloud computing

Traditionally, companies are working with IT departments to get things done. PLM is not different in that sense. Servers need to be configured, routers connected, software installed and updated. This is how a traditional eco-system looks like. At the same time, cloud is coming, which means no servers, no software, no updates. Even if cloud software will become widely adopted, companies will be running a lot of applications and software on premise for a very long period of time. So, how IT will be re-organized around this environment? How we will consume our “granular PLM apps”?

Strategic Big Data

There are lot of confusion around Big Data topic. Here is the big data definition from Gartner’s report – Cearley continued to define big data as dealing not just with volume, but also with variety, velocity, and the complexity of data an organization is dealing with. He talked about managing both internal and external data, and talked about how technologies such as Hadoop may be a big part, but only a part, of it. Big Data certainly open horizons to get more information about product and improve quality of the products from the standpoint that cannot be achieved now.

What is my conclusion? In my view, enterprise software technologies are going through a significant change now. Many software systems in engineering and manufacturing sector are approaching end of their lifecycle. It is a time for vendors to provide new cost-effective solutions targeting new user experience and different IT eco-system. Cost and user experience is one segment where lots of improvements can be made. Another one is data – customers will be actively looking for additional information about products and customers. Just my thoughts…

Best, Oleg


“PLM for Makers” or How To Support Next Industrial Revolution?

October 12, 2012

I’m sure, you learned about two industrial revolutions back in your school-time. First industrial revolution started in 18th century in Great Britain and second industrial revolution from second half of 19th century and until First World War. You can refresh your memories by reading the materials from wikipedia. I found it quite entertaining. One of the passages about the second industrial revolution and creating of mass manufacturing struck my attention.

The concept of interchangeable parts had been implemented in the early 19th century by inventors including Honor&eacute; Blanc, Henry Maudslay, John Hall, and Simeon North. Interchangeable parts in firearms had been developed by the armories at Springfield and Harper’s Ferry by the mid 19th century and mechanics familiar with armory practiceintroduced the concept to other industries, mainly in New England. The system relied on machine tools, jigs for guiding the tools and fixtures for properly holding the work and gauge blocks for checking the fit of parts. This method eventually became known as the American system of manufacturing.[3] Application of the American system to the sewing machine and reaper industries in the 1880s resulted in substantial increases in productivity.

These days, we are facing the next round of technological disruption. Navigate to TechCrunch article Wired’s Chris Anderson: Today’s ‘Maker Movement’ Is The New Industrial Revolution. If you have 20 min, I recommend you to watch the video. Chris is speaking about next technological disruption and, specifically, the consolidation between the culture of DIYers and digital design and manufacturing technology.

Chris Anderson about next industrial revolution

Chris is talking about intersection of “markers” subculture and technologies like 3D printing, robotics, electronic and many others. However, I found the most important piece related to so-called – democratization of technology. Here is the passage I liked:

“The real revolution here is not in the creation of the technology, but the democratization of the technology. It’s when you basically give it to a huge expanded group of people who come up with new applications, and you harness the ideas and the creativity and the energy of everybody. That’s what really makes a revolution.&hellip;What we’re seeing here with the third industrial revolution is the combination of the two [technology and manufacturing]. It’s the computer meets manufacturing, and it’s at everybody’s desktop.”

Computer meets manufacturing. Actually, I liked it. However, there is something more. It is related to smaller teams of individuals who have more power today than ever before. It is easier to start manufacturing companies. At the same time, it creates specific challenges in technology of data management and collaboration we have never seen before. This is a part, which excites me the most. Thinking about “democratization of PLM technology” similar to what Google Apps did to Office technology. Google apps may didn’t match Microsoft Office on features, but by clear focus on collaboration created a new way to work together.

It made me think about 3 important characteristics of “PLM for Makers”: 1/ Native web and mobile; 2/ Data focused; 3/ Context oriented. Web and mobile will make PLM available for everybody without any preparation. We need to kickstart the environment in minutes from every place. Also, you need to use applications in every place and on every device. Data is a key. You need to be able to pull any piece of information related to the work you are doing to this environment painlessly and transparently. Finally, the data and information can be used in the context of actions and tasks.

What is my conclusion? Things are changing very fast. Think about mobile and web 10 years ago. It was a different world. At the same time, people are still struggling to work together efficiently. It sounds like a bad idea to keep using your “PLM excels” in 2012. I see it as a tremendous opportunity for large companies and small startups to innovate. Here are just few names to mention in this context – Autodesk PLM 360, GrabCAD, Nuage, Sunglass.io and many others. On the other side, companies like Quirky, LocalMotors, Etsy, Kickstarter and others are looking for solutions to develop new products. Just my thoughts…

Best, Oleg


PLM and Information Strategy Focus

October 2, 2012

Nobody is not surprised how important information nowadays. Actually, maybe it is not true. What we usually do was called "data management" – CAD,Engineering Document / Data Management, Product Data Management, Product Lifecycle Management. Data played an important role in this process of "management". However, the biggest confusion was created by the CAD/PLM industry was about losing the point of information importance.

Information in Google Age

I think, we learned lesson or two during the last ten years of Google Age. The ultimate focus of Google was about how to create an information consumption culture. It doesn’t matter where information resides, but it does matter and very important how effectively we can get an access to the information and consume it.

Information and the business impact

The business systems eco system is different. People didn’t pay much attention to the importance of information culture and information awareness. Recently, I can see an increased awareness about the role of information companies. I was reading Forester blog couple of days ago – Focus Your Information Strategy On Business Impact by Gene Leganza. Have a read and make your opinion. However, I found the follow quote very important in the context of what PLM companies are doing these days:

Getting the right information to the right people at the right time.There’s little more frustrating than knowing that somewhere, inaccessible to you, your firm has collected the data that can inform the decision you’re trying to make. Does the loyalty of the customer on the phone warrant waiving your standard policy on returns? Is there a pattern to the process errors you’re experiencing in part of your operation? Is there conflicting information in the forms you’ve collected to comply with regulations before launching an expensive initiative? A well-defined information architecture tells you where that information is, and a well-executed information strategy provides the tools to access it to the staff that needs them, when it needs them.

Companies in PLM eco-systems are focusing more on the information. It is not "a database can do everything" story anymore. There are many examples – Dassault acquired Exalead, TeamCenter released Active Workspace, Autodesk acquired Inforbix technologies. I’m sure we are going to see more examples in the future.

What is my conclusion? Long time we’ve been focusing on data – how to produce it, how to control it, how to change it. However, we missed to importance of how to consume data. To me it means the creation of "information awareness". It is an important shift. I think vendors and customers will need to pay attention to that. Just my thoughts…

Best, Oleg

Image courtesy of [Stuart Miles] / FreeDigitalPhotos.net


Will Social PLM Work Only for Execs?

August 8, 2012

Social. New buzz. You can hear it in many places. After the tremendous success of social networking and web, many companies are trying to apply it in different domains. So, PLM does. I’ve been watching the activity of big companies and small startups in the intersection of social and PLM space – Social Product development by PTC, 3DSwYm Social Innovation by Dassault Systems, VuuchEnterprise Social Software, Nuage Social Business Collaboration – this is only a short list of products and companies chasing PLM social horizons.

Jim Brown, well-known industry analyst and my PLM blogging buddy, raised the question on twitter – Is Social Computing in Product Development Still Growing? You can navigate to the following link to read what is Jim’s opinion about the “social” topic.
 

Jim is running a survey on social product innovation and product development here. I recommend you to read blog and article written by Jim about social computing in product development. My favorite passage from Jim’s blog post is this:

My (Jim Brown) Belief. I am on the record saying I believe the use of social computing techniques in product development is inevitable. To me, there is an obvious benefit of pairing the “team sports” of innovation and product development with technology that helps teams better share information (within the team, with other experts, and with customers).

However, Jim doesn’t have a crystal ball. So, who has a different opinion? Navigate here to read Mashable article- 45% of Executives Think Social Media Has a Positive Impact on the Workplace. This article is quite interesting in the context of social product development. And here is a reason why. When 45% of execs are confident “social” has a positive impact, only 27% of employees agree. Here is a snippet of Mashable publication:

Executives think social media has a positive impact because it allows managers to be more transparent (38%), helps build and maintain relationships among colleagues (46%), helps build company culture (41%), and fosters a feeling of connection to the company and its leadership (37%)… However, employees disagree with their workplace superiors. Only 33% saying compensation and 24% saying financial performance have effects on company culture. Employees rank regular and candid communications (50%), employee recognition (49%) and access to management and leadership (47%) as having the largest impact.

What is my conclusion? I think vendors need to separate technology from marketing buzz. I can see cases when technologies and social media can create many opportunities for PLM vendors and companies. The examples are communication with customers, big data and others. However, I believe many of these values are not connected directly to all employees, which creates a concern from their side. In addition to that, I can see also how vendors are trying to wrap existing technologies into “social envelope” and hope for good. It is not gonna work. Just my thoughts…

Best, Oleg

Image: FreeDigitalPhotos.net


How to Shift from Noisy PLM to Calm Technologies

August 7, 2012

Cloud PLM, Social Collaboration, 3D Experience, Consumerization… If you are breathing the air of design, engineering and manufacturing technologies and software, you can identify these combinations of words as trends and attempts of vendors to leapfrog in the future software and solutions. I can understand it – companies are looking for a new hero. I’m always excited to see how marketing brains are developing new vision and strategies. Thinking about last decade of innovation, many of them came from the place identified today with so-called "consumer". If you are not following consumer technology trends nowadays, you are in the danger to lose lots of important and really powerful things.

Navigate to the following link to read Mashable article 5 Digital Trends Shaping the Consumer Experience by Macala Wright Lee. I find it interesting. Take 10 minutes and have a read. One trend that caught my attention was about Calm Technology. Despite the fact writeup was about consumer experience, I found it matching the situation I see with PLM and other engineering data management and collaboration software.

Calm technology refers to applications that cut down on the digital noise of high-volume data to show the user only enough information so that he or she is able to focus on a task.
Mark Weiser is considered to be the father of “ubiquitous computing,” a synonym for calm technology. The whole idea is to reduce distractions to our workflow without losing functionality. Weiser postulated that we should not be seeking to enter the virtual world by shopping in 3D environments, but that digital technology should enter our lives in such a way as to make it calmer and easier, not more distracted and disrupted, thus blurring the line between digital and real life experiences.

Do you like the idea? Actually, I think it is nailing the problem most of PDM/PLM products are facing now. Complexity, information overflow, complicated processes. So, how to reduce distraction of workflows? Here are my top 3 ideas how to make it done.

1 – Reduce the number of information streams. The problem I can see is that every piece of software today is trying to become a "center of universe". In an average company, every person may have multiple sources of information – email, process management and workflow systems and more… As a result, people are getting distracted by information streams. To reduce it to ONE should be a goal.

2 – Introduce task oriented behavior. My everyday life is a sequence of tasks. This is how most of systems are working these days. To have my tasks delivered to me will change the way people interact with systems. Task (and not UI, workbench, dashboard, etc.) needs to be a focus of new software development innovation.

3 – Introduce contextual connectivity. Context is a new king of enterprise software. It allows to organize and group information according to the specific data elements. The contextual connectivity helps to filter "needed data" connected to the task and to all other pieces of the information.

What is my conclusion? In Designing Calm Technology, Weiser and John Seely Brown describe calm technology as "that which informs but doesn’t demand our focus or attention." I want collaborative software to stop to behave as a noisy monster and move to state of "an invisible quite servant". I don’t think, there is a simple recipe how to do so. PLM vendors can look for examples in consumer devices, web and mobile application behaviors and other consumer-oriented technologies and companies. I see it quite possible. Just my thoughts. What is your view?

Best, Oleg

Image: FreeDigitalPhotos.net


PLM and Physical Experience

July 14, 2012

Design and engineering world are changing fast these days. 20 years ago, the objective of CAD and other engineering software vendors was to replace “drafting board”. Then analysis, simulations and digital mockup came to place. It allowed to model and optimize some of the product development and manufacturing stages such as physical testing, clash analyzes and others.

However, technology is not standing still. I can see more technologies applied actually in the world of real physical products. We can track manufactured items with RFID devices, airplanes, cars and other transportation tools are equipped with many devices that can track and control behavior of products during their real physical life. I wanted to bring some interesting examples. Earlier I posted about Google self-driving cars. A month ago, Nevada DMV issued first registration to test Google self-driving cars on public streets. The following pictures shows what “driverless car” can see.

One more example. Earlier this week, I learned about research Ford project focusing on connection between car and driver. Navigate to the following link – Ford’s Effort to Design a Car That Knows When You’re Stressed. In a nutshell, Ford is trying to capture biometry from car driver and apply it to car behavior. One of the most fascinating is “don’t disturb” feature. Here is my favorite passage:

Ford is researching ways to make the car more aware of how the driver is feeling and when they might need some sort of assistance. In the case of the ill-timed phone call, a driver-aware car could switch a connected phone to “Do Not Disturb” mode for a minute or so, until things even out and it’s safer to answer a call (hands free, of course).

Another example is actually coming from the opposite side – modeling and simulation. I was reading Kenneth Wong Virtual Desktop blog – Driven by Software: Dassault Systemes Launches Smart, Safe & Connected Car. Kenneth is talking about last announcement of DS related to development of embedded software systems for cars. Dassault is not planning to develop cars. According to the article, DS software is making early vehicle validation.

Dassault Systemes’ solution is a collection of “applications implemented in a modular approach and focused on early virtual vehicle validation.” In the company’s own words, it’s a “new transportation & mobility solution experience for embedded systems.”

The following video of Dimola- Dynamic model behavior and simulation demonstrate some of the ideas.

These are only two examples, but there are many more evidence about applying modeling algorithms and software allowing to control the behavior of cars and other manufactured products – BMW autonomous driving system, “intelligent co-pilot” for drivers developed by MIT PhD student and other examples.

What is my conclusion? The connection between virtual and physical experience is one of the fields that will drive lots of innovations in a near future. To be able to model physical behavior at the stage of design connected with the ability to control physical device can be an interesting field to explore. Just my thoughts…

Best, Oleg


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