New Delhi, May 01, 2017: OMRON Corporation (HQ: Shimogyo-Ku, Kyoto. President and CEO: Yoshihito Yamada) has announced its plan to successively incorporate artificial intelligence (AI)/ internet of things (IoT) technologies into its factory automation (FA) equipment up to 2020 in a bid to offer solutions to the social issues facing many manufacturing businesses, such as the shortage of skilled engineers and rise of labor costs.

By equipping FA equipment with optimal AI algorithms to replace the knowledge and intuition of skilled engineers with AI, OMRON aims to realize the “manufacturing floors of the future” in which “machines bring out human capabilities and creativity”. OMRON is the only FA equipment manufacturer in the world that has all of the necessary equipment for automating manufacturing sites under one umbrella, including sensors and other input devices, motors and other output devices, safety devices, and robots. So far, OMRON has constantly provided its customers with a variety of benefits made possible by the world’s cutting-edge information technology.

Such initiatives include renovation of programmable logic controller architecture into one that is software-based and suitable for informatization, and proactive use of EtherCAT®, IO-Link, and other open networks. Based on its many years of experience and knowhow in developing FA equipment to help its customers to solve their manufacturing issues, OMRON believes that it is important to implement optimal AI algorithms that are carefully selected for each piece of equipment in order to replace the skills of experienced workers with AI on manufacturing floors.

At present, OMRON is conducting demonstrations at its own and customers’ factories in the Netherlands, China, and Japan to determine how different types of FA equipment can be equipped with AI algorithms and how such equipment can be made IoT-capable.

Following its 2015 statement that it would make all of its 100,000 varieties of FA equipment IoT-capable, OMRON has begun releasing related equipment. Simultaneously it started acquiring knowhow on AI-equipped mobile robots and other industrial robot types, as well as the world’s finest motion control technology, and offering such technologies globally. This April saw the release of a temperature controller featuring AI, the first of its kind in the FA industry. By integrating the world’s most extensive FA equipment line with AI, IoT, robotics, and other state-of-the-art technologies, OMRON is enhancing its products and technologies that help to solve issues on manufacturing floors.

Going forward, in order to make IoT and AI technologies into handy tools on manufacturing floors, OMRON plans to equip sensors, as well as machine automation controllers, with optimal AI algorithms in order to complete its plan to make all of its FA equipment AI-/IoT-capable by 2020. OMRON will remain committed to realizing manufacturing processes that “produce no defects and do not stop”. It will do so by using its original AI-equipped, IoT-capable, devices to monitor the status of equipment and processes and assure product quality in its ongoing effort to resolve the social issues that trouble manufacturing businesses, including the shortage of skilled engineers and the rise of labor costs.

According to several reports there will be 50 billion connected devices by 2020. The Internet of Things (IoT) is spreading its divisions across diligences, organization, utilities, homes, and almost everywhere. IoT is helping in the next Industrial Revolution and will enable new form of analytics to analyze a massive cloud of dynamic, ever changing information and offer information that can be used for operative and analytical purposes. However, its first and greatest impact is expected to be in the industrial sector, where organised change is more feasible than in sectors where the public are involved.

According to Hrishikesh Kamat, CEO, Shalaka Technologies, “The IoT is regarded as a disruptive technology and a game changer. IoT is a network of physical real world objects that can sense information using different sensors, send the information using internet connectivity and perform actions as required. This helps dumb objects capable of understanding various parameters and reacting to stimuli.”

What is industrial IoT?
Industrial IoT is termed as IIoT which refers to IoT technologies in manufacturing. IIoT incorporates machine-to-machine communication, machine learning, artificial intelligence, machine learning, and big data technology, harnessing the sensor data and using them for preventive and predictive maintenances. The driving philosophy behind the IIoT is that smart machines are better than humans at accuracy, consistently capturing and communicating data.

“IIoT is the next generation of digital technology centered on smartly optimizing the industrial processes so as to enable the manufacturers to make the most of the industrial internet revolution,” says Sameer Gandhi, MD, Omron Automation, India.

Process cycle of IIOT: Collecting data from sensors (things) – decoding this data strategically using big data analytics to turn them into actionable information – presenting this actionable information to the right person at the right time – delivering efficiency by taking corrective action.

IIoT is actually an extension of factory automation and connectivity that has been a part of the manufacturing environment for decades. It’s high level of automation backed by huge data. These data are then further analyzed to make machines intelligent that can take decisions on their own.

“IIoT is a system that incorporates complex machines with high-end software programs and sensors for collecting the real time data and analyzing it to increase productivity and reduce operational time and costs,” avers Hrishikesh.

Building blocks of Industrial IoT
The building blocks of Industrial IoT constitute of Sensing Node (Sensor), Processing Node (MCU), Connectivity Node (Wired/Wireless), Remote Embedded Processing Node and Cloud Computing and Digital Signal Processors. This building block will also have correspondent at each controller unit, software for each block, security in terms of integrity, confidentiality & reliability of the data being communicated between the blocks. Built-in hardware security at each node will be an essential requirement.

Says Sameer Gandhi, “This technology is an intricate and fascinating network of products, systems, platforms and applications communicating and sharing intelligence with each other & the manufacturing environment including the people. So it is basically not only making the machines intelligent but also making them communicate with each other and with their operators. This, over a period of time, leads to superior levels of optimization further leading to real time waste management, economies of scale by bringing down the operating cost and, thus, production of better output which benefits not only the manufacturers but the end users too.”

Applications of Industrial IoT
IIoT has application in every industry in all departments like maintenance, production, design, inventory management, operation and logistics, among others. IIoT enabled device can be used for many industrial applications like monitoring electricity consumption, viscosity of material, vehicle tracking, machine health monitoring, detection of harmful gases, raising alert, detection of sulphur to prevent corrosion, temperature, pressure & humidity monitoring, and many others. These are just tiny little hand-picked applications but IIoT has acceptability in almost all the industrial setup.

“The technology provides the possibility of achieving extraordinary levels of productivity while constantly assessing risks and relationships. At the core of the technology, currently, are varied smart sensors and PLCs that can connect to the MES/ERP layer facilitating access to real-time information exchange,” adds Sameer Gandhi.

Agrees Hrishikesh, “IoT helps to bring in traceability in the Manufacturing platform. Traceability is the ability to document the history, location or application of the item. Like for example, operator of the CNC, part machined, duration, time and other machine related information during time of action.”

Benefits of IIoT
Thought leaders around the world say the most valued companies will be those that blend digital capabilities and industrial assets.

“Introducing IoT flavour in CNC helps increase operational efficiency and increase throughput. This would eventually result in lesser manufacturing cost and better financial margins. IoT helps bring in intangible advantages like predicting machine breakdown and preventing/reducing downtime by taking proper measures. This helps to ensure that machines run at best efficiency and provide best throughput,” says Hrishikesh.

IIoT can help in:

• Predictive maintenance efficiencies: Machine break down is the biggest nightmare for any plant manager, this directly impacts the overall production cycle of the company and output. Placing sensors in equipment or machines and pairing them with software allows companies to predict when equipment will fail, and it gives them the opportunity to fix problems well before the breakdown.

• Innovative ways to track and analyze equipment: While predictive maintenance is a great way to use sensors for the IIoT, other companies are using them for real-time data tracking. Michelin sells some of its tires with embedded sensors to track fuel consumption, tire pressure, temperature, speed, and location in fleet trucks. That data is then sent to a cloud service, where company analysts look at the data and recommend to truck fleet managers how they can save fuel.  

• Increased revenues: Even though it’s very early to come up with some numbers about the increase in revenue or decrease in expenditure on factory maintenance or machine breakdown, the benefits are clearly visible as IIoT helps in increasing efficiency, saving money in maintenance, realizing full potential of the machine and enhance productivity.  This clearly reflects on the overall revenue of the company. According to Accenture, the value from IIoT technologies and services could bring in up to $15 trillion in global GDP by 2030.

Just to give an example Sameer adds, “Imagine an automotive assembly line, which would typically have a few thousand sensors. Now if any of these sensors fail, the entire line could stop working, which will require manual identification and repair/ replacement, leading to non-productive time. With IIoT, Omron is enabling to connect the sensor in a way, wherein we’re not only getting information from the sensor but also about the sensor. So we can now look into ambient conditions affecting the sensors and other deeper aspects, allowing us to predict the failure of a sensor, before it actually happens.”

India’s take on IIoT
The Indian Government’s plan to develop 100 smart cities in the country, for which Rs. 7,060 crores have been allocated in the current budget could lead to a massive and quick expansion of IoT in the country. Also, the launch of the Digital India Program of the Government, which aims at ‘transforming India into digital empowered society and knowledge economy’ will provide the required impetus for development of the IoT industry in the country. The various initiatives proposed to be taken under the Smart City concept and the Digital India Program to setup Digital Infrastructure in the country would provide a needed boost to the IoT industry. IoT will be critical in making these cities smarter.

Apart from this, programs like Make in India have boosted the investment sentiment in the country. Many global giants are setting up manufacturing facilities in India and Indian conglomerates along with SMEs are looking for more and more automation. This trend will certainly drive the future of the Indian IIoT market.

Department of Electronics and Information Technology, (DeiTY) has come out with a draft IOT Policy document which focuses on following objectives:

• To create an IoT industry in India of USD 15billion by 2020. It has been assumed that India would have a share of 5-6% of global IoT industry.
• To undertake capacity development (Human & Technology) for IoT specific skill-sets for domestic and international markets.
• To undertake research & development for all the assisting technologies.
• To develop IoT products specific to Indian needs in all possible domains.

The Policy framework of the IoT Policy has been proposed to be implemented via a multi-pillar approach. The approach comprises of five vertical pillars (Demonstration Centres, Capacity Building & Incubation, R&D and Innovation, Incentives and Engagements, Human Resource Development) and 2 horizontal supports (Standards & Governance structure).

Talking about the current state of Indian IoT industry, Hrishikesh says, “India has huge opportunities for IoT solution providers like us and we are very excited to be part of this growing IoT ecosystem in the country. Even though this technology is in very nascent stage in India where many companies are yet to adopt basic level of automation, we believe in the next 5 years there would be huge demand for embedded system, connected devices, cloud platform, data analytics services, high-end sensors, among others. We welcome the move of Indian government to further boost the adoption and development of IoT system in India.”

Future Ahead
Experts believe that the Industrial IoT market is going to be bigger than consumer IoT. According to General Electric, by 2020, revenues generated from the IIoT market will be about $225 billion. In comparison, GE forecasts the consumer IoT will only generate about $170 billion by that time. This clearly shows the opportunities in IIoT segment.

With companies investing a lot of money in IIoT and more and more devices are to be connected with internet in the coming future, India is not going to be left behind. Indian companies, be it small, medium or large OEMs, have realized the potential of IoT and ready to be part of growth story.

“Indian companies are looking forward with great enthusiasm and are ready to incorporate Research and Development activities into their organization. Many Indian OEM’s are looking towards Smarter Factories that are inclined towards higher efficiency and lesser downtimes. Many Indian Companies are looking forward towards incorporating concepts like IIoT, M2M communication and centralised data analysis and control,” concludes Hrishikesh

By Nishant Kashyap

India woke up to 2 new words “Surgical strike” & “Demonetization”! These words became the buzz word across social media and other media platforms making its way to Corporate presentations as well.

These phenomena will be witnessed in manufacturing sector as well, the emergence of modern manufacturing processes powered with simulation solutions brought revolution in the way products are getting designed and manufactured. During this cusp transition consumers are seen showing “intolerance” towards any deviation in promised quality or delivery. In manufacturing processes, many product organizations became vocal about the quality issues and more receptive to any internal or external complaints which have led to high recall of the products, irrespective of the cost implications. Manufacturing industry experienced the surgical strike of “being environmental friendly” tag line and adheres to many emission norms by design.

The rapid changes in the consumer behavior and technology is evident in buying and selling patterns across every manufactured goods(s), the word “connected” brought about a big race to connect every device across the network or over the internet, from home refrigerator to air conditioners. The amount of lines of software code in any manufactured good now exceeds the lines of code in any major software application itself, the emergence of “mobile apps” have made the products to be connected or option to stay connected with internet 24/7. The need to stay connected is bringing in a complete shift in the way products are getting designed and manufactured. Whether it is mechanical or non mechanical, a device having an antenna is becoming a necessity than a choice.

Manufacturing industry now designs the products keeping reactive support as barometer but IoT will be based on the proactive support as more & more products are going for replacement/refurbished parts than repair. Customers expect service as part of the deal than a fall back option. The entire supply chain model is undergoing evolutionary change as customer feedbacks are visible on social media than on CRM, this is going to influence the prospective customers and hence the importance linked to it. Like incase of a fountain pen not writing well after few days, ink maker nor the nib maker can push responsibility to each other as customer will declare the problem at social media not just CRM of the seller or manufacturer.

“Demonetization” factor in manufacturing industry is going to be IoT, wherein all old methods of addressing customer aspirations will not hold good. As per many industry surveys more than 60% discrete manufactured products will be under IoT regime in 2 years time.

Curtain raiser effects are visible in the market engineering to PLM company acquiring EDA solutions company and renowned brand in mobile handsets buying automotive tier 1 supplier.

India will leapfrog to IoT era in the commercial vehicles segment as many steps pursued viz RFID based toll collection to GPS based goods delivery acknowledgment and GST.

Following are some of the effects of Demonetization ie IoT

Quality: how products gets rated on mobile apps and how products are serviced take precedence over warranty or guarantee. Manufactured products will not only interact with each other; they will also provide insight into “how customers view quality”. From NPD stage itself products will be simulated for different experiences, this will lead to the complete supply chain to enter the simulated product development regime.

Service: This was one of the value addition most of the manufactures and sellers pitched to customers, post IoT the service becomes denominator, anticipated service takes precedence. More the connectivity between manufactures and customer; the seller and manufacture become equally responsible to respect the SLA. One of the example happens in daily life, when seller becomes buyer expects taxi driver to arrive on time, even delay of few minutes looks unacceptable and rates the driver/service provider every ride, irrespective of the car brand and the history of the driver/service provider.

Manufacturing supply chain: Minimum of 2-3 various suppliers or manufactures get involved before product reaches the customer. Most of them had option to act in isolation as the seller faced the customer more than the manufacturer, IoT will connect the complete supply chain with real time data than just a feedback of the customer which was a long process earlier for NPD or manufacturer.

IoT products will be designed under multi-physics environment at concept stage itself, irrespective of the geographies where the products will be used. Example may be person in NCR may spend more than 1 hour in a car driven by driver, while person in Bangalore spend the same amount of time in self driven car. The same car, same amount of time in the car, but the experience and expectation will be totally different.

NPD: Effects in manufacturing will be experienced once the majority of discrete parts are designed on the IoT manufacturing platforms (like cashless economy); The concepts will get tested using 3Dprinting and the complete supply chain will shift to simulation powered design, multiphysics simulation will set to become norm as product(s) not only had to coexist with other they

also exchange the data with ease (like ewallets), every physical identity may get digital identity, not just as design or simulation file but as identifiable identity (like bio metric); in the hands of customer.

IoT will be an undeclared death knell for non genuine parts manufacturer, they will cease to exist like demonetized currency as OEM manufactures will commit the service agreement based on timeline than on time line of warranty, this will be a geography agnostic.

Customer driving on rent self driving SUV on serene environment of Tibet, in demontized era SUV should communicate to nearest service center about any issue before hitting Khardung La road. Customer will expect service specialist at earliest possible, the new normal in IoT era.

Disclaimer: The opinions expressed in this article are those of the author. You may connect Janardhan Pranesh for further discussions. 

ANSYS  announced   that it will collaborate with GE to create model-based digital twin technology and disruptive commercial business models to deliver on the promise of the Industrial Internet of Things. This builds on an existing relationship between the two companies. ANSYS will demonstrate a variety of industry-specific digital twins at GE’s (NYSE: GE) Minds + Machines event in San Francisco, dedicated to building the digital industrial ecosystem.

Simulation technology is no longer solely used by engineers to design better products and reduce the costs of physical testing. Leading organizations are expanding the use of simulation into operations by creating digital twins – virtual representations of individual operating assets whose performance and productivity can be improved dynamically through simulation technology. Coupling the rich sensor data from increasingly smart industrial equipment with the predictive power of simulation, specific operating conditions can be analyzed and failure points predicted, unlocking billions of dollars in production and maintenance optimization.

Digital twins can live with the asset, providing a dynamic self-teaching model used to optimize its performance in conjunction with an Industrial Internet of Things (IIoT) platform. This combination of machine learning, coupled with physics-based modeling, enables organizations to see how their products performed in the past and predict the future simultaneously. Using ANSYS to create model-based digital twins will provide a foundation to scaling the benefits of the IIoT. This is no longer a theoretic concept as ANSYS and GE Global Research are already demonstrating actual implementation of digital twins, like the GuardEon Molded Case Circuit Breaker, a powerful low-voltage circuit breaker designed for global industry applications. By using ANSYS software, GE engineers are able to study and test complex physics at a level of detail that was impossible to achieve through physical testing.

“Pairing physics and analytics models via the digital twin is essential to providing our customers with the 360 degree insights they need to create competitive advantage in a rapidly changing world,” said Eric Bantegnie, ANSYS vice president. “We are excited to be taking another step forward in our long-standing partnership with GE.”

Through this collaboration, ANSYS will work with GE Digital, GE Global Research and GE’s industrial businesses to expand and integrate ANSYS’ leading physics-based engineering simulation and embedded software development platform with GE’s Predix platform to power digital twin solutions across a wide range of industries. Scaling digital twin solutions from the edge to the cloud will accelerate the value of ANSYS simulation, drive Predix adoption and open new opportunities to explore disruptive business models and commercial relationships.

“We are building the digital industrial ecosystem to drive better outcomes for our customer through the Predix platform,” said John Magee, Chief Marketing Officer, Predix. “ANSYS is the market leader in physics-based simulation, and we are pleased to work with them to scale model-based digital twin solutions on Predix to provide our customers with new insights that were not possible before.”

FANUC CORPORATION, the world’s leading supplier of robotics and factory automation, is collaborating with Cisco, the worldwide leader in IT-enabled digitization, as well as Rockwell Automation, the world’s largest company dedicated to industrial automation and information solutions, and Preferred Networks, a leading provider of Artificial Intelligence solutions. The companies will work together on the development and deployment of the FANUC Intelligent Edge Link and Drive (FIELD) system, a platform that connects not only Computer Numerical Control machines (CNCs) and robots, but also peripheral devices and sensors – to deliver analytics that optimize manufacturing production.

The FIELD system will be a platform for the delivery of advanced analytics for FANUC CNCs, robots, peripheral devices, and sensors used in automation systems. It will drive improved machine reliability, quality, flexibility, and speed – elevating the Overall Equipment Efficiency (OEE) and increasing manufacturing profitability. It will also provide advanced machine learning and deep learning capabilities. By working with Cisco, Rockwell Automation, and Preferred Networks – FANUC will offer a complete solution including network and compute infrastructure, applications, and an enabling middleware platform. With this open platform — application developers, sensor and peripheral device makers, system integrators, and others can build solutions that improve equipment efficiency, manufacturing output, and quality.

Extension of Current Successes

The FIELD system extends the success of the existing FANUC ZDT (Zero Downtime) connected robots project; ZDT is built with Cisco cloud, IOT data collection software, and end-to-end security capabilities.

The companies are working together to implement systems for major automotive manufacturers by leveraging the Allen-Bradley Stratix Ethernet switches from Rockwell Automation to connect robots to a Cisco Unified Computing System (UCS) – all of this running on FANUC and Cisco’s ZDT Data Collection software. Automotive customers who have implemented this system are quickly realizing a significant decrease in production downtime as well as increased cost savings.

Intelligent Manufacturing

The FIELD system will bring the power of advanced machine learning and artificial intelligence into the hands of customers and application developers — driving manufacturing to a new level of productivity and efficiency. FANUC and Preferred Networks have established these new technologies for applications such as Bin Picking robots, anomaly detection, and failure prediction. The FIELD system combines both artificial intelligence and edge-computing technologies – enabling distributed learning. Data is generated from robots and machines and is processed in real time at the edge of the network. This allows those devices to intelligently coordinate and collaborate in a flexible manner – resulting in sophisticated manufacturing practices not before possible.

Who provides What for the FIELD System?

FANUC: Provides CNCs and robots with embedded sensors to track key variables required to improve machine reliability, quality, and speed.

FANUC, Cisco and Preferred Networks : Provides enabling middleware Platform Software, as well as security and application lifecycle management applications. It will also leverage Preferred Networks’ open deep learning framework (Chainer), IoT Stream Engine (SensorBee) – and other advanced machine learning libraries within its Deep Intelligence in-Motion (DIMo) platform.

Cisco and Rockwell Automation : Provides networking, compute and security infrastructure to connect the robots, CNCs, and other cell equipment to the FIELD applications. Based on the Rockwell Automation and Cisco collaboratively developed Converged Plantwide Ethernet (CPwE) architecture – this further drives improved security, connectivity, flexibility, and scalability – all of which allows connection from a single, small cell to a large factory with hundreds of cells.

FANUC, Rockwell Automation and Preferred Networks : Delivers the initial Application Software on top of the FIELD middleware and infrastructure platform. This will extend the LINK-i and ZDT applications currently deployed, along with additional deep learning applications from the FANUC and Preferred Networks partnership. It is planned that Rockwell Automation manufacturing software products (including FactoryTalk View, FactoryTalk VantagePoint, and FactoryTalk Production Center) will seamlessly integrate with the FIELD system to speed deployment.

LEADERSHIP QUOTES

Sujeet Chand, Senior VP and CTO, Rockwell Automation

“By collaborating with world class companies, Rockwell Automation helps maximize manufacturers’ investments by leveraging the data from their intelligent devices they are using today to drive an enterprise-wide analytics strategy. With a secure scalable compute approach to analyze this data – from device to the enterprise – users can improve operations and make more informed decisions tailored to meet the needs of their organizations.”

Rowan Trollope, SVP IoT and Applications, Cisco

“ This collaboration represents a historic shift in the industry, with IoT, industrial automation and machine learning coming together to make the factory of the future a reality. It’s been talked about for years, but now it is really happening. Cisco couldn’t be more thrilled to be a part of this effort, one that will be key to our positioning in other industries that want to realize the benefits of digitization .”

Toru Nishikawa, CEO, Preferred Networks

“PFN is excited that this collaboration will further accelerate the advancement of the manufacturing industry. Since the start of our work with FANUC, leveraging machine learning and artificial intelligence has been aimed not only at making machines and robots smarter, but also towards a continuous improvement of manufacturing productivity through intelligent real-time coordination and collaboration between robots and machines. We are confident that FIELD will play a central role in making that vision a reality.

The word spirituality brings varied emotions with people across age group and profession. The concept of spirituality itself has leap forged in the last decade, while the advent of social networking and self distracting tools made ‘Spirituality” as must have than can have option for peaceful life, to be spiritually inclined is becoming IoT of life.

The average human life has moved into an era of distractions and these distractions have evolved in spirituality as pit-stop in the life. Spirituality is now a specialised and personalised service, thanks to smartphone’s and apps. This leads to emergence of new concepts in spirituality; few startups have become mega spiritual corporations.

Pre web 2.0 spirituality was used as a step back option to reconnect with inner self and it was also used as affordable lever to mitigate the psychological insecurities. Emergence of web 2.0 resulted in making spirituality a hide out to connect with inner self through professional networking or social networking sites.

The similar effect is evident in the product and services segment; wherein simulation solutions spiritualises the business goals. Customer aspirations have kept the product and services companies on their toes to remain innovative to achieve the brand loyalty; thereby simulation solutions are becoming the limbic brain of the design.

The drivers for spirituality and simulation solutions are very much similar:-

Spiritual guru’s (simulation solver) : Spirituality movement driven by person or institution to provide arrested landing to human mind over distractions and spirituality is religion agnostic.   The fan following to any spirituality way doesn’t just depend on the guru, it all depends on the experiences of the disciples and how well the guru’s concept have connected with their day-to-day life.

Simulation solution addresses the spiritual quotient to all product and service companies by being CAD agnostic and bringing nirvana to their engineering problems (helping their engineering problems attain nirvana). Simulation products helps the companies to protect their IP and uniqueness of the product

Spiritual movement (simulation ecosystem): A unique spiritual ideology brings fanatic followers, these followers become brand ambassadors bringing business value to the movement. This is possible, when follower’s quality of life is enriched in everyday life.

Simulation ecosystem does the same to product and services companies; the availability of qualified manpower and solution capability to solve the engineering problems involving multiple physical entities. The adoption of specific simulation depends on whom the customer is following in day-to-day life than whom he wants to follow.

Spirituality religion agnostic (simulation solution R&D focus and on cloud): Any spiritual movement is successful when

the spiritual gurus/institutions make right research and provide scientific, medical rationales to follow the path. This reassures the followers as ‘Why’ chosen method will improve their quality of daily life.

Simulation solutions get respect and acceptability with customer segments due to its focus on R&D spend, the R&D spend by the simulation solutions will help customers to achieve their business targets, attain high ROI on technology spend and protect the IP.

Simulated products/services will be enable to connect with ‘Why’ quotient of end customers of the product or services and simulation solutions on cloud helps its customers to practice innovation spirituality at low cost of ownership. Soon customers will aim to decipher new ‘Why’ ie IoT with simulation.

We are entering an era, wherein International Yoga Day is being celebrated and Steffi Graf is named as the brand ambassador for ayurveda, similarly multiphysics will be the yoga of simulation very soon.

Image Courtesy: Kishan Harwalkar