by Gary Mintchell | Jan 14, 2020 | News, Software
Next to acquisitions, partnerships are driving actions among major digital industrial supplier players. With today’s announcement, Aras, who labels itself “the only resilient platform provider for digital industrial applications,” announced a strategic partnership with ANSYS that includes the licensing of the Aras platform technology to enable the next generation of digital engineering practices.
When we last saw ANSYS on this blog, Rockwell Automation had announced a partnership to enhance its digital twin and simulation offering.
ANSYS will leverage the underlying Aras platform technologies such as configuration management, PDM/PLM interoperability, API integration, and add simulation specific capabilities to deliver highly scalable and configurable products that connect simulation and optimization to the business of engineering — creating new ways of exploring and improving product performance.
Organizations increasingly expect to leverage simulation throughout the product lifecycle to interoperate with their existing PLM, ALM, and ERP applications. Additionally, customers must address scale and complexity challenges with data and process management, traceability and availability of simulation results across the lifecycle.
ANSYS is leveraging Aras’ resilient platform services combined with its simulation domain expertise and technology for new product offerings to improve productivity and maximize business value from simulation investments. ANSYS will deliver commercial offerings for simulation process and data management, process integration, design optimization, and simulation-driven data science.
“With our open ecosystem approach, this unique collaboration combines the strengths of ANSYS’ industry-leading multiphysics portfolio and the resilient platform from Aras for digital connectivity to dramatically enhance customer value,” said Navin Budhiraja, vice president of cloud and platform business unit, ANSYS. “As simulation technologies impact every product decision, we see the ability of ANSYS solutions to interoperate and link with heterogeneous systems as an important step to accelerate the digital transformation for our customers.”
“We believe that simulation is essential to developing tomorrow’s next generation products, and that better data and process management of simulations is required to enable the digital processes of the future which will support these products,” said Peter Schroer, president and CEO, Aras. “We see the ANSYS and Aras partnership as a potential game changer in connecting simulation to engineering processes for traceability, access and reuse across the product lifecycle.”
by Gary Mintchell | Oct 24, 2019 | Technology
Cray, an HPE company, held a panel discussion webinar on October 18 to discuss Exascale (10^18, get it?) supercomputing. This is definitely not in my area of expertise, but it is certainly interesting.
Following is information I gleaned from links they sent to me. Basically, it is Why Supercomputing. And not only computers, but also networking to support them.
Today’s science, technology, and big data questions are bigger, more complex, and more urgent than ever. Answering them demands an entirely new approach to computing. Meet the next era of supercomputing. Code-named Shasta, this system is our most significant technology advancement in decades. With it, we’re introducing revolutionary capabilities for revolutionary questions. Shasta is the next era of supercomputing for your next era of science, discovery, and achievement.
WHY SUPERCOMPUTING IS CHANGING
The kinds of questions being asked today have created a sea-change in supercomputing. Increasingly, high-performance computing systems need to be able to handle massive converged modeling, simulation, AI, and analytics workloads.
With these needs driving science and technology, the next generation of supercomputing will be characterized by exascale performance, data-centric workloads and diversification of processor architectures.
SUPERCOMPUTING REDESIGNED
Shasta is that entirely new design. We’ve created it from the ground up to address today’s diversifying needs.
Built to be data-centric, it runs diverse workloads all at the same time. Hardware and software innovations tackle system bottlenecks, manageability, and job completion issues that emerge or grow when core counts increase, compute node architectures proliferate, and workflows expand to incorporate AI at scale.
It eliminates the distinction between clusters and supercomputers with a single new system architecture, enabling a choice of computational infrastructure without tradeoffs. And it allows for mixing and matching multiple processor and accelerator architectures with support for our
new Cray-designed and developed interconnect we call Slingshot.
EXASCALE-ERA NETWORKING
Slingshot is our new high-speed, purpose-built supercomputing interconnect. It’s our eighth generation of scalable HPC network. In earlier Cray designs, we pioneered the use of adaptive routing, pioneered the design of high-radix switch architectures, and invented a new low-diameter system topology, the dragonfly.
Slingshot breaks new ground again. It features Ethernet capability, advanced adaptive routing, first-of-a-kind congestion control, and sophisticated quality-of-service capabilities. Support for both IP-routed and remote memory operations broadens the range of applications beyond traditional modeling and simulation.
Quality-of-service and novel congestion management features limit the impact to critical workloads from other applications, system services, I/O traffic, or co-tenant workloads. Reduction in the network diameter from five hops (in the current Cray XCTM generation) to three reduces cost, latency, and power while improving sustained bandwidth and reliability.
FLEXIBILITY AND TCO
As your workloads rapidly evolve, the ability to choose your architecture becomes critical. With Shasta, you can incorporate any silicon processing choice — or a heterogenous mix — with a single management and application development infrastructure. Flex from single to multi-socket nodes, GPUs, FPGAs, and other processing options that may emerge, such as AI-specialized accelerators.
Designed for a decade or more of work, Shasta also eliminates the need for frequent, expensive upgrades, giving you exceptionally low total
cost of ownership. With its software architecture you can deploy a workflow and management environment in a single system, regardless of packaging.
Shasta packaging comes in two options: a 19” air- or liquid-cooled, standard datacenter rack and a high-density, liquid-cooled rack designed to take 64 compute blades with multiple processors per blade.
Additionally, Shasta supports processors well over 500 watts, eliminating the need to do forklift upgrades of system infrastructure to accommodate higher-power processors.
by Gary Mintchell | Oct 16, 2019 | Software
The design engineering function originates data. It includes data about the structure of the plant or factory, data about the equipment and processes used to make the product, and data about the product(s) itself. In my early career, I embodied the movement of the data from design to operations and then back to design in a continuous loop of as designed—>as built—>as designed. I was also involved for a while in the development of a platform to automate this process using standards.
To say I’m interested in this area would be an understatement. And this process is important to all of you, too. Including those who siphon off some data for other uses such as accounting, customer service, maintenance, and reliability.
AVEVA, the integration of its iconic design engineering software and Schneider Electric’s software business, just introduced integrated engineering software designed to help customers transform the way capital projects are engineered, executed, and integrated into operations and maintenance.
The integrated portfolio comprises three software solutions. AVEVA Unified Engineering integrates process design with front-end engineering and detailed 3D based design. AVEVA Unified Project Execution links and streamlines procurement and construction processes for capital projects. AVEVA Enterprise Learning enables the rapid skilling of operators and engineers using Extended Reality (XR) and simulation tools, to ensure efficient startups and shutdowns, normal operations, and the ability to handle abnormal situations
“This launch builds on the recent news describing AVEVA’s capabilities as the first company in the engineering and industrial software market to comprehensively address the end-to-end digital transformation imperatives with an integrated portfolio of solutions that deliver efficiency, unlock value and empower people across the lifecycle of capital assets and operational value chains,” commented Craig Hayman, CEO, AVEVA. “It changes the way that owner operators engage with Engineering, Procurement and Construction (EPC) companies in designing, building, commissioning, and operating their capital assets.”
The functionality provided in these integrated solutions enables the realization of an EPC 4.0 strategy for owner operators, central to digital transformation in the capital-intensive process sectors. This allows collaboration on a global scale, through hybrid cloud architectures and on a common platform. The entire manufacturing process can be traced, tracked, and linked – from engineering and design, through procurement and construction, to handover and to operations and maintenance, as a comprehensive Digital Twin for the capital asset.
“As competition in the business world accelerates the time has come for industrial organization to innovate to facilitate the transition from the manual, document-centric processes, towards a data-driven vision of project design, procurement, and execution in order to increase safety, reduce costs, and minimize delays, “ commented Craig Hayman, CEO AVEVA. “With the launch of AVEVA Unified Engineering, a first of its kind solution, we are breaking down the silos between engineering disciplines and enabling our customers to turn conceptual designs into 3D models quickly, accelerating engineering to estimation and ensuring designs can be operated before committing billions of dollars.”
New AVEVA Unified Engineering enables the integration of the process model and plant model lifecycles from concept to detailed design, delivering frictionless collaboration for multi-discipline engineers to collaborate in the cloud. The net result is a minimum 50% improvement in engineering efficiency in FEED and up to 30% in detail design, which can yield a 3% total installed cost improvement. These savings can be re-invested to ensure engineering quality, accuracy, and maturity for downstream project execution business processes.
AVEVA Unified Project Execution solutions integrate with AVEVA Unified Engineering to further break down the silos within Procurement and Construction by combining key disciplines covering Contract Risk Management, Materials and Supply Chain Control, and Construction Management into one cloud based digital project execution environment. AVEVA Unified Project Execution solutions deliver up to 15% reduction in material costs, 10% reduction in field labor costs and reduces unbudgeted supplier change orders by up to 50%, which translates to 10% total installed costs savings opportunities for our customers.
AVEVA’s Enterprise Learning solutions combine traditional simulation-based learning with 3D connected learning management solutions. AVEVA’s learning solutions extend process models and 3D models from AVEVA Unified Engineering to fast track DCS panel operator training, field operator training, process and maintenance procedural training, and process safety situational awareness training using cloud and Extended Reality (XR) technology to deliver up to 2% Total Installed Cost reduction by improved operations readiness.
“Our Engineering portfolio enhancements will deliver increased agility for our customers, enabling them to reduce cost, risk, and delays, minimizing errors and driving rapid capital project execution. The cost savings are realized by mitigating capital investment risks at the process design stage, cutting engineering man-hours by up to 30% in plant design, reducing material costs in procurement by up to 15% as well as reducing field labor costs in construction by up to 10%,” commented Amish Sabharwal, SVP, Engineering Business, AVEVA. “With these new solutions AVEVA is providing integration across all stages of the capital project, from conceptual design to handover, to optimize collaboration and break down silos between both engineering disciplines and project stages.”
by Gary Mintchell | Sep 5, 2019 | Internet of Things, Operations Management, Software
Industrial Internet of Things plays the starring role in the new digital transformation theater, but digital twin is the supporting actress without whom there would be no drama. Simulation comprises an important element of this whole digital enterprise scene. ABI Research has been releasing some interesting research reports, and this one just hit my inbox that is quite interesting.
The Manufacturing Simulation Software Competitive Assessment analyzed and ranked seven major vendors in the industry – Siemens, Dassault Systèmes, Arena (Rockwell Automation), AnyLogic, FlexSim, Simio, and Simul8 – using ABI Research’s unbiased innovation/implementation criteria framework. For this competitive assessment, innovation scores examined the technical capabilities of the vendor’s software and implementation scores focused on the vendor’s commercial ability to deliver their solution around the world across a variety of manufacturing verticals.
Ranked as the top manufacturing simulation software vendor, Siemens scored highest in implementation and topped four of the ten scoring criteria. Dassault Systèmes came in a close second, having scored the highest in innovation and topped three of the ten criteria.
A key judgment criterion within the innovation category was digital twin capability, the software’s ability to align end-to-end physical processes with a dynamic digital representation that provides two-way feedback and ongoing optimization. Vendors were also judged according to data ingestion, the software’s ability to utilize high volumes of real-time data from a variety of sources, including industrial equipment and sensors on the factory floor. Further assessment included UX, data modeling and analytics, and virtual commissioning capabilities.
ABI Research chose these vendors for the assessment due to their simulation capabilities in discrete manufacturing specifically, where software is used to simulate physical processes digitally to optimize engineering, planning, and operations on the factory floor.
Siemens scored strongest overall due to its ability to integrate simulation with the widest range of adjacent industrial software and hardware. This integration provides the most robust end-to-end product offering to manufacturers. Another major strength of Siemens is virtual commissioning, delivered through its Simcenter and PLC Sim Advance tools. These tools allow simulation capabilities to extend to the machine control level, where individual machines can be virtualized and modeled to improve equipment efficiency and reduce failure rates. Dassault Systèmes very closely followed Siemens and topped the innovation category due to outstanding digital twin capabilities and analytics performance via the company’s impressive 3DExperience platform. These two companies stood out from the field and were therefore named Leaders in the report.
“It is no coincidence that the two companies with the strongest end-to-end software offerings across the smart manufacturing value chain have emerged as Leaders in this report,” said Ryan Martin, Principal Analyst at ABI Research. “Siemens and Dassault Systèmes can leverage their broad service offerings and industrial expertise to feed innovation and to implement complete solutions that equate to powerful and reliable simulations in discrete manufacturing.”
Three companies- Arena (Rockwell), AnyLogic and FlexSim- were named as Followers in the report. While these companies lack the full range of simulation capabilities of the Leaders, especially at the machine and equipment level, they have strong modeling and analytics capabilities. They, therefore, provide effective solutions for simulating factory floor layouts to optimize discrete manufacturing performance according to key metrics such as product throughput, machine downtime, capacity, and inventory levels. Arena, owned by Rockwell Automation, topped the Followers category due to strong performance in data modelling and analytics. Arena’s complex variability modeling capabilities and its strong installed base within the market contributed to a strong score in implementation.
“Ultimately the companies that scored best in the ranking can go beyond high-level factory layout simulation by also accurately modeling and commissioning industrial equipment on the factory floor and incorporating product design into the simulation environment. This means the way machines behave and how they are used to manufacture actual products is considered more comprehensively, a key factor in generating more reliable simulations. For this reason, Siemens and Dassault Systèmes stand out as market leaders in discrete manufacturing simulation software,” concludes Martin.
by Gary Mintchell | May 24, 2019 | Software, Technology
I flew to Orlando May 22 as a guest of Siemens along with a select few other “influencers” to be introduced to a number of innovation projects fueled by Siemens technology. We met at the Dr. Phillips Center for Performing Arts in downtown Orlando (did you even know there was a downtown?), which itself is filled with Siemens equipment. There are few companies in the industrial area which I cover that have the vision and execution that Siemens is exhibiting right now.
By the way, there is a fantastic little taco place in downtown Orlando. Email or DM on Twitter, and I’ll share the name. Greg Hale of ISSSource.com and I had dinner there Wednesday. We agreed—among the best tacos we’ve had.
Barbara Humpton, CEO Siemens USA, led with an overview. Siemens has made a greater than $1B investment in R&D in the US with 7,000 engineers churning out 700 inventions per year.
She introduced former stunt man and motorcycle racer turned CEO Mike “Mouse” McCoy, CEO & Founder of HackRod. McCoy built on a foundation of Siemens PLM and SolidEdge CAD. He added a gaming engine. He was able to use VR for design reviews, interference checking, and simulation during the design process. We followed along with design and review of a new motorcycle. A few parts required somewhat exotic materials. Oak Ridge National Labs printed the parts from the design files downloaded from HackRod. The design teams were in Ventura, CA and Princeton, NJ with input from Munich, Germany. Collaboration was not a problem.
Beginning of design until component parts shipped to Orlando—2 weeks. The parts arrived Tuesday. McCoy and a partner assembled the motorcycle on Tuesday evening and wheeled (not drove) it onto the stage Wednesday about 1:30. Not bad? Heck, in my early career, we couldn’t have done a foam-core mock up in that time frame.
One thought McCoy left us with. “We need to talk STEAM, not just STEM—science, technology, engineering, arts, math.” It is now possible for artists and designers to be an intimate part of the team going from art to finished product quickly. 3D printing from PLM files. Way cool.
How about a high school mechanical design student given a project to provide a lighter prosthetic foot for an Army vet? Humpton introduced 18-year-old high school student Ashley Kimbel who had undertaken just such a project. She worked with the veteran to analyze his current “foot” looking for areas where weight could be eliminated. Then she had to learn how to fabricate and manufacture the device. We saw films of the veteran running with Ashley proving out the new prosthetic.
This is a long way from projects I had as a 17-year-old senior. Education and technology have come a long way in a lifetime. Oh, and her future? She wants to work in bioengineering designing and 3D printing organs. She will be working on that during her tenure at UAB. She is going to make a difference for many people.
I have many more ideas and conversations to capture. This will serve for now.
Check out #SiemensInnovates
