by Gary Mintchell | Sep 25, 2019 | Data Management, Internet of Things, Manufacturing IT
DataOps—a phrase I had not heard before. Now I know. Last week while I was in California I ran into John Harrington, who along with other former Kepware leaders Tony Paine and Torey Penrod-Cambra, had left Kepware following its acquisition by PTC to found a new company in the DataOps for Industry market. The news he told me about went live yesterday. HighByte announced that its beta program for HighByte Intelligence Hub is now live. More than a dozen manufacturers, distributors, and system integrators from the United States, Europe, and Asia have already been accepted into the program and granted early access to the software in a exchange for their feedback.
Intelligence Hub
HighByte Intelligence Hub will be the company’s first product to market since incorporating in August 2018. HighByte launched the beta program as part of its Agile approach to software design and development. The aim of the program is to improve performance, features, functionality, and user experience of the product prior to its commercial launch later this year.
HighByte Intelligence Hub belongs to a new classification of software in the industrial market known as DataOps solutions. HighByte Intelligence Hub was developed to solve data integration and security problems for industrial businesses. It is the only solution on the market that combines edge operations, advanced data contextualization, and the ability to deliver secure, application-specific information. Other approaches are highly customized and require extensive scripting and manual manipulation, which cannot scale beyond initial requirements and are not viable solutions for long-term digital transformation.
“We recognized a major problem in the market,” said Tony Paine, Co-Founder & CEO of HighByte. “Industrial companies are drowning in data, but they are unable to use it. The data is in the wrong place; it is in the wrong format; it has no context; and it lacks consistency. We are looking to solve this problem with HighByte Intelligence Hub.”
The company’s R&D efforts have been fueled by two non-equity grants awarded by the Maine Technology Institute (MTI) in 2019. “We are excited to join HighByte on their journey to building a great product and a great company here in Maine,” said Lou Simms, Investment Officer at MTI. “HighByte was awarded these grants because of the experience and track record of their founding team, large addressable market, and ability to meet business and product milestones.”
To further accelerate product development and go-to-market activities, HighByte is actively raising a seed investment round. For more information, please contact [email protected].
Learn more about the HighByte founding team —All people I’ve know for many years in the data connectivity business.
Background
From Wikipedia: DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
DataOps incorporates the Agile methodology to shorten the cycle time of analytics development in alignment with business goals.
DataOps is not tied to a particular technology, architecture, tool, language or framework. Tools that support DataOps promote collaboration, orchestration, quality, security, access and ease of use.
From Oracle, DataOps, or data operations, is the latest agile operations methodology to spring from the collective consciousness of IT and big data professionals. It focuses on cultivating data management practices and processes that improve the speed and accuracy of analytics, including data access, quality control, automation, integration, and, ultimately, model deployment and management.
At its core, DataOps is about aligning the way you manage your data with the goals you have for that data. If you want to, say, reduce your customer churn rate, you could leverage your customer data to build a recommendation engine that surfaces products that are relevant to your customers — which would keep them buying longer. But that’s only possible if your data science team has access to the data they need to build that system and the tools to deploy it, and can integrate it with your website, continually feed it new data, monitor performance, etc., an ongoing process that will likely include input from your engineering, IT, and business teams.
Conclusion
As we move further along the Digital Transformation path of leveraging digital data to its utmost, this looks to be a good tool in the utility belt.
by Gary Mintchell | Sep 24, 2019 | Asset Performance Management, Automation, Internet of Things, Operations Management
Everyone touts Digital Transformation lately. Emerson Automation has been patiently building a Digital Transformation practice through acquisition and development. Executives announced advances at this year’s edition of Emerson Global Users Exchange—my second stop of the Fall Conference Tour. I see Emerson pulling away from many of its automation peers becoming part of a select group of suppliers putting it all together (the others being Siemens, ABB, and Schneider Electric / AVEVA).
I’m going to run through some of the more significant announcements from the press conferences so far this week.
New Digital Transformation Organization
Emerson has established a dedicated organization focused on digital transformation technologies and programs. The Digital Transformation business brings together resources to help manufacturers develop and implement pragmatic digital transformation strategies that deliver industry-leading, or Top Quartile, performance. The $650+ million business combines existing expertise in consulting, project execution, smart sensor technologies, data management and analytics – all part of Emerson’s Plantweb digital ecosystem. The organization will help customers not only establish a clear vision for digital transformation, but also execute and realize measurable results at each step of their journey.
“In a space inundated by confusing promises, Emerson helps customers define and execute a practical and successful path to digital transformation,” said Lal Karsanbhai, executive president of Emerson’s Automation Solutions business. “With our new Digital Transformation business, we are strategically focused on guiding customers to the right strategy, helping them drive improved organizational alignment, and implementing programs that accelerate improved business performance.”
“The industry is at a critical point in the digital transformation journey,” said Stuart Harris, group president for Emerson’s new Digital Transformation business. “Many companies have a vision but struggle to implement practical solutions that deliver results and therefore they are getting frustrated. Other companies are solving specific problems, but not realizing value at scale across the enterprise. Emerson has the technology to provide practical solutions, and the experience to define the best practices and roadmap to help make a broad operational impact.”
Existing and new Emerson resources comprising the business include:
- Operational Certainty Consulting: facility and enterprise-level roadmap strategies and implementation to improve reliability, safety, production and energy utilization metrics
- Operational Analytics: the industry’s most comprehensive portfolio of predictive diagnostics and advanced analytics, providing insights on health and performance of operational assets
- Industry Solutions: deep, industry-specific expertise on solutions to drive key performance indicators
- Pervasive Sensing: the industry’s largest portfolio of smart, easy-to-deploy, connected devices, including wireless instruments
- Project Management: best practices, tools and resources to implement a digital transformation project with confidence
Comprehensive Operational Analytics Portfolio
Emerson’s portfolio of operational analytics focuses on the greatest source of value for industrial manufacturers – the production itself. Operational analytics with embedded domain knowledge can impact and improve performance of simple equipment, complex assets and process units, and entire production plants.
“We recommend addressing the high impact, known problems first,” Zornio said. “By using proven models that make analytics accessible to the personnel responsible for the performance of assets, our customers can act quickly to solve problems faster. For example, Emerson’s solutions can detect and address 80% of the equipment failure modes contributing to production loss in a plant in real-time.”
Additionally, Emerson’s enhanced portfolio includes machine learning and artificial intelligence that can be used to identify new discoveries and deepen insight to impact business performance. These tools provide perspective previously unattainable with traditional analytics.
“With our acquisition of KNet and its integration into our Plantweb Optics asset performance platform, Emerson can provide not only some of the most advanced machine learning and AI tools in the industry, but also the connection to people and workflows, which are critical to digital transformation success,” Zornio said.
Emerson’s portfolio now provides both pre-packaged analytics solutions as well as a complete analytics toolbox for users to develop their own applications. This portfolio is supported by Emerson’s Operational Certainty consulting practice and robust data management capabilities that provide a foundation for analytics success.
AMS Asset Monitor increases visibility and adds predictive analytics
AMS Asset Monitor edge analytics device digitalizes essential asset data and analytics for better operations performance and improved decision making. AMS Asset Monitor provides actionable insights into essential
assets that were previously monitored only with infrequent assessments. The new edge analytics device will connect with Emerson’s Plantweb Optics asset performance platform to provide key operations personnel with instant asset health details for operations and maintenance decision making.
Plants typically monitor the condition of essential assets such as pumps, fans, and heat exchangers only every 30 to 60 days. The longer the gap, the more likely that a defect goes undetected and results in an unexpected failure with significant impact on production, product quality, and plant efficiency. The new AMS Asset Monitor combines easy deployment, embedded logic-based analytics, and intuitive health scoring to make it easier for organizations to monitor and maintain essential assets. For instance, AMS Asset Monitor’s analytics and visualization can help plant personnel effectively plan maintenance during scheduled shutdowns and turnarounds and reduce or eliminate unplanned downtime.
Unlike typical analytics devices that send data to a historian or the cloud to be processed later, AMS Asset Monitor provides analytics at the edge, performing calculations at the device. This device-centered analytics capability reduces the time, complication, and expense of adding analytics to a plant’s assets. Each device collects data continuously and uses embedded logic to identify and diagnose common reliability issues. Individual issues such as imbalance, misalignment, bearing faults, lubrication issues, or fouling are consolidated into an overall asset health score. AMS Asset Monitor then communicates these health scores via a web browser or—when integrated with Plantweb Optics—through real-time persona-based alerts on mobile devices. Plantweb Optics also enables enterprise-wide visibility and expands edge analytics and digital intelligence throughout the organization, keeping personnel aware of essential asset health.
“Plants are always looking for more ways to improve profitability by increasing productivity. Just a percentage point or two in availability can equal millions of dollars per year or more,” said John Turner product manager for online prediction, Emerson. “The AMS Asset Monitor enables personnel across the plant to see the current health of essential assets along with suggested actions to improve asset health. This allows them to make informed decisions to maintain reliability, increase uptime and maximize productivity.”
The AMS Asset Monitor’s small footprint along with wired or wireless Ethernet connectivity make it simple to install. The edge device can support new applications by simply adding new logic-based analytics.
Industrial Wireless Network Solution
Emerson is partnering with Cisco to introduce a next-generation industrial wireless networking solution. The new Emerson Wireless 1410S Gateway with the Cisco Catalyst IW6300 Heavy Duty Series Access Point combines the latest in wireless technology with advanced WirelessHART sensor technology, delivering reliable and highly secure data, even in the harshest industrial environments.
“A secure connection that scales easily is the foundation for every successful IoT deployment.” said Liz Centoni, senior vice president and general manager, IoT at Cisco. “By using the power of the intent-based network, Cisco provides a secure, automated, rock solid infrastructure helping IT and operational teams work together to reduce complexity and improve safety.”
This next-gen wireless access point provides enhanced wi-fi bandwidth necessary for real-time safety monitoring, including Emerson’s Location Awareness and wireless video. These applications enhance personnel safety practices, improve plant security and help ensure environmental compliance. A reliable and fast connection between devices and people streamlines decision making by providing real-time analytics. It also enables a mobile workforce to virtually come together, collaborate and resolve critical issues in a timely manner.
“Products installed in industrial plants need to last for years, even decades,” said Bob Karschnia, vice president of wireless at Emerson. “This kind of longevity was a critical design and engineering requirement to ensure this new wireless access point was future-proofed to meet a rapidly evolving technology landscape.”
Personalized Digital Experience
Emerson‘s new personalized digital experience – MyEmerson–connects people and technology through streamlined work processes and better collaboration. With a MyEmerson online account, users can access digital tools to quickly engineer solutions, manage software and installed assets, access training, collaborate with experts, streamline procurement processes, and improve visibility into buying history and trends.
“Driven by our personal interaction with digital technology, customers have new expectations today about speed and access to information,” said Brad Budde, vice president of digital customer experience, Emerson
Automation Solutions. “Our customers still want access to human expertise, but now expect a great digital experience as well. Combining these two experiences to deliver information immediately and use it to solve problems faster is what drives new business value.”
Digital engineering tools help engineers collaborate, gain confidence in an evolving industry, and streamline time-consuming manual processes. With online sizing, selection, and configuration tools for measurement instrumentation, valves, actuators, fluid control, pneumatic and electrical solutions, engineers can confidently and accurately specify solutions for their unique requirements and process conditions. By employing
digital tools, engineers can configure instrumentation up to 93% faster, typically saving over 100 engineering hours annually.
For procurement professionals, MyEmerson includes access to online purchasing and supplier management resources. Once solutions are selected and configured by engineering counterparts, the information moves seamlessly to the procurement team – eliminating the need for manual handoffs and duplicate entry of model codes. Procurement personnel can then create requisition lists, generate quotes and automatically populate purchase orders. With greater visibility to order status and order history, procurement teams have access to the information they need to drive more efficient processes.
The MyEmerson development roadmap will centralize the management of software, hardware and workforce upskilling. With easier access to technical documentation, easier identification of device location, and the ability to initiate repair, replacement or service as needed, organizations gain maintenance and turnaround planning efficiencies. By moving from manual management of disparate software applications, updates and
licenses, users will be able to actively operate and maintain their software portfolio through a single-entry point. Both hardware and software records will be tightly integrated to relevant training, enabling trackable and accessible information in the same experience.
by Gary Mintchell | Sep 11, 2019 | Internet of Things, Manufacturing IT
Major IT companies have been scrambling to compete in the Industrial Internet of Things market. The control, instrumentation, and automation companies all talk about how this is all stuff they’ve been doing for years, or even decades, this is really quite new.
The first IT company people I talked with talked about selling boxes—gateways or edge computing. I’m thinking that there’s not enough money in that market. And, I was right. As the companies flesh out their strategies, the IoT group leadership keeps moving higher up the corporate ladder. And the vision broadens to include much of the portfolio of the companies enabling them to progressively enhance their competitive positions within their major customers.
Hitachi Vantara has recently been talking with me about their approach to the problem. I learned about Vantara and its focus initially through people I knew who landed new positions there. Life is always about serendipity. In the past, I’ve reported on the Lumada platform and the way the company is building modularly atop it. There was Maintenance Insights and then Video Insights. Now unveiled is Manufacturing Insights. I will get a deeper dive and talk to customers the second week of October when I attend its customer conference.
Note that these applications have more in common with MES than what you might think of as simply connecting devices with IIoT. In other words, the value proposition and integration into the customer grows.
Let’s discuss the latest addition to the Hitachi Lumada platform, Manufacturing Insights, which the company describes as a suite of industrial internet-of-things (IoT) solutions that empower the manufacturing industry to achieve transformative outcomes from data-driven insights. Using artificial intelligence (AI), machine learning (ML), and DataOps, Lumada Manufacturing Insights optimizes machine, production, and quality outcomes.
“Data and analytics have the power to modernize and transform manufacturing operations. But for too many manufacturers today, legacy infrastructure and disconnected software and processes slow innovation and impact competitive advantage,” said Brad Surak, chief product and strategy officer at Hitachi Vantara. “With Lumada Manufacturing Insights, customers can lay a foundation for digital innovation that works with the systems and software they have already to operationalize immediate gains in uptime, efficiency and quality and transform for the future.”
Accelerate Manufacturing Transformations
Lumada Manufacturing Insights applies data science rigor to drive continuous improvement opportunities based on predictive and prescriptive analytics. The solution integrates with existing applications and delivers actionable insights without the need for a rip-and-replace change of costly manufacturing equipment or applications. Lumada Manufacturing Insights supports a variety of deployment options and can run on-premises or in the cloud.
“With Hitachi Vantara, our customers benefit from our deep operational technology expertise and distinctive approach to co-creating with them to accelerate their digital journey,” said Bobby Soni, chief solutions and services officer at Hitachi Vantara. “With our proven methodologies and advanced tools, we can tailor solutions for our customers that enhance productivity, increase the speed of delivery, and ultimately deliver greater business outcomes.”
Providing machine, production and quality analytics, Lumada Manufacturing Insights drives transformational business outcomes by enabling customers to:
• Build on the intelligent manufacturing maturity model and empower the digital innovation foundation for continuous process improvement.
• Integrate data silos and stranded assets and augment data from video, lidar, and other advanced sensors to drive innovative new use cases for competitive advantage.
• Drive 4M (machine, man, material and methods) correlations for root-cause analysis at scale.
• Evaluate overall equipment effectiveness (OEE) and enhancement recommendations based on advanced AI and ML techniques.
• Evaluate scheduling efficiency and optimize for varying workloads, rates of production and workorder backlogs.
• Monitor and guide product quality with predictive and prescriptive insights.
• Improve precision of demand forecast and adherence to production plans and output.
Customer Comments
I hope to get more depth while I’m at the Next 2019 user conference Oct. 9-10. Here are some supplied quotes.
“Significant short-lead products have to be designed, prototyped and delivered to meet the demands of our customers and partners as we accelerate the product supply for 5G. Ericsson and Hitachi Vantara have collaborated to test Lumada Manufacturing Insights to gear up for an anticipated increase in new product introductions, establishing a digital innovation foundation for sustained gains,” said Shannon Lucas, head of customer unit emerging business for Ericsson North America. “We are leveraging the same solution that we will take to our joint customers in partnership with Hitachi Vantara, and will further expand IIoT use cases based on our 5G technologies.”
“As a progressive manufacturer, our focus was to accelerate transformative change, eliminate data silos and build a foundation for digital innovation that would accelerate our journey toward Manufacturing 4.0. “We leveraged the IIoT workshop to align our use cases with our business transformation priorities and have a roadmap for success with Lumada Manufacturing Insights,” said Vijay Kamineni, business transformation leader at Logan Aluminum. “The collaboration with Hitachi Vantara enables us to define business goals for each stage of our transformation, with clear outcomes that we believe will accelerate gains in productivity, quality, safety and sustainable manufacturing. “Hitachi Vantara brings a unique IT/OT advantage that will help us in the long run.”
“Humans and machines working together to deliver the vision of ‘digital drilling’ is driven by our ambition to achieve transformative outcomes, drilling our best wells every time and consistently achieving Target Zero for accidents. With Hitachi Vantara, we are realizing time to value with industrial analytics and the powerful Lumada platform to process more than 20,000 data streams per second per rig, providing actionable information to the right people at the right time and helping make optimal decisions. This drives our operational excellence and consequently our competitive advantage,” said Shuja Goraya, CTO at Precision Drilling Corporation. “We’re leveraging insights from video and lidar, integrating it with Lumada Manufacturing Insights to deliver business outcomes. It’s driving process optimization through effectively identifying improvement opportunities and shortening well delivery times for our customers. It’s all about effective use of data to make better decisions and then being able to consistently execute on these learnings. We are excited about our strategic partnership with Hitachi Vantara.”
Availability
Lumada Manufacturing Insights will be available worldwide Sept. 30, 2019.
by Gary Mintchell | Sep 10, 2019 | Internet of Things, Manufacturing IT
Sean Riley, Global Director of Manufacturing and Transportation at Software AG, discussed Industrial IoT (IIoT) implementation in industry with me a couple of weeks ago. Now, a survey sponsored by Software AG has been released revealing that manufacturers are not scaling IIoT across the enterprise due to failure to invest in predictive analytics and innovative integration strategies.
The shocking thing to me about the survey is that it mirrors survey results over the past three or four years. Executives and managers recognize a problem further even acknowledging that this is something that could cost them competitively against the market even putting them out of business. Yet, they cannot figure out how to do it right. They whine about how tough it is.
Sounds to me like a new crop of leadership is needed.
There are good practices taught some 40 years ago when I took a deep dive while implementing my first IT project. Things like understanding the system first. Bringing all the departments in on the plans, work to be done, and benefits we all would get. Some recommendations from Software AG sound that familiar—breaking silos, bringing IT and OT organizations closer together (a management problem, not a technical one), transparency in the project roll out.
The survey of over 125 North American manufacturers primarily in the heavy industry and automotive sectors revealed inability to scale IIoT investments across their enterprises results in losing millions of dollars in potential profits.
The survey also revealed that the vast majority of manufacturers queried report that their IIoT investments are limited – locked in one small department or sector of their company – preventing these organizations from sharing the power of IIoT across their enterprises.
Other key findings include:
- 80% of all survey respondents agree that processes around IIoT platforms need to be optimized or they will face a competitive disadvantage but very few are doing this
- IT-OT integration is considered one of the most difficult tasks – with 57% of automotive manufacturers stating that this has prevented them from realizing full ROI from their IIoT investments
- 84% of automotive and heavy industry manufacturers agree that the most important area of IIoT is “monetization of product-as-a-service-revenue.” However, optimizing production is still important with 58% of heavy industry and 50% of automotive manufacturers agreeing with that statement
- Curiously, defining threshold-based rules is considered almost as difficult as leveraging predictive analytics to scale IIoT. More than 60% of respondents stated that defining threshold-based rules was as difficult as integrating IT systems and IoT sensors into existing control systems.
“Manufacturers place a high value on IIoT, but they are encountering serious difficulties in unlocking the complete intended value to unleash their innovation across their organizations,” said Riley. “Fortunately, there is a way for them to quickly and easily resolve this problem. By investing in the right IT-OT integration strategy that leverages sensors, predictive analytics, machine learning, control applications, and product quality control, manufacturers can fix this problem in less than 6-12 months while realizing other key benefits, namely extended equipment lifetime, reduced equipment maintenance costs and accessing more accurate data for production-quality improvements.”
Riley outlined five best practices for manufacturers to follow when looking to scale their IIoT investments across their enterprises and realize immediate profits and competitive advantage. Those best practices are:
1. Ensure clear collaboration between IT and the business by leveraging a step by step approach that starts focused and has clear near term and long- term objectives to scale
2. Create a transparent roll out process and don’t let other plants or departments move ahead outside of it
3. Give IT the ability to connect at speed with a digital production platform that is proven to be successful
4. Leverage a GUI driven, consistent platform to enable an ecosystem of IT associates, business users and partners around the platform
5. Enable the plant or field service workers to work autonomously without continual support from IT through GUI driven analytics, centralized management and easy, batch device connectivity and management
Riley also stated that it is critically important for manufacturers to select the best possible IIoT integration platform supported by key enabling technologies like streaming analytics, machine learning, predictive analytics and a larger ecosystem. Software AG’s Cumulocity IoT platform recently received the highest use case scores from Gartner Group in the brand new “Critical Capabilities for Industrial IoT Platforms” report which included Monitoring Use Case, Predictive Analytics for Equipment Use and Connected Industrial Assets Use Case for its IoT.
The Software AG IIoT Implementation survey was completed in Q2 2019 by Software AG and an independent third-party research house. The survey queried nearly 200 respondents at large manufacturing companies across automotive, heavy industry, high-technology, electronics, pharmaceutical and medical device industries. The respondents were primarily senior executives leading Manufacturing or Information Technology with the breakdown of 50% Managers, 38% Directors and 13% Vice Presidents or higher.
Software AG product
The press release contained some information about the company’s IoT platform—Cumulocity.
Being device and protocol agnostic allows it to connect, manage, and control any “thing” over any network. Cumulocity IoT is open and independent, letting customers connect to millions of devices without being locked into one single vendor.
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 | Aug 22, 2019 | Internet of Things, Manufacturing IT, Podcast
Podcast 194 of my long-running series—Beware Hype of OT and IT
Platforms come and go–sometimes quickly with turns in technology. IoT platforms were all the rage. Just like IT/OT Convergence and other hyped tech. But engineers are quietly working together to apply the technologies to solve business and industrial problems. Don’t watch the hype. Notice when everyone is using it.
This podcast is sponsored by Ignition from Inductive Automation.
