by Gary Mintchell | Mar 17, 2017 | Automation, Data Management, News, Organizations, Process Control, Technology
ABB CEO Ulrich Spiesshofer
ABB held its customer conference in Houston this week and showcased many new products and unveiled its digital enterprise platform ABB Ability.
ABB Ability is the name given to its portfolio of digital solutions. I was trying to place it into a competitive landscape when one speaker showed a slide positioning ABB Ability with GE Predix, Siemens Mindsphere, and Schneider Electric’s Ecostruxure. CEO Ulrich Spiesshofer likened it to putting all the Lego blocks of ABB’s digital offerings together.
ABB Chief Digital Officer Guido Jauret
ABB Ability is a platform, database, and analytics that allows such things as helping customers in utilities, industry, transport and infrastructure develop new processes and advance existing ones by providing insights and optimizing planning and controls for real-time operations. The results can then be fed into control systems to improve key metrics such as factory uptime, speed and yield.
“As a pioneering technology leader in digital solutions, with an installed base of more than 70 million connected devices and 70,000 control systems, ABB is uniquely positioned to support its customers’ digital transformation,” said Spiesshofer. “With ABB Ability, we are combining ABB’s entire portfolio of digital solutions and services. We are creating additional customer value by bringing together ABB’s domain expertise, advanced connectivity and the latest digital technologies. With this, our customers can achieve unprecedented improvements in operational performance and productivity.”
Digital offerings provided by ABB Ability include performance management solutions for asset-intensive industries; control systems for process industries; remote monitoring services for robots, motors and machinery; and control solutions for buildings, electric-vehicle charging networks and offshore platforms. Some of the more specialized offerings address energy management for data centers and navigation optimization for maritime shipping fleets, among many others.
Customers who are already using the portfolio of digital solutions that are now part of ABB Ability include some of the world’s leading utilities, manufacturers and service providers, among them Shell Oil, CenterPoint Energy, Con Edison, BASF, Royal Caribbean, Cargill, Volvo, BMW and many others.
“Building our solutions on the Azure platform means we can take advantage of all of its capabilities and add value with our domain-specific offering,” said ABB Chief Digital Officer Guido Jouret. “In effect, we are turning ABB’s decades of industrial domain expertise into software offerings that our customers can access through the world’s largest and most advanced digital platform. From being a hidden digital champion, we are becoming the partner of choice for customers embarking on a digital transformation. They can now know more, do more, do better, together. We can help them assess, automate, optimize and collaborate.”
This product was the coolest thing at the show for me. It is ABB’s take on the trend toward smaller I/O devices with configurable racks. Admittedly not having first-mover advantage, ABB was able to build on existing competitive offerings and release an updated take on the technology.
ABB Ability System 800xA Select I/O, a new addition to System 800xA, is a redundant, Ethernet-based, single-channel I/O system. It supports ABB’s next-generation project execution model, Intelligent Projects, which offers a range of efficiency improvements for automation projects. With Select I/O, customers can undertake major projects on a faster schedule with fewer cost overruns. It uses standardized cabinets that allow installers to digitally marshal signals instead of using labor-intensive marshalling panels. Loop checks can be done before the rest of the system is delivered, minimizing the impact of late changes and allowing for project tasks to be executed in parallel.
ABB Ability Asset Health Center – Among the first ABB Ability solutions to be launched on Azure is ABB’s next-generation asset performance management solution, Asset Health Center 3.0. Available since January 2017, it uses predictive and prescriptive analytics and customized models to identify and prioritize emerging maintenance needs based on probability of failure and asset criticality.
ABB Ability Collaborative Operations – This powerful solution, now being brought to scale across industries, helps customers collaborate more effectively. It allows experts to work together across organization boundaries, using the same data and analytics platforms. It focuses on such outcomes as improving productivity, reducing equipment failures, lowering the cost of asset maintenance and transforming overall business performance. This is done while maximizing security and protecting data, people and assets at every level of integration. The solution has been delivering sustainable, long-term results to early adopters.
ABB Ability Digital Substation – ABB’s digital substation provides customers in the utility sector with unmatched control and efficiency. The digital substation incorporates fiber optic current sensors and disconnecting circuit breakers to reduce maintenance requirements and the need for miles of conventional cabling. ABB Ability takes these advances several steps further by combining the latest electrical gear with digital sensors and cloud computing. The result is that grid operators can make decisions based on comprehensive, up-to-the-moment information, while predictive algorithms can improve maintenance practices and asset management.
ABB Ability Smart Sensor – This smart sensor solution, unveiled last year, connects low-voltage electric motors to the Industrial Internet, allowing them to be monitored continuously. The solution, which can be easily affixed to a motor, transmits data on vibration, temperature, loads and power consumption to the cloud. Alerts are generated as soon as any of the parameters deviates from the norm, allowing the operator to take preventive action before the motor malfunctions. Early indications are that the smart sensor solution leads to a reduction in downtime of motors by up to 70 percent and extends their lifespan by up to 30 percent. Acting on the data to optimize the motor’s performance reduces energy consumption by as much as 10 percent.
by Gary Mintchell | Jan 10, 2017 | News, Organizations
There is plenty of time to register for the 21st Annual ARC Industry Forum Industry in Transition: Realizing the Digital Enterprise February 6-9, 2017 – Orlando, Florida. I can’t believe that this will mark my 20th trip to Orlando this time of year.
While in many ways this is an ARC Advisory Group “user group” meeting, almost everyone shows up. For several years now this is the one place where you can go and talk with people from many automation suppliers. And with many engineers and managers who implement and manage automation and information.
You can come to make contacts or pick up on the latest trends.
As for me, I will be looking for new companies and products, a sense of the industry’s direction, and contacts who are looking for someone to help them with things I can assist with—strategic messaging, advice on status of industry and companies, product development ideas. It will also be interesting to get an update on the ExxonMobil attempt to commoditize the DCS (I presume so that it can catch up to peers in modernizing operations). That effort has quieted during the past few months.
ARC tries very hard to limit presentations by suppliers. As technology developers, suppliers can be a source of great information. Unfortunately most of the suppliers have used the Forum in the past to simply promote their company and products. No one is paying to attend a forum to hear from marketing managers. Now if a few people from the CTO’s office spoke…
The comments below are taken from the latest ARC promotion. I see only one supplier listed in the speaker lineup so far.
Industrial companies are starting to employ ‘digitalized’ business processes and exploit the increasing convergence between operational technology (OT), information technology (IT), and engineering technology (ET) on the plant floor. How will disruptive technologies change existing products and plants? How will open source solutions impact traditional software and automation domains? Is cybersecurity a threat to digitalization? How ‘smart’ are smart machines? How do Big Data and predictive and prescriptive analytics enable operational change?
Join us to learn how the digital enterprise benefits from smarter products, new service and operating models, new production techniques, and new approaches to design and sourcing.
Check out these topics:
- Industrial Cybersecurity and Safety Analytics and Machine Learning
- Asset Performance Management
- IT/OT/ET Convergence
- Service Performance Management
- Automation Innovations
- Industrial Internet Platforms
- Connected Smart Machines
Partial List of Executive Speakers:
- S. Dept. of Homeland Security, Marty Edwards, Director ICS Cyber Emergency Response Team
- ExxonMobil Research & Engineering, Don Bartusiak, Chief Engineer, Process Control
- NOVA Chemicals, Doug Lutz, Principal Process Automation Engineer
- Savannah River Nuclear Solutions, Laura Sheets, Tritium Process Control Lead Engineer
- Local Motors, Justin Fishkin, Chief Strategy Officer
- NIST, Adam Sedgewick, Sr. Information Technology Policy Advisor
- Duke Energy, David Lawrence, Technology Development Manager, Emerging Technology
- Merck, Gene Tung, Director of IT
- WAGO, Thomas Holm, Head Innovation & Technology
- Eli Lilly, Kevin Wilhelm, Senior Consultant
- Ascend Performance Materials, Terry Unruh, Maintenance Process Leader
- Kinder Morgan, Lawrence Staab, Training Coordinator/Instructional Designer
- Georgia-Pacific, Michael Carroll, VP Innovation and Operations Excellence
- 3M, Liu Qiao, Technical Director, Software Electronics Mechanical Systems Lab
- Dow Chemical, Glen Mutscher, Global Director, Manufacturing & Engineering
- ExxonMobil Research & Engineering, Steve Bitar, R&D Program Manager
- American Society of Mechanical Engineers, Dean Bartles, Sr. Technology Advisor
- Dow Chemical, Mary Beth Seasholtz, Data Services Technical Leader
- Fluor, David Hoeppner, David Hoeppner
- Shell Global Solutions, Tyler Williams, Global Technology Leader
- Massachusetts Institute of Technology, Stuart Madnick, Professor of Information Technologies and Engineering Systems
- Albermarle, Jonathan Alexander, Operations Engineer
- AGCO, Jan Theissen, Director Strategy & Methods, Global Purchasing & Materials
- Pepsi Beverages, Jeff Russell, SE Regional Engineering Manager
by Gary Mintchell | Nov 22, 2016 | Automation, Manufacturing IT, Networking, News, Technology
Last week was GE Digital’s Minds + Machines Conference in San Francisco. This Industrial Internet (or Internet of Things to the rest of us) gathering showcases the latest of GE’s digital portfolio–including GE Automation and Control (the successor to GE Intelligent Platforms, successor to GE Fanuc Automation, whew).
Jim Walsh
Rich Carpenter
I tried to arrange my schedule to make it out there, but there had been too many trips in Sept., Oct., and Nov. for my time and expense budget to make it. So, we had a conference call meeting with Jim Walsh, President and CEO of GE Automation & Controls, and Rich Carpenter, Product GM of Control Platforms also at GE Automation & Controls. We talked about the Industrial Internet, digitalization, and new products.
Included in my news below are additional news from the M+M event including acquisition and product news.
The point most interesting was Walsh and Carpenter discussed the edge device of the network as the controller (PLC). (See the graphic) Almost all of the other companies I talk with are developing an edge device separate from the controller. Carpenter described the closed loop control as “see-think-do”, and then the Industrial Internet plus Predix (GE’s cloud-enabled software product) analytics adds an “optimize” loop to the controller. It can then reflect back on experience and make changes as necessary.
Take for example large pumps in a water/wastewater application. They, of course, are energy consumers. By adding analytics from Predix, the controller could be modified to operate in a more energy efficient manner. One example proved out a $1.5 million per year savings. Another benefit is productivity improvements which Walsh said they had witnessed personally. They referred to the Industrial Internet Control System (IICS), which I will discuss later [Note: much like my Automation Fair update, this one will be long, because there is so much.]
And now, on to the news.
- GE releases new suite of Predix applications and services; introduces the Predix System
- Acquisition of Bit Stew Systems enables efficient data ingestion for industrial applications
- Acquisition of Wise.io strengthens machine learning and data science capabilities for Predix and enables enhanced Digital Twin development
- Meridium acquisition places GE in the lead for Asset Performance Management app development; acquisition of ServiceMax positions GE to lead in service transformation
- Ecosystem expands with independent software vendor program to speed industrial application development; more than 19,000 developers now building on Predix
- Digital orders on track to exceed $7B, a growth of 25%+ in 2016
- Digital thread productivity exceeds $600 million and accelerating into 2017
In 2016, orders from GE’s portfolio of software solutions are on track to climb 25%+ to more than $7 billion. Demonstrating the strength of Predix within GE, digital thread productivity will exceed $600 million, accelerating into 2017.
“The opportunity for industry is now,” said Bill Ruh, Chief Digital Officer of GE and CEO, GE Digital. “The Industrial Internet is profoundly transforming how we operate and our ability to deliver greater productivity for GE and for our customers. Connected machines, coupled with deep machine learning, are more powerful than anything we have seen. These strategic investments in both the Predix platform and our partners continue to attract industrial companies and provide them with tools they need to embark on their own digital industrial transformations.”
EXTENDING PREDIX FROM THE EDGE TO THE CLOUD
GE unveiled a new suite of software and applications.
This release will focus on expanding the platform and scaling development of Digital Twins – virtual representations of physical assets that comprise the world’s industrial infrastructure – through Predix apps and toolkits.
This new set of components can run on a variety of operating systems, devices and form factors – from sensors and controllers to gateways, server appliances and the cloud – making Predix a distributed system for the Industrial Internet and a complete “edge-to-cloud” offering.
GE also launched new Predix-based solutions, designed to help customers harness the power of the Industrial Internet:
Current, designed to analyze and optimize energy use and operational efficiency use across lighting, HVAC and other systems.
Digital Substation, extends maintenance optimization to the electricity grid.
Health Cloud, Cloud-enabled patient outcomes are linking clinical feedback to transformative radiology pathways.
Predictive Corrosion Management, a new Asset Performance Management (APM) solution that provides continuous inspection data and cloud-based analytics of pipe conditions to help operators manage corrosion-related risk.
Digital Power Plant software for gas, steam and nuclear plants, which features new tools to help customers reduce unplanned downtime by up to 5%, reduce false positive alerts by up to 75%, and reduce operations and maintenance costs by up to 25%.
Digital Hydro Plant, a suite of apps combining both software and hardware solutions designed to support Hydro customers globally, helping them get the most out of assets over the lifetime of a plant.
ACQUISITIONS
GE Digital announced it has acquired Bit Stew Systems to bring its data intelligence capabilities to Predix and other industrial solutions. Bit Stew applies its machine learning and artificial intelligence (AI) capabilities to automate the process of data modeling, mapping and ingestion, accelerating time to value for customers, such as BC Hydro, Pacific Gas & Electric and Scottish & Southern Energy. This acquisition will help GE Digital provide a solution to organize large amounts of data through efficient data organization at the edge or at the source of the data – the asset.
GE Digital also acquired Wise.io, a leading machine learning and intelligent systems company. This acquisition will enable GE Digital to further accelerate development of advanced machine learning and data science offerings in the Predix platform. The Wise.io team deepens GE’s machine learning stack and will spearhead innovative solutions in GE’s vertical markets to develop its machine learning offerings.
GE also announced a program dedicated to independent software vendors (ISVs), aimed at spurring development of industrial solutions and extending the reach of the Predix platform. Through these partnerships, GE will share its industry expertise and allow partners to use Predix as the building block for new industrial applications to enhance various components of industrial operations – such as maintenance, content development and asset management.
Inaugural launch partners include: Box, Decisyon App Composer, Entercoms, Ericsson, Mobideo, Nurego, OAG Analytics, Pitney Bowes and Splunk. The addition of ISVs enhances the growing ranks of the GE Digital Alliance Program, which launched in February. The alliance program now boasts more than 270 partners around the world, including major enterprise players such as AT&T, EY, Intel, Microsoft and Tata Consultancy Services (TCS).
GE’s Industrial Internet Control System
GE’s Automation & Controls business introduced GE’s new Industrial Internet Control System (IICS) at its 2016 Connected Controls Symposium at the company’s Global Research Center in Niskayuna, NY. IICS delivers new levels of productivity for industrial assets and processes by integrating controls with Industrial Internet analytics – at scale yet modular and flexible for industrial settings worldwide.
Early IICS adopters report a +7% gain in asset performance and 22% increase in efficiency. By leveraging GE’s deep domain and controller expertise, the IICS solution empowers customers to improve operational efficiency, optimize production and unlock new revenue opportunities.
The system utilizes GE’s Field Agent technology as the gateway between the asset and the Industrial Internet. Field Agent provides a rugged, pre-configured solution for secure data collection and conveyance from the machine to fuel analytics that improve operations.
GE’s Industrial Internet Control System also includes:
- Industrial Cloud Platform – Provides real time process optimization and control; minimalizes disruption to deployed application; Creates new value over time without having to retrofit
- Secure Cloud Connectivity – Predix ready; Provides secure data collection; Enables advanced analytics; Form factors to meet the need
- Outcome Optimizing Controllers – Real-time control; Defense in-depth security; Decreases time to market; Helps reduce unplanned downtime and enhance system performance
- Mix & Match I/O – Remote, real-time diagnostics; Wide range of communication options; Modularity-simple scalability; Drives improved availability and simplified maintenance
- Professional Services – Real Time control; Security at its core; Decreases time to market; Helps reduce unplanned downtime and enhance system performance
- Intelligent Apps – Real Time Control; Security at its core; Decreases time to market; Helps reduce unplanned downtime and enhances system performance
IICS features dual or quad core configuration which provides safe and secure communication with either cloud-based or locally hosted algorithms and applications.
Two structural innovations make the new solution “future proof” for customers, who want hardware assets to be long-lived but remain optimally functioning.
- Industry-first Hypervisor control technology that separates operations from software so that the software can be upgraded without affecting the physical controller, allowing the hardware to stay in place and up to date.
- ComExpress processor technology that allows the processor to be updated as needed, again without replacing the controller. This is critical to support the growing computational power available from the Industrial Internet, including GE’s Digital Twin predictive model for optimizing assets with minimal interruption.
by Gary Mintchell | Sep 15, 2016 | Asset Performance Management, News, Operations Management
While checking emails walking the IMTS show floor, I found one announcing GE Digital announced acquisition of Meridium, a supplier of Asset Performance Management (APM) software. Leveraging the Industrial Internet of Things for asset performance has been GE’s goal from the beginning, so this one makes sense.
The goal of the combination includes providing a solution to customers that unifies real-time analytics with reliability-centered maintenance best practices. Meridium customers will gain access to GE’s deep domain expertise in real-time data management and advanced industrial analytics.
In July 2014, GE made an initial investment in Meridium for a 26 percent stake in the company. The total acquisition, inclusive of the original investment, was executed for an enterprise value of $495 million.
Leveraging the Predix platform, GE’s APM offering helps deliver on the promise of the Industrial Internet by enabling industrial companies to maximize the reliability and availability of their industrial assets, while minimizing operational cost and risk. APM powered by Predix combines GE’s broad expertise in advanced asset-centric analytics, industrial software and value-added services to offer a unique and complete solution, helping customers deliver targeted asset uptime and performance.
The addition of Meridium’s enterprise software solutions brings additional capabilities and processes focused on asset-centric industries – such as oil & gas, power and chemicals – that complement GE’s existing offerings. The combination of the companies’ technologies helps strengthen the connection between real-time asset performance and reliability-centered maintenance strategies and work processes.
“As we forge ahead in the Industrial Internet journey, APM is clearly the first application that can leverage the Predix platform to help industrial customers benefit from increased productivity,” said Bill Ruh, CEO, GE Digital. “With Meridium joining the GE Digital family, we can immediately complement our existing portfolio with the Meridium expertise in cognitive analytics, reliability centered maintenance, operational risk management and asset health, as well as intelligent asset strategies. Meridium also has a mature software development culture, which will help us enhance our bench of deep technology talent.”
“This move gives Meridium access to GE’s substantial industrial portfolio – and provides a deeper connection to core industrial businesses and GE’s depth of domain expertise in the Industrial Internet,” said Bonz Hart, Founder and CEO, Meridium. “We are excited to join GE Digital and expand Meridium’s capabilities into more industries.”
After GE’s initial investment in Meridium, this acquisition is a natural step in the relationship. As a key area GE Digital plans to expand rapidly on Predix, Meridium’s APM products are already integrated into the Predix platform. The transaction is complete.
by Gary Mintchell | Oct 7, 2015 | Asset Performance Management, Internet of Things, Operations Management, Technology
UPDATED: Carpenter’s title changed after I wrote this. Also GE Intelligent Platforms is now called GE Digital.
GE now bills itself as the “digital industrial” company. It has realized the benefits of technologies such as the Watchdog Agent developed by the Center for Intelligent Maintenance Systems for monitoring and prognostics and the Industrial Internet of Things within its own manufacturing processes—especially aircraft engines.
Evidently it now all starts with the “digital thread.” To understand what was meant by this term, I was chatted with Rich Carpenter, Chief of Strategy Technology Strategist for GE Intelligent Platforms Digital.
I asked if this was essentially just a marketing term. “The digital thread is a way to describe a concept,” he told me. “People have become good at “leaning” out the manufacturing process. Now we are leaning out the entire new product introduction cycle. They are optimizing to the end of the path from design to engineering. Closing that loop and carrying forward to manufacturing.”
Companies have accumulated big data infrastructures, so they are also leaning out interactions between digital silos by managing the data flows. This enables remote diagnostics.
Carpenter also mentioned a process I’m beginning to hear around the industry. First you connect things—people, sensors, machines. Then you collect and analyze the data you get from the process. Finally given all this, you can begin to optimize the process.
Official word
Here is a definition from GE, “While the Industrial Internet may be unchartered territory to some manufacturers, early adopters are starting to understand the benefits of the ‘Digital Thread – a web of data created the second they initiated their Industrial Internet journey. The digital thread is the result of several advanced manufacturing initiatives from the past decade, creating a seamless flow of data between systems that were previously isolated.
“This data is essentially the manufacturing health record, which includes data from everything to operator logs to weather patterns, and can be added to as needed. For example, you could compile the digital threads across multiple plants to get a full understanding of the efficiency and health of particular processes and product lines. This record provides data context and correlations between downtimes and outside factors, allowing operators to be proactive in their maintenance strategies.”
Health
I especially appreciate the term “manufacturing health record.” That’s a term Jay Lee at the IMS Center used often in the first phase of prognostics and the Watchdog Agent—a consortium that GE played an active part in.
Digital twin
We’ve heard of cyber-physical systems, and then Industry 4.0 which is a digital manufacturing model based upon it. Now we have a new term, “digital twin” which Carpenter says is a new way to describe a real world physical asset. Then, trying to optimize it, we’ll create a digital representation—a model based on statistics or physics. We run the model, then apply successes of the simulation in the real asset. Then feedback the information.
News release predictive analytics
GE held a conference in September that I could not attend. So, I talked with Rich Carpenter and some marketing people and obtained these press releases. These technologies and applications reveal where GE is heading as a Digital Industrial Company—and where it can take its customers, as well.
GE’s predictive analytics solution, SmartSignal, will be available as part of GE Digital’s Asset Performance Management (APM) solutions on the Predix platform, the purpose-built cloud platform for industry. SmartSignal powered by Predix will deliver anomaly detection with early warning capabilities that is SaaS-based and therefore at a lower cost and at a higher speed, making it accessible to a broader range of distributed equipment.
“Until now, advanced equipment monitoring and predictive anomaly detection capabilities have only been available to enterprises with significant resources, both in terms of machinery expertise and capital,” said Jeremiah Stone, General Manager, Industrial Data Intelligence Solutions for GE Digital. “Because of this, insight gained through predictive analytics has been limited to high value assets due to these cost and knowledge barriers.”
Companies see condition-based maintenance as a means to cut existing operations & maintenance costs. With SmartSignal powered by Predix, they will be able to capitalize on cloud and Big Data platforms to drive more efficient and productive operations.
“There is an unmet need in the industry for a cloud platform that supports the unique requirements of industrial data and operations,” said Harel Kodesh, Chief Technology Officer and Vice President & GM of Predix. “GE Predix is the first cloud platform to meet these demanding requirements. By leveraging GE’s deep domain expertise in information technology and operational technology, Predix provides a modern cloud architecture that is optimized for operational services like asset connectivity, managing and analyzing machine data, and industrial-grade security and regulatory compliance.”
Today, SmartSignal technology provides early warning detection for more than 15,000 critical assets in customer operations. According to May Millies, Manager of Power Generation Services, Salt River Project, “SmartSignal has us listening to the right data and using that data to impact our work operations.” Salt River Project provides reliable, reasonably priced electricity and water to more than two million people in Central Arizona. Integrating data to improve visibility into operations was a key to maintaining their standing with customers. “Now that we have realized the incredible performance of the software and how strong and robust it is, we are improving asset utilization across the enterprise.”
Brilliant manufacturing
In a second announcement, GE announced the next version of its Brilliant Manufacturing Suite. Field-tested and optimized within GE’s own factories, the suite maximizes manufacturing production performance through advanced real-time analytics to enable all manufacturers to realize GE’s Brilliant Factory vision.
“Today’s demands on manufacturers are driving an unprecedented rate of change, innovation and agility,” said Jennifer Bennett, General Manager for GE Digital’s Manufacturing Software initiatives. “Manufacturers are challenged to decide what to build, how to build it, where and when to build it, and how to efficiently maintain it. We believe that the key to optimizing the full product life cycle from design to service is through analytics of data that has been traditionally locked inside corporate silos.”
GE’s Brilliant Manufacturing Suite allows customers to begin to realize their own vision of a Brilliant Factory. Integrating and aggregating data from design to service and leveraging analytics to support optimal decision-making allows manufacturers to drive improvements in end-to-end production. Analyzing data in context and providing the right information at the right time allows for better decision support throughout the manufacturing process. Data-driven analytics encompassing machines, material, people and process will transform the factories of today into Brilliant Factories.
GE’s next generation Brilliant Manufacturing Suite includes:
- OEE Performance Analyzer – available for early access today, it transforms real-time machine data into actionable production efficiency metrics so that Plant Managers can reduce unplanned downtime, maximize yield and increase equipment utilization.
- Production Execution Supervisor – digitizes orders, process steps, instructions and documentation with information pulled directly from ERP and PLM systems. Factories are able to ship higher quality products and deliver new product introductions faster by getting the right information in the right hands to focus on the highest priority manufacturing tasks.
- Production Quality Analyzer – real-time identification of quality data boundaries that catch non-conforming events before they occur. Quality engineers can analyze this information to identify patterns and trends that enable factories to ship higher quality products faster.
- Product Genealogy Manager – builds a record of all personnel, equipment, raw materials, sub-assemblies and tools used to produce finished goods. Service personnel can respond to customer and regulatory inquiries with confidence, knowing who, what, when, where and how for an individual shipment.
