Enhanced Asset Insights Drive Targeted Production Improvements

Enhanced Asset Insights Drive Targeted Production Improvements

Asset performance management joined the Industrial Internet of Things as a key topic at the 2015 ARC Forum in Orlando. Here is a release from Meridium that reflects many of the trends—data collection, analysis, configurable display, mobility.

Meridium Inc., global supplier of asset performance management (APM) software and services, announced the availability of Asset Answers V2.0. The company claims this as the only cloud-based asset performance diagnostics solution that provides comparative analytics, delivering instant visibility into asset data, and supplying organizations with the insights to drive safer, more informed, and more profitable decisions.

Asset Answers 2.0 delivers next-generation APM insights into industrial assets and their health and overall performance, an improved user interface that includes dashboards and enhanced mobility on a variety of handheld devices that provides true anywhere/anytime availability. Since the introduction of Asset Answers to the market, more than 130 sites in the Petrochemicals, Oil & Gas, Power & Utilities, and Manufacturing industries rely on Asset Answers to support continuous improvement initiatives with the ultimate goal of achieving operational excellence.

For example, Dow Chemical was able to collect and analyze reliability audit report data for 25 production units across 4 plants in less than 1 day, saving 175 man-days of effort and remain focused on cost, availability, and reliability optimization for the company. Another Asset Answers client, Profertil, reduced costs for 30 straight months and was able to readily identify and highlight savings of $900,000 and counting.

According to Roy Whitt, Senior Vice President and General Manager for Asset Answers, “For organizations in asset-intensive industries, Asset Answers 2.0 uncovers the true cost, reliability and availability of asset groups and individual pieces of equipment with the click of a mouse. Subscribers can easily view performance criteria across sites and benchmark themselves anonymously against global industry peers. Combining data mining and preconfigured metrics, reliability engineers can investigate equipment data to identify assets that represent the best opportunities for improving maintenance costs and reliability. With access to the objective truth about asset performance, management can act with confidence to intelligently cut costs while increasing production, especially in times of shrinking margins.”

Asset Answers can identify and evaluate better performing equipment manufacturers and highlight predominant failure modes for specific equipment models. With this analysis, Asset Answers also can create opportunities for equipment improvements and automatically track the savings these improvements have provided.

Whitt also added that, “Asset Answers uses comparative analytics or ‘intelligent benchmarking’ that enables organizations to conduct ‘apples to apples’ comparisons of industrial equipment in production units across multiple plants within an organization. That same information helps organizations compare the relative performance of their assets against industry peers to gain a deeper understanding and a competitive advantage, optimize total cost of ownership (TCO) for critical assets and make better asset purchasing decisions.”

This approach both improves collaboration between Reliability, Engineering & Maintenance and also enables continuous and systematic improvement of operations and production output over time. Benefits of Asset Answers 2.0 include:

  • A proven, systematic and secure approach to continuous improvement and Operational Excellence
  • Improved plant and operator safety
  • Mitigated operational and financial risk
  • Improved insight into non-financial performance
  • Lower asset total cost of ownership (TCO)

 

 

Enhanced Asset Insights Drive Targeted Production Improvements

Predictive Condition Based Maintenance

Phys Asset Reliability GE ImagePredictive technology in the asset performance arena seems to be the trend of the week. I wrote yesterday about a solution. Today brings another announcement. I think I’ll learn more about this one next week at the 2015 ARC Forum in Orlando. (By the way, if you’re there, please look me up.)

The headline for this article came from GE. I’ve heard of predictive maintenance (which many aspire to and few achieve) and condition-based maintenance (similar but, I guess, different). Here they combine the two. Check it out and let me know what you think.

GE’s Measurement & Control business and Meridium Inc. introduce Production Asset Reliability (PAR), an integrated Asset Performance Management (APM) offering for an all-in-one view of equipment health. Combining GE Measurement & Control’s System 1 condition monitoring and diagnostic applications with Meridium’s suite of enterprise performance management and asset strategy solutions, PAR provides a holistic and quantifiable view of operations, maintenance, availability and overall operating performance for production assets.

System 1, GE’s patented condition monitoring software, helps users quickly diagnose potential equipment and instrument health issues which can lead to equipment failure. Meridium’s applications provide structured processes and analytics to identify critical assets and failure modes, calculate equipment reliability and determine downtime impacts. The integrated PAR solution provides an end-to-end process that connects the machine diagnostics to the business context and execution to drive optimized maintenance practices and production loss management for all asset-intensive industries.

“Today’s measurement, monitoring and management systems are disconnected, and, as a result, organizations fail to leverage quality data for actionable insights,” said Art Eunson, general manager for Bently Nevada, GE Measurement & Control, a GE Oil & Gas division. “GE and Meridium’s integrated PAR offering empowers our customers with the ability to connect identification, evaluation and execution for greater asset optimization and productivity.”

Asset intensive organizations are challenged to maximize production, minimize costs, follow regulations and manage risk. To balance the demanding requirements, operators require a more cohesive system that assesses equipment performance and manages the resulting data. GE and Meridium provide this comprehensive solution for customers to effectively measure, monitor and manage each connected asset.

“With greater availability of big data and connected assets, there is an end-to-end picture of plant operations waiting to be tapped by organizations from the plant floor to the corporate office in order to stay competitive on a global scale,” said Bonz Hart, Meridium Founder and CEO. “PAR measures performance, quantifies risk and delivers analytics in real-time, providing customers with the insight needed to effect real change, improve efficiency and reduce maintenance costs.”

The Oil & Gas industry demand solutions that can grow with business demand and adapt rapidly to changing technical environments. That is why GE’s industrial solutions such as System 1 are standardizing on GE’s software platform for the Industrial Internet, Predix.

Enhanced Asset Insights Drive Targeted Production Improvements

Basic Machinery Health Prediction Data Available For More Assets

Emerson CSI 6500 Machinery Health ManagerHere is a product release in the area of critical asset management. Prediction data is becoming more prevalent and critical in high performing production plants.

Emerson Process Management has expanded the protection of critical assets to include basic prediction capabilities with only minimal time and wiring investments. These basic prediction capabilities for the CSI 6500 protection system are available in the recently released version 5.61 of AMS Suite: Machinery Health Manager.

Using an Ethernet connection from the CSI 6500, users receive periodic parameter trends and spectrum/waveform data delivered on specific intervals. This data is particularly useful for determining the health of sleeve bearings on turbo machinery. This automated process for acquiring prediction data eliminates the need to connect to buffered outputs on the protection system and reduces the risk of inadvertently causing a machine trip.

In addition, waveform data from the CSI 6500 is now incorporated onto the circular polar plots available in AMS Machinery Manager v5.61, facilitating diagnosis of developing valve faults in reciprocating compressors.

“Expanding the capabilities in our technology is just one way Emerson offers additional value to our users,” said Nathan Pettus, vice president of Emerson’s Reliability Solutions business. “Emerson is committed to developing customer solutions that capture more of the right data, and delivering it in a way that allows users to make real-time, quality decisions on how to operate their assets.”

Emerson’s AMS Machinery Manager integrates data from route-based, online, and wireless vibration solutions as well as third-party oil and infrared analysis data to provide a complete picture of machinery health.

 

 

 

Enhanced Asset Insights Drive Targeted Production Improvements

Digital Ecosystems Re-Shaping Markets for Manufacturing

Accenture 2015 Tech TrendsThis report from Accenture looking at technology trends that will affect manufacturing among other businesses shows how people outside of the depths of automation, manufacturing, production arena are amazed by many technologies that we take for granted.

Check out the list of five trends, though. We already do some, but there are others that we will be adopting. Do you have your plans, yet?

Accenture report

Annual technology forecast highlights 5 technology trends affecting tomorrow’s digital businesses.

In its annual outlook of global technology trends, Accenture has identified a 180-degree shift to what it calls the “We Economy” that is re-shaping markets and changing the way we work and live. According to Accenture Technology Vision 2015, pioneering enterprises are tapping into a broad array of other digital businesses, digital customers and even digital devices at the edge of their networks to create new digital “ecosystems.”

These leading companies have already begun using technology to transform themselves into digital businesses and are now focusing on combining their industry expertise with the power of digital to reshape their markets. These businesses see great potential to make a difference – and a profit – by operating as ecosystems, not just as individual corporate entities, and driving the emergence of the “We Economy.”

This shift to the “We Economy” was confirmed in a related Accenture global survey of more than 2,000 IT and business executives, which found that four out of five respondents believe that in the future, industry boundaries will dramatically blur as platforms reshape industries into interconnected ecosystems. While 60 percent of those surveyed said they plan to engage new partners within their respective industries, 40 percent said they plan to leverage digital partners outside their industry and 48 percent said they plan to engage digital technology platform leaders.

“In last year’s Technology Vision report we noted how large enterprises were reasserting leadership in their markets by adopting digital to drive their processes more effectively and transform how they go to market, collaborate with partners, engage with customers and manage transactions,” said Paul Daugherty, chief technology officer, Accenture. “Now that digital has become part of the fabric of their operating DNA, they are stretching their boundaries to leverage a broader ecosystem of digital businesses as they shape the next generation of their products, services and business models to effect change on a much broader scale.”

The Accenture Technology Vision 2015 report offers examples of how, in the rapidly growing Industrial Internet of Things – i.e., the interconnection of embedded computing devices within the existing Internet infrastructure – companies are using digital ecosystems to offer new services, reshape experiences and enter new markets. This is supported by the Accenture survey, which found that 35 percent of respondents are already using partner APIs to integrate data and collaborate with business partners, with an additional 38 percent planning to do so. One example is Home Depot, which is working with manufacturers to ensure that all of the connected home products it sells are compatible with the Wink connected home system – thereby creating its own connected home ecosystem and developing potential new services and unique experiences for Wink customers.

Philips is taking a similar approach, teaming with Salesforce to build a platform to reshape and optimize the way healthcare is delivered. The envisioned platform will create an ecosystem of developers building healthcare applications to enable collaboration and workflow between doctors and patients across the entire spectrum of care. The ecosystem to achieve these improved outcomes is vast including electronic medical records as well as diagnostic and treatment information obtained through Philips’ imaging equipment, monitoring equipment, and personal devices and technologies.

Accenture Technology Vision 2015 notes that by tapping into digital ecosystems, Home Depot, Philips and other companies have the ability to grow and generate new sources of revenue in ways they could not achieve alone. The report also highlights five emerging technology trends that reflect the shifts being seen among the digital power brokers of tomorrow:

  • The Internet of Me: Our highly personalized world. As everyday objects are going online, so too are experiences – creating an abundance of digital channels that reach deep into every aspect of individuals’ lives. The range of emerging channels that companies report they are using or experimenting with to engage customers includes wearables (cited by 62 percent of survey respondents), connected TVs (68 percent), connected cars (59 percent) and smart objects (64 percent). Forward-thinking businesses are changing the way they build new applications, products and services, and reaping benefits as a result. To gain control over these access points to individuals’ experiences, businesses are creating highly personalized experiences to both engage and exhilarate customers — but having to do it while making sure to not violate customer trust. The majority (60 percent) are seeing a positive return on their investment in personalization technologies. Companies that succeed in this new “Internet of Me” will become the next generation of household names.
  • Outcome Economy: Hardware producing hard results. Intelligent hardware is bridging the last mile between the digital enterprise and the physical world. As leading enterprises come face-to-face with the Industrial Internet of Things, they are uncovering opportunities to embed hardware and sensors in their digital toolboxes and using these highly connected hardware components to give customers what they really want: not more products or services, but more meaningful outcomes. In fact, 87 percent of survey respondents acknowledged a greater use of more intelligent hardware, sensors and devices on the edge of networks, leading organizations to increasingly shift from selling products or services to selling outcomes. And 84 percent of respondents touted a deeper level of understanding of how products are being used and outcomes customers want resulting from embedded intelligence in products. These “digital disrupters” know that getting ahead is no longer about selling things, but about selling results. This is the new “outcome economy.”
  • The Platform (R)evolution: Defining ecosystems, redefining industries. Digital industry platforms and ecosystems are fueling the next wave of breakthrough innovation and disruptive growth. Increasingly, platform-based companies are capturing more of the digital economy’s opportunities for growth and profitability. In fact, 75 percent of survey respondents believe the next generation of platforms will be led not by large tech companies but by industry players and leaders. And nearly three-quarters (74 percent) are using or experimenting with industry platforms to integrate data with digital business partners. Rapid advances in cloud and mobility are not only eliminating the cost and technology barriers associated with such platforms, but opening up this new playing field to enterprises across industries and geographies. In short, platform-based ecosystems are the new plane of competition.
  • Intelligent Enterprise: Huge data + smarter systems = better business. Until now, advanced software has been geared to help employees make better and faster decisions. But with an influx of big data – and advances in processing power, data science and cognitive technology – software intelligence is helping machines make even better-informed decisions. This is the era of software intelligence where applications and tools will take on more human-like intelligence, according to eighty percent of our respondents. And 78 percent of respondents believe software will soon be able to learn and adapt to our changing world and make decisions based on learned experiences. The next level of operational excellence and the next generation of software services will come out of the latest gains in software intelligence, which will drive new levels of evolution and discovery, propelling innovation throughout the enterprise.
  • Workforce Reimagined: Collaboration at the intersection of humans and machines. The push to go digital is amplifying the need for humans and machines to do more, together. The majority of survey respondent companies (57 percent) are adopting technologies that enable business users to complete tasks that previously required IT experts, such as data visualization. Advances in natural interfaces, wearable devices and smart machines are presenting new opportunities for companies to empower their workers through technology. This will also raise new challenges in managing a collaborative workforce of people and machines. Seventy-eight percent of the executives surveyed agree successful businesses will manage employees alongside intelligent machines – ensuring collaboration between the two. And 77 percent of respondents believe that within three years, companies will need to focus on training their machines as much as they do on training their employees (e.g., using intelligent software, algorithms and machine learning). Successful businesses will recognize the benefits of human talent and intelligent technology collaborating side by side – and will embrace both as critical members of the reimagined workforce.

“Rather than simply focusing internally, on improving their own operations, successful companies are looking externally to create and become part of digital ecosystems,” said Daugherty. “They’re beginning to see the importance of selling not just products and services, but outcomes — and that requires weaving their businesses into the broader digital fabric that extends to customers, partners, employees and industries.”

For nearly 15 years, Accenture has taken a systematic look across the enterprise landscape to identify emerging IT trends that hold the greatest potential to disrupt businesses and industries. For more information on this year’s report, visit www.accenture.com/technologyvision or follow the conversation on Twitter with #TechVision2015.

About the Methodology

Accenture’s Technology Vision is developed annually by the Accenture Technology Labs. For the 2015 report, the research process included gathering input from the Technology Vision External Advisory Board, a group comprising more than two dozen executives and entrepreneurs from the public and private sectors, academia, venture capitalists and startup companies. In addition, the Technology Vision team conducted nearly 100 interviews with technology luminaries, industry experts and Accenture business leaders. The team also tapped into the vast pool of knowledge and innovative ideas from professionals across Accenture, using Accenture’s collaboration technologies and a crowdsourcing approach to launch and run an online contest to uncover the most-interesting emerging technology themes. More than 1,700 Accenture professionals participated in the contest, contributing valuable ideas and voting on others’ input.

In parallel, Accenture Research conducted a global survey of 2,000 business and IT executives across nine countries and 10 industries to capture insights into the adoption of emerging technologies. The survey identified key issues and priorities for technology adoption and investment. Respondents were mostly C-level executives and directors, with some functional and line-of-business leads, at companies with annual revenues of at least US$500 million, with the majority of companies having annual revenues greater than US$6 billion.

 

Operations Management Software Features Integrated Scheduling

This press release from a company new to me came from a PR person whom I have known for years. So, I trust him to not feed me much BS (as some try to do). This is from an MES developer called Critical Manufacturing whose product is cmNavigo.

The software sounded interesting, but some words were used in the release that raised my “meter” level. The phrase, “the most modern, comprehensive and unified MES system available for complex manufacturing operations”, just laid there inviting questions. So, I asked. Here is the answer by way of introducing this company and its latest product.

I asked about “most,” “modern,” “comprehensive,” and “unified.” Each of those words are important, but beg for explanation. Here is the response. “Key to the argument is the fact that their system is designed for complex processes used in manufacture of high technology products such as semiconductors, electronics and medical devices. cmNavigo is modern in that it is built on the latest Microsoft platform; it is comprehensive in that it integrates more than 30 MES functions; and it is unified in that all of this functionality is native to cmNavigo, not relying on third parties. They know of no other MES vendor designing for this market that can make all three of those claims.”

That is fair.

By the way, there is a webcast with Julie Fraser moderating  February 19th webinar. Register here.

Press release

Critical Manufacturing, a supplier of integrated manufacturing execution systems (MES) to empower operations of the global high-technology manufacturing industry, introduces cmNavigo 4.0, the industry’s first comprehensive MES software with embedded finite scheduling. By tightly unifying scheduling into critical MES functions in a modern, Microsoft-based operations management system, cmNavigo 4.0 software improves on-time delivery, shortens total cycle time, and makes better use of plant resources.

“As margins in global high-technology manufacturing shrink, many manufacturers are finding that their legacy MES systems don’t have the flexibility and functionality to meet the demands of today’s volatile markets. The new scheduling, quality control, warehouse management, and shift handoff capabilities we are announcing today reflect our commitment to provide the most modern and unified MES solution available,” said Francisco Almada-Lobo, CEO, Critical Manufacturing. “This new functionality will help manufacturers improve cost control, better manage inventory, and boost productivity of advanced, discrete production operations.”

New Scheduling Functionality Optimizes Production to Meet Customer Demand

cmNavigo 4.0 scheduling models plant floor resources and defines the role of each in fulfilling a mix of orders in an optimal near-term time frame, driven by customer demand. Schedules can be weighted around multiple production criteria and key performance indicators, such as minimizing delivery delays, maximizing machine loads, and reducing cycle times.

Built on Microsoft application development layers, the new scheduling application integrates with more than 30 extensible MES applications. These provide visibility and traceability, operational efficiency, quality management, factory integration, operations intelligence, and factory management. The modern architecture empowers operations managers to configure and extend models and define workflows without the need for programming.

Integrating scheduling and other MES functionality so tightly avoids duplication of master data, allows real-time updates across different areas of the plant floor, and eliminates the need to maintain separate interfaces. Other new cmNavigo integrated applications announced today deliver the following capabilities:

  • Lot-based sampling enables automated calendar or time-based sampling of production.
  • Document management provides visualization, control, and approval of shop-floor, operations-related documents.
  • Warehouse management synchronizes exchange of information and material between the warehouse and the plant floor.
  • Durables-tracking simplifies tracking of durable components such as boards, fixtures, tooling and masks, supporting recipe management, maintenance, exception handling, and data collection.
  • A shift logbook enhances both performance and safety by regulating exchange of critical information between shifts.

The new scheduling, sampling, factory management, tracking and logbook features of the software combine to address a wide range of MES needs in semiconductor manufacturing, electronics manufacturing, and medical device manufacturing and other manufacturing industries that might have both high mix and high volume lines. cmNavigo 4.0 software is available now for implementation throughout the world.

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