Manufacturer Adoption of Internet of Things

Manufacturer Adoption of Internet of Things

PwC Manufacturing ReportAre you sick of hearing about the Internet of Things, yet? I hope not. That’s the big topic in industrial/manufacturing circles these days, and I doubt that it fades soon.

I think there is a paradox going down here, though. In many respects we already have connected plants. Automation has been so well accepted, that it would be hard to find a facility either manufacturing or production that has no automation. And automation requires instrumentation, networking, and data analysis.

Even considering IP–as in Internet Protocol–as a core of Internet of Things, the adoption of Ethernet-based networks such as EtherNet/IP and Profinet continues to grow significantly.

One wonders, then, what manufacturing executives think of the whole idea and where adoption ranks in their priorities.

Robert McCutcheon, Partner with PwC and US Industrial Products Leader, led a study with PwC and The Manufacturing Institute. The facts and conclusions are included in The Internet of Things: what it means for US manufacturing.

McCutcheon followed up with a blog post where he summarized the findings.

Setting the table for the discussion, he notes, “According to one estimate, the installed base for Internet-connected devices already exceeded $14 billion by early 2015, and is forecast to boom to nearly $50 billion by 2020. We are living in an era of deep data inter-connectivity.”

Further, he says, “Connected devices and new data flows are already making impressive headway in the manufacturing sector, and we expect to see this trend accelerate. In fact, another estimate shows that over the next decade, manufacturers could stand to capture about $4 trillion of value from the IoT through increased revenues and lower costs.”

With this potential value potential, what are executives thinking? Here is his summary.

“This is what we learned:

  • Smart sensors are gaining traction – nearly 40% of U.S. manufacturers are collecting and using data generated by smart sensors to enhance their manufacturing and operating processes
  • Not all think IoT strategy is critical — about 30% say that it’s “slightly important” or “not important at all” to adopt IoT strategy in their operations
  • Focus is on manufacturing plants — one in three manufacturers use data-driven technology in the manufacturing plant only, with about one in four deploying it in their plant and warehouse”

The idea is data-driven manufacturing. Many are competing to find the killer app for this.

The idea is data-driven manufacturing. Many are competing to find the killer app for this. Industrie 4.0 advocates describe a digital factory that mirrors the physical factory where engineers and executives can fine tune the process from design to ship. Smart Manufacturing envisions a platform where apps can be built upon which will provide benefits of enhanced workflow.

Even Lean (which is seldom discussed lately, but remains the best route to manufacturing effectiveness) needs data to both discover problem areas and provide feedback about the success of the project.

Where do you stand on the IoT spectrum?

Significant Increases to Asset Management Portfolio At Bentley

Significant Increases to Asset Management Portfolio At Bentley

Asset management, analytics, modeling, safety—some of the significant trends highlighted at last week’s ARC Industry in Transition Forum in Orlando—all popped up at the Bentley Systems press conference session. Highlights were acquisition of C3global and its Amulet Operational Analytics, acquisition of Acute3D and its reality modeling solution, and added process safety and risk management capabilities.

Operational Analytics

Bentley Systems has acquired U.K.-based C3global, provider of web-based Amulet software for operational analytics. Bentley’s AssetWise platform, which serves configuration management, asset health monitoring, inspection, maintenance, and compliance for infrastructure assets, can now deliver additional actionable insights as asset performance management is extended, through AssetWise Amulet, for asset performance modeling. AssetWise Amulet offers unique value in applying predictive and prescriptive analytics that are easily configurable at industrial scale to leverage just-in-time data for improved operational efficiencies.

Gartner recognizes C3global as part of the industrial analytics transformation helping digital businesses (as noted in Gartner’s “Industrial Analytics Revolutionizes Big Data in the Digital Business” report [G00264728], published August 19, 2014). Among the many infrastructure owner-operators benefiting from Amulet operational analytics are water utilities, oil and gas, and power transmission grids. User organizations include Babcock, BP, Chevron, Danfoss, Emerson, MWH, National Grid, South Australian Water, and Total.

AssetWise Amulet can be readily configured to build sophisticated applications tailored to infrastructure operations needs without having to know a programming language. It bridges the gap between information technology (IT) and operational technology (OT), enabling advanced analytics to be an integral part of all aspects of the business process. Through AssetWise Amulet’s interactive and easily configurable operational dashboards, owner-operators are provided with the context they need to be confident in their decisions and are afforded an easy method of measuring and managing the outcomes.

AssetWise Amulet is designed to integrate and analyze “big data” generated by a wide range of external applications and systems – from SQL or Oracle databases to enterprise data warehouses, industrial data historians, and control systems, as well as maintenance and work order management systems. The data can be structured or unstructured and include systems data, photos, video, log books, Microsoft Excel files, event failures, scanned notes, witnessed events, and more.

Once data from the IT and OT systems has been captured and aggregated, the software applies the users’ business rules, models, and knowledge to provide an improved view and understanding of operational performance for decision support. In conjunction with AssetWise-certified integrations to SAP EAM, IBM Maximo, and Oracle eAM, AssetWise Amulet will help drive the right actions at the right time, reducing operational risks and improving operational efficiency.

Reality Modeling

Bentley Systems also announced that it has acquired France-based Acute3D, provider of Smart3DCapture software for reality modeling. Through reality modeling, observations of existing conditions are processed into representations for contextual alignment within design modeling and construction modeling environments. Rapid technology advancements in scanning and photography – and especially the burgeoning application of unmanned aerial vehicles (UAVs) for these purposes – are making the capture of such observations broadly and continuously affordable in sustaining infrastructure.

Acute3D software automates the generation of high-resolution, fully-3D representations from digital photographs taken with any camera, whether highly specialized or embedded in a smartphone. Scalable from site to city, and with precision limited only by the quantity and quality of photography, Acute3D technology can assure that existing conditions are contemporaneously considered throughout the architecture, engineering, construction, and operations of any infrastructure asset. Now that photo sequences from UAVs are likely to become the most feasible source for surveying, construction monitoring, and inspection workflows, Acute3D’s industrial-level accuracy and unlimited scalability are making it a preferred technology for UAV manufacturers and professionals around the world.

Process Safety and Risk Management

AssetWise APM V7.3 the enhanced version of Bentley’s asset performance management (APM) offering – an all-in-one analysis and information management software platform for asset reliability and asset integrity – now also advances process safety.

Alan Kiraly, Bentley senior vice president, server products, said, “Our AssetWise APM V7.3 meets the demanding requirements of reliability, integrity, safety, and maintenance managers and engineers in industries ranging from oil and gas, petrochemical, and mining and metals to power generation and other utilities. The software ensures assets are safe and reliable and that they are inspected and maintained to reduce or eliminate risk. Users further benefit from the elimination of unexpected downtime, increased asset availability and utilization, reduced maintenance costs, and support for regulations and safety standards, including ISA 84, IEC 61511, IEC 61508, and IEC 61882.”

AssetWise APM V7.3’s new process safety features help users manage the integrity of safety systems and hazardous processes, thereby preventing failures and catastrophic incidents and keeping people, assets, and the environment safer. Capabilities include safety instrumented function (SIF) analysis, safety instrumented systems (SIS), safety integrity level (SIL) and safety provisions, overrides, and incidents. AssetWise APM V7.3 also provides version control and approval, the analysis of loss of containment scenarios, and the identification and assessment of risks at the system level, as well as for related assets (risk matrix).

 

Significant Increases to Asset Management Portfolio At Bentley

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.

What Is Smart Manufacturing and Why We Care

IDC Smart Mfg Info Graphic

[Updated: 1/28/15]

Last week I attended the board meeting of the Smart Manufacturing Leadership Coalition. Sometimes I’m an idealist working with organizations that I think have the potential to make things better for engineers, managers, and manufacturers in general. I derive no income from them, but sometimes you need to give back to the cause. SMLC is one of those organizations. MESA, OMAC, ISA, CSIA, and MIMOSA are other organizations that I’ve either given a platform to or to whom I have dedicated many hours to help get their message out.

In the area of weird coincidence, just as I was preparing to leave the SMLC meeting there came across my computer a press release from an analyst firm called IDC IDC Manufacturing Insights also about smart manufacturing. This British firm that is establishing an American foothold first came to my attention several years ago with a research report on adoption of fieldbuses.

The model is the “Why, What, Who, and How of Smart Manufacturing.” See the image for more information. I find this model interesting. As a student of philosophy, I’m intrigued by the four-part Yin-Yang motif. But as a manufacturing model, I find it somewhat lacking.

IDC insight

According to Robert Parker, group vice president at IDC Manufacturing Insights, “Smart manufacturing programs can deliver financial benefits that are tangible and auditable. More importantly, smart manufacturing transitions the production function from one that is capacity centric to one that is capability centric — able to serve global markets and discerning customers.” A new IDC Manufacturing Insights report, IDC PlanScape: Smart Manufacturing – The Path to the Future Factory (Doc #MI253612), uses the IDC PlanScape methodology to provide the framework for a business strategy related to investment in smart manufacturing.

Parker continues, “Smart manufacturing programs can deliver financial benefits that are tangible and auditable. More importantly, smart manufacturing transitions the production function from one that is capacity centric to one that is capability centric — able to serve global markets and discerning customers.”

The press release adds, “At its core, smart manufacturing is the convergence of data acquisition, analytics, and automated control to improve the overall effectiveness of a company’s factory network.”

Smart manufacturing

This “smart” term is getting thrown around quite a bit. A group of people from academia, manufacturing, and suppliers began discussing “smart manufacturing” in 2010 and incorporated the “Smart Manufacturing Leadership Coalition” in 2012. I attended a meeting for the first time in early 2013.

Early on, SMLC agreed that “the next step change in U.S. manufacturing productivity would come from a broader use of modeling and simulation technology throughout the manufacturing process”.

Another group, this one from Germany with the sponsorship of the German Federal government, is known as Industry 4.0, or the 4th generation of industry. At times its spokespeople discuss the “smart factory.” This group is also investigating the use of modeling and simulation. However, the two groups take somewhat different paths to, hopefully, a similar destination—more effective and profitable manufacturing systems.

Key findings from IDC:

  • Use the overall equipment effectiveness (OEE) equation to understand the potential benefits, and tie those benefits to financial metrics such as revenue, costs, and asset levels to justify investment.
  • Broaden the OEE beyond individual pieces of equipment to look at the overall impact on product lines, factories, and the whole network of production facilities.
  • Technology investment can be separated into capabilities related to connectivity, data acquisition, analytics, and actuation.
  • A unifying architecture is required to bring the technology pieces together.
  • Move toward an integrated governance model that incorporates both operation technology (OT) and information technology (IT) resources.
  • Choose an investment cadence based on the level of executive support for smart manufacturing.

Gary’s view

I’ve told you my affiliations, although I am not a spokesman for any of them. Any views are my own.

So, here is my take on this report. This is not meant to blast IDC. They have developed a model that they can take to clients to discuss manufacturing strategies. I’m sure that some good would come out of that—at least if executives at the company take the direction seriously and actually back good manufacturing. However, the ideas started my thought process.

Following are some ideas that I’ve worked with and developed over the past few years.

  • To begin (picky point), I wish they had picked another name in order to avoid confusion over what “smart manufacturing” is.
  • While there are a lot of good points within their model, I’d suggest looking beyond just OEE. That is a nice metric, but it is often too open to vagaries in definition and data collection at the source.
  • Many companies, indeed, are working toward that IT/OT convergence—and much has been done. Cisco, for example, partners with many automation suppliers.
  • SMLC is working on a comprehensive framework and platform (also check out the Smart Manufacturing blog). Meanwhile, I’d also reference the work of MIMOSA (OpenO&M and the Oil & Gas Interoperability Pilot see here and here).
  • I’d suggest that IDC take a look into modeling, simulation, and cyber-physical systems. There is also much work being done on “systems of systems” that bring in standards and systems that already exist to a higher order system.

I have not built a model, but I’d look carefully into dataflows and workflows. Can we use standards that already exist to move data from design to operations and maintenance? Can we define workflows—even going outside the plant into the supply chain? Several companies are doing some really good work on analytics and visualization that must be incorporated.

The future looks to be comprised of building models from the immense amounts of data we’re collecting and then simulating scenarios before applying new strategies. Then iterating. So, I’d propose companies thinking about their larger processes (ISA 95 can be a great start) and start building.

These thoughts are a main theme of this blog. Look for more developments in future posts.

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