Survey Shows Humans Perform 72% of Manufacturing Tasks

Survey Shows Humans Perform 72% of Manufacturing Tasks

My response to automation and robot dystopian writers is that for the most part these technologies have removed humans from dangerous and monotonous manufacturing work. Humans are freed to do things using their heads as well as their hands. This report from A.T. Kearney and Drishti further contradicts hype about accelerating factory automation; demonstrates the need for greater investment in the human workforce.

According to new data released today by A.T. Kearney and Drishti, humans still perform 72 percent of manufacturing tasks. This data, from a survey of more than 100 manufacturing leaders, suggests that despite headlines about robots and AI replacing humans in factories, people remain central to manufacturing, creating significantly more value on the factory floor than machines.

Respondents also noted that there’s an almost universal lack of data into the activities that people perform in the factory. This analytical gap severely limits manufacturers’ ability to make informed decisions on capacity planning, workforce management, process engineering and many other strategic domains. And it suggests that manufacturers may overprioritize automation due to an inability to quantify investments in the human workforce that would result in greater efficiencies.

“Despite the prominence of people on the factory floor, digital transformation strategies for even the most well-known, progressive manufacturers in the world remain largely focused on machines,” said Michael Hu, partner at A.T. Kearney. “This massive imbalance in the analytics footprint leaves manufacturers around the globe with a human-shaped blind spot, which prevents them from realizing the full potential of Industry 4.0.”

While manufacturing technology has seen increasing innovation for decades, the standard practices for gathering and analyzing tasks done by humans – and the foundation of holistic manufacturing practices like lean and Six Sigma – are time-and-motion study methodologies, which can be directly traced back to the time of Henry Ford and have not been updated for the digital age.

“The principles underlying these 100-year-old measurement techniques are still valid, but they are too manual to scale, return incomplete datasets and are subject to observation biases,” said Prasad Akella, founder and CEO of Drishti. “In the age of Industry 4.0, manufacturers need larger and more complete datasets from human activities to help empower operators to contribute value to their fullest potential. This data will benefit everyone in the assembly ecosystem: plant managers, supervisors, engineers and, most importantly, the operators themselves.”

Additionally, the survey respondents noted the significant overhead needed for traditional data gathering methodologies: on average, 37 percent of skilled engineers’ time is spent gathering analytics data manually.

“Humans are the most valuable asset in the factory, and manufacturers should leverage new technology to extend the capabilities of both direct and indirect labor,” said Akella. “If you could give your senior engineers more than a third of their time back, you’d see immediate gains. Instead of spending so many hours collecting data, their attention and capabilities would remain focused on the most critical decisions and tasks.”

The survey also revealed the flip side of human contributions to manufacturing systems: Survey respondents noted that 73 percent of variability on the factory floor stems from humans, and 68 percent of defects are caused by human activities. Perhaps as a result, 39 percent of engineering time is spent on root cause investigations to trace defects – another manual expenditure of time that could be greatly reduced with better data.

“The bottom line is that better data can help both manufacturers and human operators across the board,” said Hu. “Data illuminates opportunities for productivity and quality improvements; simplifies traceability; mitigates variability; and creates new opportunities for operators to add even greater value. Humans are going to be the backbone of manufacturing for the foreseeable future, and the companies that improve their human factory analytics are the ones that will be best positioned to compete in Industry 4.0.”

To view the full report, click.

A.T. Kearney is a leading global management consulting firm with offices in more than 40 countries.

Advantech Quietly an Internet of Things Leader

Advantech Quietly an Internet of Things Leader

Advantech has been appearing on a variety of lists of prominent Internet of Things suppliers. The Taiwanese computer company with a US office in Cincinnati, OH and intellectual leadership, supplies intelligent I/O, a variety of computing devices, and HMI devices.

Several years ago I was privileged to be invited to Suzhou, China to attend Advantech’s user conference. It was an impressive event. This year they called it the “first IoT Co-Creation Summit.”

More than five thousand Advantech clients and partners from around the world attended the summit. Here Advantech introduced its newest IoT platform structure WISE-PaaS 3.0 and 32 IoT solution ready packages (SRPs) co-created with software and industry partners.

The event in itself will aid in the software/hardware integration for various industries, connect and build a complete industrial IoT ecosystem and value chain, and allow Advantech and partners to officially step into the next IoT stage.

Advantech Chairman KC Liu stated that in view of IoT application characteristic’s diversity and fragmented market, Advantech has assisted industries in integrating and connecting existing hardware and software and regards creating a complete industry value chain as its primary task in IoT industry development.

Advantech is introducing new features for its WISE-PaaS 3.0 and sharing a number of IoT solution ready packages (SRPs), based on WISE-PaaS, developed with numerous co-creation partners. The company is also outlining future co-creation strategies and schedules for the upcoming year.

Allan Yang, Chief Technology Officer at Advantech said, “While IoT is currently flourishing and many companies have invested in connectivity and data collection equipment, we are still in the early stages of generating value from IoT data. Since WISE-PaaS launched in 2014, Advantech has continued its integration and improved connectivity with open source communities. Our IoT software modules are developed to create operational cloud platform services oriented around the commercial value generated by data acquisition. Data-driven innovation has thus become the main target for our WISE-PaaS evolution.

WISE-PaaS 3.0 offers four main function modules:

  • WISE-PaaS/SaaS Composer: a cloud configuration tool with visible workflow. WISE-PaaS/SaaS Composer supports customized component plotting for simple and intuitive 3D modeling application and interaction. It updates views at millisecond rates and, together with WISE-PaaS/Dashboard, presents critical management data in a visually intuitive display to help extract valuable data and improve operational efficiency.
  • WISE-PaaS/AFS (AI Framework Service): an artificial intelligence training model and deployment service framework. The WISE-PaaS/AFS provides a simple drag and drop interface that allows developers to quickly input industrial data. When combined with AI algorithms, the service builds an effective inference engine with automatic deployment to edge computing platforms. AFS offers model accuracy management, model retraining, and automated redeployment. It simultaneously controls multiple AI models in the application field; offering automated model accuracy improvements and life-cycle management services.
  • WISE-PaaS/APM (Asset Performance Management): an equipment network connection remote maintenance service framework. WISE-PaaS/APM connects to a wide array of on-site industrial equipment controls and communication protocols. It supports the latest edge computing open standard, EdgeX Foundry, and includes built-in equipment management and workflow integration templates. Jointly with the AFS, APM accelerates Machine to Intelligence (M2I) application development.
  • Microservice development framework: WISE-PaaS contains a micro service development framework to help developers rapidly create program design frameworks while reducing development requisites. Micro service functions, such as service finding, load balancing, service administration, and configuration center, all offer built-in flexible support mechanisms.

Advantech recently established a water treatment system, jointly developed with GSD (China) Co., Ltd., and a CNC equipment remote operation service, jointly developed with Yeong Chin Machinery Industries Co. Ltd. Both partnerships demonstrate how industrial digital transformations, led by Advantech and its partners through the co-creation model, offer innovative win-win IoT solutions.

Advantech’s IIoT iAutomation Group has launched a broad selection of rackmount GPU Servers from 1U to 4U. The SKY-6000 GPU server series are powered by Intel Xeon scalable processors and each of these highly scalable GPU-optimized servers support up to five NVIDIA Tesla P4 GPUs. IPMI management functions and smart fan control ensure better temperature control and thermal management environments. Every GPU pair includes one high-speed PCIe slot for highly parallel applications like artificial intelligence (AI), deep learning, self-driving cars, smart city applications, health care, high performance computing, virtual reality, and much more.

AI Deep Learning GPU Solution

With support for up to five pcs of half-length half-height (HHHL) GPU cards or one full-height full-length (FHFL) double deck card, plus one full-height half-length (FHHL) GPU card, the SKY-6100 series are designed for NVidia Tesla P4 HHHL GPU cards, making it the best choice for deep learning applications.

IPMI Server Management

With IPMI 2.0 support, the SKY-6000 series allows users to monitor, manage, and control servers remotely and receive alerts if any sensors detect device or component faults. In addition, event logs record important information about the server which can be controlled remotely using the IPMI KVM.

Smart Fan Control

The optimized thermal design separates the CPU and GPU fan zones, making sure the GPU card is not preheated or thermally affected by any other heat source. Also, with the smart fan control mechanism, fan speeds are controlled based on different CPU and GPU workloads and ambient temperature. This feature lowers the acoustic noise of GPUs that have heavy loading but not CPUs. Advantech’s SKY-6000 server series are available for order now.

FDT IIoT Server Standard to Empower Platform Independent Deployment

FDT IIoT Server Standard to Empower Platform Independent Deployment

Another group validates standards for industrial communication including FDT and OPC UA.

FDT Group, an independent, international, not-for-profit standards association supporting the evolution of FDT technology (IEC 62453), announced that its Board of Directors voted unanimously to empower the emerging FDT IIoT Server (FITS) architecture with full platform independence. This decision strengthens the FITS architecture to support the diverse array of operating systems to meet industry-driven demands.

In addition to platform independence, key features of the FITS solution include native integration of the OPC Unified Architecture (OPC UA), as well as comprehensive Control and Web Services interfaces. With built-in security protecting valuable information and operating data, the FITS platform will enable cloud, enterprise, on-premise, and a single-user desktop deployment method meeting the needs of the process, hybrid and discrete manufacturing sectors.

“The FITS platform is the ‘game changer’ the automation industry has been anticipating,” said Glenn Schulz, managing director of FDT Group. “I’d like to thank our Architecture and Specification Working Group that worked behind the scenes investigating and prototyping the platform independence feature approved by our board.”

Schulz added, “The Architecture and Specification Working Group has been directed to immediately transition FDT Server Common Components to a pure .NET Core implementation, previously built on the Microsoft .NET Framework. This transition will result in a single FDT Server environment deployable on a Microsoft-, Linux-, or macOS-based operating system, which will empower the intelligent enterprise by bridging the current installed base with next-generation solutions supporting the IIoT and I4.0 era.”

The significant decision and direction allows nearly unlimited deployment and application scenarios. For example, cloud-based FDT Servers can enjoy the performance and cost benefits of a Linux operating system. Traditional control system vendors can offer the FDT Server embedded in their hardware, and machine builders can deploy a small Linux-based FDT Server offering a comprehensive preconfigured asset management system for their skid that can be securely accessed remotely or with smart phones or browsers.

MES applications can also incorporate an FDT Server to gain secure, direct access to production data and asset health and availability metrics through OPC UA. In addition, service providers can wrap services around an FDT Server delivered in an industrial hardened Linux box. The opportunities for cost savings and value creation goes on due to the highly flexible deployment options of the FITS standard.

Because of the security, scalability and the ease of deployment of an FDT Server, the solution will simplify entry into the IIoT marketplace as the only open platform standardized integration architecture providing a single interface with cloud-to-plant floor mobile access. The decision to migrate to platform independence will delay the launch of the FITS specification by approximately six months. With the launch planned for the latter half of 2019, alongside Common Components supporting the FITS standard, automation suppliers and service providers will immediately reap the benefits of a quick development and deployment strategy. Common Components create a library of FDT routines and will simplify compliant development of FITS-based solutions such as Servers, Device Type Managers (DTMs) and APPs.

The final standard will be delivered as three documents: the FDT 2.5 specification, which builds on FDT 2.1 to include HTML5 and JavaScript graphical user interface features; the FITS Web Services Technical Specification, which describes the Web Services interfaces and requirements for an FDT Server; and the OPC UA Annex detailing the OPC UA Server mapping for an FDT Server.

OPC Foundation Extends OPC UA With TSN To Field Level

OPC Foundation Extends OPC UA With TSN To Field Level

OPC UA and TSN (Time Sensitive Network). A marriage I was beginning to think was never going to happen. I wrote a preliminary white paper following Hannover Messe 2017. Yes, more than a year ago. (Check it out by clicking the small ad on the sidebar.) This thing has been like a ball in a Rugby match—kicked, going different directions, downed and picked up. People wanting to move before thinking. Getting caught up in legal issues and “politics.” Postponed press conferences.

And, now…”The OPC Foundation launches an initiative to further enable OPC UA adoption throughout industrial automation by extending standardization and harmonization activities for OPC UA including TSN-enabled Ethernet networks.”

The goal of this initiative is to deliver an open, cohesive approach to implement OPC UA including TSN and associated application profiles. This will advance the OPC Foundation providing vendor independent end-to-end interoperability into field level devices for all relevant industry automation use-cases. The OPC Foundation vision of becoming the worldwide industrial interoperability standard is advanced by integrating field devices and the shop floor.

A new set of working groups will identify, manage and standardize the OPC UA relevant topics focused on industrial automation including,

• harmonization and standardization of application profiles e.g. IO, motion control, safety, system redundancy

• standardization of OPC UA information models for field level devices in offline e.g. device description and online e.g. diagnostics

• mapping of OPC UA application profiles related to real-time operations on ethernet networks including TSN

• definition of certification procedures

The working groups will closely align with the TSN Profile for Industrial Automation (TSN-IA-Profile) which will be standardized by the IEC/IEEE 60802 standardization group. This will help ensure that a single, converged TSN network approach is maintained so that OPC UA can share one common multi-vendor TSN network infrastructure together with other applications.

This initiative integrates well with existing joint working groups engaged in ongoing companion specification e.g. description of machines.

Stefan Hoppe, President of the OPC Foundation said “The benefit of membership in the OPC Foundation allows companies to actively engage and influence the direction of the OPC Foundation and includes early access to the specifications and technology. This initiative will grow OPC UA into new markets and I highly encourage all OPC Foundation members to contact the OPC Foundation to participate”.

Thomas Burke, Strategic Marketing Officer of the OPC Foundation, “We are very excited about the initiative to extend OPC UA including TSN down to the field level, and the number of companies that want to actively participate in this initiative bringing the technology into real world products. This set of working groups will pave the way for the broadest, easiest, and fastest market adoption of OPC UA over TSN.”

The OPC Foundation develops and maintains OPC UA as an open and secure communication platform comprised of an information model framework, communication models and underlying protocol bindings. As such, the OPC Foundation works non-exclusively with other organizations on various OPC UA related topics but continues to operate as a platform, technology, use case, and vendor agnostic standardization body.

Awards For Best Application of HMI/SCADA

Awards For Best Application of HMI/SCADA

It’s not the technology; it’s what you do with it. Here are companies (and their engineers) who have done some cool projects with HMI/SCADA software. Inductive Automation has selected the recipients of its Ignition Firebrand Awards for 2018. The announcements were made at the Ignition Community Conference (ICC) in September.

The Ignition Firebrand Awards recognize system integrators and industrial organizations that use the Ignition software platform to create innovative new projects. Ignition by Inductive Automation is an industrial application platform with tools for the rapid development of solutions in human-machine interface (HMI), supervisory control and data acquisition (SCADA), manufacturing execution systems (MES), and the Industrial Internet of Things (IIoT). Ignition is used in virtually every industry, in more than 100 countries.

The Ignition Firebrand Awards are presented every year at ICC. The award-winning projects are selected from the ICC Discover Gallery, which features the best 15 Ignition projects submitted by integrators and industrial organizations.

“Once again, we had a lot of variety with the Firebrand Award winners this year,” said Don Pearson, chief strategy officer for Inductive Automation. “Many industries were represented — automotive, oil & gas, food & beverage, water/wastewater, and more. It was great to see quality projects in all kinds of settings.”

“It’s inspiring to see the creative applications people are building on top of the Ignition platform,” said Travis Cox, co-director of sales engineering for Inductive Automation. “Every year, people create some really interesting projects, and this year was no exception.”

These Ignition Firebrand Award winners demonstrated the versatility and power of Ignition:

  • Brown Engineers (Little Rock, Ark.) took a unique approach to improving the filter backwash process for a water treatment plant at the City of Hot Springs. Brown used the Ignition SCADA platform to dramatically improve the automatic backwash, conserve water, improve water quality, and initiate collection of filter data needed to extend regulatory run-time limits. See the video here.
  • ECS Solutions (Evansville, Ind.) and Blentech Corporation (Santa Rosa, Calif.) partnered on a project that brought a unified platform to JTM Food Group’s new state-of-the-art plant in Harrison, Ohio. The result was a SCADA system that included the full spectrum of process automation. The Ignition application includes material management, formulation control, batch processing, and process control. See the video here.
  • Open Automation SRL (Santa Fe, Argentina) improved operations for a Cargill-owned animal nutrition plant. The project used Ignition to increase efficiency, productivity, and traceability without increasing labor. Greater access to data, less paper, and improved product quality were just a few of the benefits. See the video here.
  • Roeslein & Associates (St. Louis, Mo.) helped global automotive supplier Dana Incorporated increase productivity by 30 percent at some of its sites. The project provided real-time statistical analysis and visualization of machine data to enable better and faster decision-making. The flexible solution can be leveraged by Dana in numerous additional plants. See the video here.
  • Tamaki Control (Auckland, New Zealand) created a comprehensive clean-in-place scheduling system for the largest yogurt-manufacturing facility in the world: the Chobani plant in Twin Falls, Idaho. The solution increased visualization and made it much easier for operators to share information. It can also be leveraged for other uses at Chobani plants. See the video here.
  • Weisz Bolivia SRL (Buenos Aires, Argentina) solved weather-related data-communication problems for the largest offshore oil operation in Argentina. Results included better access to data, easier reporting to a government agency, and streamlined processes. See the video here.

Information on all 15 Discover Gallery projects can be found here.

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