Where do you get the I/O for the IIoT?

Nick Butler, National Instruments for ControlDesign:  Data is the heart of all Internet of Things systems, including systems deployed into industrial environments. When we talk about making the aging electrical grid smarter or the factory of the future more efficient, what we’re really after are insights that can make our equipment and infrastructure smarter and more efficient. And to deliver these incredibly valuable insights, which will result in millions of dollars in savings, uptime or operational efficiency, we need data. Lots of it. We also need complex, computationally intensive algorithms that scour the data to find trends, patterns and anomalies (Figure 1). While these algorithms and analysis routines are a very important piece of the IIoT puzzle, the best data scientists in the world cannot predict equipment failures without enormous amounts of data.   Cont'd...

How Embedded Devices and the Cloud Are Leading a Paradigm Shift in Manufacturing and Production

This cannot be a simple extension of todays processes, but needs to be a complete rethink of how manufacturing and production systems are designed to take full advantage of the cloud and the analytics that it brings to bear.

Logistic companies Swisslog, Dematic, Egemin and Intelligrated have all been Acquired

All these companies are logistics and material handling vendors and times are changing in logistics and fulfillment

Hitachi Begins Development of Factory Automation Platform as a Service Testbed

Kagan Pittman for Engineering.com:  Will the Internet of Things be the future of manufacturing? Global conglomerate Hitachi Group seems to think so. Hitachi recently partnered with Mitsubishi Electric and Intel to receive approval for their Factory Automation Platform as a Service (FA PaaS) Testbed at the Industrial Internet Consortium (IIC), a global non-profit organization. The testbed will operate as a testing platform based on the reference model of IIC to test solutions in controlled scenarios that match real-world conditions, for the ultimate purpose of connecting manufacturing sites with head offices in order to streamline their operations. Hitachi hopes to use the FA PaaS to respond to what they see as a market rapidly growing and demanding faster product development, market introduction, quality improvements and shorter lead times.   Cont'd...

What Super-Efficient Manufacturing Looks Like

The Tesla factory in Fremont, California, and the Gigafactory in Nevada are monuments to science and progress.

Schneider Electric's three steps for implementing Industry 4.0

Eric Emin Wood for IT World Canada:  Manufacturing companies with visions of incorporating the latest automated, cloud-based, analytical tech into their production process need to recognize the value of a measured approach, an original equipment manufacturing (OEM) veteran says. Martin Stephenson, vice president of process automation for OEM Schneider Electric Canada, which specializes in power management, building management, datacentres, and process and automation control, says that while some firms are equipped to embrace the change right away, others might find that implementing what he calls “Industry 4.0” isn’t a good fit for them at all. “Just because you can, doesn’t mean you should,” he says. “Customers need to have a truthful conversation with themselves and say, ‘How do we manage what we do now? Are we ready for this step? … Do we have the right infrastructure? Do we have the right cybersecurity in place?’ There are a lot of discussions to be had before this leap of faith happens.”   Cont'd...

Rise in Robotics Requires New Tax Approach, EU Report Warns

Linda A. Thompson for Bloomberg:  European lawmakers warn that the growing use of robots and artificial intelligence may cause job losses across the continent, threatening to result in plummeting tax revenues if current tax frameworks aren't revised to account for the rise of the robotic workforce. Practitioners told Bloomberg BNA that taxing robots as “electronic persons,” as the EU contemplates in a recent report, would hinder innovation and that other ways of taxing the value that robotics create should be explored. The recent European Parliament Committee on Legal Affairs draft reportrecommends the European Commission adopt a resolution to require companies to report on “the extent and proportion of the contribution of robotics and AI to the economic results of a company for the purpose of taxation and social security contributions.” Its first paragraph references Frankenstein, and comes amid mounting concerns that the rise in automation and artificial intelligence in the workplace will fundamentally alter economies, destroy jobs and jeopardize social welfare programs such as social security.   Cont'd...

China's Midea buys nearly half of German robotics firm Kuka

The Star:  Chinese appliances giant Midea moved a step closer to fulfilling its ambition to acquire German industrial robotics firm Kuka with two weekend deals raising its stake to nearly a majority.  Two of Kuka’s biggest German shareholders – technology company Voith and entrepreneur Friedhelm Loh – said they had decided to take up Midea’s offer of €115 (RM512) per share and sell their stakes.  German news agency DPA reported that Voith had agreed to sell its stake of 25.1% for €1.2bil (RM5.34bil).  And Loh told the business daily Handelsblatt he had decided to sell his stake of 10% for nearly €500mil (RM2.22bil).  Combined with its existing holding of 13.5% in Kuka, the two purchases mean Midea now holds 48.5%, or not far from the outright majority, in the Augsburg-based robot builder.   Cont'd.. .

Understanding Industry 4.0

Process and device will become inseparable. This is the direction were heading in and it is all powered by the capabilities of Industry 4.0.

10 Ways Machine Learning Is Revolutionizing Manufacturing

Louis Columbus for Forbes:  Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production. Machine learning’s core technologies align well with the complex problems manufacturers face daily. From striving to keep supply chains operating efficiently to producing customized, built- to-order products on time, machine learning algorithms have the potential to bring greater predictive accuracy to every phase of production. Many of the algorithms being developed are iterative, designed to learn continually and seek optimized outcomes. These algorithms iterate in milliseconds, enabling manufacturers to seek optimized outcomes in minutes versus months. The ten ways machine learning is revolutionizing manufacturing include the following:

Industry 4.0 breathes new life into cybersecurity

Dave Sutton for IT Pro Portal:  A technical evolution has taken place, which has made cyberthreats more potent than at any other time in our history. According to PricewaterhouseCoopers, over half of British businesses will suffer cyberattacks by 2018. As businesses seek to embrace Industry 4.0, cybersecurity protection must be a top priority for Industrial Control Systems (ICS). These attacks are financially crippling, reduce production and business innovation, and cost lives. In years gone by, legacy ICS were developed with proprietary technology and were isolated from the outside world, so physical perimeter security was deemed adequate and cybersecurity was not relevant. However, today the rise of digital manufacturing means many control systems use open or standardised technologies to both reduce costs and improve performance, employing direct communications between control and business systems. Companies must now be proactive to secure their systems online as well as offline.   Cont'd...

Companies, employees not quite ready for cognitive technology wave of robotics, AI, machine learning

Larry Dignan for Between the Lines:  Robots, artificial intelligence, machine learning and other cognitive technologies will replace about 7 percent of U.S. jobs by 2025 with office and administrative staff taking the biggest hit, according to a Forrester Research forecast. The bad news is jobs will be lost. The good news is that new gigs will be created as cognitive technology takes hold. One reason the disruption won't be larger or happen sooner is that companies aren't ready for the change related to the new automated workforce, said Forrester. Among the key items: 16 percent of U.S. jobs will be replaced, but 9 percent of jobs will be created. That's how Forrester gets to the 7 percent job loss by 2025 figure. Emerging jobs will be robot monitoring pros, data scientists, automation specialists and content curators. 93 percent of automation technologists feel unprepared to take on smart machine technologies. 83 percent saw cognitive computing as critical to their companies' future. 32 percent of respondents said they are prepared for the cognitive technology changes ahead, but only 12 percent are prepared to deal with the human and organizational fallout. 46 percent say the number of jobs will remain about the same and 43 percent of respondents thought jobs would decline. Full Article:

Microscan Visionscape® GigE Camera Performs Precision Measurement of Apertures in Digital Camera Housing at Foxconn

his case study from the electronics manufacturing industry could be applied to other sectors, and as vision technology advances and experience from its practical application is accumulated, there are sure to be even more challenges addressed using precision machine vision solutions.

'UK manufacturers fail to understand Industry 4.0'

Ian Vallely for Works Management:  There isn't enough understanding of Industry 4.0 by UK manufacturers, according to a report by BDO in partnership with the Institution of Mechanical Engineers.  It said just 8% of UK manufacturers have a significant understanding of Industry 4.0 processes despite 59% recognising that the fourth industrial revolution will have a big impact on the sector, according to the report . As the increasing use of automation, data exchange, technology and wider supply chain communications driven by Industry 4.0 provides both huge opportunities and threats to UK manufacturing, there remains a ‘gaping hole’ in the education and understanding of Industry 4.0. According to the BDO Industry 4 0 Report, increased productivity, better data analysis, increased competitiveness and lower manufacturing costs are the top ways in which Industry 4.0 will affect UK manufacturing.   Cont'd...

SME Launches High School Membership Program to Build the Manufacturing Workforce Pipeline

With an anticipated skills gap of 2 million jobs by 2025, the manufacturing industry needs to attract and inspire the next-generation workforce,

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Automation & IIoT - Featured Product

ELATEC RFID Systems – Ensure only those authorized have access

ELATEC RFID Systems - Ensure only those authorized have access

With a tap of the badge, RFID readers from ELATEC provide secure, reliable and easy-to-use user authentication, access control and usage tracking of hardware and software in industrial automation processes. Reader durability in harsh plant floor environments is another essential feature. Choose the right authentication and access control solution and extend RFID card-based capability for the access control of PLC, robot and HMI automation controller software and devices requiring special operator training.