LNS joined the Open Process Automation (OPA) Forum in early 2017. A year after, here is our assessment on how far the forum has come and what the remainder of 2018 means. The OPA forum made some considerable progress in 2017, but 2018 will be the real indicator of OPA’s success or failure. The most prominent challenge facing OPA is breaking the mindset that the future must evolve from the past in small steps. OPA needs a mutation to change the way the industry needs. There will be winners and losers in any technology evolution, and the next generation of process control automation systems will be no exception.Read More
Last year was big for the environment, health, and safety (EHS) business function, regarding the technology available to manage it, and industry developments that impacted EHS. For the most part, the trends we projected in our 2017 trend and impacts to watch blog were realized, or at least advanced substantially.Read More
Categories: Operational Excellence, Big Data, Industrial Automation, Culture, ISO Standards, Industrial Internet of Things (IIoT), Industrial Transformation / Digital Transformation, Industry 4.0 / Smart Manufacturing, Artificial Intelligence / Machine Learning (AI/ML), Environment, Health and Safety (EHS)
Robots: What About Our Jobs?
The Wharton School of the University of Pennsylvania recently published an article, “The Robots are Coming…to Take Your Job,” where the capabilities of robots and job security were brought into question. Since robotics, automation, and smart connected operations have become more profound in manufacturing plants, jobs have decreased according to the article. Commenting on the up rise of robots and smart connected assets used on the plant floor is LNS Research Principal Analyst, Dan Miklovic.Read More
Sight Machine Leads Automotive Digital Transformation
Digital Transformation is in the air, and that’s why Martinrea Manchester Division, an automotive supplier, has chosen Sight Machine, a leader in manufacturing analytics platforms, to revolutionize the way it uses big data and drive its manufacturing Digital Transformation.Read More
Recent LNS Research cross-industry survey data tells us that almost 50% of respondents have no plans regarding implementation of the Industrial Internet of Things (IIoT).Read More
Categories: Industrial Automation
Every year, there are a few unavoidable topics as you scroll through your newsfeed. Throughout 2014, a main one has been industrial automation—specifically how the expected sharp rise in robotics investments over the coming years has the potential to cause mass unemployment in the industrial sector. Fear mongers and more rational thinkers alike seem to agree there’s cause for concern.
If you’re currently planning on implementing a Manufacturing Execution System (MES) or other applications in the Manufacturing Operations Management (MOM) space, you may think you have all the shop-floor areas and situations that still use manual, paper-based processes identified, but this may not necessarily be the case.
It’s no surprise that the manufacturing sector has a growing problem with its aging workforce. Partly due to the outdated perspective where one might go to work in an old factory, making sure screw A goes into hole B all day, the career path isn’t a top choice for today’s young adults just graduating from college. In reality, though, modern manufacturing entails a considerable amount of interaction with advanced technologies and interesting applications that require a diverse and educated skillset.