Predictive maintenance is important in a smart factory because it allows a business to mitigate unplanned downtime. By having accurate predictions of when a machine may lose efficiency or malfunction, a company can plan ahead to ensure that the lost production from that machine will not influence their operations.
I had the pleasure of attending Frost & Sullivan's Manufacturing Leadership Council plant tour and roundtable discussion at Merck & Co., Inc.’s Maurice R. Hilleman Center for Vaccine Manufacturing in Durham, NC the last week in November. As the CEO of an Industry 4.0 software provider, I found the experience invaluable in keeping a pulse on the challenges faced by manufacturers today.
Have questions about Oden Technologies, our Industrial IoT platform, or production data and analytics in general? Stop by our booths or presentations at any of the following events, to get answers and meet the Oden team.
It is a common belief that the artificial intelligence (AI) revolution will be detrimental to the job market and lead to significant losses in jobs. In fact, some even believe that AI will completely outpace humans in all areas of productivity, which would result in a fully automated workforce.
All of these examples of IIoT in the manufacturing industry come together to form what is referred to as a “Smart Factory.” When paired with AI and machine learning, a smart factory can start to make predictions that lead to smarter business decisions for a manufacturer.
The Oden Team is proud to announce that our co-founders, Willem Sundblad and Peter Brand, have made this year's Forbes 30 Under 30 Europe Industry List.
Machine-to-machine communication, or M2M, is at the core of what makes a smart factory smart. The smart factory model relies on a machine’s ability to track and report on data that is relevant to its operation and productivity. Without this capacity, the machinery is useless and cannot contribute to the insights that may be generated through a cloud-based platform.
Big data can be likened to the “next wave” of innovation, and it is clearly changing the way that people are making decisions in the manufacturing industry, among others. Although this sounds exciting, there’s plenty of confusion around the way in which big data can be applied to a factory’s operations. By the end of this article, you’ll have a better understanding of exactly what big data enables you to do in your factory.
The Industrial Internet of Things (IIoT) refers to the industrial applications of a network of internet connected devices. The devices that are used in such a system measure, track, and share information about various components in the manufacturing process. IIoT will allow manufacturers to acquire and access vast amounts of data at quicker speeds, ultimately leading to more factory insights and efficiency.
Poor product quality results in low customer satisfaction, refunds and returns, dissolved partnerships with distributors, and an overall nightmare for manufacturers. How do manufacturers swiftly detect and prevent product quality failure in their factories? This is where Industry 4.0 technology comes in.
The production of high-quality products is arguably the most important part of successful manufacturing, but it isn’t cheap. The costs incurred from producing a low-quality product can be much more expensive. Gaining access to data and insights via IoT devices empowers manufacturers to solve quality problems within their plant faster.
New York, NY - Oden Technologies, the New York based manufacturing analytics company, today announced that John Turek has joined the company, as its first Chief Technology Officer. The former SVP Engineering at Jet.com will drive development of the company’s Industrial IoT platform
The cost of downtime in manufacturing can be pretty significant. There are many areas within the manufacturing process that become affected when a system malfunctions or does not operate at its normal efficiency. Downtime influences factors like equipment availability, labor overhead, maintenance, engineering, and production.
In the world of manufacturing, there is plenty of skepticism and mystery surrounding Industry 4.0 technology. Will it live up to the hype? Is it too early to consider? Is the manufacturing industry really moving in this direction? We feel that it’s time to address the objections to adopting advanced technology in manufacturing.
"With waste, there is a concept called Overall Equipment Efficiency (OEE). World-class manufacturing companies score around 85 or above. The hard reality is that most manufacturers score their operations between 30-65. This gap is called the 'hidden factory'.”
Today, we’ll be talking about IoT and sensors, one of the most important terms to understand for manufacturers who aim to build a smart factory. Machine sensors aren’t anything new, but the development of devices that can extract information from these sensors is garnering a new age of information distribution and empowered decision making.
The Wire Journal International (WJI) named our CEO, Willem Sundblad, as one of their "Rising Hotshots" in the wire & cable industry, and is featured in the October 2017 issue of the magazine.
It’s no secret that Industry 4.0 is taking the world by storm. There are dozens of articles published each month regarding Industry 4.0 advancements, how it’s making an impact on the world, and how competitive manufacturers are implementing this technology in their plants to improve the performance of their workforce and to make more with less.
With the manufacturing world moving in the direction of smart factories and Industrial IoT, it is vital that manufacturers understand the terminology associated with those advances, and the technology behind it, or risk getting left in the dust of innovators. With big data serving as one of the basic pillars of Industry 4.0, it shouldn’t be ignored, because it helps manufacturers make data-driven decisions both quickly and accurately.
Digitization. IoT. Big Data. There are plenty of technical buzzwords being thrown around in the world of manufacturing, and it can easily be overwhelming for manufacturers who might not have a background in technology. Innovation happens at lightning speed, and keeping up with the times is difficult. We’re here to clear the waters with this brief glossary for non-technical manufacturers.
With the manufacturing world moving in the direction of smart factories it is vital that manufacturers understand the technology behind it. Big data serves as one of the basic pillars of Industry 4.0, because it helps manufacturers make data-driven decisions both quickly and accurately.
Have questions about Oden Technologies, our Industrial IoT platform, or production data and analytics in general? Stop by our exhibitions or presentations at any of the following events, including our own Oden Extrusion Data Conference, to get your questions answered and meet the Oden team.
Oden Technologies, the New York based industrial analytics company, today announced the completion of its latest financing round of $3.5M. This combined with previous investments brings Oden’s total seed funding to $5.9M. Lead investor in this round was EQT Ventures along with Oden’s existing institutional backers Inbox Capital and LocalGlobe.
Learn all about how the Google Cloud Platform made Oden IoT devices more efficient, secure, and powerful at providing complete production data analytics to our manufacturing clients.
Have questions about Oden Technologies, our Industrial IoT platform, or production data analytics and acquisition in general? Stop by our exhibitions at any of the following plastics and manufacturing trade shows to get your questions answered and meet the Oden team.
Explore the hard numbers on how we have helped our clients increase capactiy and productivity while reducing waste and downtime.
Manufacturers have been talking about Industry 4.0, or the next industrial revolution, for some time now. It’s an important concept, because it will dictate how to stay competitive, but few actually have a good idea of what it means. Especially in extrusion, where advanced control systems have not been commonplace like in Oil & Gas, Aviation, and Power.
We began Oden Technologies under the belief that there’s no higher pursuit than to create things. There are those who forge steel, operate machines, and run factories–the men and women producing the products we use every day, building our world on factory floors everywhere. These Makers know their craft, and with their craft they make incredible things. Oden’s purpose is to empower Makers with data so that they can keep building our world.
At this years Oden Extrusion Data Conference, attendees gained insight into both the importance of being a data-driven culture and ways to increase the quality and efficiency of an extrusion line. Whether you’re looking to truly live by lean manufacturing principles or are trying to improve your root-cause analysis process, this list is a must read.