MCADCafe Editorial Sanjay Gangal
Sanjay Gangal is the President of IBSystems, the parent company of AECCafe.com, MCADCafe, EDACafe.Com, GISCafe.Com, and ShareCG.Com. MachineMetrics: Revolutionizing the Future of ManufacturingAugust 30th, 2024 by Sanjay Gangal
In the ever-evolving landscape of modern manufacturing, connectivity and real-time data analytics have become essential tools for factories aiming to stay competitive. At the forefront of this digital revolution is MachineMetrics, a company that, over the past decade, has established itself as a pioneer in the industrial Internet of Things (IoT) sector. Founded nearly ten years ago by Eric Fogg and two co-founders, MachineMetrics is transforming how manufacturers monitor, analyze, and optimize their production processes. From Humble Beginnings to Industry LeadershipMachineMetrics began with a simple yet powerful idea: to provide real-time visibility into machine performance on the shop floor. The company’s early efforts focused on delivering basic reports that enabled stakeholders to understand machine status in real-time. “We started with basic reports for manufacturing stakeholders, and from there, we’ve grown significantly,” Fogg explains. Today, MachineMetrics has evolved into a robust platform that not only monitors machine data but also integrates seamlessly with other crucial factory systems such as maintenance, ERP, and quality management systems. This growth trajectory is reflected in the company’s latest innovations, which were showcased at the International Manufacturing Technology Show (IMTS). Among the highlights were new features for scheduling intelligence and anomaly detection, tools that promise to further reduce downtime and enhance efficiency on the shop floor.
Scheduling Intelligence: A Game-Changer for ManufacturersOne of the most exciting advancements from MachineMetrics is its scheduling intelligence feature, a tool that Fogg describes as the realization of a decade-long dream. “Scheduling has always been a challenge, especially in job shops where jobs are constantly moving,” Fogg says. The new feature provides manufacturers with a real-time view of job progress, allowing them to see whether jobs are on schedule, ahead, or falling behind. With a simple drag-and-drop interface, users can adjust job schedules on the fly, with immediate visibility into how these changes will impact other jobs in the production line. “Your response time as a scheduler is now minutes instead of hours or days,” Fogg notes, emphasizing the feature’s ability to drastically improve reaction times and reduce delays. This capability is particularly valuable in an industry where every minute of downtime can translate into significant financial losses. Overcoming Connectivity ChallengesDespite the undeniable benefits of data-driven manufacturing, implementing connectivity solutions in factories is not without its challenges. Fogg points out that the diversity of machinery—often of different ages, types, and manufacturers—poses a significant hurdle. “It’s more common to find a customer with 100 machines where 90 of them are completely different,” he says. MachineMetrics has spent the past decade developing machine adapters that can extract data from a wide array of machine controls, making it easier for manufacturers to achieve seamless connectivity. Beyond software, the physical infrastructure of factories can also complicate connectivity efforts. Running Ethernet cables or setting up Wi-Fi in a factory environment, where electromagnetic interference is common, can be daunting. Yet, as Fogg asserts, these are challenges that MachineMetrics has faced—and solved—countless times. The Future of Smart ManufacturingLooking ahead, Fogg envisions a future where MachineMetrics will play a pivotal role in creating fully automated manufacturing execution systems (MES). “We want companies to manage themselves with the benefits of an MES or an MES-connected ERP without any manual data entry,” Fogg says. This vision is already becoming a reality, with MachineMetrics automating more processes and providing deeper insights through data analytics. A key component of this future is the company’s ongoing development of anomaly detection capabilities, which were also featured at IMTS. By analyzing data such as motor torque, temperature, and vibration, MachineMetrics can predict machine and tool failures before they occur, allowing manufacturers to preempt costly downtime. Staying Ahead of the CurveIn a rapidly changing industry, staying ahead of trends is crucial. Fogg emphasizes the importance of maintaining close communication with customers to understand their evolving needs. “The more we communicate with our customers, the better we can funnel that information into our product,” he says. This customer-centric approach, coupled with significant investments in product development and engineering, ensures that MachineMetrics remains a leader in the industrial IoT space. For those eager to learn more about MachineMetrics and its groundbreaking technologies, the company’s website offers a wealth of information. Additionally, MachineMetrics will be exhibiting at IMTS, where attendees can engage directly with the team, including the engineers behind these innovative solutions. A Personal TouchBeyond his professional endeavors, Fogg is deeply passionate about manufacturing—so much so that his personal hobbies often overlap with his work. His basement is filled with 3D printing equipment and old manual machines, and he enjoys collecting vintage manufacturing books to discover new methods for creating complex parts. This hands-on experience and relentless curiosity are what drive Fogg and MachineMetrics to continually push the boundaries of what’s possible in manufacturing. As the interview concludes, Fogg hints at his future dreams, including a move to the countryside where he can finally get the dog he’s always wanted. For now, though, his focus remains on MachineMetrics and the role it will play in shaping the future of smart manufacturing. About the Author: Tags: anomaly detection, industrial IoT, MachineMetrics, manufacturing data analytics, scheduling intelligence, smart manufacturing Categories: MachineMetrics, Video Interview |