Manufacturers across the U.S. are experiencing a damaging shortage of skilled labor — negatively impacting their ability to produce goods and their bottom lines. As companies search for automated solutions, Seegrid’s vision-powered AGVs are leading the market by solving the biggest challenges in manufacturing, distribution, e-commerce, and fulfillment.
Seegrid’s vision-powered automated guided vehicles (AGVs) do exactly what we train them to do—on time, every time, any time, day or night. Our AGVs, also known as Vision Guided Vehicles (VGV), bring revolutionary technology to the manufacturing floor, streamlining workflow and improving throughput activity.
Machines on the plant floor will soon actively identify problems, determine a course of action, execute, and measure those results—all without human interaction. It's not the Jetsons—it's the Industrial Internet of Things (IIoT), and it's already beginning to reshape manufacturing. Though many manufacturers are just starting to explore the implications of IIoT, the Internet of Things (IoT) has been generating buzz for years and already represents a booming market opportunity.
Myth: A myth is an "idea or story that is believed by many but is not true." So why is it, then, that we're quick to assume that ideas without any factual basis are, in fact, true?
In a dynamic production environment, as companies continue to experience an increase in manufacturing complexities, there is typically an increase in labor resources as well. For operations managers, it becomes a balancing act to manage the production process and have resources to remain productive.
Lean manufacturing or lean production, as we know, is not a new approach for implementing efficient manufacturing processes. Lean is a well-known philosophy and has been part of manufacturing methods since the 1990s, but as customers increase the stakes for manufacturers to remain competitive by expecting shorter cycle time and wanting custom orders, it is becoming a goal to have flexible manufacturing methods. Flexible manufacturing works well for demand swings in the production process.