Using continuous measurements reduces or even eliminates the production of faulty products and allows for consistent and repeatable production. This used to be an impossible task for small products.
Artemis Vision, a company with more than 10 years of experience in quality assurance for manufacturing processes, develops vision systems for industrial automated inspection and logistics optimization that deliver reproducible and reliable results.
A routine issue faced by most manufacturers is their process variation. Variability in the process can wreak havoc on product quality and customer satisfaction. Also, it has a severe impact on revenue, cost, and margins.
The U.S. has been seeing declines in skilled labor during the past few years as experienced and knowledgeable employees continue to retire while fewer are choosing employment in factories or skilled trades.
Due to digitalization in Industry 4.0, internal logistics is subject to constant change. Internal traceability, i.e. the tracking of goods in the warehouse or production facility, is increasingly playing a key role.
While errors are far less likely with CNC machines than manual processes, they can still happen. When they do, they can create bottlenecks, lead to waste and, if not caught, hamper client-customer relationships through poor-quality products.
As situations and equipment are constantly evolving based on consumer demand and market disruptions, manufacturers need to respond quickly to capitalize on new opportunities, and this requires agile reconfigurations that maintain a prioritization of worker safety.
The company's unique objectives required PSbyM to modify its own processes for the six-month engagement. First, a far more detailed assessment of operations was completed by practitioners, including focus groups and deep dives into equipment-design elements.
Leveraging artificial intelligence (AI), the manufacturing industry can protect workers better and ensure that all employees wear gear to stay compliant with Personal Protective Equipment (PPE) protocols to avoid costly penalties.
Often robots have enough mass, speed, and inertia that any contact with humans creates the primary hazard; process driven hazards, for example sparks/splatter and UV light in a robotic welding process becomes the secondary hazard.
A recycling center customer was looking for a high-performance, industrial-grade Artificial Intelligence (AI) solution that could successfully function in harsh environments. The customer needed an automated solution to help identify certain materials on the recycling line.
As we move further down the road to the full digitalization of business, this idea of maximizing outputs while minimizing operational costs is essential to keep manufacturing efficient and match market demand.
In today's competitive business environment, customization is key. Manufacturers in all industries are expected to provide a wide range of sizes, colors, styles and assortments, and they're finding that flexible manufacturing strategies are essential for staying competitive.
The demands on manufacturers are enormous: it is not only a matter of producing large quantities quickly, but also of maintaining particularly high quality standards. At the same time, increasing production capacity is usually time and capital intensive.
As product ideas become more complex, customers are looking for partners with advanced capabilities to help turn concepts into tangible goods reliably, efficiently and quickly. Flex's Paul Baldassari shares how simulation plays a critical role in this process.
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Processing & Handling - Featured Product
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