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Process improvement encompasses a wide range of tools, techniques and strategies. When properly deployed, shop-floor data collection and monitoring systems can help factory-floor managers leverage key data metrics including overall equipment effectiveness (OEE) and total effective equipment performance (TEEP) that measure machine uptime and pinpoint bottlenecks or other problems in order to improve machining performance.

Nesting is the process of arranging parts to be cut from sheets of metal or wood in the most efficient manner possible in order to maximize yield and speed the cutting process. By reducing scrap and accelerating the cutting process, fabricators are saving on material cost while running more jobs.

The cost benefits of deploying multitask machine tools are undeniable, with multitask machines offering the ability to perform many machining operations on parts with just a single setup.

Highly realistic 3-D simulation software can greatly improve manufacturing processes, lending sophisticated visualization tools that help increase manufacturing productivity and product quality.

Predictive maintenance is a way to predict every possible scenario of hardware failure, identifying when maintenance is required and alerting maintenance staff, when necessary, as well as providing preventative solutions.

High QA, Inc., the developer of Inspection Manager Quality Management Software, has established a headquarters operation in Sevenum, Netherlands, to directly serve its customers on the European continent.

Speeding the flow of jobs through the shop, while maintaining top quality, ranks among the hallmarks of any successful manufacturing operation’s goals.

The virtualization of business-critical infrastructure is transforming the production and distribution of goods and services throughout the supply chain as industrial organizations shift focus from private to public and, ultimately, hybrid cloud deployments that connect and integrate on-premise resources with cloud resources.

While 3D scanning has already been adopted by many automotive part manufacturers, the use cases in Quality Control (QC) have been limited.

There are plenty of manufacturing catchphrases: the Industrial Internet of Things (IIoT), Industry 4.0 and the Digital Factory. “Sometimes it’s a lot of buzzwords. Sometimes there’s a lot of reality behind it,” said Roger Hart, research and development manager of Siemens (Berlin and Munich, Germany).