Mr. Turner is the Director of ¶¼ÁéÌåÓýÖ±²¥ for FA Consulting & ¶¼ÁéÌåÓýÖ±²¥ (FAC&T) and member of the MTConnect Institute. Mr. Turner was one of the team members at the start of the development of MTConnect and has spent his entire career in the field of industrial automation, machine tools, and control technologies.   He spent over 30 years with GE and GE Fanuc Automation in a wide variety of management roles in sales, marketing, product development and operations.   While at GE Fanuc, Mr. Turner’s team developed and deployed the first commercially available MTConnect Agent/Adapter called mi-Link. Additionally, he was previously Vice President of Engineering and COO for CimWorks, a subsidiary of GE Fanuc Automation providing hardware and software solutions for the Statistical Process Control (SPC Quality) market. In 2009, Mr. Turner formed FAC&T where he applies his knowledge and expertise to advancing the state of manufacturing technology specializing in the area of shop floor productivity.
Mr. Turner is the Director of ¶¼ÁéÌåÓýÖ±²¥ for FA Consulting & ¶¼ÁéÌåÓýÖ±²¥ (FAC&T) and member of the MTConnect Institute. Mr. Turner was one of the team members at the start of the development of MTConnect and has spent his entire career in the field of industrial automation, machine tools, and control technologies.   He spent over 30 years with GE and GE Fanuc Automation in a wide variety of management roles in sales, marketing, product development and operations.   While at GE Fanuc, Mr. Turner’s team developed and deployed the first commercially available MTConnect Agent/Adapter called mi-Link. Additionally, he was previously Vice President of Engineering and COO for CimWorks, a subsidiary of GE Fanuc Automation providing hardware and software solutions for the Statistical Process Control (SPC Quality) market. In 2009, Mr. Turner formed FAC&T where he applies his knowledge and expertise to advancing the state of manufacturing technology specializing in the area of shop floor productivity.
Successfully implementing edge computing into your shop floor may be more cost efficient than you think! Here are a couple ways your shop (and budget) can benefit. Bonus: Edge computing devices can also bolster your cybersecurity measures, saving you more!
In collecting data for digital manufacturing, the underlying system architecture for collecting and storing the data can significantly impact the system's benefits and its flexibility for future extensions. We examine two types that may address your needs.
Edge computing in digital manufacturing involves placing devices between data sources and the network, and ranges from basic data collection to distributed systems. Learn more about its benefits like data processing, isolation, organization, and security.
What are the benefits of harvesting semantic data from equipment on the shop floor? For starters, it's easier to integrate machines into shop maintenance and monitoring systems. Learn how the industry has responded to semantic data – and where it's going.
The NFPA has updated their ¶¼ÁéÌåÓýÖ±²¥ Roadmap and identified three areas for future improvement to the production and application of hydraulic and pneumatic fluid power components: improving data use, reliability/durability, and control systems.
The internet opens a whole new way to think about data sources, raising concerns about network security and data validity. Learn about the two major ways to access such data: accessed and transferred in bulk for storage; and accessed on demand.
Remember the old adage: "Garbage in" equals "garbage out." But is the data you collect good? Learn more about measured and processed manufacturing data, how they form the foundation of all digital manufacturing systems, and strategies to ensure quality.
Many companies collect data from their manufacturing operations to increase productivity and improve shop operations. Others do so as part of a contractual obligation to their customers.
Data collection and storage is the process of gathering, arranging, and making data available for analytics. Since data quality is vital, companies must decide what should be collected and stored using newer tech like data lakes and cloud storage.
Data from CNCs, PLCs, industrial PCs, robots, sensors, and other external sources form the foundation of any digital manufacturing solution. The challenges are in determining which data is important, understanding it, cybersecurity, and data validation.