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The latest statistical process control software offers manufacturers easy-to-use and effective real-time process quality control

Cutting tool and tooling systems specialist Sandvik Coromant has unveiled its CoroPlus suite of Industrial Internet of Things (IIoT) solutions aimed at helping manufacturers prepare for Industry 4.0. The concept is designed specifically to improve the control of productivity and costs through a combination of machine connectivity and CoroPlus – the suite of connectivity solutions from Sandvik Coromant – helps manufacturers prepare for Industry 4.0 access to manufacturing data and expert knowledge.

Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.

Unveiled at its Insights 2017 customer conference today, Epicor Software Corporation, a global provider of industry-specific enterprise software to promote business growth, introduced the latest version of Epicor ERP, the global enterprise resource planning solution in use today by thousands of customers in 150 countries worldwide.

One of the most cost-effective ways to obtain the benefits of automation is by adding a bar feeder to a CNC lathe or other bar machine. Costing anywhere from about $10,000 to $40,000 depending on configuration, the devices can add hours of untended operating time for part volumes of a few hundred to tens of thousands.

An eternal truth is that manufacturing will always push the limits on cost, performance, and especially quality. “Tolerances never get looser, they always get tighter,” remarked Gene Hancz, product specialist, CMM of Mitutoyo America Corp. (Aurora, IL).

Manufacturers are accelerating use of Internet of Things (IoT) technology, according to a survey of 66 companies.

The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.

Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.

Manufacturers must wrestle with the “Black Hats” of the cyberworld in order to keep processes secure