Authentise Releases Guidelines

Authentise, provider of data-driven engineering & manufacturing workflow tools, has released Guidelines, a major new rules engine that puts operators back at the heart of digital manufacturing, according to the company.

Guidelines is a new set of features accessible to users of aMES, Authentise’s end-to-end, connected workflow engine for additive manufacturing. It enables users to formulate if-this-then-that rules that use any type of engineering or production data as input. These rules then trigger suggestions at any point in the process.

With Guidelines, a combination of machine sensor feedback, geometry features or quality assurance measurements can be used as triggers to suggest changes in behavior or parameters that will ensure a more sustainable production outcome. These suggestions are delivered to the user when required, during the engineering stages or in production. 

“If-this-then-that rules are not new in robotic process automation but have yet to be used successfully in the manufacturing context beyond basic principles such as quoting,” says Andre Wegner, CEO of Authentise. “We realized their broader power almost immediately and spent the last 10 years building, with aMES, a contextual data engine capable of harnessing them. They represent a break from more prescriptive tools, such as our workflow generator.

"This permissive approach makes them the ideal channel to ensure that rules are followed while giving experienced engineers and operators the latitude to make the decisions necessary on a case-by-case basis,” Wegner adds.

“There is great value in considering how Standards can be fully applied in the digital world," says Dr Martin White, head of Additive Manufacturing Programs – Europe at ASTM Additive Manufacturing Center of Excellence. “Guidelines has the potential to evolve how Standards can be accessed and embedded in manufacturing processes with increased accessibility. We’re excited to work with Authentise to ensure that users can access applicable standards in this way.”

“Guidelines very intentionally puts the power to make decisions back into the hands of those on the frontlines, whom most of the Industry 4.0 movement has so far marginalized,” adds Simon McCaldin, VP of Open Innovation at Authentise. “We believe this will, in the medium term, also help us deliver more acceptable forms of Artificial Intelligence to the industry. aMES has now reached the level of maturity necessary to capture the data that can drive advanced machine learning systems.”

Sources: Press materials received from the company and additional information gleaned from the company’s website.