Since becoming a standard 15 years ago, PackML has proven to be a powerful development and production tool. End users worldwide rely on PackML’s state model and consistent terminology to easily integrate disparate machines on a packaging line, manage production problems and simplify training. A large number of OEMs use PackML to shorten engineering and commissioning time, improve quality and create reusable code. End users, OEMs and technology providers are now turning their attention to PackML’s potential in process optimization and monitoring Overall Equipment Effectiveness (OEE) and line efficiency — at both the plant and enterprise level.
PackML’s defined data points, called PackTags, provide the raw data necessary for end users to monitor Key Performance Indicators (KPIs) and machine efficiency in real time. A number of end users now integrate raw PackTag data from machines and sensors into their OEE calculations. Typical OEE metrics taking advantage of PackTag data include availability, performance and quality. OEMs and technology providers are increasingly supporting end user efforts to use PackML for OEE, while also using PackTag data to identify potential improvements to their products.