Maintenance Strategies

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You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.

A recent study by ABB reveals just how much unplanned downtime costs, but implementing a modernization strategy can help.

There was a time most maintenance and EAM software operated strictly within a facility or enterprise, but the development of AI and off-premises, cloud-based computing has made it possible to do heavy computing and trending in the cloud. But what happens when the “cloud” goes down?

Success in operational readiness is all about data collection. When predictive maintenance systems are integrated with actionable alert-enabled HMIs, OEE increases.

As machinery ages, what are the options for keeping it running smoothly and extending its lifespan? There are specific best practices that can help food processors extend the life of their machinery. 

For food processors, removing suspended solids such as fats, grease, grit, contaminants and leftover process materials from liquids is necessary to comply with regulations like the EPA’s Clean Water Act.

While capital upgrades grab attention and budgets, the most substantial energy losses often hide in plain sight in deferred maintenance issues that create systemic inefficiencies throughout facilities.

Today’s filling machines can achieve extremely accurate and precise fills, and real-time monitoring and maintenance prevent wasteful overfills, underfills, and sporadic and inaccurate fills.

It wasn’t that long ago that maintenance systems were an afterthought to control systems. Today, sensors and software focused on maintenance run on edge-based equipment in parallel with control systems, letting manufacturers plan for processing and maintenance in an orderly and sensible way.

Attempting to apply IT standards to OT assets as-is often fails to account for critical differences between enterprise and manufacturing environments.