Mean time to repair (MTTR) is an important maintenance metric. MTTR establishes the reparability of equipment and the effectiveness of maintenance practices. For the sake of limiting maintenance costs and improving overall equipment effectiveness (OEE), lower MTTR is better—and AiSight’s predictive maintenance solution can help. Maintenance is expensive. Typically, maintenance costs account for up to 40% of production costs. And running a machine to failure can cost up to ten times as much as regular preventative maintenance. Proactive maintenance is key to preventing expensive instances of e ..read more

Die Covid-19-Pandemie hat in den letzten drei Jahren zu enormen Veränderungen im Management industrieller Instandhaltung geführt. Außerdem bringen Konzepte wie Industrie 4.0 und 5.0 für Instandhaltungsteams weltweit kontinuierlichen Wandel, wie wir bereits in diesem Blogartikel erläutert haben. Inmitten all dieser Veränderungen ist eines jedoch sicher: Instandhaltungsleiter*innen stehen bei dieser digitalen Transformation der Industrie an vorderster Front. Doch wie genau kann der Weg zum Erfolg für Instandhaltungsteams im Jahr 2023 aussehen? In diesem Artikel sprechen wir zunächst über die Ro ..read more

We make and use tools to solve problems. AiSight makes a predictive maintenance solution; maintenance professionals and reliability engineers use this tool to solve the problem of imperfect information about machine condition. When they integrate the AiSight solution into their maintenance processes, they can end unplanned downtime. Integration into maintenance processes improves maintenance efficiency and increases machine uptime. But it also opens opportunities for deeper integration, in maintenance, production, and other processes—all of which pay out in improved productivity. This article ..read more

Warum Ausfallzeiten derzeit kritischer denn je sind Zellstoff- und Papierhersteller weltweit stehen aktuell unter hohem Druck, ihre Produkte rechtzeitig auf den Markt zu bringen. Zusätzlich wird es zunehmend schwieriger Gewinnspannen zu sichern, da die derzeitige wirtschaftliche Lage unbeständig ist und ungeplante Ausfallzeiten von Anlagen hohe Produktionsverluste verursachen. Speziell die steigenden Energie- und Rohstoffkosten sowie die Auflagen zur Einhaltung von Gesundheits-, Sicherheits- und Umweltgesetzen haben das Problem noch zusätzlich verschärft. Im Herbst 2022 beschloss Lecta – ein ..read more

Since launch a month ago, the AiSight Machine Insight Center (MIC) has been providing our predictive maintenance solution’s users with early warning of machine failures and machine insights they can count on, all in a fast, intuitive, and scalable software package. This is exactly what we wanted because this is exactly what our users wanted! But it’s not all that our users want. That’s still to come. In previous parts of this series, we looked at how rebuilding our predictive maintenance solution’s software from the ground up would create opportunities for feature growth. That’s what we’re wo ..read more

Die Rechnung ist einfach: Je mehr Menschen es auf dieser Erde gibt, umso mehr Ressourcen benötigen wir. Aktuelle Zahlen belaufen sich auf rund 8 Milliarden Menschen, die die Erde bevölkern und täglich Nahrung, Kleidung und Unterkünfte benötigen. Die Nachfrage nach Gütern steigt, was bedeutet, dass immer mehr produziert werden muss, was wiederum vermehrte Umweltverschmutzung mit sich bringt. Kohlendioxidemissionen, die durch die Verbrennung fossiler Brennstoffe und industrieller Prozesse freigesetzt werden, sind laut dem Bericht Sustainable Manufacturing von Deloitte zwischen 2000 und 2020 wel ..read more

The new AiSight Machine Insight Center is next-generation software for our predictive maintenance solution, developed based on feedback from the maintenance and production professionals who use our solution every day. Thanks to that user feedback, we’ve rebuilt our software from the ground up We can now incorporate new features like machine histories, visualized alerts, more flexible organization options, and user permissions, into a faster, more intuitive, and more scalable piece of software. And we plan to continue collecting feedback in order to keep making the Machine Insight Center bette ..read more

Industrial fans are critical equipment in almost all manufacturing and processing processes. They control machine temperatures. They remove dust. They're a vital part of HVAC systems, keeping workplace temperatures, humidity levels, and air quality safe and comfortable. They move hot air within ovens and kilns. They move lightweight materials along lines. When a fan or blower breaks down, it's simply bad for business. That's why AiSight's predictive maintenance solution keeps fans spinning. This article looks at how fans work, and how predictive maintenance works to keep fans working. How fan ..read more

AiSight's  Machine Insight Center is the all-new software for our predictive maintenance solution. We want this to be the best user interface possible. That’s why we’re collecting feedback from maintenance and production professionals who use our solution—this feedback is at the heart of our development process. This goes back to the earliest stages of the Machine Insight Center’s development. Thanks to user feedback, we knew that we’d need to build new software from the ground up. If you missed the introduction to this series, you can read more about that decision here. It's also thanks ..read more

We've been hard at work developing new software for the AiSight predictive maintenance solution. And the all-new Machine Insight Center is now in full effect, providing insights, preventing downtime. We developed the AiSight Machine Insight Center based on feedback from users like you—the production and maintenance professionals who rely on our predictive maintenance solution to prevent unplanned downtime. And we want our users to be a part of the Machine Insight Center's continued development. This article is an introduction to a series about the Machine Insight Center. This series will serv ..read more