Skip to main content
GERÇEK DÜNYA UYGULAMASI

Üretimde öngörücü bakım

Ölçeklenebilir öngörücü bakım çözümleriyle üretkenliği artırın, sürdürülebilirliği iyileştirin ve maliyetli düzeltmelere olan ihtiyacı azaltın. Otomatik analiz, yapay zekâ ve sohbet tabanlı arayüzüyle öngörücü bakım her zamankinden daha kolay.

A factory line with machinery and equipment, possibly for predictive maintenance.

Challenge

Unplanned machine downtime is a significant cost for food and beverage companies. Every breakdown results in loss of labor, raw materials and sales, affecting not only your bottom line, but your reputation and the environment.

Solution

Predictive maintenance offers advanced analytics of your machine and system data. The platform facilitates streamlined decision-making between users, AI and maintenance experts, minimizing downtime and optimizing resource allocation.

Support cohesive operations and decision making

Manual analysis leads to gaps in maintenance and difficulty aligning with asset reliability and performance goals. With advanced analytics and AI, food and beverage manufacturers can now enact scalable predictive maintenance in production across assets and sites, leading to:

  • Reduced unplanned machine downtime
  • Increased maintenance worker productivity
  • Improved flexibility and collaboration
  • Reduced energy consumption and waste
  • Minimized environmental impact
A maintenance worker is using a tablet to monitor a machine in a factory setting.

Automated

Automated analytics generate machine and maintenance worker behavior models, providing actionable insights without manual intervention.

Integrated and secure

Process data from different maintenance software within a private cloud environment, safeguarded against external access.

Conversational

Through machine learning analysis, the platform delivers notifications using interactive, conversational AI.

Herhangi bir sorunuz mu var?

Haydi sohbet edelim. Bize ulaşın, nereden başlayacağınızı belirlemenize yardımcı olalım.