The manufacturing center relied heavily on Clean-In-Place (CIP) systems to ensure production vessels remained hygienic and compliant with strict industry safety standards. However, maintaining these systems was becoming increasingly challenging:
The organization urgently needed a way to shift from reactive maintenance to a predictive, data-driven approach to restore reliability and efficiency.
To address the recurring failures and inefficiencies, Infocepts designed and implemented a predictive maintenance solution tailored for CIP equipment, leveraging advanced analytics and machine learning.
Implementing the predictive maintenance solution delivered both immediate operational gains and long-term value:
