Challenges
Predictive maintenance
87% of chief supply chain officers say it is extremely difficult to predict and manage disruptions in manufacturing supply chain management and logistics*. Many manufacturers are facing inconsistencies on the production line in the process so that issues can be corrected in real time. Risks of breakdowns slow production process and deliveries, which affect customer satisfaction and loyalty.
Objectives
• Stay in compliance with stringent regulatory requirements • Predict when machines/equipment are likely to fail and recommending optimal times to conduct maintenance • Predict potential problems and identify when specific parts need to be replaced, attaining a high level of reliability in the process.
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Solutions
Beyond minimizing downtime, computer vision solutions empowered by edge computing servers reduces maintenance costs and increases productivity. It enables manufacturers to predict issues, purchase replacement parts and plan human resources to maintain machines, without disturbing the production line.
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