Predictive Maintenance & Condition Monitoring in Tire Industry

Plant Reliability Solutions for
Tire Industry

Diagnose and fix equipment faults. Reduce unplanned downtime for
all production lines. Enhance operational efficiency and plant productivity.

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Challenges

Tyre and rubber manufacturing plants operate in a production environment where high temperature, high humidity, and by-products can compromise asset reliability. With a growing demand for high quality products at globally competitive pricing, undisrupted production and maximum plant uptime becomes non-negotiable.

A lot depends on plant reliability and maximum availability of mission critical assets. Alas, inefficient maintenance strategies can lead to sudden machine failures, unplanned downtime, reduced productivity, and subsequent erosion of the bottom line.

Potential Solution

To realistically manage machine health and optimize production throughput, condition monitoring, advanced predictive analytics, and responsive maintenance strategies are needed. That is why plant operations and maintenance leaders in the tyre and rubber industry are moving away from reactive maintenance towards a **Predictive Maintenance** model.

Real-time data analytics and intelligent insights can help plan maintenance events and boost the bottom line. For condition monitoring and maintenance teams, this is also the direct route towards achieving plant reliability objectives.

Tire manufacturing plants operate in a production environment where high temperature, high humidity, and by-products can compromise asset reliability. With a growing demand for high quality products at globally competitive pricing, undisrupted production and maximum plant uptime becomes non-negotiable.

A lot depends on plant reliability and maximum availability of mission critical assets. Alas, inefficient maintenance strategies can lead to sudden machine failures, unplanned downtime, reduced productivity, and subsequent erosion of the bottom line.

With a Predictive Maintenance model, the narrative can be changed and plant reliability objectives can be sustainably achieved.

Digital Reliability for Next-Gen Tyre and Rubber Plants

Tyre and rubber manufacturers struggle with data insufficiency while designing responsive maintenance strategies. With a cloud-enabled digital reliability approach critical assets can be better monitored for optimizing production. A global tyre manufacturer achieved 84 hours of additional production uptime with plant reliability solutions.

Prioritize machine health to significantly reduce unplanned process downtimes and machine failures. Realize plant reliability goals with advanced predictive analytics for Tyre and Rubber production.

Increase Plant Uptime

Eliminate unplanned downtime with a cloud-enabled predictive maintenance strategy. Remotely monitor asset performance in real-time, to plan maintenance events that minimally disrupt the plant operations and total output.

Avoid Machine Malfunctions

Extend the life of equipment and Overall Equipment Effectiveness by using real- time condition monitoring and auto-diagnostics solutions. Plan corrective actions based on digital reliability insights and proactively avoid machine malfunctions or breakdowns.

Safe and Productive Workplace

Perform auto-diagnostics with minimal human intervention and no disruption of production lines. Enable plant maintenance teams to procure resources for asset upkeep and planned maintenance event that maximize plant productivity.