Production Reliability for
Tire & Rubber Industry

Production Reliability for
Tire & Rubber Industry

In zero-defect tire & rubber manufacturing, prescriptive maintenance and energy optimization are critical to prevent
failures, control defects, and maintain continuous production. From mixers to curing presses, real-time diagnostics and
targeted actions help reduce rejects, avoid downtime, and stabilize high-energy operations.

Strategic Challenges

Industrial AI for Reliable
Tire & Rubber Manufacturing

Tire industry = zero-defect, high-energy, volatile supply chain

In tire manufacturing, every defect risks recalls, every outage risks millions
Prescriptive Maintenance & Energy Optimization with Proven ROI in 6–12 Months

Isometric diagram of the tire manufacturing process showing each step from raw materials to finished tires, emphasizing accuracy and reliability for the tire and rubber industry.

Banbury Mixer
Master Mixer TSS Screw TSS Calender gearbox Dust Collecting Blower

Milling Section
Hold Mill Feed Mil Cracker Mill

Extruder
Duplex Extruder Triplex Extruder Quadraplex Extruder Cushion Feed Extruder Pork chop Extruder Belt Extruder

Bead Construction
Bead Apex Extruder Thread Applicator Strip Winding Extruder

Inner Liner Calendering
Inner liner extruder Inner Liner Roll

Fabric Cord Calendering
Pork chop Extruder Calendar Hold Mill Calendar Feed Mill Calendar Rolls (4 roll section) Cushion Calendar

Steel Belt Calendering

Steel Belt Cutting

Fabric Ply Cutting

Tyre Building

Curing & Inspection

Critical equipment like internal mixers and curing presses operate under extreme
heat and pressure, where unexpected failures can halt lines, cause costly rejects,
and disrupt tight delivery schedules. Energy-intensive curing and mixing processes
drive high power consumption, making inefficiencies costly.

 Our Customer Speaks

Trusted by global manufacturers for delivering measurable
reliability,
energy efficiency, and operational excellence.

Mr. Ashish ChandraPlant President, JSW Steel, Dolvi, India

Infinite Uptime doesn’t just measure vibrations – they analyze, recommend corrections, and address chronic rotating machinery issues with prescriptions like improving alignment, balancing that has helped with uptime, equipment availability, and overall plant performance.

Mr. Amit KhannaVP Business Excellence, Tata Steel

four months of outage by detecting component wear early and replacing it in just three days. This first instance showed our team the power of equipment communicating directly, sparking the creation of our success story.

Outcomes Delivered

Plants Digitalized
0
Breakdowns Avoided
0
Unplanned Downtime
Hours Eliminated
0
*Note – Data As of November 20, 2025 Source- PlantOS™ Digital Reporting System – User Validated True Positives & False Negative Rate

The PlantOS™ Difference

PlantOS™ delivers prescriptive intelligence across continuous
and batch chemical operations by monitoring all critical equipment such as:
It recommends the right fixes before breakdowns occur and
pinpoints energy optimization opportunities across the process.

Tires

Curing Presses
Rotating mechanical presses and hydraulics
Banbury Mixer

Rotating shafts and rollers

Extruders
Rotating screws and motors

Prescriptive Maintenance & Digital Reliability for Tire & Rubber Operations

In tire and rubber manufacturing, production reliability is closely tied to process consistency, equipment performance, and product quality. Critical assets such as Banbury mixers, curing presses, and extruders operate under extreme heat, pressure, and load conditions, where even minor deviations can lead to defects, rejects, or complete line stoppages.

Many plants still face challenges with limited visibility into early-stage equipment degradation and process variability. This makes it difficult to respond before issues impact production quality or throughput.

PlantOS™ enables a shift from conventional monitoring to prescriptive maintenance, where continuous condition monitoring and process data are translated into clear, actionable insights. By analyzing vibration, temperature, load behavior, and process parameters, it identifies failure modes such as imbalance, wear, misalignment, and hydraulic inefficiencies, and recommends precise corrective actions.

This allows teams to move from reactive interventions to condition-based, need-driven maintenance, ensuring higher uptime and consistent product output.

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    FAQs

    Get answers to common questions.

    How does prescriptive maintenance improve production reliability in tire manufacturing?

    Prescriptive maintenance improves reliability by identifying early-stage equipment issues and recommending exact corrective actions. In tire manufacturing, this helps prevent failures in mixers, curing presses, and extruders—reducing downtime, minimizing defects, and ensuring continuous production.

    What are the most common causes of defects and downtime in tire and rubber plants?

    Common causes include equipment misalignment, wear in rotating components, hydraulic inefficiencies, and process instability. Failures in critical assets like Banbury mixers and curing presses can lead to rejects, production losses, and costly delays.

    How can tire manufacturers reduce product defects using AI-driven maintenance?

    AI-driven maintenance continuously monitors equipment and process parameters such as vibration, temperature, and load conditions. By detecting anomalies early and recommending corrective actions, it helps maintain process consistency and significantly reduce product defects and rejects.

    Why is real-time condition monitoring critical in tire and rubber operations?

    Tire manufacturing involves high heat, pressure, and continuous production cycles. Real-time monitoring ensures early detection of equipment degradation, helping prevent unexpected failures, maintain product quality, and avoid costly line stoppages.

    What is the ROI of implementing prescriptive maintenance in tire manufacturing plants?

    Most tire and rubber plants achieve ROI within 6–12 months through reduced downtime, lower rejection rates, improved energy efficiency, and optimized maintenance planning. Preventing even a single major failure can result in significant cost savings.

    How does PlantOS™ help improve uptime and energy efficiency in tire plants?

    PlantOS™ analyzes equipment behavior and process interactions to identify root causes such as imbalance, wear, and inefficiencies. It provides clear, prioritized actions that help teams improve uptime, reduce energy consumption, and maintain consistent production quality.

    Improve Your
    Tire & Rubber Plant Reliability
    With Confidence

    Nity, Infinite Uptime’s AI-powered assistant for predictive maintenance and industrial asset performance monitoring