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PlantOS™ Case Study · SPCC Cement
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Cement Manufacturing · SPCC · Data as of Jan 2026

PLANT RELIABILITY.

Equipment Faults + Process Anomalies

Southern Province Cement Company—one of Saudi Arabia’s leading cement producers—didn’t just digitize its operations. It closed the loop: from raw sensor signal to prescribed action to user-validated production outcome. Here’s what 9X ROI looks like in under 6 months.

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3 outcomes in 1 prescription — zero guesswork.

    0
    Hrs Downtime
    Eliminated

    Unplanned. User-validated.

    0
    Tons Production
    Saved
    Clinker + Cement, Tahama Plant
    0 %

    Prediction Accuracy

    Across 6 areas, 38 critical assets
    0 X ROI
    In Under 6 Months
    193 sensors. Zero false positives
    All figures validated by SPCC's Reliability & Operations teams via PlantOS™ Prescription Engine

    SPCC

    What's inside

    FROM NOISE
    TO OUTCOMES.

    Mechanical Faults
    Vibration, wear &
    bearing degradation

    Physics + AI models detect gear mesh anomalies, bearing defects, and lubrication failure across Kiln Main Drives and VRM systems before they cascade into unplanned downtime.

    Electrical Faults
    Motor overheating &
    drive anomalies

    Temperature trend analysis at motor bearings surfaces cooling failures and load imbalances before they trip the Clinker Cooler Fans or Cement Mill drives.

    Process Induced Faults
    Parameter drift &
    quality deviation

    Continuous monitoring across Raw Material Handling, Raw Mill, Pyro, and Cement Mill stages detects process shifts before they cost tons of clinker.

    01

    193 sensors. 6 areas. One Single Source of Truth.

    How SPCC unified its Tahama plant — 38 critical assets across Raw Material, Raw Mill, Pyro, and Cement Mill sections — into a single contextualized source of truth.

    Contextualization layer
    02

    Physics + AI: precision that predictions can't match

    PlantOS™ doesn't flag anomalies. It traces root cause — across mechanical, electrical, and process domains — with 100% prediction accuracy and zero missed faults.

    Intelligence layer
    03

    Diagnostic → Recommendation → Action

    6 prescriptions acted upon. Real Diagnostic Reports with specific corrective steps — not dashboards, not alerts. Work orders that close.

    Prescriptive engine
    04

    Outcomes the plant's own engineers signed off on

    56 hours of unplanned downtime recovered. 27,814 tons of production saved. 9X ROI in under 6 months. All figures from SPCC's own Reliability & Operations team.

    Validated outcomes

    Prediction
    ≠
    Outcomes.

    Most AI deployments stop at the alert. They predict. They visualize. They dashboard. But prediction without a closed loop is just a more expensive alarm bell.

    SPCC’s deployment with PlantOS™ proves the gap isn’t in the model — it’s in the mile between insight and action. The 99% Trust Loop™ is what bridges it.
    The 99% Trust Loop™ — how outcomes are guaranteed
    1.
    Contextualize equipment + process
    6 areas, 38 assets, 1 plant — One Prescriptive AI platform
    2.
    Detect with physics-based precision
    Mechanical, electrical, and process anomalies — not noise
    3.
    Prescribe exact corrective action
    6 prescriptions. Diagnostic → Recommendation → Action
    4.
    Validate outcomes. Close the loop.
    Operators validate results in PlantOS™ Digital Reporting
    Reliability
    Reliability
    Throughput
    Throughput
    Process Quality
    Process Quality
    3 Guaranteed Outcomes. 0 Guesswork.

    We are not just looking for a tool; we are seeking a partnership. Our team is no longer running from one breakdown to the next. We now start our day with a prioritized list from the system, telling us which machine needs attention. The system is amazing.

    Mr. Alaa Farrag

    Maintenance Manager, SPCC

    Full Transformation Story

    GET THE COMPLETE PICTURE.

    The numbers above are the headline. The full story reveals the real challenges SPCC faced — alert fatigue, reactive maintenance cycles, and production uncertainty — and exactly how PlantOS™ flipped the script, delivering user-validated outcomes at every stage of the plant.

    ✔

    Real PlantOS™ Diagnostic Reports from live SPCC deployments

    ✔

    Equipment-level fault detection across mechanical, electrical & process domains

    ✔

    The 99% Trust Loop™ framework — step by step

    ✔

    User-validated outcome data, confirmed by SPCC's own maintenance team

    Download the Full Transformation Story
    Infinite Uptime · 881 plants · 26 countries · Production Outcomes. Delivered.

    Thank you for your interest in
    PlantOS™ Prescriptive AI.

    Enter your official work email to unlock specs delivering
    3 outcomes in 1 prescription — zero guesswork.

      Infinite Uptime × SPCC

      A PlantOS™ Transformation Story · Production Outcomes. Delivered.